Embedded Systems Engineer Jobs in Jordan

<p> <b>Job Description:</b> </p> <p> </p> <p>We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what s possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what s next to power infinite possibilities for our customers, colleagues and society at large.</p> <p> </p> <p> <b>About the Role:</b> </p> <p> </p> <div> <p>Wiley is seeking a talented <b>Software Engineer</b> to join our innovative <b>Search Team</b>. In this role, you will help design, build, and maintain the backend search systems that power millions of user interactions globally.</p> <p> </p> <p>You will work on scalable, high-performance search solutions built on <b>Apache Solr</b>, collaborating on services and infrastructure across a modern backend technology stack that includes <b>Java, Docker, Kafka, and Solr</b>. This is an exciting opportunity for an engineer who enjoys solving complex challenges related to search relevance, performance, scalability, and reliability within large-scale distributed systems.<br> </p> How You Will Make an Impact:<br> <p>As a Software Engineer, you will:</p> <ul> <li>Design, develop, and maintain core search platform components and backend systems.</li> <li>Build and enhance scalable services and features that improve search performance, relevance, and reliability.</li> <li>Troubleshoot and resolve issues across development, testing, and production environments.</li> <li>Contribute to architectural discussions, technical design reviews, and code reviews.</li> <li>Improve software quality through automated testing, refactoring, and proactive management of technical debt.</li> <li>Collaborate effectively with cross-functional teams and colleagues across multiple regions and time zones.</li> <li>Support the continuous improvement of engineering practices, processes, and platform capabilities.<br> </li> </ul><b> What We Look For:</b><br> Required Qualifications <ul> <li>Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.</li> <li>Professional experience developing applications using <b>Java</b>, with a strong understanding of object-oriented programming principles, data structures, and software design patterns.</li> <li>Experience writing unit and integration tests using frameworks such as <b>JUnit</b> and <b>Mockito</b>.</li> <li>Hands-on experience working with <b>Git</b> and <b>Linux-based environments</b>.</li> <li>Strong analytical and problem-solving skills with a focus on quality and continuous improvement.</li> <li>Excellent verbal and written communication skills in English.</li> <li>Ability to work effectively both independently and as part of a distributed team.</li> </ul> Preferred Qualifications <ul> <li>Experience designing and building <b>RESTful APIs</b> and backend services.</li> <li>Experience working with search technologies or within the information retrieval domain.</li> <li>Hands-on experience with <b>Apache Solr</b>, <b>Elasticsearch</b>, or other Lucene-based search platforms.</li> <li>Familiarity with distributed systems and event-driven architectures using technologies such as <b>Kafka</b>.</li> <li>Experience with cloud-native and DevOps technologies including <b>Docker</b>, <b>Kubernetes</b>, <b>Jenkins</b>, <b>GitHub Actions</b>, and/or <b>Google Cloud Platform (GCP)</b>.</li> </ul> </div> <p> </p> <p> </p> <p><br></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Who Are We❓ We Are Foodics!<br> a leading restaurant management ecosystem and payment tech provider.<br> Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait.<br> We are currently serving customers and partners in over 35 different countries worldwide.<br> Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far!<br> making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region.<br> Also Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.<br> About the role We are growing our engineering team and are looking for a technically strong Engineering Manager to lead one of our delivery teams.<br> This is a delivery-focused leadership role: your job is to turn a cross-functional roadmap into shipped, high-quality software on a predictable cadence, while providing the technical insight and guidance needed to keep delivery pragmatic, reliable, and well-executed.<br> The team has two clear areas of ownership.<br> First, the Hotels domain, the guest-facing and hotel-operations features that serve our enterprise hotel customers, from in-room and on-property ordering through to stay-management and guest-services capabilities.<br> Second, third-party integrations such as POS's (Point of Sale), PMS (Property Management System), payment gateways, and loyalty connections that the Hotels business depends on, where you own the technical relationship end-to-end.<br> You own the throughput, quality, and getting integration-heavy work delivered efficiently.<br> This role reports to the Engineering Director.<br> Your mission You own the delivery health of your squad end-to-end.<br> You take a mixed backlog of integration, platform, and product work and ship it predictably, at high quality, with the dependencies managed and the risks surfaced early.<br> Key responsibilities Manage a team of full stack engineers, actively drive their growth, performance, and engagement.<br> Mobile engineers are a possibility as well.<br> Turn quarterly roadmaps into a realistic delivery plan, track progress, and report status with metrics against company goals.<br> Run tight agile processes and continuously improve them based on delivery metrics.<br> Manage dependencies across different domains, with external integration partners, escalating and resolving blockers early (e.<br>g. with POS systems etc.<br>). Review RFCs and technical proposals, providing feedback on design, scalability, security, and integration risk, and helping the team converge on sound decisions before things enter a delivery commitment.<br> Lead technical discussions with third-party integration partners, translating between partner APIs and constraints and wi-Q's architecture, and owning the technical feasibility view in those conversations.<br> Improve engineering process and delivery metrics (for example cycle time, deployment frequency, change-failure rate, and defect escape rate), and use them to drive decisions.<br> Uphold security and compliance obligations relevant to the team's work (e.<br>g. PCI DSS etc.<br>), embedding them into how the squad builds rather than treating them as an afterthought.<br> Draft and track team OKRs and engineering KPIs (e.<br>g. DORA); when the team is off track, show what is being done about it.<br> Coordinate across Product, Customer Success, DevOps, and the Foodics counterparts to deliver shared goals.<br> What success looks like (first 6-12 months) The team has a predictable delivery cadence, with sprint and quarterly commitments met at a consistent and improving hit rate.<br> Cross-team and third-party dependencies are visible and managed early, so the squad is rarely blocked and rarely blocks others.<br> Release quality is measurably higher: fewer escaped defects and a faster, safer path from merge to production.<br> Delivery from the team contributes directly to improving TTV for new customer go-lives and to protecting NRR through platform stability.<br> The team is fully staffed, ramped, and retained, with a clear working model and a healthy engagement signal.<br> Product, Commercial, and Customer Success stakeholders trust the team's estimates, status, and risk flags.<br> Your skills Demonstrated experience managing a team of software engineers, with a track record of delivering on commitments predictably.<br> Strong command of agile and lean delivery practices (sprints, kanban, estimation, refinement) and the maturity to adapt process to context rather than apply it dogmatically.<br> Proven ability to manage dependencies and coordinate delivery across multiple teams and external partners.<br> Technically strong: able to review RFCs and technical proposals critically, reason about architecture, scalability, and integration risk, scope engineering spikes, and hold your own in technical discussions with engineers and third-party partners.<br> Fluency with delivery and quality metrics, and the discipline to lead with data over anecdote.<br> Excellent written and verbal communication in English; able to lead with the conclusion, be concise, and be specific about blockers and decisions needed.<br> Ability to translate technical concepts into easily digestible language for non-technical business stakeholders.<br> Experience operating in multi-market or multi-region environments, ideally with distributed and remote teams.<br> Comfortable in a fast-moving scale-up where priorities shift and ambiguity is normal.<br> Nice-to-haves Experience in B2B SaaS with high-volume B2C traffic patterns.<br> Background in hospitality-tech, food and beverage, payments, or last-mile delivery.<br> Working knowledge of our stack: Google Cloud Platform (GCP), Kubernetes, GitHub, PHP/Symfony, NodeJS, Typescript, and a mobile stack (Capacitor, Ionic, or React Native).<br> Familiarity with integrating third-party systems (POS, PMS, payment gateways, delivery aggregators) and the reliability challenges they bring.<br> Experience hiring and scaling engineering teams in the MENA region.<br> BSc or MSc degree (or equivalent experience).<br> What we offer Curated career progression planning with formal yearly reviews and informal check-ins along the way.<br> Encouragement to grow into a Feature Development Lead.<br> A competitive salary.<br> Ample time to learn new concepts - including paid development and business-related conferences.<br> Fully remote working, no commuting expenses.<br> Flexible work hours.<br> We'll need you around for a 10am stand-up; otherwise you work as and when it suits you.<br> 25 days holiday (plus bank holidays), with an additional day per year of service.<br> Regular all-company socials and quarterly team socials.<br> A team that genuinely likes learning and shipping together.<br></span> </div>

<p>Our Mission is to Simplify Life. We are looking to Simplify and automate complex decision-making for customer centric industries, like Utilities, Financial Services, Logistics, and commerce, that drive the world's economies and you have the chance to join the revolution. We are trying to solve huge challenges in today's enterprise that are directly impacting the employee and customer experience. Avertrau2019s DevOps team is responsible for building and maintaining a modern, scalable, highly available infrastructure to power up our products and service for our clients all over the world. We are looking for a skilled DevOps Engineer who has strong practical troubleshooting skills, advanced overall systems knowledge, public clouds, and provisioning tools. The successful candidate will be responsible for:</p><p>Designing, building, shipping, and maintaining distributed systems. Building Monitoring, logging, alerting around our infrastructure and applications. Improving the reliability of our systems and CI/CD pipelines both internally and for our customers. Putting everything into code. Plan for reliability by designing systems to work across our multi-region and multi-cloud environments. Working in close collaboration with multi-functional teams. Technical writing / Documentation. Vendor Management.</p><p><strong>Main Job Responsibilities:</strong></p><ul><li><strong>Continuous Integration and Deployment:</strong><ul><li>Implement and maintain automated build, test, and deployment pipelines using industry-standard tools such as Jenkins, Travis CI, or GitLab CI/CD, Azure DevOpsu2026etc.</li><li>Design and configure continuous integration and delivery workflows to enable frequent and reliable releases of software applications.</li></ul></li><li><strong>Infrastructure Automation:</strong><ul><li>Develop and maintain infrastructure-as-code using tools like Terraform, Ansible, or CloudFormation to automate the provisioning and configuration of cloud-based environments.</li><li>Implement and manage containerization technologies like Docker and orchestration platforms like Kubernetes for scalable and resilient application deployments.</li></ul></li><li><strong>Monitoring and Performance Optimization:</strong><ul><li>Monitor system performance and troubleshoot issues related to scalability, reliability, and availability.</li><li>Implement and configure monitoring tools such as Prometheus, Grafana, New Relic, or ELK Stack to proactively identify bottlenecks and optimize system performance.</li></ul></li><li><strong>Collaboration and Communication:</strong><ul><li>Collaborate with cross-functional teams, including developers, system administrators, and quality assurance, to improve the development and deployment processes.</li><li>Act as a bridge between development and operations teams, facilitating effective communication and knowledge sharing.</li></ul></li><li><strong>Security and Compliance:</strong><ul><li>Implement and enforce security best practices throughout the software development lifecycle.</li><li>Ensure compliance with relevant regulations, industry standards and internal policies.</li></ul></li><li><strong>Documentation and Knowledge Sharing:</strong><ul><li>Document infrastructure configurations, deployment processes, and troubleshooting guidelines.</li><li>Contribute to internal knowledge sharing initiatives and help in developing best practices within the organization.</li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>5+ years of relevant of hands-on experience in the DevOps industry</li><li>Containerization (Kubernetes and OpenShift)</li><li>Configuration tools and frameworks (Terraform, Istio, Helm)</li><li>Knowledge of systems (Linux, GNU tooling), networking (OSI model, DNS, routing, SSL Certificates) and virtualization vs containerization</li><li>Public clouds: AWS/Azure/GCP/Mendix</li><li>Security Awareness</li><li>Experience with CI/CD concepts</li><li>Experience in conducting IT audits, both internal and external</li><li>Fluent in both oral and written English</li><li>Time Management skills</li><li>Capable of succeeding in a very dynamic and fast-paced environment</li><li>Able to work individually as well as being a cooperative team player</li><li>Knowledge of programming languages</li><li>Strong problem-solving skills</li><li>Good attention to detail</li><li>Excellent organisational and time management skills, and the ability to work on multiple projects at the same time</li><li>Awareness of DevOps and Agile principles.</li><li>Strong understanding of software development methodologies and the SDLC.</li><li>Proficiency in scripting languages such as Bash, Python, or PowerShell.</li><li>Experience with cloud platforms like AWS, Azure, or Google Cloud Platform.</li><li>Knowledge of containerization technologies like Docker and container orchestration platforms like Kubernetes.</li><li>Familiarity with infrastructure automation tools such as Terraform, Ansible, or CloudFormation.</li><li>Experience with CI/CD tools like Jenkins, Travis CI, or GitLab CI/CD.</li><li>Understanding of networking concepts and protocols.</li><li>Knowledge of monitoring and logging tools such as Prometheus,New Relic Grafana, or ELK Stack.</li><li>Strong problem-solving and troubleshooting skills.</li><li>Excellent communication and collaboration skills.</li><li>AWS Certified DevOps Engineer Professional.</li><li>AWS Certified DevOps Engineer - Professional Certification.</li><li>Azure DevOps Engineer Expert.</li><li>Certified Kubernetes Administrator (CKA).</li><li>Docker Certified Associate (DCA).</li><li>Puppet Certified Professional.</li><li>Degree in Computer Science or related field (Master / Bachelor level).</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>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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <div dir="rtl"><p>شركة بدابوق عن توفر الشواغر التالية للعمل في فرع الشركة الكائن في شارع المواصفات والمقاييس:</p><p><br></p><p>? مدير عام</p><p>يشترط التمتع بالجديّة والالتزام والقدرة على العمل ضمن فريق، وتُفضل الخبرة في المجال للوظائف التخصصية.</p><p><br></p></div> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><div dir="rtl"><p>1. الإشراف الإداري والتشغيلي اليومي</p><ul><li>إدارة ومتابعة سير العمل اليومي وضمان الالتزام بالأنظمة واللوائح.</li><li>تنسيق العمل والربط بين الأقسام المختلفة (قسم المببيعات، قسم التصميم والتطوير، وقسم الصيانة).</li><li>توزيع المهام على الموظفين ومتابعة إنتاجيتهم والتزامهم بالخطة الموضوعة.</li></ul><p>2. تطوير المببيعات والخطط التسويقية</p><ul><li>الإشراف المباشر على فريق المببيعات (موظفين وموظفات) ووضع مستهدفات بيعية (<b>KPIs / Targets</b>) واضحة لهم.</li><li>متابعة جودة خدمة العملاء وحل أي مشكلات تواجه الزبائن لضمان الحفاظ على السمعة التجارية للشركة.</li><li>دراسة السوق المحلي في الأردن والمناطق المحيطة لتطوير استراتيجيات تزيد من الحصة السوقية والأرباح.</li></ul><p>3. إدارة الجوانب المالية والتقارير</p><ul><li>مراقبة المصاريف التشغيلية للفرع وضمان تحقيق الأهداف المالية ومعدلات الربحية المطلوبة.</li><li>إعداد تقارير دورية (أسبوعية/شهرية) ترفع لك مباشرة، تشمل أداء المببيعات، التحديات، والحلول المقترحة.</li></ul><p>4. الإشراف على الموارد البشرية والتقييم</p><ul><li>تقييم أداء الموظفين بشكل مستمر، وتحديد احتياجاتهم التدريبية، وتحفيزهم لرفع كفاءة العمل.</li><li>المشاركة في عمليات التوظيف واختيار الكفاءات الجديدة للفرع بالتنسيق معك.</li></ul><p>5. متابعة الأصول والخدمات اللوجستية</p><ul><li>الإشراف على مهندس الصيانة لضمان جاهزية الفرع، سلامة الأجهزة، والمعدات، واستمرارية العمل دون انقطاع.</li></ul><p><br></p></div></div>

<p><br></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>Key Responsibilities</p><ul><li>Support the design and detailing of river training and hydraulic protection works, including:<ul><li>Diversion dikes for wadi systems</li><li>Bank protection, revetments and channel stabilisation measures</li></ul></li><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><br></p><p><strong>Desired Candidate Profile</strong></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>GovCIO is currently hiring for an Information Assurance Engineer to participate with the client in the strategic design process to translate security and business requirements into technical designs. This position will be located in Jordan and will be fully onsite position.</p><p>Designs and implements information assurance and security engineering systems with requirements of business continuity, operations security, cryptography, forensics, regulatory compliance, internal counter-espionage (insider threat detection and mitigation), physical security analysis (including facilities analysis, and security management). Assesses and mitigates system security threats and risks throughout the program life cycle. Validates system security requirements definition and analysis. Establishes system security designs. Implements security designs in hardware, software, data, and procedures. Verifies security requirements; performs system certification and accreditation planning and testing and liaison activities. Supports secure systems operations and maintenance. Participates with the client in the strategic design process to translate security and business requirements into technical designs. Configures and validates secure systems and tests security products and systems to detect security weakness; performs network scanning and vulnerability analysis. Ensures that the appropriate security features and safeguards have been implemented on all information systems as required by DoD/IC policy and directives, and industry best practices. Performs defense device system installation, configuration maintenance, account maintenance, signature maintenance, patch management, and troubleshooting of all implemented, maintained, and deployed systems. Provides security certification test and evaluation of assets, vulnerability management and response, security assessments, customer support and provides guidance on security issues.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>High School with 9+ years (or commensurate experience)</li><li>Clearance Required: TS/SCI</li><li>State-accredited Professional Engineer (PE) license through the National Council of Examiners for Engineering and Surveying (NCEES)</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Our Mission is to Simplify Life. We are looking to Simplify and automate complex decision-making for customer centric industries, like Utilities, Financial Services, Logistics, and commerce, that drive the world's economies and you have the chance to join the revolution. We are trying to solve huge challenges in today's enterprise that are directly impacting the employee and customer experience.</p><p><br></p><p>Avertra’s DevOps team is responsible for building and maintaining a modern, scalable, highly available infrastructure to power up our products and service for our clients all over the world.&nbsp;We are looking for a skilled DevOps Engineer who has strong practical troubleshooting skills, advanced overall systems knowledge, public clouds, and provisioning tools. The successful candidate will be responsible for:</p><p>● Designing, building, shipping, and maintaining distributed systems.</p><p>● Building Monitoring, logging, alerting around our infrastructure and applications.</p><p>● Improving the reliability of our systems and CI/CD pipelines both internally and for our customers.</p><p>● Putting everything into code.</p><p>● Plan for reliability by designing systems to work across our multi-region and multi-cloud environments.</p><p>● Working in close collaboration with multi-functional teams.</p><p>● Technical writing / Documentation.</p><p>● Vendor Management.</p><p><br></p><p><b>Main Job Responsibilities:</b></p><p><b>​</b></p><p><b>Continuous Integration and Deployment:</b></p><p>• Implement and maintain automated build, test, and deployment pipelines using industry-standard tools such as Jenkins, Travis CI, or GitLab CI/CD, Azure DevOps…etc.</p><p>• Design and configure continuous integration and delivery workflows to enable frequent and reliable releases of software applications.</p><p><br></p><p><b>Infrastructure Automation:</b></p><p>• Develop and maintain infrastructure-as-code using tools like Terraform, Ansible, or CloudFormation to automate the provisioning and configuration of cloud-based environments.</p><p>• Implement and manage containerization technologies like Docker and orchestration platforms like Kubernetes for scalable and resilient application deployments.</p><p><br></p><p><b>Monitoring and Performance Optimization:</b></p><p>• Monitor system performance and troubleshoot issues related to scalability, reliability, and availability.</p><p>• Implement and configure monitoring tools such as Prometheus, Grafana, New Relic, or ELK Stack to proactively identify bottlenecks and optimize system performance.</p><p><br></p><p><b>Collaboration and Communication:</b></p><p>• Collaborate with cross-functional teams, including developers, system administrators, and quality assurance, to improve the development and deployment processes.</p><p>• Act as a bridge between development and operations teams, facilitating effective communication and knowledge sharing.</p><p><br></p><p><b>Security and Compliance:</b></p><p>• Implement and enforce security best practices throughout the software development lifecycle.</p><p>• Ensure compliance with relevant regulations, industry standards, and internal policies.</p><p><br></p><p><b>Documentation and Knowledge Sharing:</b></p><p>• Document infrastructure configurations, deployment processes, and troubleshooting guidelines.</p><p>• Contribute to internal knowledge sharing initiatives and help in developing best practices within the organization.</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Experience:&nbsp;</b></p><p><br></p><p>● 5+ years of relevant of hands-on experience in the DevOps industry</p><p>● Containerization (Kubernetes and OpenShift)</p><p>● Configuration tools and frameworks (Terraform, Istio, Helm)</p><p>● Knowledge of systems (Linux, GNU tooling), networking (OSI model, DNS, routing, SSL Certificates) and virtualization vs containerization</p><p>● Public clouds: AWS/Azure/GCP/Mendix</p><p>● Security Awareness</p><p>● Experience with CI/CD concepts</p><p>● Experience in conducting IT audits, both internal and external</p><p><br></p><p><b>Needed Competencies:</b></p><p><br></p><p>● Fluent in both oral and written English</p><p>● Time Management skills</p><p>● Capable of succeeding in a very dynamic and fast-paced environment</p><p>● Able to work individually as well as being a cooperative team player</p><p>● Knowledge of programming languages</p><p>● Strong problem-solving skills</p><p>● Good attention to detail</p><p>● Excellent organisational and time management skills, and the ability to work on multiple projects at the same time</p><p>● Awareness of DevOps and Agile principles.</p><p><br></p><p><b>Knowledge, Skills and Abilities:</b></p><p><br></p><p>• Strong understanding of software development methodologies and the SDLC.</p><p>• Proficiency in scripting languages such as Bash, Python, or PowerShell.</p><p>• Experience with cloud platforms like AWS, Azure, or Google Cloud Platform.</p><p>• Knowledge of containerization technologies like Docker and container orchestration platforms like Kubernetes.</p><p>• Familiarity with infrastructure automation tools such as Terraform, Ansible, or CloudFormation.</p><p>• Experience with CI/CD tools like Jenkins, Travis CI, or GitLab CI/CD.</p><p>• Understanding of networking concepts and protocols.</p><p>• Knowledge of monitoring and logging tools such as Prometheus,New Relic Grafana, or ELK Stack.</p><p>• Strong problem-solving and troubleshooting skills.</p><p>• Excellent communication and collaboration skills.</p><p><br></p><p><b>Preferences:</b></p><p><br></p><p>● AWS Certified DevOps Engineer Professional.</p><p>● AWS Certified DevOps Engineer - Professional Certification.</p><p>● Azure DevOps Engineer Expert.</p><p>● Certified Kubernetes Administrator (CKA).</p><p>● Docker Certified Associate (DCA).</p><p>● Puppet Certified Professional.</p><p><br></p><p><b>Education:</b> Degree in Computer Science or related field (Master / Bachelor level).</p><p><br></p><p><b>Travel:</b>&nbsp;&nbsp;Based on customer requirement(s).</p><p><br></p><p><b>Work Schedule:</b>&nbsp;&nbsp;Local Avertra office schedule.</p><p><br></p><p>Benefits</p><p><b>What can we promise you:</b></p><ul><li>You’ll join a global family of awesome, passionate people that are working together to build a sustainable, scalable ecosystem committed to using logic to create a better experience.</li><li>We want you to help us become better. You will be empowered to drive change and innovate.</li><li>That we will invest in you. We will give you the opportunity to master your domain and drive excellence.</li></ul><p><br></p></div>

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>A leading global pharmaceutical company is seeking a Director, Data &amp; Analytics to take ownership of the strategy, architecture, delivery, and operational performance of its Data &amp; Analytics function.<br> 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.<br> 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.<br> Responsibilities: 1.<br> Platform Architecture &amp; Engineering Leadership: Own the enterprise data platform, Azure Data Lake Storage Gen2, Databricks lakehouse (Medallion architecture), Power BI, and Unity Catalog, ensuring it is architecturally sound, standardised, reliable, and engineered to scale 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 Own the Unity Catalog governance model, RBAC, lineage, business glossary, and metric definitions, as the platform-enforced foundation for trusted data 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 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 Own data platform observability and operational excellence, pipeline reliability, SLA adherence, incident response, and data quality monitoring 2.<br> Delivery &amp; Data Products: Run the D&amp;A delivery programme, from source ingestion and pipeline engineering through to analytics, semantic layer, and data product delivery for business functions Set and enforce delivery standards: sprint cadence, code review, documentation, testing, validation, and release management practices that govern all team output Define and own data SLAs to the business, pipeline refresh frequency, availability, and incident response commitments, and ensure delivery is held against them Own the data integration roadmap, prioritising ingestion of new source systems into the lake in alignment with business demand and platform readiness 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 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 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 3.<br> Data Governance &amp; Quality: Design and operate the data governance operating model, data ownership, stewardship, quality standards, business glossary, and metric definitions Embed data quality gates into Medallion layer promotion, making quality a precondition of Bronze-to-Gold progression, with measurable thresholds and clear remediation paths 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 Lead the technical evaluation, selection, and implementation of enterprise data catalogue tooling, including integration with Unity Catalog and the platform metadata layer 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 Establish data quality measurement as a managed practice, KPIs, dashboards, periodic review, and accountability with data owners 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 4.<br> Team Leadership &amp; Capability Development: Lead, hire, and develop the D&amp;A team, Data Engineers, Analytics Engineers, BI Developers, and Business Analysts, sequencing hires in alignment with the platform roadmap and delivery demand Define and evolve the role design, skills profile, and career framework for the team within the broader Data &amp; AI CoE structure Set the team's performance culture: clear ownership, high engineering standards, fast feedback, continuous learning, and documentation as a team discipline Coach and develop team members directly, identifying high-potential individuals, investing in their technical and leadership growth, and building bench strength across roles Manage team capacity and allocation across the platform roadmap and business delivery demand, ensuring focus stays on high-value work aligned to strategic priorities Set the engineering craft culture, code review, design review, pairing, and shared technical standards, that lifts the technical quality of all team output 5.<br> Business Partnership &amp; Vendor Engagement: Serve as the senior D&amp;A point of contact for business function leadership, translating business data needs into platform and delivery priorities Build credibility with business stakeholders through reliable, consistent delivery, data products that are well-understood, well-documented, and match business expectations Communicate proactively on platform status, delivery commitments, risks, and trade-offs, ensuring stakeholders have a current view and surfacing issues early Represent D&amp;A in cross-functional planning forums, ensuring the data foundation perspective is present in enterprise architecture, application, and AI investment decisions Manage operational vendor and partner relationships for the data platform, Databricks, Microsoft Azure, Power BI, and implementation or augmentation partners Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or related discipline Master's degree in Data Science, Computer Science, Business Administration, or related field is preferred Relevant certifications in cloud data platforms (e.<br>g., Azure Data Engineer, Databricks Certified Data Engineer Professional) are preferred Minimum 10 years of progressive experience in data engineering, data platform, or enterprise analytics roles Minimum 5 years in a senior leadership role with direct team management accountability, hiring, developing, and performance managing a multi-disciplinary technical team Proven hands-on production experience with Databricks (Delta Lake, Unity Catalog) and Azure data services at platform-design and engineering-lead level Proven track record building or substantially remediating a cloud-native data platform in a complex, multi-source enterprise environment Experience with Medallion/lakehouse architecture patterns in production Experience designing data products and platform capabilities for AI/ML consumption, including Feature Store design, training dataset engineering, and ML data lineage is preferred 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 Experience leading a data governance or catalogue implementation, from design through to business adoption Life sciences, pharmaceutical, or other regulated industry experience is preferred Skills : Technical Competencies: Data Platform Architecture Data Engineering, Pipeline Design &amp; CDC Patterns Data Modelling, Transformation &amp; Engineering Standards Data Governance, Quality &amp; Catalogue Analytics &amp; BI Delivery MLOps &amp; ML Platform Foundations Delivery Management &amp; Agile Methods Platform &amp; Technical Skills: Deep practical expertise in Azure data services: ADLS Gen2, Azure Data Factory, Azure DevOps Hands-on production experience with Databricks, Delta Lake, notebooks, Unity Catalog, MLflow Strong understanding of incremental load and CDC patterns across enterprise source systems (SAP, Veeva, SuccessFactors, and similar) Power BI at the semantic layer level, understanding how the semantic layer should be designed for enterprise scale CI/CD for data pipelines, practical implementation at production scale Data quality frameworks, profiling, expectation testing, alerting, and remediation workflows Working knowledge of modern data governance tooling: Unity Catalog, Collibra, Purview, or DataHub Leadership &amp; Business Skills: Credible with both technical teams and senior business stakeholders Strong delivery discipline, owns commitments, communicates risks early, and sizes work realistically Structured thinker, able to take a complex current state and produce a clear, prioritised, sequenced roadmap Strong written and verbal communication in English; Arabic proficiency valued Cultural intelligence for working effectively across MENA, US, and Europe</span> </div>

<p><strong>ABOUT THE ROLE &amp; TEAM</strong></p><p>The Site Reliability Engineer is responsible for the proactive support of products to ensure high product performance, with a continuous focus on improvement. The role involves identifying and resolving the root causes of operational incidents, implementing solutions to enhance stability, and preventing recurrence. The Site Reliability Engineer manages the creation and maintenance of the event catalogue to trigger events and develops both manual remediation approaches and automated workflows to address alerts. Additionally, they oversee the deployment of IT services and solutions, ensuring seamless integration with minimal disruption.</p><p><strong>WHAT YOU LL DO</strong></p><ul><li>Design, build, and maintain support systems to ensure high availability, scalability, and performance of critical infrastructure.</li><li>Lead incident response and root cause analysis for system failures, including problem investigations and coordination with relevant teams.</li><li>Implement and manage automation for system provisioning, deployment, self-healing, and performance monitoring to increase operational efficiency.</li><li>Establish and monitor SLIs/SLOs, proactively identify performance issues, and drive continuous improvements in service reliability.</li><li>Collaborate with development and operations teams to embed reliability best practices and evolve toward zero-downtime architecture.</li><li>Manage and optimize an event catalog, including event definitions, thresholds, remediation actions, and relevance across products.</li><li>Develop event response protocols, provide training, and ensure efficient handling of incidents across teams.</li><li>Drive post-incident reviews and feedback loops to enhance event definitions and service reliability.</li><li>Oversee quality and readiness of deployments, ensuring clear processes, assigned responsibilities, and minimal disruption.</li><li>Maintain deployment schedules and conduct risk assessments to ensure operational stability and deployment readiness.</li><li>Coordinate and execute deployment plans, manage resources, and incorporate feedback for continuous process improvement.</li><li>Manage CI/CD pipelines and infrastructure as code, ensuring seamless integration between development and operations.</li><li>Support and evolve DevOps practices, automating operational tasks and maintaining tools to drive ongoing efficiency.</li></ul><p><strong>Desired Candidate Profile</strong></p><h2>Who You Are:</h2><ul><li>Bachelor's degree in computer science, Information Technology, Engineering, or a related field.</li><li>Several years of experience in IT operations, service management, or infrastructure management, including roles such as Site Reliability Engineer, Problem Manager, or DevOps Manager.</li><li>Proven experience in managing high-availability systems and ensuring operational reliability.</li><li>Extensive experience in root cause analysis (RCA), incident management, and developing permanent solutions for recurring service disruptions.</li><li>Hands-on experience with CI/CD pipelines, automation, system performance monitoring, and the implementation of infrastructure as code.</li><li>Strong background in collaborating with cross-functional teams (development, operations, engineering, etc.) to improve operational processes and service delivery.</li><li>Experience in managing deployments, risk assessments, and optimizing event and problem management processes.</li><li>Familiarity with cloud technologies, containerization, and scalable architecture, including experience with zero-downtime deployment strategies.</li><li>CompTIA Security+ or Certified Kubernetes Administrator (CKA).</li></ul><h2>Functional Skills:</h2><ul><li>Collaboration</li><li>Stakeholder Management</li><li>Service Design</li><li>Communication</li><li>Problem Solving</li><li>Incident Management</li><li>Change Management</li><li>Innovation</li></ul><h2>Technical Skills:</h2><ul><li>Cloud Infrastructure</li><li>Automation &amp; AI Operations</li><li>Monitoring &amp; Diagnostics</li><li>Deployment</li><li>Programming &amp; Scripting Languages</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Description InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries.<br> We are currently seeking a Junior AI Engineer – Computer Vision to join our AI engineering team.<br> As a Junior Computer Vision Engineer at InnovationTeam , you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments.<br> You will work closely with cross-functional teams to build scalable image and video analytics solutions.<br> This position requires strong expertise in computer vision, deep learning, and software engineering.<br> The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.<br> At InnovationTeam , we foster a culture of innovation, collaboration, and technical excellence, offering an environment where Junior engineers can make a meaningful impact.<br> Role Overview We are seeking a skilled AI Engineer with a strong focus on Computer Vision to develop, optimize, and deploy vision-based AI solutions.<br> The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.<br> Key Responsibilities · Develop and train Computer Vision models for image and video analysis.<br> · Implement solutions for object detection, image classification, segmentation, and tracking.<br> · Prepare and manage datasets, including data cleaning, labelling, and augmentation.<br> · Optimize models for GPU performance, inference speed, and scalability.<br> · Deploy AI models into production using APIs and containerized services.<br> · Integrate Computer Vision models with broader AI and analytics platforms.<br> · Collaborate with software engineers, data scientists, and product teams.<br> · Maintain documentation and ensure code quality and reproducibility.<br> Required Skills &amp; Qualifications · Minimum 2 years of hands-on experience in AI / Machine Learning/Deep learning with a focus on Computer Vision.<br> · Master’s degree in computer science, software Engineering, Artificial Intelligence, Engineering, or a related field.<br> · Strong knowledge of Computer Vision concepts and algorithms.<br> · Practical experience with CNN-based models and modern CV architectures.<br> · Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).<br> · Experience with object detection and segmentation frameworks (e.<br>g., YOLO, Detectron2).<br> · Understanding of model evaluation, metrics, and performance optimization.<br> · Experience deploying models in cloud or on-prem environments.<br> · Familiarity with Docker and basic MLOps practices.<br> · Excellent English communication skills (written and spoken).<br> Nice to Have · Experience with video analytics or real-time inference.<br> · Exposure to Vision Transformers or multimodal AI.<br> · Experience with GPU-based training and inference.<br> · Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).<br> · Background in domains such as healthcare, smart cities, or industrial AI.<br> What We Offer · Work on practical, production-grade Computer Vision solutions.<br> · Access to GPU infrastructure and modern AI tooling.<br> · Collaborative, engineering-focused work environment.<br> · Opportunities for growth and advanced AI exposure.<br> · Competitive compensation package.<br></span> </div>

<p><h4>Description</h4> <p>The Specialist Network Engineer - Cisco Security is responsible for designing, implementing, and supporting enterprise network security solutions with a primary focus on Cisco Identity Services Engine (ISE) and Cisco Firepower technologies (FTD & FMC). The role involves managing network access control (NAC), authentication services, firewall policies, VPN solutions, and advanced threat protection to ensure secure and reliable enterprise infrastructure operations. The engineer works closely with network, infrastructure, and security teams to deploy and optimize security controls across wired, wireless, and remote access environments. Key responsibilities include configuring Cisco ISE for authentication, authorization, posture assessment, and device profiling, as well as administering Cisco Firepower firewalls, IPS, AMP, and URL filtering features.</p> <p>The role also includes monitoring security infrastructure, troubleshooting complex network security issues, performing system upgrades, and responding to security incidents. Additionally, the engineer is responsible for maintaining security documentation, enforcing organizational security standards, and contributing to continuous improvement initiatives to strengthen the company’s overall security posture. The ideal candidate should possess strong hands-on experience with Cisco security technologies, enterprise networking concepts, and security best practices.</p> <h4>Responsibilities</h4> <ul> <li><strong>Cisco ISE (Identity Services Engine) Administration</strong> <ul> <li>Design, deploy, and maintain Cisco ISE solutions for Network Access Control (NAC)</li> <li>Configure and manage AAA services using: <ul> <li>802.1X</li> <li>MAB</li> <li>TACACS+</li> </ul> </li> <li>Manage and support: <ul> <li>Guest access portals</li> <li>BYOD onboarding</li> <li>Posture assessment policies</li> </ul> </li> <li>Integrate Cisco ISE with Active Directory and identity management systems</li> <li>Troubleshoot authentication and authorization issues across wired and wireless environments</li> <li>Define and enforce access control policies based on user roles, device profiling, and security posture</li> </ul> </li> <li><strong>Cisco Firepower (FTD & FMC) Management</strong> <ul> <li>Manage Cisco Firepower (FTD & FMC) environments</li> <li>Firewall policies</li> <li>Site-to-site and remote access VPNs</li> <li>Monitor security features like IPS, AMP, URL filtering</li> <li>Perform upgrades, patching, and security monitoring</li> </ul> </li> <li><strong>Security Operations</strong> <ul> <li>Monitor and troubleshoot network security issues</li> <li>Support incident response and root cause analysis</li> <li>Ensure infrastructure availability and compliance</li> </ul> </li> <li><strong>Documentation & Continuous Improvement</strong> <ul> <li>Maintain documentation of security configurations, policies, and operational procedures</li> <li>Contribute to the development of network security standards and best practices</li> <li>Identify opportunities to improve security posture, operational efficiency, and infrastructure resilience</li> </ul> </li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in Computer Science, Information Technology, or related field, or equivalent experience</li> <li>3–5+ years of experience in network security or security engineering roles</li> <li>Hands-on experience with Cisco ISE and Cisco Firepower (FTD & FMC) technologies</li> <li>Experience supporting enterprise-scale network security environments and NAC solutions</li> <li>Strong understanding of TCP/IP networking, VLANs, routing, switching, and security architectures</li> <li>Experience with VPN technologies, firewall policy management, and security monitoring/log analysis</li> <li>Knowledge of enterprise security best practices, access control frameworks, and incident troubleshooting</li> </ul></p><p></p>

<p><h4>Description</h4> <p>The Specialist Network Engineer - Cisco Security is responsible for designing, implementing, and supporting enterprise network security solutions with a primary focus on Cisco Identity Services Engine (ISE) and Cisco Firepower technologies (FTD & FMC). The role involves managing network access control (NAC), authentication services, firewall policies, VPN solutions, and advanced threat protection to ensure secure and reliable enterprise infrastructure operations. The engineer works closely with network, infrastructure, and security teams to deploy and optimize security controls across wired, wireless, and remote access environments. Key responsibilities include configuring Cisco ISE for authentication, authorization, posture assessment, and device profiling, as well as administering Cisco Firepower firewalls, IPS, AMP, and URL filtering features.</p> <p>The role also includes monitoring security infrastructure, troubleshooting complex network security issues, performing system upgrades, and responding to security incidents. Additionally, the engineer is responsible for maintaining security documentation, enforcing organizational security standards, and contributing to continuous improvement initiatives to strengthen the company’s overall security posture. The ideal candidate should possess strong hands-on experience with Cisco security technologies, enterprise networking concepts, and security best practices.</p> <h4>Responsibilities</h4> <ul> <li><strong>Cisco ISE (Identity Services Engine) Administration</strong> <ul> <li>Design, deploy, and maintain Cisco ISE solutions for Network Access Control (NAC)</li> <li>Configure and manage AAA services using: <ul> <li>802.1X</li> <li>MAB</li> <li>TACACS+</li> </ul> </li> <li>Manage and support: <ul> <li>Guest access portals</li> <li>BYOD onboarding</li> <li>Posture assessment policies</li> </ul> </li> <li>Integrate Cisco ISE with Active Directory and identity management systems</li> <li>Troubleshoot authentication and authorization issues across wired and wireless environments</li> <li>Define and enforce access control policies based on user roles, device profiling, and security posture</li> </ul> </li> <li><strong>Cisco Firepower (FTD & FMC) Management</strong> <ul> <li>Manage Cisco Firepower (FTD & FMC) environments</li> <li>Firewall policies</li> <li>Site-to-site and remote access VPNs</li> <li>Monitor security features like IPS, AMP, URL filtering</li> <li>Perform upgrades, patching, and security monitoring</li> </ul> </li> <li><strong>Security Operations</strong> <ul> <li>Monitor and troubleshoot network security issues</li> <li>Support incident response and root cause analysis</li> <li>Ensure infrastructure availability and compliance</li> </ul> </li> <li><strong>Documentation & Continuous Improvement</strong> <ul> <li>Maintain documentation of security configurations, policies, and operational procedures</li> <li>Contribute to the development of network security standards and best practices</li> <li>Identify opportunities to improve security posture, operational efficiency, and infrastructure resilience</li> </ul> </li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in Computer Science, Information Technology, or related field, or equivalent experience</li> <li>3–5+ years of experience in network security or security engineering roles</li> <li>Hands-on experience with Cisco ISE and Cisco Firepower (FTD & FMC) technologies</li> <li>Experience supporting enterprise-scale network security environments and NAC solutions</li> <li>Strong understanding of TCP/IP networking, VLANs, routing, switching, and security architectures</li> <li>Experience with VPN technologies, firewall policy management, and security monitoring/log analysis</li> <li>Knowledge of enterprise security best practices, access control frameworks, and incident troubleshooting</li> </ul></p><p></p>

<p><h4>Description</h4> <p>The Network Engineer - Cisco Security is responsible for designing, implementing, and supporting enterprise network security solutions with a primary focus on Cisco Identity Services Engine (ISE) and Cisco Firepower technologies (FTD & FMC). The role involves managing network access control (NAC), authentication services, firewall policies, VPN solutions, and advanced threat protection to ensure secure and reliable enterprise infrastructure operations. The engineer works closely with network, infrastructure, and security teams to deploy and optimize security controls across wired, wireless, and remote access environments. Key responsibilities include configuring Cisco ISE for authentication, authorization, posture assessment, and device profiling, as well as administering Cisco Firepower firewalls, IPS, AMP, and URL filtering features.</p> <p>The role also includes monitoring security infrastructure, troubleshooting complex network security issues, performing system upgrades, and responding to security incidents. Additionally, the engineer is responsible for maintaining security documentation, enforcing organizational security standards, and contributing to continuous improvement initiatives to strengthen the company’s overall security posture. The ideal candidate should possess strong hands-on experience with Cisco security technologies, enterprise networking concepts, and security best practices.</p> <h4>Responsibilities:</h4> <ul> <li><strong>Cisco ISE (Identity Services Engine) Administration</strong></li> <li>Design, deploy, and maintain Cisco ISE solutions for Network Access Control (NAC)</li> <li>Configure and manage AAA services using: <ul> <li>802.1X</li> <li>MAB</li> <li>TACACS+</li> </ul> </li> <li>Manage and support: <ul> <li>Guest access portals</li> <li>BYOD onboarding</li> <li>Posture assessment policies</li> </ul> </li> <li>Integrate Cisco ISE with Active Directory and identity management systems</li> <li>Troubleshoot authentication and authorization issues across wired and wireless environments</li> <li>Define and enforce access control policies based on user roles, device profiling, and security posture</li> <li><strong>Cisco Firepower (FTD & FMC) Management</strong></li> <li>Manage Cisco Firepower (FTD & FMC) environments</li> <li>Firewall policies</li> <li>Site-to-site & remote access VPNs</li> <li>Monitor security features like IPS, AMP, URL filtering</li> <li>Perform upgrades, patching, and security monitoring</li> <li><strong>Security Operations</strong></li> <li>Monitor and troubleshoot network security issues</li> <li>Support incident response and root cause analysis</li> <li>Ensure infrastructure availability and compliance</li> <li><strong>Documentation & Continuous Improvement</strong></li> <li>Maintain documentation of security configurations, policies, and operational procedures</li> <li>Contribute to the development of network security standards and best practices</li> <li>Identify opportunities to improve security posture, operational efficiency, and infrastructure resilience</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in Computer Science, Information Technology, or related field, or equivalent experience</li> <li>3–5+ years of experience in network security or security engineering roles</li> <li>Hands-on experience with Cisco ISE and Cisco Firepower (FTD & FMC) technologies</li> <li>Experience supporting enterprise-scale network security environments and NAC solutions</li> <li>Strong understanding of TCP/IP networking, VLANs, routing, switching, and security architectures</li> <li>Experience with VPN technologies, firewall policy management, and security monitoring/log analysis</li> <li>Knowledge of enterprise security best practices, access control frameworks, and incident troubleshooting</li> </ul></p><p></p>

<p><h4>Description</h4> <p>The Network Engineer - Cisco Security is responsible for designing, implementing, and supporting enterprise network security solutions with a primary focus on Cisco Identity Services Engine (ISE) and Cisco Firepower technologies (FTD & FMC). The role involves managing network access control (NAC), authentication services, firewall policies, VPN solutions, and advanced threat protection to ensure secure and reliable enterprise infrastructure operations. The engineer works closely with network, infrastructure, and security teams to deploy and optimize security controls across wired, wireless, and remote access environments. Key responsibilities include configuring Cisco ISE for authentication, authorization, posture assessment, and device profiling, as well as administering Cisco Firepower firewalls, IPS, AMP, and URL filtering features.</p> <p>The role also includes monitoring security infrastructure, troubleshooting complex network security issues, performing system upgrades, and responding to security incidents. Additionally, the engineer is responsible for maintaining security documentation, enforcing organizational security standards, and contributing to continuous improvement initiatives to strengthen the company’s overall security posture. The ideal candidate should possess strong hands-on experience with Cisco security technologies, enterprise networking concepts, and security best practices.</p> <h4>Responsibilities:</h4> <ul> <li><strong>Cisco ISE (Identity Services Engine) Administration</strong></li> <li>Design, deploy, and maintain Cisco ISE solutions for Network Access Control (NAC)</li> <li>Configure and manage AAA services using: <ul> <li>802.1X</li> <li>MAB</li> <li>TACACS+</li> </ul> </li> <li>Manage and support: <ul> <li>Guest access portals</li> <li>BYOD onboarding</li> <li>Posture assessment policies</li> </ul> </li> <li>Integrate Cisco ISE with Active Directory and identity management systems</li> <li>Troubleshoot authentication and authorization issues across wired and wireless environments</li> <li>Define and enforce access control policies based on user roles, device profiling, and security posture</li> <li><strong>Cisco Firepower (FTD & FMC) Management</strong></li> <li>Manage Cisco Firepower (FTD & FMC) environments</li> <li>Firewall policies</li> <li>Site-to-site & remote access VPNs</li> <li>Monitor security features like IPS, AMP, URL filtering</li> <li>Perform upgrades, patching, and security monitoring</li> <li><strong>Security Operations</strong></li> <li>Monitor and troubleshoot network security issues</li> <li>Support incident response and root cause analysis</li> <li>Ensure infrastructure availability and compliance</li> <li><strong>Documentation & Continuous Improvement</strong></li> <li>Maintain documentation of security configurations, policies, and operational procedures</li> <li>Contribute to the development of network security standards and best practices</li> <li>Identify opportunities to improve security posture, operational efficiency, and infrastructure resilience</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in Computer Science, Information Technology, or related field, or equivalent experience</li> <li>3–5+ years of experience in network security or security engineering roles</li> <li>Hands-on experience with Cisco ISE and Cisco Firepower (FTD & FMC) technologies</li> <li>Experience supporting enterprise-scale network security environments and NAC solutions</li> <li>Strong understanding of TCP/IP networking, VLANs, routing, switching, and security architectures</li> <li>Experience with VPN technologies, firewall policy management, and security monitoring/log analysis</li> <li>Knowledge of enterprise security best practices, access control frameworks, and incident troubleshooting</li> </ul></p><p></p>

<p>We are seeking a talented Machine Learning Engineer to join our data science team. The ideal candidate will be responsible for developing and implementing machine learning models and algorithms that solve complex business problems. You will work closely with data scientists, software engineers, and stakeholders to deliver scalable solutions.</p><ul><li>Design, build, and deploy machine learning models and algorithms.</li><li>Collaborate with data scientists to refine data features and enhance model performance.</li><li>Optimize and improve existing machine learning models for efficiency and accuracy.</li><li>Conduct data preprocessing, feature engineering, and data analysis.</li><li>Monitor and maintain models in production to ensure they operate effectively.</li><li>Document and communicate model designs and performance metrics to stakeholders.</li><li>Stay updated on the latest industry trends and advancements in machine learning and AI.</li><li>Participate in code reviews and contribute to a culture of continuous improvement.</li><li>Perform statistical analysis, and train and retrain systems to optimize performance.</li><li>Familiarity with version control systems (e.g., Git) and CI/CD practices.</li><li>Experience with AI/GenAI.</li><li>Experience with AWS data services (e.g., AWS EMR, AWS Glue, AWS Athena).</li><li>Design/build and deploy API services.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.</li><li>Proven experience as a Machine Learning Engineer or in a similar role.</li><li>Proficiency in programming languages such as Python.</li><li>Experience with machine learning frameworks and libraries (e.g.,AWS BedRock, Amazon SageMaker, TensorFlow, PyTorch, Scikit-learn).</li><li>Strong understanding of algorithms, data structures, and software engineering principles.</li><li>Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and tools for deploying machine learning models.</li><li>Knowledge of data manipulation and analysis tools (e.g., SQL, Pandas, NumPy).</li><li>Excellent problem-solving skills and ability to work collaboratively in a team environment.</li><li>Experience with deep learning and natural language processing (NLP) techniques.</li><li>Understanding of model interpretability and explainability.</li></ul>

<p><h4>Description</h4> <p>About the opportunity<br> 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. This organisation is developing the infrastructure and platforms that enable AI-powered public services at scale. The work spans sovereign model serving, vector infrastructure, retrieval systems, developer tooling, and deployment platforms that support critical government applications. This is a rare opportunity to build foundational AI infrastructure with significant real-world impact, in an environment where performance, reliability, and security are mission-critical.</p> <h4>Role overview</h4> <p>We are seeking a Staff AI Platform Engineer to own the platform infrastructure that enables engineering teams to build and operate AI systems efficiently and reliably. This is a senior individual contributor role focused on model serving, vector infrastructure, data pipelines, observability, and deployment platforms. Your success will be measured by the productivity and reliability gains you enable for other engineers.</p> <p>You will combine deep platform engineering expertise with a strong understanding of AI workload requirements, including inference performance, retrieval systems, and operational complexity.</p> <p>At the staff level, you will:</p> <ul> <li>Define and evolve the technical foundations of the AI platform</li> <li>Build systems that accelerate engineering teams across the organisation</li> <li>Set standards for reliability, security, and scalability</li> <li>Lead architecture decisions and evaluate emerging technologies</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>AI platform infrastructure</strong><br> Design and operate model serving infrastructure using vLLM, TGI, TensorRT-LLM, or similar technologies.<br> Build and manage vector infrastructure, embedding pipelines, and retrieval systems.<br> Develop data pipelines for document ingestion, transformation, and storage.<br> Own deployment platforms, CI/CD pipelines, and infrastructure-as-code.</p> <p><strong>Observability & reliability</strong><br> Build observability across the AI stack, including latency, throughput, and model behavior monitoring.<br> Define SLOs, perform capacity planning, and lead reliability engineering initiatives.<br> Lead incident response, root-cause analysis, and postmortems.<br> Establish platform standards for operational excellence.</p> <p><strong>Force multiplication</strong><br> Build reusable internal tooling, SDKs, and deployment patterns.<br> Partner with engineering teams to translate infrastructure needs into scalable platform capabilities.<br> Mentor engineers and raise technical standards across the organisation.</p> <h4>Basic qualifications</h4> <ul> <li>10+ years of platform, infrastructure, or backend engineering experience</li> <li>Proven experience operating at staff or principal engineer level</li> <li>Deep expertise in Azure (AWS or GCP also valued)</li> <li>Strong Kubernetes and Docker experience</li> <li>Hands-on experience with Terraform, CI/CD pipelines, and infrastructure-as-code</li> <li>Experience building production data pipelines</li> <li>Proficiency in Python, Java/Kotlin, or Go</li> <li>Strong PostgreSQL knowledge at production scale</li> <li>Experience with distributed tracing, metrics, logging, and alerting</li> <li>Practical use of AI coding assistants such as Codex or Claude Code</li> <li>Excellent written and verbal communication skills</li> </ul> <h4>Preferred qualifications</h4> <ul> <li>Experience building RAG systems and retrieval infrastructure</li> <li>Experience with LangGraph, LangChain, Semantic Kernel, or similar frameworks</li> <li>Hands-on experience with GPU-based inference infrastructure</li> <li>Experience with vector databases such as pgvector, Qdrant, Pinecone, or Weaviate</li> <li>Familiarity with LLM inference optimization and evaluation frameworks</li> <li>Experience with speech and conversational AI systems</li> <li>Experience building internal developer platforms</li> <li>Security and compliance experience in highly regulated environments</li> </ul> <h4>Technology stack</h4> <p><strong>Backend & platform:</strong> Python, Java, Kotlin, Go, REST, gRPC<br> <strong>AI infrastructure:</strong> vLLM, TGI, TensorRT-LLM, GPU Serving<br> <strong>AI & LLM:</strong> LangChain, LangGraph, Microsoft Agent Framework, vector databases<br> <strong>Data:</strong> PostgreSQL, Redis, DocumentDB, Azure Blob Storage<br> <strong>Infrastructure:</strong> Azure, Docker, Kubernetes, Terraform, CI/CD<br> <strong>Observability:</strong> Langfuse, Grafana, Prometheus, OpenTelemetry<br> <strong>Security:</strong> Entra ID, RBAC, Secrets Management, Zero Trust<br> <strong>AI development:</strong> Codex, Claude Code, OpenCode</p> <h4>What we’re looking for</h4> <p>You are an engineer who:</p> <ul> <li>Thinks in systems and enables others to move faster</li> <li>Designs infrastructure that is reliable, scalable, and easy to operate</li> <li>Grounds technical decisions in evidence and operational data</li> <li>Raises engineering standards through architecture and mentorship</li> <li>Communicates clearly and transparently</li> <li>Embraces AI-native development practices</li> </ul> <h4>Why apply?</h4> <p>This role offers the opportunity to shape the technical foundations of a world-class AI platform supporting transformative public services in Abu Dhabi. You will tackle complex infrastructure challenges at the intersection of AI, cloud computing, and platform engineering while delivering meaningful impact at a national scale.</p></p><p></p>