Highway (road) Engineer Jobs - Amman Jordan

<p><h4>Description</h4> <p><strong>Summary</strong><br> We are looking for a senior Citrix engineer with deep hands-on experience in designing, implementing, and administering enterprise Citrix environments. The ideal candidate will be responsible for ensuring the stability, performance, and availability of Citrix infrastructure across the organization.</p> <h4>Key responsibilities</h4> <ul> <li>Design, implement, and administer Citrix Virtual Apps and Desktops (CVAD) environments</li> <li>Manage and optimize Citrix NetScaler (ADC) for load balancing and application delivery</li> <li>Administer XenMobile for enterprise mobility management</li> <li>Troubleshoot and resolve Citrix-related issues ensuring minimal downtime</li> <li>Plan and execute upgrades, migrations, and capacity planning for Citrix infrastructure</li> <li>Collaborate with virtualization and infrastructure teams on VMware-integrated solutions</li> <li>Maintain documentation for all Citrix configurations and changes</li> </ul> <h4>Requirements</h4> <ul> <li>BSc in computer science or computer engineering</li> <li>Minimum 8 years of hands-on Citrix experience</li> <li>Valid Citrix certification (design, implementation, or administration)</li> <li>Proven experience with Citrix NetScaler, CVAD, and XenMobile</li> <li>Working knowledge of VMware virtualization</li> </ul></p><p></p>

<p><h4>Description</h4> <p><strong>Summary</strong><br> We are looking for a senior Citrix engineer with deep hands-on experience in designing, implementing, and administering enterprise Citrix environments. The ideal candidate will be responsible for ensuring the stability, performance, and availability of Citrix infrastructure across the organization.</p> <h4>Key responsibilities</h4> <ul> <li>Design, implement, and administer Citrix Virtual Apps and Desktops (CVAD) environments</li> <li>Manage and optimize Citrix NetScaler (ADC) for load balancing and application delivery</li> <li>Administer XenMobile for enterprise mobility management</li> <li>Troubleshoot and resolve Citrix-related issues ensuring minimal downtime</li> <li>Plan and execute upgrades, migrations, and capacity planning for Citrix infrastructure</li> <li>Collaborate with virtualization and infrastructure teams on VMware-integrated solutions</li> <li>Maintain documentation for all Citrix configurations and changes</li> </ul> <h4>Requirements</h4> <ul> <li>BSc in computer science or computer engineering</li> <li>Minimum 8 years of hands-on Citrix experience</li> <li>Valid Citrix certification (design, implementation, or administration)</li> <li>Proven experience with Citrix NetScaler, CVAD, and XenMobile</li> <li>Working knowledge of VMware virtualization</li> </ul></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for a Senior Officer QA Engineer for our backend team at Almosafer. You will be part of the QA team focused on delivering the best experiences for our customers using your testing skills, as well as ensuring the best experience through fast and working software. You ll be the confidence aspect of the team.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Profile Requirements:</h2><ul><li>2-3 Years of solid experience within Software testing</li><li>JAVA or any related programming language (one at least)</li><li>Hands-on git command line</li><li>Experience with Rest Assured Framework and API testing</li><li>Strong knowledge of Software QA methodologies, testing types, tools, and processes.</li><li>Analytical thinking.</li><li>Attention to details.</li><li>Problem analysis and problem-solving.</li><li>Teamwork.</li><li>Project tracking tools</li><li>Agile familiar and have the ability to remote work</li><li>Travel and Tourism experience is a plus</li><li>Degree in Computer Science, Engineering or a related subject.</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>

<p>The Software Engineer designs, develops, and maintains software solutions that power Wiley Science Solutions' online products, digital platforms, and scientific information services. This role contributes to the delivery of scalable web applications, SaaS offerings, APIs, and cloud-based platforms that serve researchers, scientists, and enterprise customers worldwide. Working within an Agile, cross-functional environment, the Software Engineer collaborates with Product Managers, Architects, UX Designers, QA Engineers, DevOps Engineers, and fellow developers to build reliable, secure, and user-centric solutions. This role is responsible for delivering high-quality software while continuously improving product capabilities, performance, scalability, and customer experience.</p><p>How You Will Make an Impact</p><strong>Software Development &amp; Delivery</strong><ul><li>Develop new features and enhancements for Wiley Science Solutions' online products, including customer-facing web applications, SaaS platforms, and scientific information services.</li><li>Design, build, and maintain modern, scalable, and secure software solutions using industry-standard frameworks, cloud technologies, and engineering best practices.</li><li>Deliver high-quality code that supports business objectives and creates meaningful value for customers.</li></ul><strong>Technical Implementation</strong><ul><li>Build and maintain full-stack applications and backend services using object-oriented design principles, software design patterns, and modern programming languages.</li><li>Develop and integrate RESTful APIs, microservices, cloud-native services, and data platforms that support scalable and resilient digital products.</li><li>Contribute to modernization initiatives by improving existing architectures, optimizing performance, and reducing technical debt.</li></ul><strong>Quality, Reliability &amp; Engineering Excellence</strong><ul><li>Follow engineering best practices including automated testing, peer code reviews, continuous integration, and secure software development standards.</li><li>Support application reliability, scalability, security, and maintainability through robust testing, monitoring, and troubleshooting practices.</li><li>Participate in root cause analysis and resolution of production issues to ensure a stable customer experience.</li></ul><strong>Cross-Functional Collaboration</strong><ul><li>Partner closely with Product Managers, UX Designers, Architects, QA Engineers, DevOps Engineers, and other stakeholders to deliver business value.</li><li>Participate in technical discussions, solution design sessions, and implementation planning activities.</li><li>Work effectively within distributed global teams, balancing independent ownership with collaborative delivery.</li></ul><strong>Agile Participation &amp; Continuous Improvement</strong><ul><li>Actively contribute to Agile ceremonies including sprint planning, backlog refinement, daily stand-ups, sprint reviews, and retrospectives.</li><li>Provide accurate estimates and communicate risks, dependencies, and technical challenges proactively.</li><li>Support initiatives that improve team effectiveness, engineering excellence, and delivery predictability.</li></ul><strong>Innovation &amp; Growth</strong><ul><li>Continuously expand technical expertise and stay current with emerging technologies, cloud platforms, AI-enabled capabilities, and modern software development practices.</li><li>Apply software architecture and system design principles to solve complex technical challenges.</li><li>Contribute ideas that improve products, platforms, customer experiences, and engineering efficiency.</li></ul><strong>Customer &amp; Business Impact</strong><ul><li>Develop software solutions that enable researchers, scientists, and enterprise customers to efficiently access, analyze, and manage scientific information.</li><li>Help advance Wiley Science Solutions' strategic objectives by improving product usability, scalability, performance, and customer value.</li><li>Foster strong communication and collaboration across engineering and product teams to support business success.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent practical experience.</li><li>Experience developing, testing, and maintaining modern software applications.</li><li>Strong understanding of object-oriented programming principles and software design patterns.</li><li>Experience building web applications, backend services, APIs, or distributed systems.</li><li>Knowledge of software development best practices including code reviews, automated testing, and CI/CD processes.</li><li>Experience working within Agile software development environments.</li><li>Strong analytical and problem-solving skills with the ability to troubleshoot technical issues.</li><li>Effective written and verbal communication skills.</li><li>Demonstrated ability to collaborate within cross-functional and distributed teams.</li><li>Experience with modern web technologies including React, Next.js, TypeScript, JavaScript, HTML, and CSS.</li><li>Experience with backend development technologies such as Java, Spring Boot, REST APIs, and Microservices.</li><li>Experience with cloud platforms and services, including AWS.</li><li>Experience with containers and orchestration technologies such as Docker and Kubernetes.</li><li>Knowledge of CI/CD pipelines and DevOps practices.</li><li>Experience working with relational and NoSQL databases.</li><li>Familiarity with cloud-native application development and scalable SaaS platforms.</li><li>Interest in AI-enabled technologies and modern software engineering innovations.</li></ul>

<p><h4>Description</h4> <p>The Senior Presales Engineer – Enterprise & End-User Solutions is responsible for designing, positioning, and supporting enterprise infrastructure and end-user computing solutions for customers across the region. The role serves as a trusted technical advisor throughout the sales lifecycle, supporting strategic customer engagements, solution architecture, technical proposals, and solution validation activities.</p> <p>Working closely with sales, vendors, and delivery teams, the engineer develops scalable, secure, and modern infrastructure solutions aligned with customer business and technical requirements. The role focuses on enterprise infrastructure, virtualization, hybrid cloud, end-user computing, and business continuity solutions while supporting digital transformation and data center modernization initiatives.</p> <h4>Requirements:</h4> <h4>Solution architecture & presales leadership</h4> <ul> <li>Lead the design and positioning of enterprise infrastructure and end-user computing solutions aligned with customer requirements and business objectives</li> <li>Develop: <ul> <li>High-level designs (HLD)</li> <li>Solution architecture documents</li> <li>Technical proposals</li> <li>Bill of materials (BoM)</li> <li>Compliance matrices</li> <li>RFP/RFI/RFQ responses</li> </ul> </li> <li>Lead solution sizing, architecture validation, and technical assessments for complex customer environments</li> </ul> <h4>Customer engagement & technical advisory</h4> <ul> <li>Conduct customer workshops, technical presentations, demonstrations, and architecture discussions</li> <li>Engage with enterprise and government customers to understand business and technical requirements</li> <li>Translate customer challenges into scalable infrastructure and end-user solutions</li> <li>Support opportunity qualification and strategic solution positioning alongside sales teams</li> <li>Lead proof of concepts (PoCs) and technical evaluation activities</li> </ul> <h4>Enterprise infrastructure solutions</h4> <p>Design and position solutions across:</p> <ul> <li>Servers (rack, blade, hyperconverged)</li> <li>Enterprise storage solutions (SAN, NAS, SDS)</li> <li>Virtualization platforms</li> <li>Hyperconverged infrastructure (HCI)</li> <li>Backup and disaster recovery solutions</li> <li>Data center modernization initiatives</li> </ul> <p>Design high availability and business continuity architectures aligned with customer requirements</p> <h4>Cloud & platform solutions</h4> <ul> <li>Support hybrid cloud and private cloud architecture initiatives</li> <li>Contribute to container platform discussions including: <ul> <li>Kubernetes</li> <li>OpenShift</li> </ul> </li> <li>Support automation and orchestration solution positioning with foundational knowledge of cloud-native technologies</li> </ul> <h4>End-user computing solutions</h4> <ul> <li>Design and support solutions across: <ul> <li>VDI and desktop virtualization</li> <li>Endpoint management (UEM)</li> <li>Collaboration solutions</li> <li>Laptops, workstations, and thin clients</li> <li>OS deployment and lifecycle management</li> </ul> </li> </ul> <h4>Vendor & cross-functional collaboration</h4> <ul> <li>Coordinate with vendors for: <ul> <li>Design validation</li> <li>Technical alignment</li> <li>Commercial and pricing support</li> </ul> </li> <li>Work closely with sales and delivery teams to ensure successful solution alignment and project handover</li> <li>Support customer success initiatives through ongoing technical engagement where required</li> </ul> <h4>Technical leadership & knowledge sharing</h4> <ul> <li>Mentor junior and mid-level engineers across enterprise infrastructure technologies</li> <li>Lead internal technical knowledge-sharing and enablement sessions</li> <li>Contribute to technical standards, reusable templates, and best practice frameworks</li> <li>Support certification and capability development initiatives within the team</li> </ul> <h4>Documentation & best practices</h4> <ul> <li>Maintain accurate technical documentation and solution records</li> <li>Ensure proposed solutions align with customer standards and industry best practices</li> <li>Contribute to continuous improvement of technical templates, solution frameworks, and presales processes</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in Computer Engineering, Information Technology, or a related field</li> <li>7+ years of experience in enterprise infrastructure presales, solution architecture, or system integration environments</li> <li>Strong expertise in: <ul> <li>Enterprise infrastructure and data center technologies</li> <li>Virtualization and HCI platforms</li> <li>Backup and disaster recovery solutions</li> <li>End-user computing and VDI environments</li> <li>Hybrid cloud and private cloud architectures</li> </ul> </li> <li>Strong architecture, sizing, and infrastructure design capabilities</li> <li>Good understanding of: <ul> <li>Containers and Kubernetes platforms</li> <li>Automation and orchestration concepts</li> <li>High availability and disaster recovery architectures</li> </ul> </li> <li>Hands-on or presales experience with one or more of the following vendors and technologies: <ul> <li>Dell Technologies (Servers, Storage, VxRail, PowerStore)</li> <li>Nutanix</li> <li>VMware / Broadcom</li> <li>Red Hat OS and OpenShift</li> <li>Veeam / Cohesity</li> <li>Huawei</li> <li>Citrix / Omnissa (VDI)</li> <li>IBM Hardware</li> </ul> </li> <li>Proven experience designing and positioning enterprise data center and end-user solutions</li> <li>Strong experience preparing technical proposals, compliance matrices, and customer presentations</li> <li>Experience supporting enterprise and government customer engagements is preferred</li> </ul> <h4>Certifications (Preferred)</h4> <ul> <li>VMware (VCP)</li> <li>Nutanix (NCP)</li> <li>Dell Technologies certifications</li> <li>Veeam, Cohesity, or backup-related certifications</li> <li>Red Hat certifications</li> <li>Oracle Hardware certifications</li> <li>Huawei certifications</li> </ul></p><p></p>

<p><h4>Description</h4> <p>The Senior Presales Engineer – Enterprise & End-User Solutions is responsible for designing, positioning, and supporting enterprise infrastructure and end-user computing solutions for customers across the region. The role serves as a trusted technical advisor throughout the sales lifecycle, supporting strategic customer engagements, solution architecture, technical proposals, and solution validation activities.</p> <p>Working closely with sales, vendors, and delivery teams, the engineer develops scalable, secure, and modern infrastructure solutions aligned with customer business and technical requirements. The role focuses on enterprise infrastructure, virtualization, hybrid cloud, end-user computing, and business continuity solutions while supporting digital transformation and data center modernization initiatives.</p> <h4>Requirements:</h4> <h4>Solution architecture & presales leadership</h4> <ul> <li>Lead the design and positioning of enterprise infrastructure and end-user computing solutions aligned with customer requirements and business objectives</li> <li>Develop: <ul> <li>High-level designs (HLD)</li> <li>Solution architecture documents</li> <li>Technical proposals</li> <li>Bill of materials (BoM)</li> <li>Compliance matrices</li> <li>RFP/RFI/RFQ responses</li> </ul> </li> <li>Lead solution sizing, architecture validation, and technical assessments for complex customer environments</li> </ul> <h4>Customer engagement & technical advisory</h4> <ul> <li>Conduct customer workshops, technical presentations, demonstrations, and architecture discussions</li> <li>Engage with enterprise and government customers to understand business and technical requirements</li> <li>Translate customer challenges into scalable infrastructure and end-user solutions</li> <li>Support opportunity qualification and strategic solution positioning alongside sales teams</li> <li>Lead proof of concepts (PoCs) and technical evaluation activities</li> </ul> <h4>Enterprise infrastructure solutions</h4> <p>Design and position solutions across:</p> <ul> <li>Servers (rack, blade, hyperconverged)</li> <li>Enterprise storage solutions (SAN, NAS, SDS)</li> <li>Virtualization platforms</li> <li>Hyperconverged infrastructure (HCI)</li> <li>Backup and disaster recovery solutions</li> <li>Data center modernization initiatives</li> </ul> <p>Design high availability and business continuity architectures aligned with customer requirements</p> <h4>Cloud & platform solutions</h4> <ul> <li>Support hybrid cloud and private cloud architecture initiatives</li> <li>Contribute to container platform discussions including: <ul> <li>Kubernetes</li> <li>OpenShift</li> </ul> </li> <li>Support automation and orchestration solution positioning with foundational knowledge of cloud-native technologies</li> </ul> <h4>End-user computing solutions</h4> <ul> <li>Design and support solutions across: <ul> <li>VDI and desktop virtualization</li> <li>Endpoint management (UEM)</li> <li>Collaboration solutions</li> <li>Laptops, workstations, and thin clients</li> <li>OS deployment and lifecycle management</li> </ul> </li> </ul> <h4>Vendor & cross-functional collaboration</h4> <ul> <li>Coordinate with vendors for: <ul> <li>Design validation</li> <li>Technical alignment</li> <li>Commercial and pricing support</li> </ul> </li> <li>Work closely with sales and delivery teams to ensure successful solution alignment and project handover</li> <li>Support customer success initiatives through ongoing technical engagement where required</li> </ul> <h4>Technical leadership & knowledge sharing</h4> <ul> <li>Mentor junior and mid-level engineers across enterprise infrastructure technologies</li> <li>Lead internal technical knowledge-sharing and enablement sessions</li> <li>Contribute to technical standards, reusable templates, and best practice frameworks</li> <li>Support certification and capability development initiatives within the team</li> </ul> <h4>Documentation & best practices</h4> <ul> <li>Maintain accurate technical documentation and solution records</li> <li>Ensure proposed solutions align with customer standards and industry best practices</li> <li>Contribute to continuous improvement of technical templates, solution frameworks, and presales processes</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in Computer Engineering, Information Technology, or a related field</li> <li>7+ years of experience in enterprise infrastructure presales, solution architecture, or system integration environments</li> <li>Strong expertise in: <ul> <li>Enterprise infrastructure and data center technologies</li> <li>Virtualization and HCI platforms</li> <li>Backup and disaster recovery solutions</li> <li>End-user computing and VDI environments</li> <li>Hybrid cloud and private cloud architectures</li> </ul> </li> <li>Strong architecture, sizing, and infrastructure design capabilities</li> <li>Good understanding of: <ul> <li>Containers and Kubernetes platforms</li> <li>Automation and orchestration concepts</li> <li>High availability and disaster recovery architectures</li> </ul> </li> <li>Hands-on or presales experience with one or more of the following vendors and technologies: <ul> <li>Dell Technologies (Servers, Storage, VxRail, PowerStore)</li> <li>Nutanix</li> <li>VMware / Broadcom</li> <li>Red Hat OS and OpenShift</li> <li>Veeam / Cohesity</li> <li>Huawei</li> <li>Citrix / Omnissa (VDI)</li> <li>IBM Hardware</li> </ul> </li> <li>Proven experience designing and positioning enterprise data center and end-user solutions</li> <li>Strong experience preparing technical proposals, compliance matrices, and customer presentations</li> <li>Experience supporting enterprise and government customer engagements is preferred</li> </ul> <h4>Certifications (Preferred)</h4> <ul> <li>VMware (VCP)</li> <li>Nutanix (NCP)</li> <li>Dell Technologies certifications</li> <li>Veeam, Cohesity, or backup-related certifications</li> <li>Red Hat certifications</li> <li>Oracle Hardware certifications</li> <li>Huawei certifications</li> </ul></p><p></p>

<p><h4>About the opportunity</h4> <p>We are hiring on behalf of a major government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious applied AI programs.</p> <p>This organisation is creating AI-powered products and platforms that will transform public services across the Emirate. The work spans retrieval systems, agent-based workflows, sovereign AI infrastructure, and production-grade applications that must operate securely, reliably, and at scale.</p> <p>This is an opportunity to build highly impactful AI products used in real-world government environments where quality, trust, and operational excellence are essential.</p> <h4>Role overview</h4> <p>We are looking for a senior AI product engineer to own the end-to-end delivery of AI-powered products.</p> <p>You will design and build the retrieval pipelines and agent workflows that power intelligent applications, the backend services that support them, and the user interfaces that deliver value to end users. This role combines applied AI engineering with strong product judgment.</p> <p>You should be comfortable working across the full stack—from Python-based AI systems and APIs to React frontends—and accountable for how your products perform in production.</p> <p>At the senior level, you will:</p> <ul> <li>Own AI product features from concept through production</li> <li>Build and optimize RAG pipelines and agent-based systems</li> <li>Develop backend services and modern user interfaces</li> <li>Make sound technical and product decisions</li> <li>Use AI coding tools such as Codex, Claude Code, or similar as part of your daily workflow</li> </ul> <h4>Key responsibilities</h4> <p><strong>End-to-end AI product development</strong></p> <ul> <li>Design and build AI-powered assistants, copilots, and automation tools</li> <li>Architect retrieval-augmented generation (RAG) pipelines, including ingestion, embeddings, vector search, and reranking</li> <li>Develop agent-based workflows with tool use, planning, and multi-step reasoning</li> <li>Build reusable AI components and integration libraries for multiple products</li> </ul> <p><strong>Full-stack engineering</strong></p> <ul> <li>Build React and Next.js interfaces with streaming responses and conversational experiences</li> <li>Develop backend APIs and services in Python, Java/Kotlin, or Node.js</li> <li>Work with PostgreSQL, Redis, DocumentDB, Azure Blob Storage, and vector databases such as pgvector or Qdrant</li> <li>Instrument AI systems using Langfuse and Grafana for tracing and observability</li> </ul> <p><strong>Product ownership & engineering excellence</strong></p> <ul> <li>Evaluate product requirements and ensure solutions solve the right problems</li> <li>Optimize systems for reliability, latency, and user trust</li> <li>Document technical decisions and architecture clearly</li> <li>Mentor engineers and contribute to engineering best practices</li> </ul> <h4>Basic qualifications</h4> <ul> <li>7+ years of software engineering experience</li> <li>Proven experience shipping end-to-end product features across AI, backend, and frontend layers</li> <li>Strong proficiency in Python and experience building LLM-powered systems</li> <li>Solid React fundamentals, including state management, accessibility, and performance</li> <li>Experience building production APIs in Python, Java/Kotlin, or Node.js</li> <li>Working knowledge of PostgreSQL and relational schema design</li> <li>Understanding of common LLM production challenges such as hallucination, latency, and context degradation</li> <li>Practical use of AI coding assistants such as Codex or Claude Code</li> <li>Strong system design, testing, debugging, and performance optimization skills</li> </ul> <h4>Preferred qualifications</h4> <ul> <li>Experience with LangGraph, LangChain, Semantic Kernel, AutoGen, or CrewAI</li> <li>Experience designing streaming APIs with SSE or WebSockets</li> <li>Strong familiarity with Next.js, Tailwind CSS, TanStack Query, and Zustand</li> <li>Experience deploying AI applications on Azure using Docker and CI/CD pipelines</li> <li>Familiarity with vector databases such as Qdrant or pgvector</li> <li>Experience working in government, public sector, financial services, or other regulated environments</li> </ul> <h4>Technology stack</h4> <ul> <li>Frontend: React, Next.js, Tailwind CSS</li> <li>Backend: Python, Java, Kotlin, Node.js</li> <li>AI & LLM: LangChain, LangGraph, Microsoft Agent Framework, vector databases, OCR, ASR, TTS</li> <li>Data: PostgreSQL, Redis, DocumentDB, Azure Blob Storage</li> <li>Observability: Langfuse, Grafana</li> <li>Infrastructure: Docker, Azure, CI/CD pipelines</li> <li>AI development: Codex, Claude Code, OpenCode</li> </ul> <h4>What we’re looking for</h4> <p>You are an engineer who:</p> <ul> <li>Takes ownership across the full product lifecycle</li> <li>Balances technical depth with strong product judgment</li> <li>Builds AI products that users trust in production</li> <li>Makes evidence-based decisions</li> <li>Communicates clearly and proactively</li> <li>Embraces AI-native development practices</li> </ul> <h4>Why apply?</h4> <p>This is an opportunity to help shape the future of AI-powered public services in Abu Dhabi.</p> <p>You’ll work on meaningful products with real-world impact, solving complex challenges in applied AI, product engineering, and large-scale deployment.</p></p><p></p>

<p><h4>About the opportunity</h4> <p>We are hiring on behalf of a major government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious applied AI programs.</p> <p>This organisation is creating AI-powered products and platforms that will transform public services across the Emirate. The work spans retrieval systems, agent-based workflows, sovereign AI infrastructure, and production-grade applications that must operate securely, reliably, and at scale.</p> <p>This is an opportunity to build highly impactful AI products used in real-world government environments where quality, trust, and operational excellence are essential.</p> <h4>Role overview</h4> <p>We are looking for a senior AI product engineer to own the end-to-end delivery of AI-powered products.</p> <p>You will design and build the retrieval pipelines and agent workflows that power intelligent applications, the backend services that support them, and the user interfaces that deliver value to end users. This role combines applied AI engineering with strong product judgment.</p> <p>You should be comfortable working across the full stack—from Python-based AI systems and APIs to React frontends—and accountable for how your products perform in production.</p> <p>At the senior level, you will:</p> <ul> <li>Own AI product features from concept through production</li> <li>Build and optimize RAG pipelines and agent-based systems</li> <li>Develop backend services and modern user interfaces</li> <li>Make sound technical and product decisions</li> <li>Use AI coding tools such as Codex, Claude Code, or similar as part of your daily workflow</li> </ul> <h4>Key responsibilities</h4> <p><strong>End-to-end AI product development</strong></p> <ul> <li>Design and build AI-powered assistants, copilots, and automation tools</li> <li>Architect retrieval-augmented generation (RAG) pipelines, including ingestion, embeddings, vector search, and reranking</li> <li>Develop agent-based workflows with tool use, planning, and multi-step reasoning</li> <li>Build reusable AI components and integration libraries for multiple products</li> </ul> <p><strong>Full-stack engineering</strong></p> <ul> <li>Build React and Next.js interfaces with streaming responses and conversational experiences</li> <li>Develop backend APIs and services in Python, Java/Kotlin, or Node.js</li> <li>Work with PostgreSQL, Redis, DocumentDB, Azure Blob Storage, and vector databases such as pgvector or Qdrant</li> <li>Instrument AI systems using Langfuse and Grafana for tracing and observability</li> </ul> <p><strong>Product ownership & engineering excellence</strong></p> <ul> <li>Evaluate product requirements and ensure solutions solve the right problems</li> <li>Optimize systems for reliability, latency, and user trust</li> <li>Document technical decisions and architecture clearly</li> <li>Mentor engineers and contribute to engineering best practices</li> </ul> <h4>Basic qualifications</h4> <ul> <li>7+ years of software engineering experience</li> <li>Proven experience shipping end-to-end product features across AI, backend, and frontend layers</li> <li>Strong proficiency in Python and experience building LLM-powered systems</li> <li>Solid React fundamentals, including state management, accessibility, and performance</li> <li>Experience building production APIs in Python, Java/Kotlin, or Node.js</li> <li>Working knowledge of PostgreSQL and relational schema design</li> <li>Understanding of common LLM production challenges such as hallucination, latency, and context degradation</li> <li>Practical use of AI coding assistants such as Codex or Claude Code</li> <li>Strong system design, testing, debugging, and performance optimization skills</li> </ul> <h4>Preferred qualifications</h4> <ul> <li>Experience with LangGraph, LangChain, Semantic Kernel, AutoGen, or CrewAI</li> <li>Experience designing streaming APIs with SSE or WebSockets</li> <li>Strong familiarity with Next.js, Tailwind CSS, TanStack Query, and Zustand</li> <li>Experience deploying AI applications on Azure using Docker and CI/CD pipelines</li> <li>Familiarity with vector databases such as Qdrant or pgvector</li> <li>Experience working in government, public sector, financial services, or other regulated environments</li> </ul> <h4>Technology stack</h4> <ul> <li>Frontend: React, Next.js, Tailwind CSS</li> <li>Backend: Python, Java, Kotlin, Node.js</li> <li>AI & LLM: LangChain, LangGraph, Microsoft Agent Framework, vector databases, OCR, ASR, TTS</li> <li>Data: PostgreSQL, Redis, DocumentDB, Azure Blob Storage</li> <li>Observability: Langfuse, Grafana</li> <li>Infrastructure: Docker, Azure, CI/CD pipelines</li> <li>AI development: Codex, Claude Code, OpenCode</li> </ul> <h4>What we’re looking for</h4> <p>You are an engineer who:</p> <ul> <li>Takes ownership across the full product lifecycle</li> <li>Balances technical depth with strong product judgment</li> <li>Builds AI products that users trust in production</li> <li>Makes evidence-based decisions</li> <li>Communicates clearly and proactively</li> <li>Embraces AI-native development practices</li> </ul> <h4>Why apply?</h4> <p>This is an opportunity to help shape the future of AI-powered public services in Abu Dhabi.</p> <p>You’ll work on meaningful products with real-world impact, solving complex challenges in applied AI, product engineering, and large-scale deployment.</p></p><p></p>

<p>Description About the Opportunity We are hiring on behalf of a leading government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious AI programs. This organisation is creating the infrastructure, platforms, and products that will enable government entities to operate as AI-native institutions. The work spans sovereign AI infrastructure, event-driven systems, and production-grade applications that support critical public services. This is an opportunity to work on highly impactful systems where reliability, scalability, and security are essential. Role Overview We are looking for a Senior Backend Engineer to design, build, and operate the backend platform that powers advanced AI and data products. You will own core services, APIs, event pipelines, and data infrastructure that support production systems at scale. This role is backend-focused and requires deep expertise in distributed systems, cloud infrastructure, Kubernetes, and database reliability. While you do not need to be an AI specialist, you should be comfortable building the platform foundations that modern AI applications depend on. At the senior level, you will: Architect and own major backend subsystems end-to-end Lead reliability and operational excellence initiatives Mentor other engineers and contribute to technical standards Collaborate with senior technical leadership to shape platform direction Use AI coding tools such as Codex, Claude Code, or similar in your daily workflow Key Responsibilities Backend Services & Event-Driven Architecture Design, build, and operate scalable backend services and APIs Develop event-driven systems using Kafka, Azure Service Bus, or Azure Event Hubs Build data pipelines, ETL processes, and shared platform abstractions Manage PostgreSQL, caching, and object storage infrastructure Cloud Infrastructure & Reliability Deploy and operate containerized services on Kubernetes Build CI/CD pipelines and infrastructure-as-code using Terraform Manage cloud infrastructure on Azure Define and monitor SLOs, metrics, logging, tracing, and alerting Lead incident response, root-cause analysis, and postmortems Security, Standards & Mentorship Implement secure engineering practices and compliance requirements Contribute to IAM, secrets management, network policy, and zero-trust architecture Mentor engineers through design reviews and code reviews Basic Qualifications 7+ years of backend or platform engineering experience Strong expertise in distributed systems and event-driven architecture Proficiency in Python, Java/Kotlin, or Go Hands-on experience with Azure (AWS or GCP experience also valued) Production experience with Docker and Kubernetes Strong knowledge of PostgreSQL at scale Experience with observability, SLOs, and incident response Practical use of AI coding assistants such as Codex or Claude Code Excellent written and verbal communication skills Preferred Qualifications Experience building internal developer platforms and shared tooling Service mesh experience (Istio, Linkerd) Familiarity with CQRS, event sourcing, sagas, and outbox patterns Experience with Redis, Elasticsearch, or OpenSearch Exposure to AI infrastructure such as retrieval pipelines and model serving Security experience in regulated environments Experience working in government, defense, financial services, or similar sectors Technology Stack  Languages: Python, Java, Kotlin, Go  APIs: REST, gRPC, WebSockets, SSE  Event Streaming: Kafka, Azure Service Bus, Azure Event Hubs  Data: PostgreSQL, Redis, DocumentDB, Azure Blob Storage  Infrastructure: Azure, Docker, Kubernetes, Terraform  Observability: Prometheus, Grafana, OpenTelemetry  Security: Entra ID, RBAC, Secrets Management, Zero Trust  AI Development: Codex, Claude Code, OpenCode What We’re Looking For You are an engineer who: Takes full ownership from design to production operations Builds reliable, scalable systems with strong operational discipline Makes evidence-based technical decisions Mentors others and raises the engineering bar Communicates clearly and proactively Embraces AI-native engineering practices Why Apply? This role offers the opportunity to work on highly consequential systems that will shape the future of AI-powered public services. You’ll join a world-class engineering environment tackling complex challenges in backend infrastructure, distributed systems, and cloud architecture—while delivering meaningful impact at a national scale.</p><p></p>

<p>Description About the Opportunity We are hiring on behalf of a leading government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious AI programs. This organisation is creating the infrastructure, platforms, and products that will enable government entities to operate as AI-native institutions. The work spans sovereign AI infrastructure, event-driven systems, and production-grade applications that support critical public services. This is an opportunity to work on highly impactful systems where reliability, scalability, and security are essential. Role Overview We are looking for a Senior Backend Engineer to design, build, and operate the backend platform that powers advanced AI and data products. You will own core services, APIs, event pipelines, and data infrastructure that support production systems at scale. This role is backend-focused and requires deep expertise in distributed systems, cloud infrastructure, Kubernetes, and database reliability. While you do not need to be an AI specialist, you should be comfortable building the platform foundations that modern AI applications depend on. At the senior level, you will: Architect and own major backend subsystems end-to-end Lead reliability and operational excellence initiatives Mentor other engineers and contribute to technical standards Collaborate with senior technical leadership to shape platform direction Use AI coding tools such as Codex, Claude Code, or similar in your daily workflow Key Responsibilities Backend Services & Event-Driven Architecture Design, build, and operate scalable backend services and APIs Develop event-driven systems using Kafka, Azure Service Bus, or Azure Event Hubs Build data pipelines, ETL processes, and shared platform abstractions Manage PostgreSQL, caching, and object storage infrastructure Cloud Infrastructure & Reliability Deploy and operate containerized services on Kubernetes Build CI/CD pipelines and infrastructure-as-code using Terraform Manage cloud infrastructure on Azure Define and monitor SLOs, metrics, logging, tracing, and alerting Lead incident response, root-cause analysis, and postmortems Security, Standards & Mentorship Implement secure engineering practices and compliance requirements Contribute to IAM, secrets management, network policy, and zero-trust architecture Mentor engineers through design reviews and code reviews Basic Qualifications 7+ years of backend or platform engineering experience Strong expertise in distributed systems and event-driven architecture Proficiency in Python, Java/Kotlin, or Go Hands-on experience with Azure (AWS or GCP experience also valued) Production experience with Docker and Kubernetes Strong knowledge of PostgreSQL at scale Experience with observability, SLOs, and incident response Practical use of AI coding assistants such as Codex or Claude Code Excellent written and verbal communication skills Preferred Qualifications Experience building internal developer platforms and shared tooling Service mesh experience (Istio, Linkerd) Familiarity with CQRS, event sourcing, sagas, and outbox patterns Experience with Redis, Elasticsearch, or OpenSearch Exposure to AI infrastructure such as retrieval pipelines and model serving Security experience in regulated environments Experience working in government, defense, financial services, or similar sectors Technology Stack  Languages: Python, Java, Kotlin, Go  APIs: REST, gRPC, WebSockets, SSE  Event Streaming: Kafka, Azure Service Bus, Azure Event Hubs  Data: PostgreSQL, Redis, DocumentDB, Azure Blob Storage  Infrastructure: Azure, Docker, Kubernetes, Terraform  Observability: Prometheus, Grafana, OpenTelemetry  Security: Entra ID, RBAC, Secrets Management, Zero Trust  AI Development: Codex, Claude Code, OpenCode What We’re Looking For You are an engineer who: Takes full ownership from design to production operations Builds reliable, scalable systems with strong operational discipline Makes evidence-based technical decisions Mentors others and raises the engineering bar Communicates clearly and proactively Embraces AI-native engineering practices Why Apply? This role offers the opportunity to work on highly consequential systems that will shape the future of AI-powered public services. You’ll join a world-class engineering environment tackling complex challenges in backend infrastructure, distributed systems, and cloud architecture—while delivering meaningful impact at a national scale.</p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p><p><b>Job Summary</b></p><p>The Managed Services Team Lead is a senior technical and people leadership role responsible for leading the Managed Services team, ensuring operational excellence across all customer environments, and acting as the last technical escalation point before executive leadership. This role requires deep, hands-on AWS expertise combined with strong people management skills. The Team Lead owns the end-to-end managed services operation and builds and maintains the operational standards, monitoring strategies, and automation that keep customer environments healthy and stable. As an Advanced AWS Partner, cirrusgo expects the Managed Services Team Lead to uphold the highest technical standards, drive team certification goals, and contribute to AWS competency and program readiness.</p><p>Key Responsibilities</p><ul><li>Lead and manage the Managed Services team including Cloud Support Engineers</li><li>Act as the last technical escalation point for all managed services issues personally diagnose and resolve the most complex AWS infrastructure, networking, security, database, and performance problems.</li><li>Own end-to-end managed services operations with full accountability for SLA compliance, uptime, and customer satisfaction.</li><li>Lead incident response for critical customer incidents, coordinate cross-functional response, and drive root cause analysis and permanent remediation.</li><li>Adapt and Develop monitoring, alerting, and observability strategies using related tools to ensure proactive detection of issues.</li><li>Establish and enforce operational standards, runbooks, playbooks, escalation procedures, and change management processes.</li><li>Implement and maintain automation for operational tasks including patching, scaling, backup, disaster recovery testing, and infrastructure provisioning.</li><li>Drive capacity planning, performance optimization, and cost optimization across managed customer environments.</li><li>Conduct regular operational reviews with customers, present SLA compliance reports, and drive continuous service improvement.</li><li>Define team objectives, KPIs, and performance metrics for managed services engineers.</li><li>Oversee individual development plans, coaching, performance management, and succession planning.</li><li>Drive team certification strategy ensuring engineers meet cirrusgo's AWS certification targets.</li><li>Manage on-call rotations, shift scheduling, and ensure adequate coverage models are effective.</li><li>Collaborate with Solutions Architects during technical handover to ensure operational readiness of new customer environments.</li><li>Collaborate with the Service Delivery Manager on customer retention, expansion opportunities, and service improvement initiatives.</li><li>Contribute to cirrusgo's AWS competency requirements through documented case studies and technical leadership.</li><li>Adhere to cirrusgo standards, security guidelines, ethical conduct, and professional behavior at all times.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Computer Science, Engineering, or a related field (Master s degree is a plus)</p><p>7+ years of hands-on experience in AWS cloud infrastructure, operations, and troubleshooting</p><p>3+ years of experience managing or leading technical teams in managed services or cloud operations environments.</p><p>Deep expertise across core AWS services: EC2, VPC, RDS, S3, IAM, CloudWatch, Lambda, ECS/EKS, Route 53, CloudFront, Direct Connect, Transit Gateway, Organizations, Control Tower, and others.</p><p>Proven ability to troubleshoot and resolve complex, multi-layered AWS issues across compute, networking, storage, database, and security.</p><p>Strong experience with monitoring and observability tools (CloudWatch, Prometheus, Grafana, ELK/OpenSearch, etc.)</p><p>Experience with infrastructure as code (CloudFormation, Terraform, CDK) and automation tools (Ansible, Systems Manager, Lambda)</p><p>Deep understanding of AWS networking including VPC design, Transit Gateway, Direct Connect, VPN, Route 53, and hybrid connectivity</p><p>Deep understanding of AWS security including IAM, GuardDuty, Security Hub, WAF, KMS, and compliance frameworks</p><p>Proven people management experience including coaching, performance management, and team development</p><p>Strong customer-facing skills with experience conducting operational reviews and SLA reporting</p><p>ITIL Foundation or higher certification</p><p>At least AWS Solutions Architect Professional or AWS DevOps Engineer Professional</p><p>AWS Specialty certification (preferred: Advanced Networking or Security)</p><p>Any additional operations, Linux, or security certifications (nice to have)</p><p></p></section>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking a Director, Data & Analytics to take ownership of the strategy, architecture, delivery, and operational performance of its Data & Analytics function. This is a hands-on leadership role overseeing the enterprise data platform, the data products the business relies on, and the team behind them, setting technical direction, delivery standards, and investment priorities while staying personally engaged in key architecture and design decisions. The ideal candidate combines strong technical credibility with senior leadership experience, and will be directly accountable for making the platform AI-ready, ensuring data is governed, traceable, and model-grade to support regulated AI deployment.</p> <h4>Responsibilities:</h4> <p><strong>1. Platform architecture & engineering leadership:</strong><br> Own the enterprise data platform, Azure Data Lake Storage Gen2, Databricks lakehouse (Medallion architecture), Power BI, and Unity Catalog, ensuring it is architecturally sound, standardized, reliable, and engineered to scale.<br> Set and enforce platform engineering standards: ingestion patterns, transformation conventions, Medallion layer contracts, data quality gates, Bronze-to-Gold promotion criteria, and the CI/CD framework that delivers all of it.<br> Own the Unity Catalog governance model, RBAC, lineage, business glossary, and metric definitions, as the platform-enforced foundation for trusted data.<br> Drive the platform roadmap from current state to target, sequencing technical debt remediation, new capability build-out, and platform readiness for downstream AI and analytics demand.<br> Personally lead design reviews and architecture decisions for the platform, engaging directly with the engineering team on complex technical problems where senior technical judgment is required.<br> Own data platform observability and operational excellence, pipeline reliability, SLA adherence, incident response, and data quality monitoring.</p> <p><strong>2. Delivery & data products:</strong><br> Run the D&A delivery programme, from source ingestion and pipeline engineering through to analytics, semantic layer, and data product delivery for business functions.<br> Set and enforce delivery standards: sprint cadence, code review, documentation, testing, validation, and release management practices that govern all team output.<br> Define and own data SLAs to the business, pipeline refresh frequency, availability, and incident response commitments, and ensure delivery is held against them.<br> Own the data integration roadmap, prioritising ingestion of new source systems into the lake in alignment with business demand and platform readiness.<br> Manage complex integration challenges across source systems, engaging directly on technical constraints, working with upstream owners, and designing solutions that align data latency and refresh frequency with business needs.<br> Own the portfolio of data products, datasets, semantic models, and analytics deliverables, ensuring each is documented, well-understood, and fit for the business question it answers.<br> Define and own the standard for what a Gold-layer data product must satisfy to be AI-ready, distinguishing analytics-grade from model-training-grade, with explicit criteria covering completeness, label integrity, statistical consistency, and lineage traceability.</p> <p><strong>3. Data governance & quality:</strong><br> Design and operate the data governance operating model, data ownership, stewardship, quality standards, business glossary, and metric definitions.<br> Embed data quality gates into Medallion layer promotion, making quality a precondition of Bronze-to-Gold progression, with measurable thresholds and clear remediation paths.<br> Own data lineage visibility across the platform so business users can trace the provenance of every number they rely on, end-to-end from source to dashboard.<br> Lead the technical evaluation, selection, and implementation of enterprise data catalogue tooling, including integration with Unity Catalog and the platform metadata layer.<br> Embed appropriate data handling, validation, and audit-trail practices for regulated data domains, partnering with Quality, Regulatory, and Legal to ensure compliance requirements are met by design.<br> Establish data quality measurement as a managed practice, KPIs, dashboards, periodic review, and accountability with data owners.<br> Establish data lineage and provenance practices that satisfy AI explainability and regulatory auditability requirements, including GxP-compliant audit trails for Quality, Manufacturing, and Regulatory AI use cases.</p> <p><strong>4. Team leadership & capability development:</strong><br> Lead, hire, and develop the D&A team, Data Engineers, Analytics Engineers, BI Developers, and Business Analysts, sequencing hires in alignment with the platform roadmap and delivery demand.<br> Define and evolve the role design, skills profile, and career framework for the team within the broader Data & AI CoE structure.<br> Set the team's performance culture: clear ownership, high engineering standards, fast feedback, continuous learning, and documentation as a team discipline.<br> Coach and develop team members directly, identifying high-potential individuals, investing in their technical and leadership growth, and building bench strength across roles.<br> Manage team capacity and allocation across the platform roadmap and business delivery demand, ensuring focus stays on high-value work aligned to strategic priorities.<br> Set the engineering craft culture, code review, design review, pairing, and shared technical standards, that lifts the technical quality of all team output.</p> <p><strong>5. Business partnership & vendor engagement:</strong><br> Serve as the senior D&A point of contact for business function leadership, translating business data needs into platform and delivery priorities.<br> Build credibility with business stakeholders through reliable, consistent delivery, data products that are well-understood, well-documented, and match business expectations.<br> Communicate proactively on platform status, delivery commitments, risks, and trade-offs, ensuring stakeholders have a current view and surfacing issues early.<br> Represent D&A in cross-functional planning forums, ensuring the data foundation perspective is present in enterprise architecture, application, and AI investment decisions.<br> Manage operational vendor and partner relationships for the data platform, Databricks, Microsoft Azure, Power BI, and implementation or augmentation partners.</p> <h4>Requirements</h4> <p>Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or related discipline.<br> Master's degree in Data Science, Computer Science, Business Administration, or related field is preferred.<br> Relevant certifications in cloud data platforms (e.g., Azure Data Engineer, Databricks Certified Data Engineer Professional) are preferred.<br> Minimum 10 years of progressive experience in data engineering, data platform, or enterprise analytics roles.<br> Minimum 5 years in a senior leadership role with direct team management accountability, hiring, developing, and performance managing a multi-disciplinary technical team.<br> Proven hands-on production experience with Databricks (Delta Lake, Unity Catalog) and Azure data services at platform-design and engineering-lead level.<br> Proven track record building or substantially remediating a cloud-native data platform in a complex, multi-source enterprise environment.<br> Experience with Medallion/lakehouse architecture patterns in production.<br> Experience designing data products and platform capabilities for AI/ML consumption, including Feature Store design, training dataset engineering, and ML data lineage is preferred.<br> Experience working at the interface of a data platform team and an AI/ML team, translating model requirements into data infrastructure specifications and owning the data readiness handoff is preferred.<br> Experience leading a data governance or catalogue implementation, from design through to business adoption.<br> Life sciences, pharmaceutical, or other regulated industry experience is preferred.</p> <h4>Skills:</h4> <p><strong>Technical competencies:</strong><br> Data platform architecture<br> Data engineering, pipeline design & CDC patterns<br> Data modelling, transformation & engineering standards<br> Data governance, quality & catalogue<br> Analytics & BI delivery<br> MLOps & ML platform foundations<br> Delivery management & agile methods</p> <p><strong>Platform & technical skills:</strong><br> Deep practical expertise in Azure data services: ADLS Gen2, Azure Data Factory, Azure DevOps.<br> Hands-on production experience with Databricks, Delta Lake, notebooks, Unity Catalog, MLflow.<br> Strong understanding of incremental load and CDC patterns across enterprise source systems (SAP, Veeva, SuccessFactors, and similar).<br> Power BI at the semantic layer level, understanding how the semantic layer should be designed for enterprise scale.<br> CI/CD for data pipelines, practical implementation at production scale.<br> Data quality frameworks, profiling, expectation testing, alerting, and remediation workflows.<br> Working knowledge of modern data governance tooling: Unity Catalog, Collibra, Purview, or DataHub.</p> <p><strong>Leadership & business skills:</strong><br> Credible with both technical teams and senior business stakeholders.<br> Strong delivery discipline, owns commitments, communicates risks early, and sizes work realistically.<br> Structured thinker, able to take a complex current state and produce a clear, prioritised, sequenced roadmap.<br> Strong written and verbal communication in English; Arabic proficiency valued.<br> Cultural intelligence for working effectively across MENA, US, and Europe.</p></p><p></p>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking a Director, Data & Analytics to take ownership of the strategy, architecture, delivery, and operational performance of its Data & Analytics function. This is a hands-on leadership role overseeing the enterprise data platform, the data products the business relies on, and the team behind them, setting technical direction, delivery standards, and investment priorities while staying personally engaged in key architecture and design decisions. The ideal candidate combines strong technical credibility with senior leadership experience, and will be directly accountable for making the platform AI-ready, ensuring data is governed, traceable, and model-grade to support regulated AI deployment.</p> <h4>Responsibilities:</h4> <p><strong>1. Platform architecture & engineering leadership:</strong><br> Own the enterprise data platform, Azure Data Lake Storage Gen2, Databricks lakehouse (Medallion architecture), Power BI, and Unity Catalog, ensuring it is architecturally sound, standardized, reliable, and engineered to scale.<br> Set and enforce platform engineering standards: ingestion patterns, transformation conventions, Medallion layer contracts, data quality gates, Bronze-to-Gold promotion criteria, and the CI/CD framework that delivers all of it.<br> Own the Unity Catalog governance model, RBAC, lineage, business glossary, and metric definitions, as the platform-enforced foundation for trusted data.<br> Drive the platform roadmap from current state to target, sequencing technical debt remediation, new capability build-out, and platform readiness for downstream AI and analytics demand.<br> Personally lead design reviews and architecture decisions for the platform, engaging directly with the engineering team on complex technical problems where senior technical judgment is required.<br> Own data platform observability and operational excellence, pipeline reliability, SLA adherence, incident response, and data quality monitoring.</p> <p><strong>2. Delivery & data products:</strong><br> Run the D&A delivery programme, from source ingestion and pipeline engineering through to analytics, semantic layer, and data product delivery for business functions.<br> Set and enforce delivery standards: sprint cadence, code review, documentation, testing, validation, and release management practices that govern all team output.<br> Define and own data SLAs to the business, pipeline refresh frequency, availability, and incident response commitments, and ensure delivery is held against them.<br> Own the data integration roadmap, prioritising ingestion of new source systems into the lake in alignment with business demand and platform readiness.<br> Manage complex integration challenges across source systems, engaging directly on technical constraints, working with upstream owners, and designing solutions that align data latency and refresh frequency with business needs.<br> Own the portfolio of data products, datasets, semantic models, and analytics deliverables, ensuring each is documented, well-understood, and fit for the business question it answers.<br> Define and own the standard for what a Gold-layer data product must satisfy to be AI-ready, distinguishing analytics-grade from model-training-grade, with explicit criteria covering completeness, label integrity, statistical consistency, and lineage traceability.</p> <p><strong>3. Data governance & quality:</strong><br> Design and operate the data governance operating model, data ownership, stewardship, quality standards, business glossary, and metric definitions.<br> Embed data quality gates into Medallion layer promotion, making quality a precondition of Bronze-to-Gold progression, with measurable thresholds and clear remediation paths.<br> Own data lineage visibility across the platform so business users can trace the provenance of every number they rely on, end-to-end from source to dashboard.<br> Lead the technical evaluation, selection, and implementation of enterprise data catalogue tooling, including integration with Unity Catalog and the platform metadata layer.<br> Embed appropriate data handling, validation, and audit-trail practices for regulated data domains, partnering with Quality, Regulatory, and Legal to ensure compliance requirements are met by design.<br> Establish data quality measurement as a managed practice, KPIs, dashboards, periodic review, and accountability with data owners.<br> Establish data lineage and provenance practices that satisfy AI explainability and regulatory auditability requirements, including GxP-compliant audit trails for Quality, Manufacturing, and Regulatory AI use cases.</p> <p><strong>4. Team leadership & capability development:</strong><br> Lead, hire, and develop the D&A team, Data Engineers, Analytics Engineers, BI Developers, and Business Analysts, sequencing hires in alignment with the platform roadmap and delivery demand.<br> Define and evolve the role design, skills profile, and career framework for the team within the broader Data & AI CoE structure.<br> Set the team's performance culture: clear ownership, high engineering standards, fast feedback, continuous learning, and documentation as a team discipline.<br> Coach and develop team members directly, identifying high-potential individuals, investing in their technical and leadership growth, and building bench strength across roles.<br> Manage team capacity and allocation across the platform roadmap and business delivery demand, ensuring focus stays on high-value work aligned to strategic priorities.<br> Set the engineering craft culture, code review, design review, pairing, and shared technical standards, that lifts the technical quality of all team output.</p> <p><strong>5. Business partnership & vendor engagement:</strong><br> Serve as the senior D&A point of contact for business function leadership, translating business data needs into platform and delivery priorities.<br> Build credibility with business stakeholders through reliable, consistent delivery, data products that are well-understood, well-documented, and match business expectations.<br> Communicate proactively on platform status, delivery commitments, risks, and trade-offs, ensuring stakeholders have a current view and surfacing issues early.<br> Represent D&A in cross-functional planning forums, ensuring the data foundation perspective is present in enterprise architecture, application, and AI investment decisions.<br> Manage operational vendor and partner relationships for the data platform, Databricks, Microsoft Azure, Power BI, and implementation or augmentation partners.</p> <h4>Requirements</h4> <p>Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or related discipline.<br> Master's degree in Data Science, Computer Science, Business Administration, or related field is preferred.<br> Relevant certifications in cloud data platforms (e.g., Azure Data Engineer, Databricks Certified Data Engineer Professional) are preferred.<br> Minimum 10 years of progressive experience in data engineering, data platform, or enterprise analytics roles.<br> Minimum 5 years in a senior leadership role with direct team management accountability, hiring, developing, and performance managing a multi-disciplinary technical team.<br> Proven hands-on production experience with Databricks (Delta Lake, Unity Catalog) and Azure data services at platform-design and engineering-lead level.<br> Proven track record building or substantially remediating a cloud-native data platform in a complex, multi-source enterprise environment.<br> Experience with Medallion/lakehouse architecture patterns in production.<br> Experience designing data products and platform capabilities for AI/ML consumption, including Feature Store design, training dataset engineering, and ML data lineage is preferred.<br> Experience working at the interface of a data platform team and an AI/ML team, translating model requirements into data infrastructure specifications and owning the data readiness handoff is preferred.<br> Experience leading a data governance or catalogue implementation, from design through to business adoption.<br> Life sciences, pharmaceutical, or other regulated industry experience is preferred.</p> <h4>Skills:</h4> <p><strong>Technical competencies:</strong><br> Data platform architecture<br> Data engineering, pipeline design & CDC patterns<br> Data modelling, transformation & engineering standards<br> Data governance, quality & catalogue<br> Analytics & BI delivery<br> MLOps & ML platform foundations<br> Delivery management & agile methods</p> <p><strong>Platform & technical skills:</strong><br> Deep practical expertise in Azure data services: ADLS Gen2, Azure Data Factory, Azure DevOps.<br> Hands-on production experience with Databricks, Delta Lake, notebooks, Unity Catalog, MLflow.<br> Strong understanding of incremental load and CDC patterns across enterprise source systems (SAP, Veeva, SuccessFactors, and similar).<br> Power BI at the semantic layer level, understanding how the semantic layer should be designed for enterprise scale.<br> CI/CD for data pipelines, practical implementation at production scale.<br> Data quality frameworks, profiling, expectation testing, alerting, and remediation workflows.<br> Working knowledge of modern data governance tooling: Unity Catalog, Collibra, Purview, or DataHub.</p> <p><strong>Leadership & business skills:</strong><br> Credible with both technical teams and senior business stakeholders.<br> Strong delivery discipline, owns commitments, communicates risks early, and sizes work realistically.<br> Structured thinker, able to take a complex current state and produce a clear, prioritised, sequenced roadmap.<br> Strong written and verbal communication in English; Arabic proficiency valued.<br> Cultural intelligence for working effectively across MENA, US, and Europe.</p></p><p></p>

<span><span><span><span><span><span><span><span><span><span><b>Role: Presales Technical Consultant </b><div style=""> <b>Work Location: Amman, Jordan <br> </b><div style=""> <br> <div style=""> As a PreSales Technical Consultant at ManageEngine (Division of Zoho Corporation), you will assist the Sales/Business Development team by problem-solving key technical issues for our customers. <br> <div style=""> <br> <div style=""> <b>Roles and Responsibilities: </b><br> <ul style=""> <li style=""> We are looking for a PreSales Engineer with excellent technical, communication and organizational skills. <br> </li><li style=""> <span> <span> <span>Work with Sales team to identify and qualify business opportunities. One of the main roles will be to technically qualify the IT needs of a prospect. <br> </span></span></span></li><li style=""> <span> <span> <span>Any knowledge in Windows server management/Active Directory, ITService Management and Desktop management, ITIL, IT Security, ITOperations Management product will be of advantage. Knowledge about Cloud infrastructure will be a key factor too. <br> </span></span></span></li><li style=""> <span> <span> <span>Will have to perform product presentation online/onsite to our customer internationally and provide all necessary support at the evaluation stage. <br> </span></span></span></li><li style=""> <span> <span> <span>Understanding of the day to day IT problems that our customer face and to recommend the ManageEngine solutions through Proof of Concept, completing RFQ documents and involve in the complete Pre-Sales cycle. <br> </span></span></span></li><li style=""> Will have to work closely with Product &amp; other internal teams to discuss on complex customer environment. <br> </li><li style=""> Will have to be qualified in Advanced level of Arabic in writing, speaking and reading. <br> <div style=""> <br><br></div></li></ul></div></div></div></div></div></span></span></span></span></span></span></span></span></span></span>

<p><h4>Description</h4> <p>Optimiza is seeking a skilled VOIP engineer with a focus on voice engineering to join our team. The successful candidate will be responsible for designing, implementing, and supporting voice network solutions, ensuring seamless communication and collaboration across the organization.</p> <h4>Key responsibilities:</h4> <ul> <li>Install, configure, and maintain Cisco Unified Communications Manager (CUCM) and related UC applications (Unity Connection, IM&P, CER, UCCX).</li> <li>Manage SIP trunks, dial plans, route patterns, translation rules, and call-routing logic.</li> <li>Support and configure Cisco IP phones, softphones, and video endpoints.</li> <li>Provide level 1–3 support for VoIP issues including call quality, registration failures, codec mismatches, and signaling problems.</li> <li>Troubleshoot SIP, SCCP, RTP, QoS, and network-related voice issues using tools such as RTMT, Wireshark, and Cisco logs.</li> <li>Monitor performance, resolve incidents, and perform root-cause analysis.</li> <li>Work with network teams to ensure proper QoS markings, VLAN configurations, and bandwidth provisioning for voice traffic.</li> <li>Validate end-to-end connectivity and ensure adherence to voice network best practices.</li> <li>Configure and manage Cisco voice gateways (MGCP, H.323, SIP), CUBE, and PSTN connectivity.</li> <li>Implement dial-peers, transcoding, conferencing resources, and survivability mechanisms (SRST).</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in Telecommunication Engineering or any other relevant field.</li> <li>1-3 years of experience in implementing Cisco VOIP solutions.</li> <li>CCNP Collaboration preferred.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Optimiza is seeking a skilled VOIP engineer with a focus on voice engineering to join our team. The successful candidate will be responsible for designing, implementing, and supporting voice network solutions, ensuring seamless communication and collaboration across the organization.</p> <h4>Key responsibilities:</h4> <ul> <li>Install, configure, and maintain Cisco Unified Communications Manager (CUCM) and related UC applications (Unity Connection, IM&P, CER, UCCX).</li> <li>Manage SIP trunks, dial plans, route patterns, translation rules, and call-routing logic.</li> <li>Support and configure Cisco IP phones, softphones, and video endpoints.</li> <li>Provide level 1–3 support for VoIP issues including call quality, registration failures, codec mismatches, and signaling problems.</li> <li>Troubleshoot SIP, SCCP, RTP, QoS, and network-related voice issues using tools such as RTMT, Wireshark, and Cisco logs.</li> <li>Monitor performance, resolve incidents, and perform root-cause analysis.</li> <li>Work with network teams to ensure proper QoS markings, VLAN configurations, and bandwidth provisioning for voice traffic.</li> <li>Validate end-to-end connectivity and ensure adherence to voice network best practices.</li> <li>Configure and manage Cisco voice gateways (MGCP, H.323, SIP), CUBE, and PSTN connectivity.</li> <li>Implement dial-peers, transcoding, conferencing resources, and survivability mechanisms (SRST).</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in Telecommunication Engineering or any other relevant field.</li> <li>1-3 years of experience in implementing Cisco VOIP solutions.</li> <li>CCNP Collaboration preferred.</li> </ul></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Responsibilities:</b></p><p>Key Responsibilities</p><ul><li>Troubleshoot and repair machines</li><li>Reduce downtime of machines to support production demand</li><li>Design, engineer, and fabricate machine parts as required</li><li>Perform preventative maintenance on machines as scheduled</li><li>Meet with production leads and supervisors regarding operation of machines</li></ul><p>Additional Responsibilities</p><ul><li>Basic PLC knowledge and troubleshooting</li><li>Assist in the maintenance and repair production equipment s</li><li>Perform routine maintenance functions and adjustments to equipment s</li><li>Responsible for shop cleanliness, safety and compliance</li><li>Follow Health, Safety, Environmental, Quality and Lean standards</li></ul><p>Interactions:</p><p>All functional areas of Production</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>High School diploma or equivalent level of education required</li><li>5+ years of machine repair experience in Production setting</li><li>Prior experience performing preventative Maintenance on machines</li><li>Electrical experience</li><li>Pneumatic experience</li><li>Prior experience effectively trouble-shooting automation equipment</li></ul><p>Specific knowledge</p><ul><li>Mechanical aptitude</li><li>Basic PLC knowledge and troubleshooting</li><li>Lift objects of various shapes, sizes and weights</li><li>Excellent listening skills and ability to follow instructions as well as provide directions on step-by-step repair process</li><li>Motivated, organized, eager to learn and possess a positive attitude toward the job</li></ul><p>Specific competencies</p><ul><li>Motivated individuals who want to work and will show up to their scheduled shifts on time and excited and ready to work</li><li>High level of accuracy and attention to detail</li><li>Priorities setting capabilities, time management and flexibility</li><li>Trouble shooting and learning</li><li>Strong communication skills</li></ul><p></p></section>

<p>The Senior DevOps Engineer executes and refines the DevOps strategy and is instrumental in implementing automation and integration across IT Operations, Application Delivery, Development, and Data Warehousing, ensuring alignment with the organization's DevOps methodology. As a senior member of the team, the role also sets technical standards and mentors junior engineers.</p><p><b>Main Activities and Responsibilities:</b></p><ul><li>Design, implement, and maintain scalable CI/CD pipelines using GitHub Actions, following GitOps methodology with ArgoCD to enable reliable and automated Kubernetes deployments.</li><li>Automate infrastructure provisioning and configuration using Terraform, CloudFormation, and Ansible.</li><li>Manage and optimize AWS infrastructure including networking, IAM, EC2, EKS, RDS, MSK, ElastiCache, and Route53, with a strong focus on automation, security, and cost optimization.</li><li>Deploy and operate Kubernetes (Amazon EKS) workloads using Helm, Kustomize, and Karpenter, ensuring consistent configuration and efficient cluster autoscaling across environments.</li><li>Implement and maintain monitoring, logging, and alerting solutions using Prometheus, Grafana, Zabbix, Graylog, and JSM/OpsGenie.</li><li>Support and maintain database and data platform infrastructure (MySQL, PostgreSQL, MongoDB, Redshift), ensuring high availability, performance, monitoring, backup, and disaster recovery.</li><li>Manage edge and application security using Cloudflare and enforce secrets management and IAM governance across environments.</li><li>Investigate production incidents, perform root cause analysis, implement preventive actions, and participate in the on-call escalation rotation to drive continuous service reliability improvements.</li><li>Collaborate with other departments and engineering teams to improve processes, automation, and operational excellence.</li><li>Maintain technical documentation and define and review technical standards for infrastructure and automation.</li><li>Maintain technical documentation and automate operational processes such as backup and disaster recovery.</li></ul><p>Required Skills &amp; Experience:</p><ul><li>5+ years of experience in DevOps, AWS Cloud Engineering, or similar roles.</li><li>Strong experience with CI/CD pipeline design and automation using GitHub Actions, ArgoCD, and GitOps workflows.</li><li>Hands-on experience with AWS services including VPC, IAM, EC2, EKS, RDS, MSK, ElastiCache, and Route53.</li><li>Proficiency with Infrastructure as Code tools such as Terraform, CloudFormation, or Ansible.</li><li>Experience managing and operating Kubernetes clusters (preferably EKS), deploying applications with Helm or Kustomize, and configuring cluster autoscaling with Karpenter.</li><li>Strong understanding of containerization with Docker.</li><li>Proficiency scripting in Bash and/or Python for automation.</li><li>Experience implementing monitoring, logging, and alerting solutions using Prometheus, Grafana, Zabbix, Graylog, or similar platforms.</li><li><br></li><li><br></li></ul><p><strong>Desired Candidate Profile</strong></p><p><b><br></b></p><p><b>Purpose of Role/Summary:</b> The Senior DevOps Engineer executes and refines the DevOps strategy and is instrumental in implementing automation and integration across IT Operations, Application Delivery, Development, and Data Warehousing, ensuring alignment with the organization's DevOps methodology. As a senior member of the team, the role also sets technical standards and mentors junior engineers.</p><p>Main Activities and Responsibilities:</p><ul><li>Design, implement, and maintain scalable CI/CD pipelines using GitHub Actions, following GitOps methodology with ArgoCD to enable reliable and automated Kubernetes deployments.</li><li>Automate infrastructure provisioning and configuration using Terraform, CloudFormation, and Ansible.</li><li>Manage and optimize AWS infrastructure including networking, IAM, EC2, EKS, RDS, MSK, ElastiCache, and Route53, with a strong focus on automation, security, and cost optimization.</li><li>Deploy and operate Kubernetes (Amazon EKS) workloads using Helm, Kustomize, and Karpenter, ensuring consistent configuration and efficient cluster autoscaling across environments.</li><li>Implement and maintain monitoring, logging, and alerting solutions using Prometheus, Grafana, Zabbix, Graylog, and JSM/OpsGenie.</li><li>Support and maintain database and data platform infrastructure (MySQL, PostgreSQL, MongoDB, Redshift), ensuring high availability, performance, monitoring, backup, and disaster recovery.</li><li>Manage edge and application security using Cloudflare and enforce secrets management and IAM governance across environments.</li><li>Investigate production incidents, perform root cause analysis, implement preventive actions, and participate in the on-call escalation rotation to drive continuous service reliability improvements.</li><li>Collaborate with other departments and engineering teams to improve processes, automation, and operational excellence.</li><li>Maintain technical documentation and define and review technical standards for infrastructure and automation.</li><li>Maintain technical documentation and automate operational processes such as backup and disaster recovery.</li></ul><p>Required Skills &amp; Experience:</p><ul><li>5+ years of experience in DevOps, AWS Cloud Engineering, or similar roles.</li><li>Strong experience with CI/CD pipeline design and automation using GitHub Actions, ArgoCD, and GitOps workflows.</li><li>Hands-on experience with AWS services including VPC, IAM, EC2, EKS, RDS, MSK, ElastiCache, and Route53.</li><li>Proficiency with Infrastructure as Code tools such as Terraform, CloudFormation, or Ansible.</li><li>Experience managing and operating Kubernetes clusters (preferably EKS), deploying applications with Helm or Kustomize, and configuring cluster autoscaling with Karpenter.</li><li>Strong understanding of containerization with Docker.</li><li>Proficiency scripting in Bash and/or Python for automation.</li><li>Experience implementing monitoring, logging, and alerting solutions using Prometheus, Grafana, Zabbix, Graylog, or similar platforms.</li><li>Solid understanding of Linux and networking concepts.</li><li>Familiarity with Windows Server a plus.</li><li>Experience with incident management, troubleshooting production systems, and root cause analysis.</li><li>Experience with databases and data platforms such as PostgreSQL, MySQL, MongoDB, and Redshift.</li><li>Clear written communication and experience working in distributed teams</li></ul>