Automotive Engineer Jobs in Jordan
1667 Jobs Found
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p>We are seeking a talented Backend Engineer to join our dynamic team focused on developing robust Platform APIs. In this role, you will be at the forefront of our technology initiatives, crafting scalable and efficient backend solutions that drive our platforms forward. As a Backend Engineer, you will work closely with cross-functional teams to ensure seamless integration of various components, enhancing the user experience and overall functionality of our services.</p><p>At our company, we believe in fostering a culture of continuous learning and growth. You will have the opportunity to work with cutting-edge technologies and participate in training programs designed to enhance your skills. Our collaborative environment encourages innovation, allowing you to contribute your ideas and solutions to real-world challenges. You will be supported by a team of experienced professionals who are committed to your development and success.</p><p>As you grow within our organization, you will have the chance to take on greater responsibilities and lead projects that have a significant impact on our business strategy. Your contributions will not only shape our product offerings but also influence the direction of our technology roadmap. We are excited to welcome a passionate engineer who is eager to make a difference and advance their career in a thriving tech environment.</p><p><b>Responsibilities:</b></p><ol><li>Design and implement scalable APIs that support various applications, utilizing programming languages such as Python or Java, ensuring high performance and responsiveness.</li><li>Collaborate with frontend developers to integrate user-facing elements with server-side logic, enhancing the overall application functionality and user experience.</li><li>Conduct code reviews and provide constructive feedback to peers, fostering a culture of quality and continuous improvement within the engineering team.</li><li>Monitor and optimize application performance, identifying bottlenecks and implementing solutions to enhance speed and efficiency across the platform.</li><li>Participate in the full software development lifecycle, from requirements gathering to deployment, ensuring timely delivery of high-quality software solutions.</li><li>Develop and maintain comprehensive documentation for APIs, ensuring clear communication of functionalities and usage to both internal teams and external partners.</li><li>Implement security measures to safeguard data and applications, adhering to industry standards and best practices to protect user information.</li><li>Engage in troubleshooting and debugging processes, swiftly resolving issues to maintain system stability and reliability.</li><li>Stay current with emerging technologies and industry trends, continuously seeking ways to innovate and improve backend processes and system architecture.</li></ol> </div><h2 class="h5">Skills</h2>
<div data-jb-field="skills"><ul><li>Proficiency in backend programming languages such as Python, Java, or Node.js is essential for developing robust applications.</li><li>Experience with RESTful API design and implementation to ensure seamless communication between services.</li><li>Strong understanding of database management systems, including SQL and NoSQL, for efficient data storage and retrieval.</li><li>Familiarity with cloud services like AWS or Azure to deploy and manage applications in scalable environments.</li><li>Knowledge of containerization technologies such as Docker for creating isolated environments for application deployment.</li><li>Ability to implement security best practices to protect sensitive data and ensure compliance with industry regulations.</li><li>Strong problem-solving skills and the ability to work collaboratively within a team to deliver high-quality software solutions.</li></ul></div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p>We are seeking a talented Backend Engineer to join our dynamic team focused on developing robust Platform APIs. In this role, you will be at the forefront of our technology initiatives, crafting scalable and efficient backend solutions that drive our platforms forward. As a Backend Engineer, you will work closely with cross-functional teams to ensure seamless integration of various components, enhancing the user experience and overall functionality of our services.</p><p>At our company, we believe in fostering a culture of continuous learning and growth. You will have the opportunity to work with cutting-edge technologies and participate in training programs designed to enhance your skills. Our collaborative environment encourages innovation, allowing you to contribute your ideas and solutions to real-world challenges. You will be supported by a team of experienced professionals who are committed to your development and success.</p><p>As you grow within our organization, you will have the chance to take on greater responsibilities and lead projects that have a significant impact on our business strategy. Your contributions will not only shape our product offerings but also influence the direction of our technology roadmap. We are excited to welcome a passionate engineer who is eager to make a difference and advance their career in a thriving tech environment.</p><p><b>Responsibilities:</b></p><ol><li>Design and implement scalable APIs that support various applications, utilizing programming languages such as Python or Java, ensuring high performance and responsiveness.</li><li>Collaborate with frontend developers to integrate user-facing elements with server-side logic, enhancing the overall application functionality and user experience.</li><li>Conduct code reviews and provide constructive feedback to peers, fostering a culture of quality and continuous improvement within the engineering team.</li><li>Monitor and optimize application performance, identifying bottlenecks and implementing solutions to enhance speed and efficiency across the platform.</li><li>Participate in the full software development lifecycle, from requirements gathering to deployment, ensuring timely delivery of high-quality software solutions.</li><li>Develop and maintain comprehensive documentation for APIs, ensuring clear communication of functionalities and usage to both internal teams and external partners.</li><li>Implement security measures to safeguard data and applications, adhering to industry standards and best practices to protect user information.</li><li>Engage in troubleshooting and debugging processes, swiftly resolving issues to maintain system stability and reliability.</li><li>Stay current with emerging technologies and industry trends, continuously seeking ways to innovate and improve backend processes and system architecture.</li></ol> </div><h2 class="h5">Skills</h2>
<div data-jb-field="skills"><ul><li>Proficiency in backend programming languages such as Python, Java, or Node.js is essential for developing robust applications.</li><li>Experience with RESTful API design and implementation to ensure seamless communication between services.</li><li>Strong understanding of database management systems, including SQL and NoSQL, for efficient data storage and retrieval.</li><li>Familiarity with cloud services like AWS or Azure to deploy and manage applications in scalable environments.</li><li>Knowledge of containerization technologies such as Docker for creating isolated environments for application deployment.</li><li>Ability to implement security best practices to protect sensitive data and ensure compliance with industry regulations.</li><li>Strong problem-solving skills and the ability to work collaboratively within a team to deliver high-quality software solutions.</li></ul></div>
<p><h4>About Lucidya</h4>
<p>Lucidya is an AI-native platform for customer experience (CX) intelligence that manages entire customer lifecycles autonomously, from initial engagement through retention and growth.</p>
<p>Unlike platforms that only surface insights and leave the action to you, Lucidya completes the loop with proprietary NLU capabilities developed entirely in-house and trained on millions of multilingual conversations, equipping marketing, support, CX, and research teams to deliver personalized experiences that drive measurable improvements in customer satisfaction, retention, and lifetime value.</p>
<h4>Why this role matters</h4>
<p>At Lucidya, we are building products that help some of the region's most recognizable brands understand and engage with their customers at scale. As our platform grows, so does the complexity of the problems we solve.</p>
<p>Great product ideas are easy. Turning them into products that customers actually use, engineers can confidently build, and the business can successfully launch is much harder.</p>
<p>That's where this role comes in.</p>
<p>As a Product Owner, you'll sit at the center of product delivery. You'll be responsible for turning customer problems, product strategy, and business priorities into clear, actionable work that engineering and design teams can execute with confidence.</p>
<p>Your impact won't be measured by how many Jira tickets you create. It will be measured by how effectively you help the team build the right things, reduce delivery friction, avoid costly rework, and deliver meaningful value to customers faster.</p>
<p>You'll work closely with Product Managers, Designers, Engineers, QA, and customer-facing teams to ensure everyone understands the problem we're solving, why it matters, and what success looks like.</p>
<p>If you enjoy bringing structure to ambiguity, asking great questions, and helping teams move faster without sacrificing quality, you'll thrive here.</p>
<h4>What you'll do</h4>
<li>Create clarity where others see complexity</li>
<p>You'll take customer feedback, business requests, product strategy, and technical requirements and transform them into clear user stories, acceptance criteria, workflows, and requirements that teams can confidently build from.</p>
<li>Own squad readiness</li>
<p>You'll make sure backlog items are ready before they enter development. Engineers shouldn't be discovering major requirements halfway through a sprint. You'll ensure the team has the context, detail, and alignment needed to deliver predictably.</p>
<li>Help the team build the right things</li>
<p>You'll partner closely with Product Managers to break large initiatives into smaller, valuable releases that allow us to learn quickly and deliver customer value faster.</p>
<li>Drive productive collaboration</li>
<p>You'll act as the bridge between product, design, engineering, QA, and customer-facing teams, ensuring everyone is aligned on priorities, scope, dependencies, and expected outcomes.</p>
<li>Challenge unclear thinking</li>
<p>When requirements are vague, assumptions are risky, or priorities don't make sense, you'll ask the hard questions. Respectfully, but confidently.</p>
<li>Reduce delivery friction</li>
<p>You'll identify risks, dependencies, and gaps before they become problems. Your goal is to help the team spend less time clarifying work and more time delivering value.</p>
<li>Protect quality and customer experience</li>
<p>You'll think beyond the happy path by considering edge cases, permissions, error handling, workflows, and usability before features reach customers.</p>
<li>Support successful launches</li>
<p>You'll help ensure internal teams understand what is being released, how it works, and what customers should expect through clear release notes, documentation, and enablement materials.</p>
<h4>Requirements</h4>
<h4>Who you are</h4>
<li>You bring structure without creating bureaucracy</li>
<p>You love organization, but you know process should help teams move faster, not slow them down.</p>
<li>You care about outcomes, not ticket completion</li>
<p>Closing a story isn't success. Solving a customer problem is.</p>
<li>You ask great questions</li>
<p>You naturally challenge assumptions, uncover hidden requirements, and identify risks before they become expensive mistakes.</p>
<li>You communicate clearly</li>
<p>You can explain a complex technical requirement to a designer, a customer problem to an engineer, and a product decision to a stakeholder without creating confusion.</p>
<li>You thrive in cross-functional environments</li>
<p>You enjoy working closely with engineers, designers, QA, Product Managers, and customer-facing teams to solve problems collaboratively.</p>
<li>You have strong product delivery experience</li>
<p>You have at least 3 years of experience as a Product Owner, Business Analyst, Associate Product Manager, or a similar role where you've owned requirements, backlog management, and delivery readiness.</p>
<li>You're comfortable with technical concepts</li>
<p>You don't need to write code, but you're comfortable discussing APIs, integrations, data models, permissions, workflows, and platform behavior with engineering teams.</p>
<li>You're comfortable with ambiguity</li>
<p>You won't always receive perfect requirements or complete information. You're able to create clarity and move things forward without waiting for every answer.</p>
<p>You'll likely stand out if you have experience with:</p>
<li>B2B SaaS products</li>
<li>Customer experience (CX) platforms</li>
<li>Social listening or customer engagement tools</li>
<li>CRM, CDP, analytics, or workflow products</li>
<li>AI-powered products and automation</li>
<li>Arabic-first or MENA-focused products</li>
<li>Product analytics and adoption metrics</li>
<h4>What success looks like</h4>
<p>Within your first few months:</p>
<li>Backlog items enter development with significantly fewer unanswered questions.</li>
<li>Sprint planning becomes more predictable because work is properly prepared and understood.</li>
<li>Engineers spend less time seeking clarification and more time building.</li>
<li>Rework decreases because requirements, edge cases, and acceptance criteria are defined upfront.</li>
<li>Stakeholders trust delivery updates because expectations, trade-offs, and risks are communicated clearly.</li>
<li>Product releases are smoother because internal teams are prepared and aligned.</li>
<li>Most importantly, customers receive better products because the team consistently understands the problem before building the solution.</li>
<h4>What the hiring process will look like</h4>
<li>Intro call with TA</li>
<li>Interview with HM</li>
<li>Case study</li>
<li>Presentation interview</li>
<li>Culture fit / offer</li>
<p>At Lucidya, we care deeply about ownership, curiosity, speed, and continuous improvement. We look for people who challenge ideas respectfully, communicate openly, and genuinely care about building products that solve real customer problems.</p>
<p>If that sounds like the environment where you do your best work, we'd love to meet you.</p></p><p></p>
<p>Managing relationships with premium segment clients by adhering to the highest standards of service quality, responding to their inquiries, and processing their transactions with the required speed and efficiency all with the aim of strengthening the relationship with them and attracting new clients from this segment. Additionally, promoting the bank's services and products, including new offerings, and explaining them in a clear, accurate, and professional manner in order to increase the bank s sales and achieve the desired objectives.</p><p><strong>Responsibilities:</strong></p><ul><li>Welcomes premium clients, understands their requests and needs for the bank s services and products, and works to fulfill them efficiently with the highest levels of service within defined standards.</li><li>Responds to their inquiries in a way that reflects positively on the bank and ensures building good, long-term relationships to guarantee their ongoing business with the bank.</li><li>Markets all the bank s services and products, including new ones, to premium clients and explains them clearly, professionally, and accurately to increase the bank s sales of these services and products and achieve objectives.</li><li>Implements the external and internal sales plan to acquire new clients in the premium segment.</li><li>Conducts regular field visits to current and targeted clients to open new communication channels and attract a new client base, contributing to the growth of the bank s portfolio in both assets and liabilities.</li><li>Studies credit facility requests submitted by portfolio clients, verifies completeness of data and necessary information, ensures compliance with conditions and approved credit policy, checks completeness of documents, records recommendations, and forwards them to the direct supervisor.</li><li>Manages relationships with premium clients within the portfolio and works on developing and providing high-quality service through various bank service channels, including cross-selling and after-sales services.</li><li>Receives requests (including client requests) through the CRM-CX system or related forms for: Opening new and additional accounts and related tasks and modifications, including linked accounts. Requests for issuing balance certificates, interest, and commissions. Requests for subscription, rental, renewal, and cancellation of safety deposit boxes. Requests for credit cards, Visa Electron, prepaid cards, and electronic services. Requests for opening, renewing, and canceling deposits and certificates of deposit on the banking system. Requests for standing orders and instructions. Requests for transfers between accounts. Requests for personal loans (personal advances, car financing, housing loans). Requests for power of attorney. Requests for special conditions.</li><li>Receives checkbook requests and inputs them into the automated system.</li><li>Issues and executes transfers on the automated system.</li><li>Updates premium clients data.</li><li>Follows up on the execution of premium segment transactions by the relevant departments, ensures completion of all documents and rectification of transaction errors, reviews pending (unexecuted) transactions, and identifies reasons for non-execution to ensure processing and protect the bank s rights.</li><li>Collects various information about premium clients and updates their data in coordination with relevant departments to maintain accurate and up-to-date information for communication and to identify potential sales opportunities.</li><li>Monitors and promotes premium client services and encourages clients to develop their relationship with the bank to increase profitability for this segment.</li><li>Handles telephone and verbal inquiries from premium clients and provides solutions to problems that may arise during transaction processing as quickly as possible to facilitate service delivery.</li><li>Follows up on any feedback or suggestions from clients and takes them into consideration to strengthen relationships.</li><li>Ensures compliance with audit, regulatory, and anti-money laundering requirements, conducts Know Your Customer reviews, and assesses risks related to onboarding new clients.</li><li>Works closely with branch/area managers and the segment development unit to build a selected premium client base, ensuring increased bank profitability and achievement of required performance indicators.</li><li>Proposes, in coordination with relevant parties, modifications to bank products and services and contributes to proposing new competitive products based on feedback received from clients of various targeted products.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>University degree in administrative sciences, banking, or any related field.</li><li>Practical experience of no less than 3 years in sales management and customer service.</li><li>Practical experience with CRM-CX systems.</li><li>Knowledge of the English language.</li><li>Thorough knowledge of the bank s services, products, and approved programs.</li><li>Good knowledge of policies and procedures governing work and their updates (both internal and external).</li><li>Proficiency in using computers and working with various applied systems.</li><li>Skills in direct selling, cross-selling, and relationship management.</li><li>Time management skills.</li><li>Analytical skills.</li><li>Ability to negotiate and persuade.</li><li>Ability to motivate and work in a team spirit.</li><li>Politeness and good manners.</li><li>Ability to understand clients needs.</li><li>Ability to plan, implement, and manage educational workshops related to sales and services.</li><li>Ability to handle and resolve customer complaints within authorized limits.</li><li>Verbal communication skills and the ability to interact with others (internal and external clients).</li><li>Ability to handle work pressure.</li></ul>
<p>Join Haskoning and contribute to a major port and industrial infrastructure programme in Jordan. With over 140 years of experience and a strong international presence, we support complex projects worldwide through technical excellence, collaboration, and sustainable solutions.</p><p>What you will do as a Hydraulic Engineer</p><p>We are looking for a Hydraulic / Flood Protection Engineer to support the Southern Expansion Project for the Arab Potash Company (APC). The role focuses primarily on the design and development of river training and hydraulic protection works, supporting safe and efficient implementation of flood protection measures in a complex wadi system. The Hydraulic Engineer will work closely with designers and modellers, providing technical expertise in the design and detailing of diversion dikes, wadi channel stabilisation measures, and erosion protection systems. The role is oriented towards translating hydraulic boundary conditions into practical and robust design solutions.</p><p>Project Context</p><p>Haskoning is supporting the Southern Expansion Project of the Arab Potash Company (APC), which includes large-scale hydraulic and onshore infrastructure works in the Aqaba / Dead Sea region. A key component of the project consists of designing wadi diversion and protection works around the South Expansion area. This includes the development of diversion dikes and reinforcement of existing wadi channels in a highly dynamic flash flood environment. The system is characterised by multiple wadis with different hydraulic behaviour, discharges, and sediment transport mechanisms. Designs must account for the interaction between hydraulic loading and the soil-bed system, including risks related to erosion, local scour, and the performance of rock armour layers, revetments, and related protection measures</p><p><b><br></b></p><p><b>Key Responsibilities</b></p><ul><li>Support the design and detailing of river training and hydraulic protection works, including:</li><ul><li>Diversion dikes for wadi systems</li><li>Bank protection, revetments and channel stabilisation measures</li></ul><li>Translate hydraulic inputs (discharges, water levels, velocities, sediment behaviour) into feasible and well-founded designs</li><li>Work closely with in-house modellers to iteratively develop and improve design solutions</li><li>Prepare and review design calculations, drawings, and technical documentation</li><li>Evaluate the adequacy of rock gradings, filter layers, and geotextiles in relation to hydraulic loading conditions</li><li>Contribute to design choices regarding materials, layouts, and constructability of protection works</li><li>Provide technical input on hydraulic risks, including erosion and scour, and propose mitigation measures</li><li>Support limited review of contractor submissions where relevant to hydraulic design intent</li><li>Coordinate with multidisciplinary teams, including geotechnical, structural, and environmental specialists</li></ul><p>Start Date</p><p>As soon as possible</p><p>Where you will work</p><p>Location and Duration</p><p>Location: Aqaba / Dead Sea Area, Jordan</p><p>Duration: Initial contract of 6 months, with potential extension subject to project needs and performance</p><p>Working Hours: Six days per week (Friday off)</p><p>What you bring</p><p>This vacancy is intended for a locally based candidate in Jordan . The ideal candidate will have:</p><ul><li>A degree in Hydraulic Engineering, Civil Engineering, or a related field</li><li>Minimum 5 years of relevant experience in hydraulic engineering, with a focus on design of river training works, wadi systems, or erosion protection measures</li><li>Experience with the design of diversion structures, revetments, and channel stabilisation works is a strong asset</li><li>Strong understanding of hydrodynamics, scour processes, bed stability, and erosion mechanisms in dynamic systems</li><li>Experience with rock armour design, filter rules, and geotextiles</li><li>Ability to develop and detail practical, buildable design solutions</li><li>Experience with design tools such as AutoCAD / Civil 3D / Revit is an advantage</li><li>Strong communication skills and ability to collaborate with modellers and design leads</li></ul><p>What you can expect from us</p><p>We offer a dynamic and professional working environment within an international consultancy. You will be part of a multidisciplinary team delivering a strategically important infrastructure project, with a strong focus on the design of hydraulic protection works in a challenging flash flood environment</p><p>Are You Our New Colleague? Then we would like to meet you! Click on the apply button and upload your resume and motivation letter. After receiving your application, we will contact you as soon as possible. The application process then consists of 1 or 2 interviews and possible an assessment. Are we all enthusiastic after this? Then you will receive an offer from us, and we will be happy to welcome you on board! Do you have any questions about the role or the process? You can always contact EMAIL_ADDRESS . At Haskoning, we are committed to fostering a diverse and inclusive workplace where everyone feels valued, respected, and empowered. Our mission of "Enhancing Society Together" drives us to create an environment that embraces each individual s unique background, identity, and perspective. Regardless of your experience, background, age, gender, or other personal characteristics you are welcome here. We believe that diversity makes us stronger and that an inclusive culture gives everyone the opportunity to grow and contribute. Read more about our ED&I initiatives on our dedicated webpage . Due to the privacy law, please submit your application via the apply button and not via email. Acquisition for this vacancy by agencies is not appreciated and offered candidates will not be taken into consideration.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>A degree in Hydraulic Engineering, Civil Engineering, or a related field</li><li>Minimum 5 years of relevant experience in hydraulic engineering, with a focus on design of river training works, wadi systems, or erosion protection measures</li><li>Experience with the design of diversion structures, revetments, and channel stabilisation works is a strong asset</li><li>Strong understanding of hydrodynamics, scour processes, bed stability, and erosion mechanisms in dynamic systems</li><li>Experience with rock armour design, filter rules, and geotextiles</li><li>Ability to develop and detail practical, buildable design solutions</li><li>Experience with design tools such as AutoCAD / Civil 3D / Revit is an advantage</li><li>Strong communication skills and ability to collaborate with modellers and design leads</li></ul>
<p><h4>Description</h4>
<p>A leading global pharmaceutical company is seeking a Director, Data & Analytics to take ownership of the strategy, architecture, delivery, and operational performance of its Data & Analytics function. This is a hands-on leadership role overseeing the enterprise data platform, the data products the business relies on, and the team behind them, setting technical direction, delivery standards, and investment priorities while staying personally engaged in key architecture and design decisions. The ideal candidate combines strong technical credibility with senior leadership experience, and will be directly accountable for making the platform AI-ready, ensuring data is governed, traceable, and model-grade to support regulated AI deployment.</p>
<h4>Responsibilities:</h4>
<p><strong>1. Platform architecture & engineering leadership:</strong><br>
Own the enterprise data platform, Azure Data Lake Storage Gen2, Databricks lakehouse (Medallion architecture), Power BI, and Unity Catalog, ensuring it is architecturally sound, standardized, reliable, and engineered to scale.<br>
Set and enforce platform engineering standards: ingestion patterns, transformation conventions, Medallion layer contracts, data quality gates, Bronze-to-Gold promotion criteria, and the CI/CD framework that delivers all of it.<br>
Own the Unity Catalog governance model, RBAC, lineage, business glossary, and metric definitions, as the platform-enforced foundation for trusted data.<br>
Drive the platform roadmap from current state to target, sequencing technical debt remediation, new capability build-out, and platform readiness for downstream AI and analytics demand.<br>
Personally lead design reviews and architecture decisions for the platform, engaging directly with the engineering team on complex technical problems where senior technical judgment is required.<br>
Own data platform observability and operational excellence, pipeline reliability, SLA adherence, incident response, and data quality monitoring.</p>
<p><strong>2. Delivery & data products:</strong><br>
Run the D&A delivery programme, from source ingestion and pipeline engineering through to analytics, semantic layer, and data product delivery for business functions.<br>
Set and enforce delivery standards: sprint cadence, code review, documentation, testing, validation, and release management practices that govern all team output.<br>
Define and own data SLAs to the business, pipeline refresh frequency, availability, and incident response commitments, and ensure delivery is held against them.<br>
Own the data integration roadmap, prioritising ingestion of new source systems into the lake in alignment with business demand and platform readiness.<br>
Manage complex integration challenges across source systems, engaging directly on technical constraints, working with upstream owners, and designing solutions that align data latency and refresh frequency with business needs.<br>
Own the portfolio of data products, datasets, semantic models, and analytics deliverables, ensuring each is documented, well-understood, and fit for the business question it answers.<br>
Define and own the standard for what a Gold-layer data product must satisfy to be AI-ready, distinguishing analytics-grade from model-training-grade, with explicit criteria covering completeness, label integrity, statistical consistency, and lineage traceability.</p>
<p><strong>3. Data governance & quality:</strong><br>
Design and operate the data governance operating model, data ownership, stewardship, quality standards, business glossary, and metric definitions.<br>
Embed data quality gates into Medallion layer promotion, making quality a precondition of Bronze-to-Gold progression, with measurable thresholds and clear remediation paths.<br>
Own data lineage visibility across the platform so business users can trace the provenance of every number they rely on, end-to-end from source to dashboard.<br>
Lead the technical evaluation, selection, and implementation of enterprise data catalogue tooling, including integration with Unity Catalog and the platform metadata layer.<br>
Embed appropriate data handling, validation, and audit-trail practices for regulated data domains, partnering with Quality, Regulatory, and Legal to ensure compliance requirements are met by design.<br>
Establish data quality measurement as a managed practice, KPIs, dashboards, periodic review, and accountability with data owners.<br>
Establish data lineage and provenance practices that satisfy AI explainability and regulatory auditability requirements, including GxP-compliant audit trails for Quality, Manufacturing, and Regulatory AI use cases.</p>
<p><strong>4. Team leadership & capability development:</strong><br>
Lead, hire, and develop the D&A team, Data Engineers, Analytics Engineers, BI Developers, and Business Analysts, sequencing hires in alignment with the platform roadmap and delivery demand.<br>
Define and evolve the role design, skills profile, and career framework for the team within the broader Data & AI CoE structure.<br>
Set the team's performance culture: clear ownership, high engineering standards, fast feedback, continuous learning, and documentation as a team discipline.<br>
Coach and develop team members directly, identifying high-potential individuals, investing in their technical and leadership growth, and building bench strength across roles.<br>
Manage team capacity and allocation across the platform roadmap and business delivery demand, ensuring focus stays on high-value work aligned to strategic priorities.<br>
Set the engineering craft culture, code review, design review, pairing, and shared technical standards, that lifts the technical quality of all team output.</p>
<p><strong>5. Business partnership & vendor engagement:</strong><br>
Serve as the senior D&A point of contact for business function leadership, translating business data needs into platform and delivery priorities.<br>
Build credibility with business stakeholders through reliable, consistent delivery, data products that are well-understood, well-documented, and match business expectations.<br>
Communicate proactively on platform status, delivery commitments, risks, and trade-offs, ensuring stakeholders have a current view and surfacing issues early.<br>
Represent D&A in cross-functional planning forums, ensuring the data foundation perspective is present in enterprise architecture, application, and AI investment decisions.<br>
Manage operational vendor and partner relationships for the data platform, Databricks, Microsoft Azure, Power BI, and implementation or augmentation partners.</p>
<h4>Requirements</h4>
<p>Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or related discipline.<br>
Master's degree in Data Science, Computer Science, Business Administration, or related field is preferred.<br>
Relevant certifications in cloud data platforms (e.g., Azure Data Engineer, Databricks Certified Data Engineer Professional) are preferred.<br>
Minimum 10 years of progressive experience in data engineering, data platform, or enterprise analytics roles.<br>
Minimum 5 years in a senior leadership role with direct team management accountability, hiring, developing, and performance managing a multi-disciplinary technical team.<br>
Proven hands-on production experience with Databricks (Delta Lake, Unity Catalog) and Azure data services at platform-design and engineering-lead level.<br>
Proven track record building or substantially remediating a cloud-native data platform in a complex, multi-source enterprise environment.<br>
Experience with Medallion/lakehouse architecture patterns in production.<br>
Experience designing data products and platform capabilities for AI/ML consumption, including Feature Store design, training dataset engineering, and ML data lineage is preferred.<br>
Experience working at the interface of a data platform team and an AI/ML team, translating model requirements into data infrastructure specifications and owning the data readiness handoff is preferred.<br>
Experience leading a data governance or catalogue implementation, from design through to business adoption.<br>
Life sciences, pharmaceutical, or other regulated industry experience is preferred.</p>
<h4>Skills:</h4>
<p><strong>Technical competencies:</strong><br>
Data platform architecture<br>
Data engineering, pipeline design & CDC patterns<br>
Data modelling, transformation & engineering standards<br>
Data governance, quality & catalogue<br>
Analytics & BI delivery<br>
MLOps & ML platform foundations<br>
Delivery management & agile methods</p>
<p><strong>Platform & technical skills:</strong><br>
Deep practical expertise in Azure data services: ADLS Gen2, Azure Data Factory, Azure DevOps.<br>
Hands-on production experience with Databricks, Delta Lake, notebooks, Unity Catalog, MLflow.<br>
Strong understanding of incremental load and CDC patterns across enterprise source systems (SAP, Veeva, SuccessFactors, and similar).<br>
Power BI at the semantic layer level, understanding how the semantic layer should be designed for enterprise scale.<br>
CI/CD for data pipelines, practical implementation at production scale.<br>
Data quality frameworks, profiling, expectation testing, alerting, and remediation workflows.<br>
Working knowledge of modern data governance tooling: Unity Catalog, Collibra, Purview, or DataHub.</p>
<p><strong>Leadership & business skills:</strong><br>
Credible with both technical teams and senior business stakeholders.<br>
Strong delivery discipline, owns commitments, communicates risks early, and sizes work realistically.<br>
Structured thinker, able to take a complex current state and produce a clear, prioritised, sequenced roadmap.<br>
Strong written and verbal communication in English; Arabic proficiency valued.<br>
Cultural intelligence for working effectively across MENA, US, and Europe.</p></p><p></p>
<p><h4>Description</h4>
<p>A leading global pharmaceutical company is seeking a Director, Data & Analytics to take ownership of the strategy, architecture, delivery, and operational performance of its Data & Analytics function. This is a hands-on leadership role overseeing the enterprise data platform, the data products the business relies on, and the team behind them, setting technical direction, delivery standards, and investment priorities while staying personally engaged in key architecture and design decisions. The ideal candidate combines strong technical credibility with senior leadership experience, and will be directly accountable for making the platform AI-ready, ensuring data is governed, traceable, and model-grade to support regulated AI deployment.</p>
<h4>Responsibilities:</h4>
<p><strong>1. Platform architecture & engineering leadership:</strong><br>
Own the enterprise data platform, Azure Data Lake Storage Gen2, Databricks lakehouse (Medallion architecture), Power BI, and Unity Catalog, ensuring it is architecturally sound, standardized, reliable, and engineered to scale.<br>
Set and enforce platform engineering standards: ingestion patterns, transformation conventions, Medallion layer contracts, data quality gates, Bronze-to-Gold promotion criteria, and the CI/CD framework that delivers all of it.<br>
Own the Unity Catalog governance model, RBAC, lineage, business glossary, and metric definitions, as the platform-enforced foundation for trusted data.<br>
Drive the platform roadmap from current state to target, sequencing technical debt remediation, new capability build-out, and platform readiness for downstream AI and analytics demand.<br>
Personally lead design reviews and architecture decisions for the platform, engaging directly with the engineering team on complex technical problems where senior technical judgment is required.<br>
Own data platform observability and operational excellence, pipeline reliability, SLA adherence, incident response, and data quality monitoring.</p>
<p><strong>2. Delivery & data products:</strong><br>
Run the D&A delivery programme, from source ingestion and pipeline engineering through to analytics, semantic layer, and data product delivery for business functions.<br>
Set and enforce delivery standards: sprint cadence, code review, documentation, testing, validation, and release management practices that govern all team output.<br>
Define and own data SLAs to the business, pipeline refresh frequency, availability, and incident response commitments, and ensure delivery is held against them.<br>
Own the data integration roadmap, prioritising ingestion of new source systems into the lake in alignment with business demand and platform readiness.<br>
Manage complex integration challenges across source systems, engaging directly on technical constraints, working with upstream owners, and designing solutions that align data latency and refresh frequency with business needs.<br>
Own the portfolio of data products, datasets, semantic models, and analytics deliverables, ensuring each is documented, well-understood, and fit for the business question it answers.<br>
Define and own the standard for what a Gold-layer data product must satisfy to be AI-ready, distinguishing analytics-grade from model-training-grade, with explicit criteria covering completeness, label integrity, statistical consistency, and lineage traceability.</p>
<p><strong>3. Data governance & quality:</strong><br>
Design and operate the data governance operating model, data ownership, stewardship, quality standards, business glossary, and metric definitions.<br>
Embed data quality gates into Medallion layer promotion, making quality a precondition of Bronze-to-Gold progression, with measurable thresholds and clear remediation paths.<br>
Own data lineage visibility across the platform so business users can trace the provenance of every number they rely on, end-to-end from source to dashboard.<br>
Lead the technical evaluation, selection, and implementation of enterprise data catalogue tooling, including integration with Unity Catalog and the platform metadata layer.<br>
Embed appropriate data handling, validation, and audit-trail practices for regulated data domains, partnering with Quality, Regulatory, and Legal to ensure compliance requirements are met by design.<br>
Establish data quality measurement as a managed practice, KPIs, dashboards, periodic review, and accountability with data owners.<br>
Establish data lineage and provenance practices that satisfy AI explainability and regulatory auditability requirements, including GxP-compliant audit trails for Quality, Manufacturing, and Regulatory AI use cases.</p>
<p><strong>4. Team leadership & capability development:</strong><br>
Lead, hire, and develop the D&A team, Data Engineers, Analytics Engineers, BI Developers, and Business Analysts, sequencing hires in alignment with the platform roadmap and delivery demand.<br>
Define and evolve the role design, skills profile, and career framework for the team within the broader Data & AI CoE structure.<br>
Set the team's performance culture: clear ownership, high engineering standards, fast feedback, continuous learning, and documentation as a team discipline.<br>
Coach and develop team members directly, identifying high-potential individuals, investing in their technical and leadership growth, and building bench strength across roles.<br>
Manage team capacity and allocation across the platform roadmap and business delivery demand, ensuring focus stays on high-value work aligned to strategic priorities.<br>
Set the engineering craft culture, code review, design review, pairing, and shared technical standards, that lifts the technical quality of all team output.</p>
<p><strong>5. Business partnership & vendor engagement:</strong><br>
Serve as the senior D&A point of contact for business function leadership, translating business data needs into platform and delivery priorities.<br>
Build credibility with business stakeholders through reliable, consistent delivery, data products that are well-understood, well-documented, and match business expectations.<br>
Communicate proactively on platform status, delivery commitments, risks, and trade-offs, ensuring stakeholders have a current view and surfacing issues early.<br>
Represent D&A in cross-functional planning forums, ensuring the data foundation perspective is present in enterprise architecture, application, and AI investment decisions.<br>
Manage operational vendor and partner relationships for the data platform, Databricks, Microsoft Azure, Power BI, and implementation or augmentation partners.</p>
<h4>Requirements</h4>
<p>Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or related discipline.<br>
Master's degree in Data Science, Computer Science, Business Administration, or related field is preferred.<br>
Relevant certifications in cloud data platforms (e.g., Azure Data Engineer, Databricks Certified Data Engineer Professional) are preferred.<br>
Minimum 10 years of progressive experience in data engineering, data platform, or enterprise analytics roles.<br>
Minimum 5 years in a senior leadership role with direct team management accountability, hiring, developing, and performance managing a multi-disciplinary technical team.<br>
Proven hands-on production experience with Databricks (Delta Lake, Unity Catalog) and Azure data services at platform-design and engineering-lead level.<br>
Proven track record building or substantially remediating a cloud-native data platform in a complex, multi-source enterprise environment.<br>
Experience with Medallion/lakehouse architecture patterns in production.<br>
Experience designing data products and platform capabilities for AI/ML consumption, including Feature Store design, training dataset engineering, and ML data lineage is preferred.<br>
Experience working at the interface of a data platform team and an AI/ML team, translating model requirements into data infrastructure specifications and owning the data readiness handoff is preferred.<br>
Experience leading a data governance or catalogue implementation, from design through to business adoption.<br>
Life sciences, pharmaceutical, or other regulated industry experience is preferred.</p>
<h4>Skills:</h4>
<p><strong>Technical competencies:</strong><br>
Data platform architecture<br>
Data engineering, pipeline design & CDC patterns<br>
Data modelling, transformation & engineering standards<br>
Data governance, quality & catalogue<br>
Analytics & BI delivery<br>
MLOps & ML platform foundations<br>
Delivery management & agile methods</p>
<p><strong>Platform & technical skills:</strong><br>
Deep practical expertise in Azure data services: ADLS Gen2, Azure Data Factory, Azure DevOps.<br>
Hands-on production experience with Databricks, Delta Lake, notebooks, Unity Catalog, MLflow.<br>
Strong understanding of incremental load and CDC patterns across enterprise source systems (SAP, Veeva, SuccessFactors, and similar).<br>
Power BI at the semantic layer level, understanding how the semantic layer should be designed for enterprise scale.<br>
CI/CD for data pipelines, practical implementation at production scale.<br>
Data quality frameworks, profiling, expectation testing, alerting, and remediation workflows.<br>
Working knowledge of modern data governance tooling: Unity Catalog, Collibra, Purview, or DataHub.</p>
<p><strong>Leadership & business skills:</strong><br>
Credible with both technical teams and senior business stakeholders.<br>
Strong delivery discipline, owns commitments, communicates risks early, and sizes work realistically.<br>
Structured thinker, able to take a complex current state and produce a clear, prioritised, sequenced roadmap.<br>
Strong written and verbal communication in English; Arabic proficiency valued.<br>
Cultural intelligence for working effectively across MENA, US, and Europe.</p></p><p></p>
<p><h4>About the opportunity</h4>
<p>We are hiring on behalf of a major government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious applied AI programs.</p>
<p>This organisation is creating AI-powered products and platforms that will transform public services across the Emirate. The work spans retrieval systems, agent-based workflows, sovereign AI infrastructure, and production-grade applications that must operate securely, reliably, and at scale.</p>
<p>This is an opportunity to build highly impactful AI products used in real-world government environments where quality, trust, and operational excellence are essential.</p>
<h4>Role overview</h4>
<p>We are looking for a senior AI product engineer to own the end-to-end delivery of AI-powered products.</p>
<p>You will design and build the retrieval pipelines and agent workflows that power intelligent applications, the backend services that support them, and the user interfaces that deliver value to end users. This role combines applied AI engineering with strong product judgment.</p>
<p>You should be comfortable working across the full stack—from Python-based AI systems and APIs to React frontends—and accountable for how your products perform in production.</p>
<p>At the senior level, you will:</p>
<ul>
<li>Own AI product features from concept through production</li>
<li>Build and optimize RAG pipelines and agent-based systems</li>
<li>Develop backend services and modern user interfaces</li>
<li>Make sound technical and product decisions</li>
<li>Use AI coding tools such as Codex, Claude Code, or similar as part of your daily workflow</li>
</ul>
<h4>Key responsibilities</h4>
<p><strong>End-to-end AI product development</strong></p>
<ul>
<li>Design and build AI-powered assistants, copilots, and automation tools</li>
<li>Architect retrieval-augmented generation (RAG) pipelines, including ingestion, embeddings, vector search, and reranking</li>
<li>Develop agent-based workflows with tool use, planning, and multi-step reasoning</li>
<li>Build reusable AI components and integration libraries for multiple products</li>
</ul>
<p><strong>Full-stack engineering</strong></p>
<ul>
<li>Build React and Next.js interfaces with streaming responses and conversational experiences</li>
<li>Develop backend APIs and services in Python, Java/Kotlin, or Node.js</li>
<li>Work with PostgreSQL, Redis, DocumentDB, Azure Blob Storage, and vector databases such as pgvector or Qdrant</li>
<li>Instrument AI systems using Langfuse and Grafana for tracing and observability</li>
</ul>
<p><strong>Product ownership & engineering excellence</strong></p>
<ul>
<li>Evaluate product requirements and ensure solutions solve the right problems</li>
<li>Optimize systems for reliability, latency, and user trust</li>
<li>Document technical decisions and architecture clearly</li>
<li>Mentor engineers and contribute to engineering best practices</li>
</ul>
<h4>Basic qualifications</h4>
<ul>
<li>7+ years of software engineering experience</li>
<li>Proven experience shipping end-to-end product features across AI, backend, and frontend layers</li>
<li>Strong proficiency in Python and experience building LLM-powered systems</li>
<li>Solid React fundamentals, including state management, accessibility, and performance</li>
<li>Experience building production APIs in Python, Java/Kotlin, or Node.js</li>
<li>Working knowledge of PostgreSQL and relational schema design</li>
<li>Understanding of common LLM production challenges such as hallucination, latency, and context degradation</li>
<li>Practical use of AI coding assistants such as Codex or Claude Code</li>
<li>Strong system design, testing, debugging, and performance optimization skills</li>
</ul>
<h4>Preferred qualifications</h4>
<ul>
<li>Experience with LangGraph, LangChain, Semantic Kernel, AutoGen, or CrewAI</li>
<li>Experience designing streaming APIs with SSE or WebSockets</li>
<li>Strong familiarity with Next.js, Tailwind CSS, TanStack Query, and Zustand</li>
<li>Experience deploying AI applications on Azure using Docker and CI/CD pipelines</li>
<li>Familiarity with vector databases such as Qdrant or pgvector</li>
<li>Experience working in government, public sector, financial services, or other regulated environments</li>
</ul>
<h4>Technology stack</h4>
<ul>
<li>Frontend: React, Next.js, Tailwind CSS</li>
<li>Backend: Python, Java, Kotlin, Node.js</li>
<li>AI & LLM: LangChain, LangGraph, Microsoft Agent Framework, vector databases, OCR, ASR, TTS</li>
<li>Data: PostgreSQL, Redis, DocumentDB, Azure Blob Storage</li>
<li>Observability: Langfuse, Grafana</li>
<li>Infrastructure: Docker, Azure, CI/CD pipelines</li>
<li>AI development: Codex, Claude Code, OpenCode</li>
</ul>
<h4>What we’re looking for</h4>
<p>You are an engineer who:</p>
<ul>
<li>Takes ownership across the full product lifecycle</li>
<li>Balances technical depth with strong product judgment</li>
<li>Builds AI products that users trust in production</li>
<li>Makes evidence-based decisions</li>
<li>Communicates clearly and proactively</li>
<li>Embraces AI-native development practices</li>
</ul>
<h4>Why apply?</h4>
<p>This is an opportunity to help shape the future of AI-powered public services in Abu Dhabi.</p>
<p>You’ll work on meaningful products with real-world impact, solving complex challenges in applied AI, product engineering, and large-scale deployment.</p></p><p></p>
<p><h4>About the opportunity</h4>
<p>We are hiring on behalf of a major government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious applied AI programs.</p>
<p>This organisation is creating AI-powered products and platforms that will transform public services across the Emirate. The work spans retrieval systems, agent-based workflows, sovereign AI infrastructure, and production-grade applications that must operate securely, reliably, and at scale.</p>
<p>This is an opportunity to build highly impactful AI products used in real-world government environments where quality, trust, and operational excellence are essential.</p>
<h4>Role overview</h4>
<p>We are looking for a senior AI product engineer to own the end-to-end delivery of AI-powered products.</p>
<p>You will design and build the retrieval pipelines and agent workflows that power intelligent applications, the backend services that support them, and the user interfaces that deliver value to end users. This role combines applied AI engineering with strong product judgment.</p>
<p>You should be comfortable working across the full stack—from Python-based AI systems and APIs to React frontends—and accountable for how your products perform in production.</p>
<p>At the senior level, you will:</p>
<ul>
<li>Own AI product features from concept through production</li>
<li>Build and optimize RAG pipelines and agent-based systems</li>
<li>Develop backend services and modern user interfaces</li>
<li>Make sound technical and product decisions</li>
<li>Use AI coding tools such as Codex, Claude Code, or similar as part of your daily workflow</li>
</ul>
<h4>Key responsibilities</h4>
<p><strong>End-to-end AI product development</strong></p>
<ul>
<li>Design and build AI-powered assistants, copilots, and automation tools</li>
<li>Architect retrieval-augmented generation (RAG) pipelines, including ingestion, embeddings, vector search, and reranking</li>
<li>Develop agent-based workflows with tool use, planning, and multi-step reasoning</li>
<li>Build reusable AI components and integration libraries for multiple products</li>
</ul>
<p><strong>Full-stack engineering</strong></p>
<ul>
<li>Build React and Next.js interfaces with streaming responses and conversational experiences</li>
<li>Develop backend APIs and services in Python, Java/Kotlin, or Node.js</li>
<li>Work with PostgreSQL, Redis, DocumentDB, Azure Blob Storage, and vector databases such as pgvector or Qdrant</li>
<li>Instrument AI systems using Langfuse and Grafana for tracing and observability</li>
</ul>
<p><strong>Product ownership & engineering excellence</strong></p>
<ul>
<li>Evaluate product requirements and ensure solutions solve the right problems</li>
<li>Optimize systems for reliability, latency, and user trust</li>
<li>Document technical decisions and architecture clearly</li>
<li>Mentor engineers and contribute to engineering best practices</li>
</ul>
<h4>Basic qualifications</h4>
<ul>
<li>7+ years of software engineering experience</li>
<li>Proven experience shipping end-to-end product features across AI, backend, and frontend layers</li>
<li>Strong proficiency in Python and experience building LLM-powered systems</li>
<li>Solid React fundamentals, including state management, accessibility, and performance</li>
<li>Experience building production APIs in Python, Java/Kotlin, or Node.js</li>
<li>Working knowledge of PostgreSQL and relational schema design</li>
<li>Understanding of common LLM production challenges such as hallucination, latency, and context degradation</li>
<li>Practical use of AI coding assistants such as Codex or Claude Code</li>
<li>Strong system design, testing, debugging, and performance optimization skills</li>
</ul>
<h4>Preferred qualifications</h4>
<ul>
<li>Experience with LangGraph, LangChain, Semantic Kernel, AutoGen, or CrewAI</li>
<li>Experience designing streaming APIs with SSE or WebSockets</li>
<li>Strong familiarity with Next.js, Tailwind CSS, TanStack Query, and Zustand</li>
<li>Experience deploying AI applications on Azure using Docker and CI/CD pipelines</li>
<li>Familiarity with vector databases such as Qdrant or pgvector</li>
<li>Experience working in government, public sector, financial services, or other regulated environments</li>
</ul>
<h4>Technology stack</h4>
<ul>
<li>Frontend: React, Next.js, Tailwind CSS</li>
<li>Backend: Python, Java, Kotlin, Node.js</li>
<li>AI & LLM: LangChain, LangGraph, Microsoft Agent Framework, vector databases, OCR, ASR, TTS</li>
<li>Data: PostgreSQL, Redis, DocumentDB, Azure Blob Storage</li>
<li>Observability: Langfuse, Grafana</li>
<li>Infrastructure: Docker, Azure, CI/CD pipelines</li>
<li>AI development: Codex, Claude Code, OpenCode</li>
</ul>
<h4>What we’re looking for</h4>
<p>You are an engineer who:</p>
<ul>
<li>Takes ownership across the full product lifecycle</li>
<li>Balances technical depth with strong product judgment</li>
<li>Builds AI products that users trust in production</li>
<li>Makes evidence-based decisions</li>
<li>Communicates clearly and proactively</li>
<li>Embraces AI-native development practices</li>
</ul>
<h4>Why apply?</h4>
<p>This is an opportunity to help shape the future of AI-powered public services in Abu Dhabi.</p>
<p>You’ll work on meaningful products with real-world impact, solving complex challenges in applied AI, product engineering, and large-scale deployment.</p></p><p></p>
<p>Description
About the Opportunity
We are hiring on behalf of a leading government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious AI programs.
This organisation is creating the infrastructure, platforms, and products that will enable government entities to operate as AI-native institutions. The work spans sovereign AI infrastructure, event-driven systems, and production-grade applications that support critical public services.
This is an opportunity to work on highly impactful systems where reliability, scalability, and security are essential.
Role Overview
We are looking for a Senior Backend Engineer to design, build, and operate the backend platform that powers advanced AI and data products.
You will own core services, APIs, event pipelines, and data infrastructure that support production systems at scale. This role is backend-focused and requires deep expertise in distributed systems, cloud infrastructure, Kubernetes, and database reliability.
While you do not need to be an AI specialist, you should be comfortable building the platform foundations that modern AI applications depend on.
At the senior level, you will:
Architect and own major backend subsystems end-to-end
Lead reliability and operational excellence initiatives
Mentor other engineers and contribute to technical standards
Collaborate with senior technical leadership to shape platform direction
Use AI coding tools such as Codex, Claude Code, or similar in your daily workflow
Key Responsibilities
Backend Services & Event-Driven Architecture
Design, build, and operate scalable backend services and APIs
Develop event-driven systems using Kafka, Azure Service Bus, or Azure Event Hubs
Build data pipelines, ETL processes, and shared platform abstractions
Manage PostgreSQL, caching, and object storage infrastructure
Cloud Infrastructure & Reliability
Deploy and operate containerized services on Kubernetes
Build CI/CD pipelines and infrastructure-as-code using Terraform
Manage cloud infrastructure on Azure
Define and monitor SLOs, metrics, logging, tracing, and alerting
Lead incident response, root-cause analysis, and postmortems
Security, Standards & Mentorship
Implement secure engineering practices and compliance requirements
Contribute to IAM, secrets management, network policy, and zero-trust architecture
Mentor engineers through design reviews and code reviews
Basic Qualifications
7+ years of backend or platform engineering experience
Strong expertise in distributed systems and event-driven architecture
Proficiency in Python, Java/Kotlin, or Go
Hands-on experience with Azure (AWS or GCP experience also valued)
Production experience with Docker and Kubernetes
Strong knowledge of PostgreSQL at scale
Experience with observability, SLOs, and incident response
Practical use of AI coding assistants such as Codex or Claude Code
Excellent written and verbal communication skills
Preferred Qualifications
Experience building internal developer platforms and shared tooling
Service mesh experience (Istio, Linkerd)
Familiarity with CQRS, event sourcing, sagas, and outbox patterns
Experience with Redis, Elasticsearch, or OpenSearch
Exposure to AI infrastructure such as retrieval pipelines and model serving
Security experience in regulated environments
Experience working in government, defense, financial services, or similar sectors
Technology Stack
Languages: Python, Java, Kotlin, Go
APIs: REST, gRPC, WebSockets, SSE
Event Streaming: Kafka, Azure Service Bus, Azure Event Hubs
Data: PostgreSQL, Redis, DocumentDB, Azure Blob Storage
Infrastructure: Azure, Docker, Kubernetes, Terraform
Observability: Prometheus, Grafana, OpenTelemetry
Security: Entra ID, RBAC, Secrets Management, Zero Trust
AI Development: Codex, Claude Code, OpenCode
What We’re Looking For
You are an engineer who:
Takes full ownership from design to production operations
Builds reliable, scalable systems with strong operational discipline
Makes evidence-based technical decisions
Mentors others and raises the engineering bar
Communicates clearly and proactively
Embraces AI-native engineering practices
Why Apply?
This role offers the opportunity to work on highly consequential systems that will shape the future of AI-powered public services.
You’ll join a world-class engineering environment tackling complex challenges in backend infrastructure, distributed systems, and cloud architecture—while delivering meaningful impact at a national scale.</p><p></p>
<p>Description
About the Opportunity
We are hiring on behalf of a leading government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious AI programs.
This organisation is creating the infrastructure, platforms, and products that will enable government entities to operate as AI-native institutions. The work spans sovereign AI infrastructure, event-driven systems, and production-grade applications that support critical public services.
This is an opportunity to work on highly impactful systems where reliability, scalability, and security are essential.
Role Overview
We are looking for a Senior Backend Engineer to design, build, and operate the backend platform that powers advanced AI and data products.
You will own core services, APIs, event pipelines, and data infrastructure that support production systems at scale. This role is backend-focused and requires deep expertise in distributed systems, cloud infrastructure, Kubernetes, and database reliability.
While you do not need to be an AI specialist, you should be comfortable building the platform foundations that modern AI applications depend on.
At the senior level, you will:
Architect and own major backend subsystems end-to-end
Lead reliability and operational excellence initiatives
Mentor other engineers and contribute to technical standards
Collaborate with senior technical leadership to shape platform direction
Use AI coding tools such as Codex, Claude Code, or similar in your daily workflow
Key Responsibilities
Backend Services & Event-Driven Architecture
Design, build, and operate scalable backend services and APIs
Develop event-driven systems using Kafka, Azure Service Bus, or Azure Event Hubs
Build data pipelines, ETL processes, and shared platform abstractions
Manage PostgreSQL, caching, and object storage infrastructure
Cloud Infrastructure & Reliability
Deploy and operate containerized services on Kubernetes
Build CI/CD pipelines and infrastructure-as-code using Terraform
Manage cloud infrastructure on Azure
Define and monitor SLOs, metrics, logging, tracing, and alerting
Lead incident response, root-cause analysis, and postmortems
Security, Standards & Mentorship
Implement secure engineering practices and compliance requirements
Contribute to IAM, secrets management, network policy, and zero-trust architecture
Mentor engineers through design reviews and code reviews
Basic Qualifications
7+ years of backend or platform engineering experience
Strong expertise in distributed systems and event-driven architecture
Proficiency in Python, Java/Kotlin, or Go
Hands-on experience with Azure (AWS or GCP experience also valued)
Production experience with Docker and Kubernetes
Strong knowledge of PostgreSQL at scale
Experience with observability, SLOs, and incident response
Practical use of AI coding assistants such as Codex or Claude Code
Excellent written and verbal communication skills
Preferred Qualifications
Experience building internal developer platforms and shared tooling
Service mesh experience (Istio, Linkerd)
Familiarity with CQRS, event sourcing, sagas, and outbox patterns
Experience with Redis, Elasticsearch, or OpenSearch
Exposure to AI infrastructure such as retrieval pipelines and model serving
Security experience in regulated environments
Experience working in government, defense, financial services, or similar sectors
Technology Stack
Languages: Python, Java, Kotlin, Go
APIs: REST, gRPC, WebSockets, SSE
Event Streaming: Kafka, Azure Service Bus, Azure Event Hubs
Data: PostgreSQL, Redis, DocumentDB, Azure Blob Storage
Infrastructure: Azure, Docker, Kubernetes, Terraform
Observability: Prometheus, Grafana, OpenTelemetry
Security: Entra ID, RBAC, Secrets Management, Zero Trust
AI Development: Codex, Claude Code, OpenCode
What We’re Looking For
You are an engineer who:
Takes full ownership from design to production operations
Builds reliable, scalable systems with strong operational discipline
Makes evidence-based technical decisions
Mentors others and raises the engineering bar
Communicates clearly and proactively
Embraces AI-native engineering practices
Why Apply?
This role offers the opportunity to work on highly consequential systems that will shape the future of AI-powered public services.
You’ll join a world-class engineering environment tackling complex challenges in backend infrastructure, distributed systems, and cloud architecture—while delivering meaningful impact at a national scale.</p><p></p>
<p>A reputable firm located in Amman, representing multinational companies with a focus on power and industrial supplies, with extensive experience in this field, has a vacancy for "Mechanical and/or Electrical Engineer" to manage tender preparation, coordinate with suppliers, and support commercial and technical bidding activities.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Mechanical or Electrical Engineering from a reputable University.</li><li>(5-7) years of relevant experience in tenders.</li><li>Strong knowledge of tender preparation and documentation.</li><li>Energetic, hardworking, and has a real interest in both office and field work</li><li>Excellent communication skills in both Arabic and English.</li><li>Excellent computer skills.</li><li>Has a Jordanian driving license.</li><li>Resident of Amman</li></ul>
<p><h4>Description</h4>
<p>The forward deployed AI engineer will work directly with clients and senior engineers to build AI-powered systems inside real enterprise environments. This role is ideal for a strong junior engineer who wants to work on practical AI systems, enterprise data, agents, retrieval, workflow automation, and context graphs. You will help connect to client systems, process messy real-world data, build prototypes, and turn business problems into working software.</p>
<p>The work is hands-on and client-facing:</p>
<ul>
<li>Understand operational workflows and convert them into technical artifacts.</li>
<li>Connect to real enterprise systems and data sources.</li>
<li>Build context-aware AI agents, retrieval systems, and automation prototypes.</li>
<li>Help move the best prototypes toward reliable production deployments.</li>
</ul>
<h4>Requirements</h4>
<p>Build context graphs. Help ingest, clean, structure, and connect data from enterprise systems into context graphs. This may include structured databases, PDFs, spreadsheets, tickets, CRM data, analytics events, Slack or Teams exports, meeting transcripts, operational workflows, and other internal knowledge sources.</p>
<p>Develop AI and agentic workflows. Build AI pipelines and agent-based systems that can reason over enterprise context, identify patterns, surface workflow gaps, and suggest or trigger automations. This may involve LLMs, retrieval systems, structured extraction, tool use, LangGraph-style workflows, and agent harnesses.</p>
<p>Connect to enterprise systems. Integrate with client infrastructure such as databases, APIs, cloud storage, document repositories, analytics tools, ticketing systems, and internal applications.</p>
<p>Prototype automation opportunities. Rapidly build proof-of-concepts that show how AI can improve a client's operations – for example, process documentation, workflow discovery, incident management, document extraction, customer journey analysis, or operational decision support.</p>
<p>Turn messy business problems into software. Work with senior engineers and business stakeholders to translate ambiguous operational problems into technical designs, data models, prompts, pipelines, and deployed applications.</p>
<p>Support production deployments. Help build reliable, maintainable systems that can run in production environments, including client cloud environments when needed.</p>
<h4>Ideal candidate</h4>
<p>We are looking for a strong junior software engineer who is excited about applied AI and wants to build real systems, not just experiments.</p>
<p>You do not need to be an expert in every area below, but you should be curious, technical, and comfortable learning quickly.</p>
<h4>Technical background</h4>
<ul>
<li>Strong Python fundamentals.</li>
<li>Basic backend development experience.</li>
<li>Familiarity with APIs, databases, and cloud services.</li>
<li>Interest in LLMs, agents, retrieval, structured outputs, and tool-calling.</li>
<li>Familiarity with data pipelines and messy real-world datasets.</li>
<li>Experience with FastAPI, LangChain, LangGraph, vector databases, document processing, or knowledge graphs is a plus.</li>
<li>AWS experience is a plus.</li>
<li>Experience with enterprise data, analytics, or workflow automation is a strong plus.</li>
</ul>
<h4>What makes someone successful in this role</h4>
<ul>
<li>You like figuring out how businesses actually operate.</li>
<li>You are comfortable working with incomplete, messy, or poorly documented data.</li>
<li>You can move quickly from vague requirements to a working prototype.</li>
<li>You care about building useful systems, not just impressive demos.</li>
<li>You communicate clearly with both engineers and non-technical stakeholders.</li>
<li>You are curious about how AI agents can interact with real tools, data, and workflows.</li>
<li>You want to learn how to deploy AI into real enterprise environments.</li>
</ul>
<h4>Why this role is interesting</h4>
<p>You will work on the frontier of practical enterprise AI: connecting AI agents to real company context and using that context to discover and automate high-value workflows.</p>
<p>This is a hands-on engineering role for someone who wants to grow into building production-grade AI systems across data, agents, infrastructure, and enterprise software.</p></p><p></p>
<p><h4>Description</h4>
<p>The forward deployed AI engineer will work directly with clients and senior engineers to build AI-powered systems inside real enterprise environments. This role is ideal for a strong junior engineer who wants to work on practical AI systems, enterprise data, agents, retrieval, workflow automation, and context graphs. You will help connect to client systems, process messy real-world data, build prototypes, and turn business problems into working software.</p>
<p>The work is hands-on and client-facing:</p>
<ul>
<li>Understand operational workflows and convert them into technical artifacts.</li>
<li>Connect to real enterprise systems and data sources.</li>
<li>Build context-aware AI agents, retrieval systems, and automation prototypes.</li>
<li>Help move the best prototypes toward reliable production deployments.</li>
</ul>
<h4>Requirements</h4>
<p>Build context graphs. Help ingest, clean, structure, and connect data from enterprise systems into context graphs. This may include structured databases, PDFs, spreadsheets, tickets, CRM data, analytics events, Slack or Teams exports, meeting transcripts, operational workflows, and other internal knowledge sources.</p>
<p>Develop AI and agentic workflows. Build AI pipelines and agent-based systems that can reason over enterprise context, identify patterns, surface workflow gaps, and suggest or trigger automations. This may involve LLMs, retrieval systems, structured extraction, tool use, LangGraph-style workflows, and agent harnesses.</p>
<p>Connect to enterprise systems. Integrate with client infrastructure such as databases, APIs, cloud storage, document repositories, analytics tools, ticketing systems, and internal applications.</p>
<p>Prototype automation opportunities. Rapidly build proof-of-concepts that show how AI can improve a client's operations – for example, process documentation, workflow discovery, incident management, document extraction, customer journey analysis, or operational decision support.</p>
<p>Turn messy business problems into software. Work with senior engineers and business stakeholders to translate ambiguous operational problems into technical designs, data models, prompts, pipelines, and deployed applications.</p>
<p>Support production deployments. Help build reliable, maintainable systems that can run in production environments, including client cloud environments when needed.</p>
<h4>Ideal candidate</h4>
<p>We are looking for a strong junior software engineer who is excited about applied AI and wants to build real systems, not just experiments.</p>
<p>You do not need to be an expert in every area below, but you should be curious, technical, and comfortable learning quickly.</p>
<h4>Technical background</h4>
<ul>
<li>Strong Python fundamentals.</li>
<li>Basic backend development experience.</li>
<li>Familiarity with APIs, databases, and cloud services.</li>
<li>Interest in LLMs, agents, retrieval, structured outputs, and tool-calling.</li>
<li>Familiarity with data pipelines and messy real-world datasets.</li>
<li>Experience with FastAPI, LangChain, LangGraph, vector databases, document processing, or knowledge graphs is a plus.</li>
<li>AWS experience is a plus.</li>
<li>Experience with enterprise data, analytics, or workflow automation is a strong plus.</li>
</ul>
<h4>What makes someone successful in this role</h4>
<ul>
<li>You like figuring out how businesses actually operate.</li>
<li>You are comfortable working with incomplete, messy, or poorly documented data.</li>
<li>You can move quickly from vague requirements to a working prototype.</li>
<li>You care about building useful systems, not just impressive demos.</li>
<li>You communicate clearly with both engineers and non-technical stakeholders.</li>
<li>You are curious about how AI agents can interact with real tools, data, and workflows.</li>
<li>You want to learn how to deploy AI into real enterprise environments.</li>
</ul>
<h4>Why this role is interesting</h4>
<p>You will work on the frontier of practical enterprise AI: connecting AI agents to real company context and using that context to discover and automate high-value workflows.</p>
<p>This is a hands-on engineering role for someone who wants to grow into building production-grade AI systems across data, agents, infrastructure, and enterprise software.</p></p><p></p>
<p>PIPECARE Group is looking for an experienced Mechanical Engineer to join our team . By providing technology and service focused solutions to the international arena of the oil and gas industry, the PipeCare Group of companies has been helping our customers ensure the integrity of their pipeline and facility assets for over 25 years. Industry/sector: Oil & Gas / In Line Inspection services.</p><p>Mechanical Engineer is responsible for performing comprehensive Fitness-for-Service assessment studies on client s pipelines using API 579 and other international standards.</p><p>Key Responsibilities & Authorities</p><ul><li>Perform FFP evaluations of clients assets based on Level 1 & 2 assessments of damage mechanisms.</li><li>Performing RSTRENG calculations per clients requirements.</li><li>Perform Abaqus simulation models for corroded components.</li><li>Integrate inspection data into Abaqus simulation and perform analysis for degraded components.</li><li>Evaluate repair options and make recommendations to clients.</li></ul><p>Team leadership and collaboration</p><ul><li>Develop training material related to Pipeline Integrity.</li><li>Lead, mentor, and train a team of Integrity Engineers within the corporation, ensuring their skills are up-to-date and that they are consistently applying high-quality standards.</li><li>Act as the primary subject matter expert (SME) on Integrity Engineering during internal and external audits.</li><li>Liaise with clients, project managers, and integrity engineers to understand project requirements and provide data-driven insights to support decision-making.</li><li>Communicate complex findings and data-driven narratives to senior management and other non-technical stakeholders.</li></ul><p>Skills/Experience</p><ul><li>Minimum of Bachelor s Degree in Mechanical Engineering.</li><li>3-5 years experience in Oil and Gas industry.</li><li>Experience in API 579, ASME codes, Abaqus.</li><li>Strong professional command of written and spoken English in addition to communication skills is a must.</li></ul><p>Physical and Mental Requirements:</p><ul><li>Lifting and Carrying: Ability to lift and carry up to 50 pounds.</li><li>Mobility: Must be able to walk and climb to perform duties, including maneuvering within a refinery or plant environment and accessing elevated platforms via ladders and stairwells.</li><li>Communication: Sufficient clarity of speech and hearing, or other communication capabilities, to communicate effectively.</li><li>Focus and Multitasking: Ability to maintain focus and multitask effectively.</li><li>Safety Equipment: Must be able to wear safety equipment as required by the safety department for personal protection, if/where needed in manufacturing environments.</li><li>Personal Mobility and Reflexes: Sufficient personal mobility and physical reflexes, with or without reasonable accommodations, to perform office duties and travel to off-site locations when necessary.</li></ul><p>About PIPECARE Group:</p><p>PIPECARE Group offers comprehensive In-Line Inspection Services to identify and size pipeline threats, Utilizing advanced technologies such as Magnetic Flux Leakage, Transverse Field Inspection, Ultrasound, and specialized tools, PIPECARE ensures precise detection and assessment of various pipeline anomalies.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>Minimum of Bachelor s Degree in Mechanical Engineering.</li><li>3-5 years experience in Oil and Gas industry.</li><li>Experience in API 579, ASME codes, Abaqus.</li><li>Strong professional command of written and spoken English in addition to communication skills is a must.</li></ul><p>Physical and Mental Requirements:</p><ul><li>Lifting and Carrying: Ability to lift and carry up to 50 pounds.</li><li>Mobility: Must be able to walk and climb to perform duties, including maneuvering within a refinery or plant environment and accessing elevated platforms via ladders and stairwells.</li><li>Communication: Sufficient clarity of speech and hearing, or other communication capabilities, to communicate effectively.</li><li>Focus and Multitasking: Ability to maintain focus and multitask effectively.</li><li>Safety Equipment: Must be able to wear safety equipment as required by the safety department for personal protection, if/where needed in manufacturing environments.</li><li>Personal Mobility and Reflexes: Sufficient personal mobility and physical reflexes, with or without reasonable accommodations, to perform office duties and travel to off-site locations when necessary.</li></ul>
<p><h4>About Lucidya</h4>
<p>Lucidya is an AI-native platform for customer experience (CX) intelligence that manages entire customer lifecycles autonomously, from initial engagement through retention and growth.</p>
<p>Unlike platforms that only surface insights and leave the action to you, Lucidya completes the loop with proprietary NLU capabilities developed entirely in-house and trained on millions of multilingual conversations, equipping marketing, support, CX, and research teams to deliver personalized experiences that drive measurable improvements in customer satisfaction, retention, and lifetime value.</p>
<h4>Why this role matters</h4>
<p>At Lucidya, we are building products that help some of the region's most recognizable brands understand and engage with their customers at scale. As our platform grows, so does the complexity of the problems we solve.</p>
<p>Great product ideas are easy. Turning them into products that customers actually use, engineers can confidently build, and the business can successfully launch is much harder.</p>
<p>That's where this role comes in.</p>
<p>As a Product Owner, you'll sit at the center of product delivery. You'll be responsible for turning customer problems, product strategy, and business priorities into clear, actionable work that engineering and design teams can execute with confidence.</p>
<p>Your impact won't be measured by how many Jira tickets you create. It will be measured by how effectively you help the team build the right things, reduce delivery friction, avoid costly rework, and deliver meaningful value to customers faster.</p>
<p>You'll work closely with Product Managers, Designers, Engineers, QA, and customer-facing teams to ensure everyone understands the problem we're solving, why it matters, and what success looks like.</p>
<p>If you enjoy bringing structure to ambiguity, asking great questions, and helping teams move faster without sacrificing quality, you'll thrive here.</p>
<h4>What you'll do</h4>
<li>Create clarity where others see complexity</li>
<p>You'll take customer feedback, business requests, product strategy, and technical requirements and transform them into clear user stories, acceptance criteria, workflows, and requirements that teams can confidently build from.</p>
<li>Own squad readiness</li>
<p>You'll make sure backlog items are ready before they enter development. Engineers shouldn't be discovering major requirements halfway through a sprint. You'll ensure the team has the context, detail, and alignment needed to deliver predictably.</p>
<li>Help the team build the right things</li>
<p>You'll partner closely with Product Managers to break large initiatives into smaller, valuable releases that allow us to learn quickly and deliver customer value faster.</p>
<li>Drive productive collaboration</li>
<p>You'll act as the bridge between product, design, engineering, QA, and customer-facing teams, ensuring everyone is aligned on priorities, scope, dependencies, and expected outcomes.</p>
<li>Challenge unclear thinking</li>
<p>When requirements are vague, assumptions are risky, or priorities don't make sense, you'll ask the hard questions. Respectfully, but confidently.</p>
<li>Reduce delivery friction</li>
<p>You'll identify risks, dependencies, and gaps before they become problems. Your goal is to help the team spend less time clarifying work and more time delivering value.</p>
<li>Protect quality and customer experience</li>
<p>You'll think beyond the happy path by considering edge cases, permissions, error handling, workflows, and usability before features reach customers.</p>
<li>Support successful launches</li>
<p>You'll help ensure internal teams understand what is being released, how it works, and what customers should expect through clear release notes, documentation, and enablement materials.</p>
<h4>Requirements</h4>
<h4>Who you are</h4>
<li>You bring structure without creating bureaucracy</li>
<p>You love organization, but you know process should help teams move faster, not slow them down.</p>
<li>You care about outcomes, not ticket completion</li>
<p>Closing a story isn't success. Solving a customer problem is.</p>
<li>You ask great questions</li>
<p>You naturally challenge assumptions, uncover hidden requirements, and identify risks before they become expensive mistakes.</p>
<li>You communicate clearly</li>
<p>You can explain a complex technical requirement to a designer, a customer problem to an engineer, and a product decision to a stakeholder without creating confusion.</p>
<li>You thrive in cross-functional environments</li>
<p>You enjoy working closely with engineers, designers, QA, Product Managers, and customer-facing teams to solve problems collaboratively.</p>
<li>You have strong product delivery experience</li>
<p>You have at least 3 years of experience as a Product Owner, Business Analyst, Associate Product Manager, or a similar role where you've owned requirements, backlog management, and delivery readiness.</p>
<li>You're comfortable with technical concepts</li>
<p>You don't need to write code, but you're comfortable discussing APIs, integrations, data models, permissions, workflows, and platform behavior with engineering teams.</p>
<li>You're comfortable with ambiguity</li>
<p>You won't always receive perfect requirements or complete information. You're able to create clarity and move things forward without waiting for every answer.</p>
<p>You'll likely stand out if you have experience with:</p>
<li>B2B SaaS products</li>
<li>Customer experience (CX) platforms</li>
<li>Social listening or customer engagement tools</li>
<li>CRM, CDP, analytics, or workflow products</li>
<li>AI-powered products and automation</li>
<li>Arabic-first or MENA-focused products</li>
<li>Product analytics and adoption metrics</li>
<h4>What success looks like</h4>
<p>Within your first few months:</p>
<li>Backlog items enter development with significantly fewer unanswered questions.</li>
<li>Sprint planning becomes more predictable because work is properly prepared and understood.</li>
<li>Engineers spend less time seeking clarification and more time building.</li>
<li>Rework decreases because requirements, edge cases, and acceptance criteria are defined upfront.</li>
<li>Stakeholders trust delivery updates because expectations, trade-offs, and risks are communicated clearly.</li>
<li>Product releases are smoother because internal teams are prepared and aligned.</li>
<li>Most importantly, customers receive better products because the team consistently understands the problem before building the solution.</li>
<h4>What the hiring process will look like</h4>
<li>Intro call with TA</li>
<li>Interview with HM</li>
<li>Case study</li>
<li>Presentation interview</li>
<li>Culture fit / offer</li>
<p>At Lucidya, we care deeply about ownership, curiosity, speed, and continuous improvement. We look for people who challenge ideas respectfully, communicate openly, and genuinely care about building products that solve real customer problems.</p>
<p>If that sounds like the environment where you do your best work, we'd love to meet you.</p></p><p></p>
<p><br></p><p>As a Multi-disciplinary design Engineer, you will play a pivotal role in the detailed design of multi-disciplinary infrastructure works. Your responsibilities will include developing coordinated design deliverables across electrical, mechanical, instrumentation, and control systems for industrial projects. The role focuses on producing accurate, constructible, and fully coordinated designs, drawings and layouts in close collaboration with lead design engineers and other disciplines.</p><p>Project Context : Haskoning is engaged in multiple projects at the Arab Potash Corporation (APC), which involves critical infrastructure works in the Dead Sea Area. The design Engineer will be supporting the design team, coordinating with other disciplines, and ensuring consistency across all project phases.</p><p>Key Responsibilities</p><ul><li>Prepare multidisciplinary design deliverables in accordance with project specifications, applicable codes, and standards</li><li>Coordinate layouts and interfaces between electrical, mechanical, civil, structural, and process disciplines</li><li>Support constructability, safety, and maintainability through design</li><li>Ensure drawing quality, consistency, and adherence to project CAD/BIM standards</li><li>Participate in design reviews, model reviews, and coordination meetings</li></ul><p>Specific discipline requirements</p><p>Electrical Design</p><ul><li>Develop layouts for LV/MV systems, including:</li><li>Power distribution</li><li>MCCs, switchgear, transformers</li><li>Cable routing and containment (trays, ladders, conduits)</li><li>Earthing and lightning protection systems</li><li>Prepare single-line diagrams, load layouts, and equipment arrangement drawings</li><li>Coordinate electrical room layouts and access/clearance requirements</li></ul><p>Mechanical Design</p><ul><li>Prepare layouts for mechanical equipment such as:</li><li>Pumps, motors, compressors, valves</li><li>Skids, pipework, supports, and access platforms</li><li>Develop general arrangement (GA) drawings and mechanical layouts</li><li>Coordinate mechanical interfaces with electrical and instrumentation systems</li><li>Incorporate installation, maintenance, and lifting requirements into designs</li></ul><p>Instrumentation & Control Design</p><ul><li>Develop instrumentation layouts, including:</li><li>Field instruments, panels, and junction boxes</li><li>Instrument tubing and impulse lines</li><li>Analyzer shelters and instrument air systems</li><li>Prepare cable and tubing routing layouts</li><li>Assist with I/O layouts, control panel arrangements, and interface diagrams</li><li>Coordinate with control systems engineers for PLC/SCADA-related layouts</li></ul><p>Coordination & Documentation</p><ul><li>Ensure clash-free and coordinated designs across all EMI&C discipline</li><li>Support preparation of:</li><li>Layout drawings</li><li>Section details</li><li>Typical installation details</li><li>Incorporate comments from engineering reviews, HAZOPs, and constructability reviews</li><li>Assist in preparation of as-built drawings</li></ul><p><br></p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in Electrical, Mechanical, Instrumentation Engineering, or related technical discipline, Master degree is preferred</p><p>Minimum 10 years of experience in industrial or infrastructure projects</p><p>Proven experience working on multidisciplinary EMI&C designs</p><p>Experience in EPC or consultant environments is an advantage</p><p>Attention to detail and ability to manage multiple tasks</p><p>Excellent skills with MS Office suite</p><p>Good communication skills and a collaborative approach to working with multidisciplinary and cultural teams</p><p>Professionally skilled in english</p><p>Familiarity with international standards (e.g., BS, DIN, ASTM, IEEE, IEC, API, ISO)</p><p>Start Date: as soon as possible</p><p>Location Requirement: You must be currently based in Jordan or the surrounding Dead Sea region. Due to project requirements, candidates must be available to work on-site and align with the local working schedule and time zone.</p>
<p><h4>Description</h4>
<p>The Senior Presales Engineer – Networking & Security is responsible for designing, positioning, and supporting enterprise networking and security solutions for customers across the region. The role acts as a trusted technical advisor throughout the sales lifecycle, supporting opportunity qualification, solution design, technical presentations, and customer engagement activities.</p>
<p>Working closely with sales, security, and delivery teams, the engineer develops scalable, secure, and high-performance infrastructure solutions aligned with customer business and technical requirements. The role also contributes to strategic solution positioning, technical leadership, and the continuous enhancement of ZainTECH’s networking and security capabilities.</p>
<h4>Responsibilities</h4>
<p><strong>Solutions architecture & presales support</strong></p>
<ul>
<li>Design enterprise networking and security solutions aligned with customer requirements and business objectives</li>
<li>Develop:
<ul>
<li>High-level designs (HLD)</li>
<li>Low-level designs (LLD)</li>
<li>Technical proposals</li>
<li>Bill of quantities (BOQs)</li>
<li>RFP/RFI responses</li>
</ul>
</li>
<li>Design architectures covering:
<ul>
<li>LAN/WAN infrastructure</li>
<li>Enterprise wireless solutions</li>
<li>SD-WAN</li>
<li>Network security integrations</li>
</ul>
</li>
<li>Support strategic opportunities and complex solution positioning activities</li>
</ul>
<p><strong>Technical advisory & solution positioning</strong></p>
<ul>
<li>Act as a subject matter expert (SME) in networking and security technologies</li>
<li>Conduct customer workshops, technical presentations, demonstrations, and architecture discussions</li>
<li>Lead proof of concepts (PoCs), technical validations, and solution assessments</li>
<li>Perform competitive positioning and vendor comparison activities</li>
<li>Stay updated on emerging technologies, vendor roadmaps, and industry trends</li>
</ul>
<p><strong>Customer engagement & relationship management</strong></p>
<ul>
<li>Engage with enterprise and government customers to understand business and technical requirements</li>
<li>Translate customer challenges into scalable and secure technical solutions</li>
<li>Support account teams in developing long-term customer relationships</li>
<li>Contribute to account planning and solution strategy initiatives</li>
</ul>
<p><strong>Cross-functional collaboration</strong></p>
<ul>
<li>Collaborate closely with sales, security, and delivery teams to ensure successful solution alignment and execution</li>
<li>Support onboarding and technical handover activities to delivery and implementation teams</li>
<li>Participate in customer success and post-sales support initiatives where required</li>
</ul>
<p><strong>Governance, security & best practices</strong></p>
<ul>
<li>Ensure proposed solutions align with customer standards, security requirements, and industry best practices</li>
<li>Recommend improvements to network availability, scalability, and security posture</li>
<li>Support the implementation of secure networking and segmentation practices</li>
<li>Maintain accurate technical documentation and solution records</li>
</ul>
<p><strong>Technical leadership & knowledge sharing</strong></p>
<ul>
<li>Mentor junior and mid-level engineers across networking and security technologies</li>
<li>Lead internal technical knowledge-sharing and enablement sessions</li>
<li>Support technical capability development and certification initiatives within the team</li>
</ul>
<p><strong>Project & procurement support</strong></p>
<ul>
<li>Support project planning, technical reviews, and implementation readiness activities</li>
<li>Assist procurement and commercial teams with product selection and technical validation</li>
<li>Ensure proposed solutions are scalable, compatible, and aligned with customer environments</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Bachelor’s degree in Computer Engineering, Network Engineering, Information Technology, or a related field</li>
<li>6–10 years of experience in networking, presales, or system integration environments</li>
<li>Strong expertise in:
<ul>
<li>Routing & switching</li>
<li>Enterprise wireless</li>
<li>SD-WAN</li>
<li>Network infrastructure design</li>
<li>Network security solutions</li>
</ul>
</li>
<li>Hands-on experience with:
<ul>
<li>Cisco networking technologies</li>
<li>Fortinet security solutions</li>
</ul>
</li>
<li>Strong understanding of enterprise and hybrid network architectures</li>
<li>Experience designing secure, scalable, and high-availability networking environments</li>
<li>Experience supporting enterprise or government sector projects is preferred</li>
<li>Strong customer-facing and solution positioning experience</li>
<li>Certifications: Cisco (CCNA / CCNP), Fortinet (NSE 4 or equivalent)</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>The Senior Presales Engineer – Networking & Security is responsible for designing, positioning, and supporting enterprise networking and security solutions for customers across the region. The role acts as a trusted technical advisor throughout the sales lifecycle, supporting opportunity qualification, solution design, technical presentations, and customer engagement activities.</p>
<p>Working closely with sales, security, and delivery teams, the engineer develops scalable, secure, and high-performance infrastructure solutions aligned with customer business and technical requirements. The role also contributes to strategic solution positioning, technical leadership, and the continuous enhancement of ZainTECH’s networking and security capabilities.</p>
<h4>Responsibilities</h4>
<p><strong>Solutions architecture & presales support</strong></p>
<ul>
<li>Design enterprise networking and security solutions aligned with customer requirements and business objectives</li>
<li>Develop:
<ul>
<li>High-level designs (HLD)</li>
<li>Low-level designs (LLD)</li>
<li>Technical proposals</li>
<li>Bill of quantities (BOQs)</li>
<li>RFP/RFI responses</li>
</ul>
</li>
<li>Design architectures covering:
<ul>
<li>LAN/WAN infrastructure</li>
<li>Enterprise wireless solutions</li>
<li>SD-WAN</li>
<li>Network security integrations</li>
</ul>
</li>
<li>Support strategic opportunities and complex solution positioning activities</li>
</ul>
<p><strong>Technical advisory & solution positioning</strong></p>
<ul>
<li>Act as a subject matter expert (SME) in networking and security technologies</li>
<li>Conduct customer workshops, technical presentations, demonstrations, and architecture discussions</li>
<li>Lead proof of concepts (PoCs), technical validations, and solution assessments</li>
<li>Perform competitive positioning and vendor comparison activities</li>
<li>Stay updated on emerging technologies, vendor roadmaps, and industry trends</li>
</ul>
<p><strong>Customer engagement & relationship management</strong></p>
<ul>
<li>Engage with enterprise and government customers to understand business and technical requirements</li>
<li>Translate customer challenges into scalable and secure technical solutions</li>
<li>Support account teams in developing long-term customer relationships</li>
<li>Contribute to account planning and solution strategy initiatives</li>
</ul>
<p><strong>Cross-functional collaboration</strong></p>
<ul>
<li>Collaborate closely with sales, security, and delivery teams to ensure successful solution alignment and execution</li>
<li>Support onboarding and technical handover activities to delivery and implementation teams</li>
<li>Participate in customer success and post-sales support initiatives where required</li>
</ul>
<p><strong>Governance, security & best practices</strong></p>
<ul>
<li>Ensure proposed solutions align with customer standards, security requirements, and industry best practices</li>
<li>Recommend improvements to network availability, scalability, and security posture</li>
<li>Support the implementation of secure networking and segmentation practices</li>
<li>Maintain accurate technical documentation and solution records</li>
</ul>
<p><strong>Technical leadership & knowledge sharing</strong></p>
<ul>
<li>Mentor junior and mid-level engineers across networking and security technologies</li>
<li>Lead internal technical knowledge-sharing and enablement sessions</li>
<li>Support technical capability development and certification initiatives within the team</li>
</ul>
<p><strong>Project & procurement support</strong></p>
<ul>
<li>Support project planning, technical reviews, and implementation readiness activities</li>
<li>Assist procurement and commercial teams with product selection and technical validation</li>
<li>Ensure proposed solutions are scalable, compatible, and aligned with customer environments</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Bachelor’s degree in Computer Engineering, Network Engineering, Information Technology, or a related field</li>
<li>6–10 years of experience in networking, presales, or system integration environments</li>
<li>Strong expertise in:
<ul>
<li>Routing & switching</li>
<li>Enterprise wireless</li>
<li>SD-WAN</li>
<li>Network infrastructure design</li>
<li>Network security solutions</li>
</ul>
</li>
<li>Hands-on experience with:
<ul>
<li>Cisco networking technologies</li>
<li>Fortinet security solutions</li>
</ul>
</li>
<li>Strong understanding of enterprise and hybrid network architectures</li>
<li>Experience designing secure, scalable, and high-availability networking environments</li>
<li>Experience supporting enterprise or government sector projects is preferred</li>
<li>Strong customer-facing and solution positioning experience</li>
<li>Certifications: Cisco (CCNA / CCNP), Fortinet (NSE 4 or equivalent)</li>
</ul></p><p></p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span><br>POSITION SUMMARY<br>Check figures, postings, and documents for correct entry, mathematical accuracy, and proper codes. Organize, secure, and maintain all files, records, cash and cash equivalents in accordance with policies and procedures. Record, store, access, and/or analyze computerized financial information. Classify, code, and summarize numerical and financial data to compile and keep financial records, using journals, ledgers, and/or computers. Complete period-end closing procedures and reports as specified. Audit cashier banks periodically according to SOPs. Maintain, distribute, and record petty cash, cashier banks, and contracts. Document, maintain, communicate, and act upon all Cash Variances according to SOPs. Act as liaison between property and armored car service or primary banking institution. Participate in internal, external, and regulatory audit processes and ensure compliance with SOPs.<br>Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets; protect the privacy and security of guests and coworkers. Speak with others using clear and professional language; prepare and review written documents accurately and completely; answer telephones using appropriate etiquette; ensure that coworkers understand their tasks. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Move, lift, carry, push, pull, and place objects weighing less than or equal to 10 pounds without assistance. Perform other reasonable job duties as requested by Supervisors.<br>PREFERRED QUALIFICATIONS<br>Education: High school diploma or G.E.D. equivalent.<br>Related Work Experience: At least 1 year of related work experience.<br>Supervisory Experience: No supervisory experience.<br>License or Certification: None<br>At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law.<br>Combining timeless glamour with a vanguard spirit, St. Regis Hotels & Resorts is committed to delivering exquisite experiences at more than 50 luxury hotels and resorts in the best addresses around the world. Beginning with the debut of The St. Regis hotel in New York by John Jacob Astor IV at the dawn of the twentieth century, the brand has remained committed to an uncompromising level of bespoke and anticipatory service for all of its guests, delivered flawlessly by a team of gracious hosts that combine classic sophistication and modern sensibility, as well as our signature Butler Service. We invite you to explore careers at St. Regis. In joining St. Regis, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.</span> </div>