وظائف مهندس انظمة مدمجة في الأردن

<strong>Overview</strong> <br> <br> <p> <strong>Working across the globe, V2X builds smart solutions designed to integrate physical and digital infrastructure from base to battlefield. We bring 120 years of successful mission support to improve security, streamline logistics, and enhance readiness. Aligned around a shared purpose, our $3.9B company and 16,000 people work alongside our clients, here and abroad, to tackle their most complex challenges with integrity, respect, responsibility, and professionalism. </strong> </p> <p> </p> <p>As a Vulnerability Analyst working on the Department of Defense (DoD) network, your duties would encompass a wide range of responsibilities aimed at ensuring the security and integrity of sensitive information and systems.</p> <p> </p> <p>Vulnerability Analysts conduct comprehensive assessments of computing systems, networks, and applications to identify and mitigate potential security risks. While leveraging cybersecurity methodologies, analysts analyze vulnerabilities, assess their impact, and collaborate with cross-functional teams to implement effective remediation plans of action with milestones. Seeks to protect and defend information and information systems by ensuring data confidentiality and integrity with non-repudiation, authentication, and availability of data and technology through assessments of control frameworks.</p> <p> </p> <p>Vulnerability Analysts strategically plan, coordinate, scan, analyze, and report compliance of the Department of Defense Information Network (DoDIN) to its Cybersecurity Services customers on the SWA regional and theater level. Program: OMDAC-SWACA</p> <p> </p> <p> <strong>This position offers company-paid housing and transportation, a completion bonus and tuition reimbursement program!</strong> </p> <p> </p> <p> <strong> <em>You must satisfy all host country requirements to legally work in the host country to include but not limited to the ability to obtain and maintain a host nation visa and host nation driver s license in order to be qualified for this position.</em> </strong> </p> <br> <strong>Responsibilities</strong> <br> <br> <ul> <li>Conduct regular security assessments and audits of information systems with the DoD SWA network.</li> <li>Develop and implement action plans to manage common vulnerabilities and exposures.</li> <li>Design report templates for daily use and distribution to customers and subordinate personnel to maintain at minimum a 95% overall vulnerability compliancy rating.</li> <li>Monitor Information Assurance Security Alerts &amp; Bulletins to detect and ensure rapid initial response to any cybersecurity related incident or event that could cause harm to the SWA AOR of the DoDIN.</li> <li>Maintain cross-communication with other cybersecurity division (e.g. IDS/IPS &amp; ArcSight) to discover attempts to exploit known and zero-day vulnerabilities.</li> <li>Recommend improvements to the overall cybersecurity posture.</li> <li>Possess the ability to communicate effectively with management and upper echelon military personnel to ensure information is disseminated timely and efficiently.</li> <li>Maintain working knowledge of vulnerability management systems (Tenable &amp; Nessus) Provides technical and operational support to functional end users of vulnerability tools (e.g. Assured Compliance Assessment Solution) ACAS and TYCHON.</li> <li>Prepares vulnerability scanning reports to submit to commanders and higher headquarters. Interfaces with the IAVM Manager and ISSO regarding vulnerability and remediation issues.</li> <li>Additional requirements may vary depending upon location.</li> <li>Performs other duties and assignments as required.</li> </ul> <br> <strong>Qualifications</strong> <br> <br> <ul> <li> <strong>Qualifications</strong> </li> <li> <strong>Security Clearance: </strong> <ul> <li>Requires an active Secret Clearance</li> </ul> </li> <li> <strong>Education / Certifications:</strong> <em>One-year related experience can be substituted for one year of education if the degree is required.</em> <ul> <li>Bachelor s Degree or equivalent experience preferably in Computer Science or MIS, IS, Engineering or related field.</li> <li>This position requires candidates to adhere to DoD 8570.01M. All candidates are required to maintain at least one (1) baseline certification and one (1) computing environment (CE) certification. Baseline certifications cannot also be used as a Computing Environment (CE) certification.</li> <li>The authorized certifications for this job title are listed as follows:</li> </ul> </li> <li> <strong>BASELINE:</strong> <ul> <li>Cisco: CCNP: Certified Network Professional - Security</li> <li>CompTIA: CASP+ ce: Advanced Security Practitioner (ended 17 Dec 2024)</li> <li>CompTIA: SecurityX ce</li> <li>GIAC: GCED: Certified Enterprise Defender</li> <li>GIAC: GCIH: Certified Incident Handler</li> <li>ISACA: CISA: Certified Information Systems Auditor</li> <li>ISC2: CCSP: Certified Cloud Security Professional</li> <li>ISC2: CISSP (or Associate): Certified Information Systems Security Professional</li> </ul> </li> <li> <strong>COMPUTING ENVIRONMENT (CE)</strong>:<ul> <li>Cisco: CCIE: Certified Internetwork Expert (<strong>Any</strong>)</li> <li>Cisco: CCNP: Certified Network Professional (<strong>Any</strong>)</li> <li>DISA: ACAS: Assured Compliance Assessment Solution 5.3 (<strong>or current version</strong>)</li> <li>EC Council: CEH: Certified Ethical Hacker</li> <li>EC Council: ECIH: Certified Incident Handler</li> <li>EC-Council: CHFI: Certified Hacking Forensic Investigator</li> <li>EC-Council: CND: Certified Network Defender</li> <li>GIAC: GCIH: Certified Incident Handler</li> <li>Microsoft: 365 Certified: Enterprise Administrator Expert</li> <li>Microsoft: Certified: Azure Associate (<strong>Any</strong>)</li> <li>Microsoft: Certified: Azure Expert (<strong>Any</strong>)</li> <li>Microsoft: MCSA: Cloud Platform</li> <li>Microsoft: MCSA: Windows Server 2016</li> <li>Microsoft: MCSE: (<strong>Any above 2012</strong>)</li> <li>Microsoft: MCSE: Cloud Platform and Infrastructure</li> <li>Microsoft: MCSE: Data Management and Analytics</li> <li>Microsoft: MCSE: Productivity Solutions Expert</li> <li>Red Hat: RHCA: Certified Architect</li> <li>Red Hat: RHCE: Certified Engineer</li> <li>Red Hat: RHSA: Certified Systems Administrator</li></ul></li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>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. 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><p>Responsibilities:</p><p>1. Platform Architecture &amp; Engineering Leadership:</p><ul><li>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</li><li>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</li><li>Own the Unity Catalog governance model, RBAC, lineage, business glossary, and metric definitions, as the platform-enforced foundation for trusted data</li><li>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</li><li>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</li><li>Own data platform observability and operational excellence, pipeline reliability, SLA adherence, incident response, and data quality monitoring</li></ul><p>2. Delivery &amp; Data Products:</p><ul><li>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</li><li>Set and enforce delivery standards: sprint cadence, code review, documentation, testing, validation, and release management practices that govern all team output</li><li>Define and own data SLAs to the business, pipeline refresh frequency, availability, and incident response commitments, and ensure delivery is held against them</li><li>Own the data integration roadmap, prioritising ingestion of new source systems into the lake in alignment with business demand and platform readiness</li><li>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</li><li>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</li><li>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</li></ul><p>3. Data Governance &amp; Quality:</p><ul><li>Design and operate the data governance operating model, data ownership, stewardship, quality standards, business glossary, and metric definitions</li><li>Embed data quality gates into Medallion layer promotion, making quality a precondition of Bronze-to-Gold progression, with measurable thresholds and clear remediation paths</li><li>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</li><li>Lead the technical evaluation, selection, and implementation of enterprise data catalogue tooling, including integration with Unity Catalog and the platform metadata layer</li><li>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</li><li>Establish data quality measurement as a managed practice, KPIs, dashboards, periodic review, and accountability with data owners</li><li>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</li></ul><p>4. Team Leadership &amp; Capability Development:</p><ul><li>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</li><li>Define and evolve the role design, skills profile, and career framework for the team within the broader Data &amp; AI CoE structure</li><li>Set the team's performance culture: clear ownership, high engineering standards, fast feedback, continuous learning, and documentation as a team discipline</li><li>Coach and develop team members directly, identifying high-potential individuals, investing in their technical and leadership growth, and building bench strength across roles</li><li>Manage team capacity and allocation across the platform roadmap and business delivery demand, ensuring focus stays on high-value work aligned to strategic priorities</li><li>Set the engineering craft culture, code review, design review, pairing, and shared technical standards, that lifts the technical quality of all team output</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or related discipline</p><p>Master's degree in Data Science, Computer Science, Business Administration, or related field is preferred</p><p>Relevant certifications in cloud data platforms (e.g., Azure Data Engineer, Databricks Certified Data Engineer Professional) are preferred</p><p>Minimum 10 years of progressive experience in data engineering, data platform, or enterprise analytics roles</p><p>Minimum 5 years in a senior leadership role with direct team management accountability, hiring, developing, and performance managing a multi-disciplinary technical team</p><p>Proven hands-on production experience with Databricks (Delta Lake, Unity Catalog) and Azure data services at platform-design and engineering-lead level</p><p>Proven track record building or substantially remediating a cloud-native data platform in a complex, multi-source enterprise environment</p><p>Experience with Medallion/lakehouse architecture patterns in production</p><p>Experience designing data products and platform capabilities for AI/ML consumption, including Feature Store design, training dataset engineering, and ML data lineage is preferred</p><p>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</p><p>Experience leading a data governance or catalogue implementation, from design through to business adoption</p><p>Life sciences, pharmaceutical, or other regulated industry experience is preferred</p><p>Skills :</p><p>Technical Competencies:</p><ul><li>Data Platform Architecture</li><li>Data Engineering, Pipeline Design &amp; CDC Patterns</li><li>Data Modelling, Transformation &amp; Engineering Standards</li><li>Data Governance, Quality &amp; Catalogue</li><li>Analytics &amp; BI Delivery</li><li>MLOps &amp; ML Platform Foundations</li><li>Delivery Management &amp; Agile Methods</li></ul><p>Platform &amp; Technical Skills:</p><ul><li>Deep practical expertise in Azure data services: ADLS Gen2, Azure Data Factory, Azure DevOps</li><li>Hands-on production experience with Databricks, Delta Lake, notebooks, Unity Catalog, MLflow</li><li>Strong understanding of incremental load and CDC patterns across enterprise source systems (SAP, Veeva, SuccessFactors, and similar)</li><li>Power BI at the semantic layer level, understanding how the semantic layer should be designed for enterprise scale</li><li>CI/CD for data pipelines, practical implementation at production scale</li><li>Data quality frameworks, profiling, expectation testing, alerting, and remediation workflows</li><li>Working knowledge of modern data governance tooling: Unity Catalog, Collibra, Purview, or DataHub</li></ul><p>Leadership &amp; Business Skills:</p><ul><li>Credible with both technical teams and senior business stakeholders</li><li>Strong delivery discipline, owns commitments, communicates risks early, and sizes work realistically</li><li>Structured thinker, able to take a complex current state and produce a clear, prioritised, sequenced roadmap</li><li>Strong written and verbal communication in English; Arabic proficiency valued</li><li>Cultural intelligence for working effectively across MENA, US, and Europe</li></ul><p></p></section>

<p><h4>About the company</h4> <p>The company is a multinational IT consulting and digital transformation solutions provider, supporting government entities, telecom operators, and enterprise clients across the Middle East. It specializes in helping organizations modernize operations, improve collaboration, and deliver scalable technology initiatives through consulting, implementation, integration, managed services, and training.</p> <p>With strong expertise across enterprise digital transformation, DevOps, IT service management, enterprise service management, and collaboration platforms, the company partners with leading technology vendors to deliver practical, measurable, and enterprise-ready solutions.</p> <h4>About the role</h4> <p>We are looking for a senior product designer with strong experience designing intuitive, user-centric web and mobile applications, with the ability to work seamlessly across both LTR and RTL layouts.</p> <p>The ideal candidate will have a proven track record in UX/UI design, supported by a strong portfolio that demonstrates the ability to turn complex product requirements into clean, functional, and engaging user experiences. They should be able to brainstorm fresh ideas, proactively recommend best-practice user flows, and bring a senior-level product mindset to each stage of the design process.</p> <p>You should be confident working across the full design lifecycle, from research and discovery through to wireframing, prototyping, user flows, usability testing, and design iteration. Strong hands-on experience with tools such as Figma, Sketch, Adobe XD, or similar design platforms is expected, along with experience owning, maintaining, and scaling design systems across digital products.</p> <p>This role requires someone who can understand user needs, translate feedback into practical design improvements, and adapt quickly as product requirements evolve. A strong understanding of UX research, usability testing, accessible design, and inclusive design principles is essential. The successful candidate must be exceptionally detail-oriented, able to manage time effectively, work autonomously, and remain comfortable collaborating remotely with distributed teams.</p> <h4>Requirements</h4> <ul> <li>6+ years of experience in UI/UX engineering including product designing</li> <li>Senior-level experience with the ability to work autonomously and comfortably in a remote setup</li> <li>Proven experience in UX/UI design for web and mobile applications</li> <li>Ability to design seamlessly for both LTR and RTL layouts</li> <li>Strong portfolio showcasing user-centric product design</li> <li>Expertise in Figma, Sketch, Adobe XD, or similar tools</li> <li>Experience owning, maintaining, and scaling design systems</li> <li>Ability to create wireframes, prototypes, user journeys, and user flows</li> <li>Strong ability to brainstorm fresh ideas and proactively recommend best-practice user flows</li> <li>Strong understanding of UX research and usability testing</li> <li>Experience working with iterative design methodologies</li> <li>Exceptionally detail-oriented with excellent time management skills</li> <li>Ability to synthesize feedback and adapt designs quickly</li> <li>Familiarity with accessible and inclusive design principles</li> </ul> <h4>Benefits</h4> <ul> <li>Direct exposure to cutting-edge enterprise AI projects across UAE and GCC</li> <li>Flat team structure - work directly with founders and senior engineers</li> <li>Opportunity to grow into a senior or lead engineer role</li> <li>Flexible remote work arrangements</li> <li>Fast-paced environment where your work ships to production and reaches real clients</li> </ul></p><p></p>

<p><h4>About the company</h4> <p>The company is a multinational IT consulting and digital transformation solutions provider, supporting government entities, telecom operators, and enterprise clients across the Middle East. It specializes in helping organizations modernize operations, improve collaboration, and deliver scalable technology initiatives through consulting, implementation, integration, managed services, and training.</p> <p>With strong expertise across enterprise digital transformation, DevOps, IT service management, enterprise service management, and collaboration platforms, the company partners with leading technology vendors to deliver practical, measurable, and enterprise-ready solutions.</p> <h4>About the role</h4> <p>We are looking for a senior product designer with strong experience designing intuitive, user-centric web and mobile applications, with the ability to work seamlessly across both LTR and RTL layouts.</p> <p>The ideal candidate will have a proven track record in UX/UI design, supported by a strong portfolio that demonstrates the ability to turn complex product requirements into clean, functional, and engaging user experiences. They should be able to brainstorm fresh ideas, proactively recommend best-practice user flows, and bring a senior-level product mindset to each stage of the design process.</p> <p>You should be confident working across the full design lifecycle, from research and discovery through to wireframing, prototyping, user flows, usability testing, and design iteration. Strong hands-on experience with tools such as Figma, Sketch, Adobe XD, or similar design platforms is expected, along with experience owning, maintaining, and scaling design systems across digital products.</p> <p>This role requires someone who can understand user needs, translate feedback into practical design improvements, and adapt quickly as product requirements evolve. A strong understanding of UX research, usability testing, accessible design, and inclusive design principles is essential. The successful candidate must be exceptionally detail-oriented, able to manage time effectively, work autonomously, and remain comfortable collaborating remotely with distributed teams.</p> <h4>Requirements</h4> <ul> <li>6+ years of experience in UI/UX engineering including product designing</li> <li>Senior-level experience with the ability to work autonomously and comfortably in a remote setup</li> <li>Proven experience in UX/UI design for web and mobile applications</li> <li>Ability to design seamlessly for both LTR and RTL layouts</li> <li>Strong portfolio showcasing user-centric product design</li> <li>Expertise in Figma, Sketch, Adobe XD, or similar tools</li> <li>Experience owning, maintaining, and scaling design systems</li> <li>Ability to create wireframes, prototypes, user journeys, and user flows</li> <li>Strong ability to brainstorm fresh ideas and proactively recommend best-practice user flows</li> <li>Strong understanding of UX research and usability testing</li> <li>Experience working with iterative design methodologies</li> <li>Exceptionally detail-oriented with excellent time management skills</li> <li>Ability to synthesize feedback and adapt designs quickly</li> <li>Familiarity with accessible and inclusive design principles</li> </ul> <h4>Benefits</h4> <ul> <li>Direct exposure to cutting-edge enterprise AI projects across UAE and GCC</li> <li>Flat team structure - work directly with founders and senior engineers</li> <li>Opportunity to grow into a senior or lead engineer role</li> <li>Flexible remote work arrangements</li> <li>Fast-paced environment where your work ships to production and reaches real clients</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Result of Service<br>Successful support for the implementation and delivery of the FMIS project, including: • High-quality business requirements documentation. • Support for solution design and implementation activities. • Coordination with stakeholders and technical teams. • Support for testing, UAT, and training activities. • Delivery of project documentation and reporting. • Support for successful project deployment and stabilization.<br> Work Location<br>HQA and open for remote consultancy in the UNRWA fields of operations<br> Expected duration<br>7 months<br> Duties and Responsibilities<br>Specific Outputs/Tasks include but not limited to: · Build and maintain FMIS application modules using ASP.NET/.NET Core and related Microsoft technologies. · Develop and maintain organizational hierarchy, premises management, projects management, dashboards, reporting, and GIS-related modules. · Develop backend services, APIs, and integrations with internal and external systems. · Provide daily technical support and analyze business/system requirements. · Conduct bug fixing, troubleshooting, optimization, and quality assurance activities. · Review code and ensure application security, performance, and compliance with UNRWA standards. · Support deployment, UAT, production releases, and post-go-live stabilization activities. · Prepare technical documentation, deployment guides, and user manuals. · Deliver regular progress updates and backlog tracking reports. · Participate in Agile/Scrum ceremonies and collaborate with project stakeholders throughout the implementation lifecycle.<br> Qualifications/special skills<br>University degree from accredited educational institution in Information Technology, Computer Science, Software Engineering, or related fdiscipline. · Minimum 4 years of experience in web application development using ASP.NET/.NET Core and MS SQL Server. · Experience in enterprise application development and implementation. · Experience developing APIs and integrations. · Experience in ASP.NET MVC, .NET Framework/.NET Core, C#, JavaScript, HTML, CSS, and related technologies. · Experience with relational databases and SQL Server. · Experience in troubleshooting, debugging, and performance optimization. · Familiarity with deployment environments and DevOps practices is desirable. · Experience with GIS integrations and dashboards is an asset.<br> Languages<br>English and Arabic are the working languages of UNRWA. For this assignment, fluency in both Arabic and English are required.<br> Additional Information<br>CONDITIONS OF SERVICE • The consultancy is based in UNRWA HQA Amman with possibility for remote consultancy in the fields of UNRWA operations. • The selected candidate will receive a monthly remuneration that is amounting to JOD 996.42 or equivalent in USD for every fully completed month. • The duration of the Contract is 7 months, and the possibility of extension is subject to the availability of funds, continuing need and satisfactory performance. • As part of Digital Impact, Technology and Innovation Department (DITID)and digital workspace the role reports to the software engineer and works under the overall supervision of the Head Software Development Section &amp; Lead Solution Architecture.<br> No Fee<br>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.<br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Syarah is on a mission to transform the way people buy cars in Saudi Arabia and the Middle East.<br> We offer customers an end-to-end digital car buying experience, allowing them to purchase their next vehicle from the comfort of their homes.<br> Behind the scenes, we build and operate systems that manage vehicle sourcing, inspection, photography, merchandising, reconditioning, financing, insurance, shipping, and much more.<br> Our goal is to make car buying a seamless, transparent, and enjoyable experience.<br> We are looking for a mid-level Product Designer to join our Product team.<br> The ideal candidate is passionate about designing intuitive digital experiences and enjoys working closely with Product Managers and Engineers to transform business requirements into high-quality customer experiences.<br> This role is ideal for someone who is hands-on, collaborative, data-informed, and eager to continuously improve products through design, experimentation, and customer feedback.<br> All Syarah employees are expected to work in accordance with Syarah's core values: Tolerance, Transparency, Respect, Integrity, and Positivity.<br> Key Responsibilities Design user-centered experiences across web and mobile products.<br> Create user flows, wireframes, mockups, and interactive prototypes using Figma.<br> Collaborate closely with Product Managers and Engineers throughout the product development lifecycle.<br> Translate business requirements into simple, scalable, and intuitive design solutions.<br> Contribute to and maintain the company's design system.<br> Continuously improve existing experiences based on customer feedback, usability findings, and product performance.<br> Participate in design reviews and collaborate with cross-functional teams to deliver high-quality user experiences.<br> 3–5 years of experience in Product Design, UX/UI Design, or a similar role.<br> Strong portfolio demonstrating end-to-end product design work.<br> Advanced proficiency with Figma.<br> Experience designing responsive web and mobile applications.<br> Strong understanding of UX principles, interaction design, and visual design.<br> Excellent communication and collaboration skills.<br> Ability to manage multiple design tasks in a fast-paced Agile environment.<br> A product mindset with the ability to balance user needs and business objectives.<br> Familiarity with product analytics tools (such as Mixpanel, GA4, Amplitude, or similar) to understand user behavior, identify friction points, and support design decisions with data.<br> Basic understanding of experimentation and A/B testing, with the ability to collaborate on validating design improvements through measurable outcomes.<br> Nice to Have Experience working on e-commerce or marketplace products.<br> Experience contributing to or maintaining design systems.<br> Familiarity with usability testing and customer interviews.<br> Understanding of accessibility best practices.<br> Experience working in cross-functional Product teams using Agile methodologies.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><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> <p>We are seeking an experienced Senior Software Engineer to join our engineering teams and lead the development of innovative software solutions. As a Senior Software Engineer, you will be instrumental in transforming high-level architecture into detailed technical designs, building scalable applications, and mentoring team members. You will work on critical parts of our technology stack, designing, building, and releasing applications and systems that enhance how our customers learn and engage with our educational and professional platforms.</p> <p> </p> <p>Your primary responsibility is to work as a Frontend Engineer, specializing in building responsive, high-performance user interfaces using React, JavaScript, and HTML. You will collaborate closely with design and backend teams to deliver intuitive, scalable, and visually appealing web applications that provide an exceptional user experience.</p> <p> </p> <p> <b>How You Will Make an Impact</b> </p> <p>As a Senior Software Engineer, you will operate in critical parts of our technology stack, designing, building, and releasing applications and systems that improve customer learning and engagement experiences. You will work on multi-skilled teams building scalable, robust systems while discovering and implementing new and improved technologies to solve complex problems.</p> <p> </p> <p>You will take ownership of services, customer experience, and team responsibilities with a full-cycle, full-stack approach. Your role involves test-driven development with continuous integration and deployment into production environments. You will work in multidisciplinary environments collaborating with data engineering, data science, product, SRE, and other specialized teams.</p> <p> </p> <p>As a technical leader, you will create low-level technical designs based on high-level architecture and ensure your team thoroughly understands these designs. You will determine and manage code repository structure and branching strategies while conducting rigorous code reviews to maintain high coding standards.</p> <p> </p> <p> <b>Skills and Qualifications</b> </p> <p> <b>Advanced Technical Leadership:</b> </p> <ul> <li>6+ years of hands-on development experience</li> <li>Proven experience as a technical lead</li> <li>Expert-level proficiency in software architecture and system design</li> <li>Advanced knowledge of design patterns and best practices</li> <li>Experience mentoring and coaching junior team members<br> </li> </ul> <p> <b>Core Technology Stack:</b> </p> <ul> <li>Advanced proficiency in Java development</li> <li>Expert understanding of object-oriented principles and software design</li> <li>Extensive experience with web APIs (REST/GraphQL)</li> <li>Advanced knowledge of cloud services, particularly AWS</li> <li>Expert-level experience with microservices architecture, Kubernetes and Docker</li> <li>Comprehensive database experience (Entity Framework, Postgres SQL, DynamoDB, NoSQL databases)</li> <li>Familiarity with writing unit tests such as JUnit, Mockito, etc.</li> <li>Hands-on experience using Spring boot.<br> </li> </ul> <p> <b>Full-Stack Development:</b> </p> <ul> <li>Expert proficiency in JavaScript, React.</li> <li>Expert proficiency HTML, CSS, and web technologies</li> <li>Experience with TypeScript, NPM/Yarn package management</li> <li>Advanced experience with modern frameworks and libraries</li> <li>Strong knowledge of SQL (MySQL) and NoSQL databases (DynamoDB, Elasticsearch, Redis)</li> <li>Experience with developing cloud-native applications</li> <li>Knowledge of containerization and orchestration technologies</li> <li>Expert in messaging queues such as Apache Kafka, JMS, and related technologies.<br> </li> </ul> <p> <b>AI Proficiency &amp; Collaboration</b> </p> <p>Candidates are expected to demonstrate proficiency in leveraging AI tools to enhance software development productivity and quality. This includes:</p> <ul> <li> <b>Code Generation &amp; Enhancement</b>: Using AI tools (e.g., GitHub Copilot, Cursor) to assist in writing, refactoring, and optimizing code.</li> <li> <b>Debugging &amp; Tracing</b>: Collaborating with AI to identify bugs, trace logic errors, and propose fixes.</li> <li> <b>Brainstorming Solutions</b>: Engaging AI in ideation and architectural discussions to explore alternative approaches and design patterns.</li> <li> <b>Challenging AI Suggestions</b>: Critically evaluating AI-generated code, identifying limitations, and improving upon its output.</li> <li> <b>Reviewing AI Output</b>: Ensuring AI-generated code meets quality, performance, and security standards through thorough review and testing.<br> </li> </ul> <p> <b>Leadership and Development Practices:</b> </p> <ul> <li>Advanced experience with Agile methodologies and DevOps practices</li> <li>Expertise in establishing and coordinating test strategies</li> <li>Experience with test automation frameworks and continuous integration</li> <li>Advanced knowledge of software quality assurance lifecycle</li> <li>Experience with automated UI and functional test development</li> <li>Proficiency in Linux operating systems and testing frameworks (JUnit, TestNG, Mockito)<br> </li> </ul> <p> <b>Professional Expertise:</b> </p> <ul> <li>Strong oral and written communication and organizational skills</li> <li>Team player who enjoys exchanging ideas and collaborative code development</li> <li>Proven ability to write clean, maintainable software</li> <li>Experience with RESTful APIs and Web Services coding + testing</li> <li>Ability to troubleshoot complex issues in systems under test</li> <li>Experience working with vendors and managing technical discussions</li> </ul> <p> <b>Experience Requirements:</b> </p> <ul> <li>Bachelor's degree in Computer Science or equivalent</li> <li>4-6+ years of experience as a Senior Software Engineer or technical lead</li> <li>Advanced experience in test automation engineering (for QA-focused roles)</li> <li>Proven track record of delivering high-quality software solutions</li> <li>Experience leading technical initiatives and driving innovation</li> </ul> <p> </p> <p> </p> <p><br></p></div></section>

<p><br></p> <p> </p> <p> <b>About the Role:</b> </p> <p> </p> <div> <div> <p>Wiley is seeking a talented <b>Senior 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 role is ideal for an experienced engineer who enjoys solving complex challenges related to search relevance, performance, scalability, and reliability within large-scale distributed systems.</p> <p> </p> <p>As a senior member of the team, you will take ownership of technical solutions from design through delivery, contribute to architectural decisions, mentor peers through collaboration and code reviews, and help drive engineering best practices.</p> </div> <p> <br>As a Senior 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>Participate in 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>Take ownership of features and systems throughout their lifecycle, from design and implementation to deployment and ongoing support.</li> <li>Work independently while demonstrating a proactive, self-driven approach to identifying and implementing improvements.</li> <li>Collaborate effectively with cross-functional teams and colleagues across multiple regions and time zones.</li> <li>Contribute to the continuous improvement of engineering practices, platform capabilities, and team effectiveness.<br> </li> </ul><b> What We Look For Required Qualifications </b><ul> <li>Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.</li> <li>5+ years of professional software development experience.</li> <li>Professional experience developing applications using <b>Java</b>, with a strong understanding of object-oriented programming principles, data structures, software design patterns, and engineering best practices.</li> <li>Experience designing and building <b>RESTful APIs</b> and backend services.</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, troubleshooting, and problem-solving skills.</li> <li>Excellent verbal and written communication skills in English.</li> <li>Ability to work independently while contributing effectively within a distributed team environment.<br> </li> </ul> Preferred Qualifications <ul> <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><br></li></ul></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Senior Systems Engineer – Microsoft Infrastructure About the Role We are seeking a highly skilled and customer-focused Senior Systems Engineer to join our Microsoft Infrastructure team.<br> The successful candidate will be responsible for designing, implementing, and delivering enterprise-grade solutions for our customers while providing expert-level troubleshooting and technical support for complex infrastructure environments.<br> This role requires strong technical expertise, excellent communication skills, and a passion for mentoring junior engineers.<br> The Senior Systems Engineer will work closely with customers to understand their business requirements, architect appropriate solutions, and ensure successful project delivery.<br> Key Responsibilities Design, implement, and deliver enterprise infrastructure projects for enterprise customers.<br> Lead technical engagements and provide expert guidance throughout the project lifecycle.<br> Troubleshoot and resolve complex technical issues across Microsoft infrastructure technologies.<br> Build, present, and clearly articulate technical solutions that address customer business and technical requirements.<br> Collaborate with customers, project managers, and internal teams to ensure successful project execution.<br> Lead, mentor, and support junior engineers by sharing knowledge, providing technical guidance, and promoting professional growth.<br> Drive knowledge-sharing initiatives and encourage the adoption of best practices across the team.<br> Identify technical risks and challenges proactively and implement effective mitigation strategies.<br> Communicate complex technical concepts effectively to both technical and non-technical stakeholders.<br> Stay up to date with emerging Microsoft technologies and industry trends to continuously enhance service offerings.<br> Maintain high standards of quality, professionalism, and customer satisfaction.<br> Education Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field.<br> Experience Minimum of 4 years of hands-on experience in a customer-facing enterprise IT environment.<br> Proven experience delivering enterprise infrastructure projects and supporting enterprise customers.<br> Technical Skills Strong knowledge and hands-on experience with: Active Directory Microsoft Exchange Server Hyper-V Windows Server Microsoft SQL Server Microsoft System Center Products Microsoft Azure Microsoft Entra ID Microsoft 365 Microsoft Defender Microsoft Intune Microsoft Purview Required Competencies Strong troubleshooting and problem-solving skills.<br> Excellent communication and presentation skills.<br> Ability to work independently and as part of a team.<br> Strong customer service and stakeholder management skills.<br> Experience mentoring and coaching junior engineers.<br> Ability to manage multiple priorities in a fast-paced environment</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and platforms that enable data-driven decision-making across the organization. The ideal candidate will have strong backend data engineering expertise and exposure to modern big data and AI-driven ecosystems.</p><p>Responsibilities:</p><ul><li>Design, develop, and optimize scalable data pipelines using Python or Java.</li><li>Build and maintain ETL/ELT frameworks using Apache Spark (Batch &amp; Streaming).</li><li>Write advanced SQL queries for data transformation, validation, and analytics.</li><li>Develop APIs to share data with other services.</li><li>Integrate data from multiple structured and unstructured sources.</li><li>Collaborate with Data Scientists, Analysts, and Product teams to support analytics and ML use cases.</li><li>Implement data validation, logging, and error-handling mechanisms.</li><li>Optimize pipeline performance and manage large-scale datasets.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or related field.</li><li>5+ years of hands-on experience in Data Engineering or Big Data development.</li><li>Strong programming experience in Python and/or Java And scala.</li><li>Hands-on expertise with Apache Spark (Batch &amp; Streaming).</li><li>Experience with scripting (Python, Bash, Shell).</li><li>API (Python, Java) Development skills.</li><li>Understanding of distributed systems and big data architectures.</li><li>Good knowledge in AWS services (S3, RDS, Redshift, Glue, EMR, Athena, Lambda, etc.).</li><li>Strong experience in data modeling and data warehousing.</li><li>Hands-on experience with batch and streaming data processing, and workflow orchestration tools such as Apache Airflow.</li><li>Experience in API and data integration, with exposure to GenAI integrations (LLMs, LangChain) considered a plus.</li><li>Strong problem-solving and analytical skills and ability to work in a fast paced environment.</li><li>Excellent communication and documentation skills.</li></ul><p></p></section>

<p><h4>Description</h4> <p>The Junior Quality Control Engineer supports the QA team by executing tests, reporting bugs, and assisting in the preparation of test documentation under the supervision of senior QC engineers. This entry-level position is ideal for candidates passionate about quality assurance and eager to learn and grow within the field. The Junior QC Engineer typically reports to a senior or mid-level QC engineer or the QA Lead.</p> <h4>Key responsibilities:</h4> <ul> <li>Execute test cases as per test plans including functional, regression, and integration tests.</li> <li>Report and document defects clearly and track their resolution using bug tracking tools like DevOps.</li> <li>Assist in creating and maintaining test documentation.</li> <li>Participate in team meetings and collaborate with developers and other members of the QC team.</li> <li>Learn automation tools and assist in developing simple automation scripts.</li> <li>Conduct basic API and performance testing with guidance.</li> <li>Support static testing activities and assist in user acceptance testing (UAT).</li> <li>Continuously learn and improve testing skills following best practices and company procedures.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in engineering, computer science, information technology, or related field.</li> <li>Basic understanding of software testing concepts and methodologies.</li> <li>Familiarity with testing tools and bug tracking systems such as DevOps or Jira is a plus.</li> <li>Strong analytical and problem-solving skills.</li> <li>Eagerness to learn automation tools and scripting languages.</li> <li>Good communication skills and ability to work well within a team.</li> <li>Basic knowledge of SQL and ability to execute simple queries.</li> <li>Attention to detail and strong commitment to quality.</li> <li>Ability to multitask and manage time effectively in a fast-paced environment.</li> <li>Proficient in written and spoken English.</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Training & development</li> </ul></p><p></p>

<p><h4>Description</h4> <p>The Junior Quality Control Engineer supports the QA team by executing tests, reporting bugs, and assisting in the preparation of test documentation under the supervision of senior QC engineers. This entry-level position is ideal for candidates passionate about quality assurance and eager to learn and grow within the field. The Junior QC Engineer typically reports to a senior or mid-level QC engineer or the QA Lead.</p> <h4>Key responsibilities:</h4> <ul> <li>Execute test cases as per test plans including functional, regression, and integration tests.</li> <li>Report and document defects clearly and track their resolution using bug tracking tools like DevOps.</li> <li>Assist in creating and maintaining test documentation.</li> <li>Participate in team meetings and collaborate with developers and other members of the QC team.</li> <li>Learn automation tools and assist in developing simple automation scripts.</li> <li>Conduct basic API and performance testing with guidance.</li> <li>Support static testing activities and assist in user acceptance testing (UAT).</li> <li>Continuously learn and improve testing skills following best practices and company procedures.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in engineering, computer science, information technology, or related field.</li> <li>Basic understanding of software testing concepts and methodologies.</li> <li>Familiarity with testing tools and bug tracking systems such as DevOps or Jira is a plus.</li> <li>Strong analytical and problem-solving skills.</li> <li>Eagerness to learn automation tools and scripting languages.</li> <li>Good communication skills and ability to work well within a team.</li> <li>Basic knowledge of SQL and ability to execute simple queries.</li> <li>Attention to detail and strong commitment to quality.</li> <li>Ability to multitask and manage time effectively in a fast-paced environment.</li> <li>Proficient in written and spoken English.</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Training & development</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span> <strong><span>1. JOB DETAILS:</span></strong> <br> <span>Job Title:</span> <span>Analyst, ML Engineer </span> <br> <span>Reports to:</span> <span>Sr. Manager, IT Digital Platforms &amp; Digital Transformation</span> <br> <span>Department:</span> <span>IT Applications </span> <br> <span>Function:</span> <span>IT Applications</span> <br> <span>Company:</span> <span>Hikma Holding</span> <br> <strong><span>2. JOB PURPOSE:</span></strong> <br> </span><p><span>The ML Engineer is responsible for supporting the development, testing, and deployment of machine learning models and AI-powered pipelines across Hikma Pharmaceuticals. Working as part of the AI team under the Sr. Manager, IT Digital Platforms &amp; Digital Transformation, and under the close guidance of the AI Architect and AI developers’ team, this role provides hands-on ML engineering support across the solution lifecycle — from data preparation and model experimentation through to deployment and monitoring. The ML Engineer is expected to develop their machine learning and data engineering skills rapidly within a structured team environment, contributing to Hikma's enterprise AI transformation while building foundational expertise in regulated pharmaceutical AI delivery.</span></p><br> <br> <strong><span>3. JOB DIMENSIONS:</span></strong> <br> <p><span>Number of Staff Supervised:</span></p><br> <p><span>Direct Reports Count:</span></p><br> <p><span>0 (0 vacant)</span></p><br> <br> <p><span>Indirect Reports Count:</span></p><br> <p><span>N/A</span></p><br> <br> <p><span>Financial Budget (USD):</span></p><br> <p><span>Supports AI initiative delivery under team supervision</span></p><br> <br> <p><span>4. KEY ACCOUNTABILITIES:</span></p><br> <br> <p><span>Description</span></p><br> <br> <p><strong><span>ML Model Development &amp; Experimentation</span></strong></p><br> <br> <ul> <li><span>Support the development, training, and evaluation of machine learning models under the guidance of the AI Architect and senior team members, following approved architecture standards and initiative briefs</span></li> <li><span>Assist in ML experimentation activities including data exploration, feature engineering, model selection, and performance evaluation using standard frameworks and cloud AI services</span></li> <li><span>Apply foundational ML techniques across classical machine learning, NLP, and generative AI domains relevant to Hikma's business areas including Supply Chain, Quality, HR, and Commercial</span></li> <li><span>Support the implementation of LLM-based solutions including RAG pipelines, prompt engineering, and embedding-based retrieval under senior technical guidance</span></li> <li><span>Maintain experiment tracking logs, model versioning records, and reproducibility documentation using tools such as ML flow or Azure Machine Learning</span></li> <li><span>Produce clear and accurate model development artefacts including experiment summaries, performance reports, and model documentation</span></li> </ul> <br> <p><strong><span>Data Engineering &amp; Feature Development</span></strong></p><br> <br> <ul> <li><span>Assist in building and maintaining ML data pipelines covering data ingestion, transformation, validation, and basic feature engineering for model training and inference workflows</span></li> <li><span>Support data quality checks, anomaly detection, and dataset preparation activities to ensure ML model inputs meet required standards</span></li> <li><span>Collaborate with the Data &amp; Analytics team to access and understand available data assets, following data governance and privacy guidelines</span></li> <li><span>Work with structured data sources including relational databases and enterprise system extracts, developing proficiency in handling diverse data types over time</span></li> </ul> <br> <p><strong><span>ML-Ops &amp; Production Support</span></strong></p><br> <br> <ul> <li><span>Support the implementation and maintenance of ML-Ops pipeline components including model packaging, deployment, and basic performance monitoring under senior team guidance</span></li> <li><span>Assist in deploying ML models to cloud environments using approved tooling (Azure Machine Learning, ML-flow, Docker, or equivalent)</span></li> <li><span>Monitor deployed models for observable performance issues and flag anomalies to the AI Architect or senior team members for investigation</span></li> <li><span>Maintain accurate records in model registries including versioning and change logs across AI initiatives</span></li> <li><span>Contribute to the documentation and validation support activities for ML models deployed in GxP-regulated contexts, following defined compliance processes</span></li> </ul> <br> <p><strong><span>Quality Assurance &amp; Testing</span></strong></p><br> <br> <ul> <li><span>Support the development and execution of testing activities for ML solutions, including data, pipeline tests, model performance checks, and basic integration testing</span></li> <li><span>Actively participate in code reviews and technical walkthroughs, applying feedback to improve code quality and engineering practices</span></li> <li><span>Document assigned ML components clearly including data preparation steps, model configurations, test results, and known issues</span></li> <li><span>Identify and escalate technical issues encountered across the ML stack in a timely and structured manner</span></li> </ul> <br> </div>

<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> <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>

<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>