Python Developer Jobs in Jordan

<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"><div><span ><b>About the Job</b></span></div><div><span >Hiring Events is a live production product that receives a high volume of support requests from clients, often related to malfunctioning or misconfigured features. The team plays a critical role in diagnosing, triaging, and resolving these issues—particularly with in-progress hiring events that are not functioning as expected. This involves debugging issues across systems, collaborating closely with the Client Support and GTM teams, and maintaining high client satisfaction, measured in part by user ratings.</span></div><div><span ><br></span></div><div><span ><b>What You'll Do</b></span></div><div><span >Analyze and resolve production issues, especially related to ongoing hiring events.</span></div><div><span ><br></span></div><div><span >Work closely with client-facing teams to address and triage support tickets.</span></div><div><span ><br></span></div><div><span >Ensure timely resolution of issues to meet established SLAs.</span></div><div><span ><br></span></div><div><span >Monitor production systems; respond swiftly to alerts or degradation in performance ("going red").</span></div><div><span ><br></span></div><div><span >Support architecture changes and system integrations that may impact hiring events.</span></div><div><span ><br></span></div><div><span >Maintain and update event logic in response to changes in dependencies and systems.</span></div><div><span ><br></span></div><div><span ><br></span></div><div><span ><b>Requirements</b></span></div><div><span >​</span></div><div><span >Must Have &gt; 7+ yrs</span></div><div><span ><br></span></div><div><span >1st Priority: Java/Springboot (Event Management Backend, Lobby Backend) – Primary</span></div><div><span ><br></span></div><div><span >2nd Priority: Django/Python (Event Management Backend, Lobby Backend) – Secondary</span></div><div><span ><br></span></div><div><span >React (Event Management Frontend, Lobby Frontend, IRL Frontend, Jobseeker Frontend)</span></div><div><span ><br></span></div><div><span >Kafka (Event Management Backend)</span></div><div><span ><br></span></div><div><span >GraphQL (Event Management Backend, Lobby Backend)</span></div><div><span ><br></span></div><div><span >SQL or MongoDB (Event Management Backend, Lobby Backend)</span></div><div><span ><br></span></div><div><span >Build and deployment experience</span></div><div><span ><br></span></div><div><span >Senior-level engineer capable of ramping up quickly and assuming ownership over multiple projects</span></div><div><span ><br></span></div><div><span >High level of ownership and autonomy</span></div><div><span ><br></span></div><div><span >Experience with at least one of the following: Dagster, Data Lakes, or Amazon Athena</span></div><div><span ><br></span></div><div><span >Nice to Have</span></div><div><span ><br></span></div><div><span >Product Manager experience working with GTM teams and engineers to help with prioritization</span></div><div><span ><br></span></div><div><span >Experience with AI-assisted development tools: Claude, Cursor, Windsurf</span></div><div><span ><br></span></div><div><span >Soft Skills Required</span></div><div><span ><br></span></div><div><span >Work independently and autonomously</span></div><div><span ><br></span></div><div><span >Take initiative rather than waiting for instructions; own merging and deploying code without "hand holding"</span></div><div><span ><br></span></div><div><span >Leadership and shepherding – ability to lead, shepherd, and onboard other engineers</span></div><div><span ><br></span></div><div><span >Clear and concise communication</span></div><div><span ><br></span></div><div><span >Handle ambiguity</span></div><div><span ><br></span></div><div><span >Prioritization and strategic thinking</span></div><div><span ><br></span></div><div><span >Use data to troubleshoot production issues</span></div></div></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for a highly skilled L2 Oracle KVM Virtualization Engineer with strong hands-on experience in Oracle Linux KVM and libvirt within enterprise production environments.<br> The role will be responsible for managing KVM hypervisors, virtual machines, HA configurations, live migration, storage and network integration, performance optimization, patching, backup/DR, and production incident management .<br> The ideal candidate should have strong troubleshooting skills and experience supporting mission-critical infrastructure in 24x7 production and DR environments .<br> Key Responsibilities Install, configure, administer, and maintain Oracle Linux KVM hypervisors .<br> Manage the complete VM lifecycle , including provisioning, configuration, migration, and decommissioning.<br> Configure and support High Availability (HA) and live migration .<br> Manage storage integration with KVM hosts, including iSCSI, NFS, SAN, and FC .<br> Configure and troubleshoot virtual networking, including VLANs, bridges, and bonding .<br> Monitor virtualization platform health, performance, capacity, and availability.<br> Perform CPU, memory, and disk I/O performance tuning .<br> Apply hypervisor patches, Linux kernel updates, and security hardening.<br> Manage VM backup and restore activities in coordination with backup teams.<br> Support DR environments and VM replication strategies.<br> Troubleshoot host failures, VM crashes, resource contention, and virtualization performance issues.<br> Perform Root Cause Analysis (RCA) for production incidents.<br> Support infrastructure upgrades, migrations, and technology refresh activities.<br> Coordinate with Linux/OS, Storage, Network, Backup, and Cloud teams .<br> Maintain technical documentation and operational procedures.<br> Follow ITIL-based Incident, Problem, and Change Management processes.<br> Provide L2 support within a 24x7 managed services environment 8–12 years of experience in virtualization and Linux administration.<br> Strong hands-on experience with Oracle Linux KVM .<br> Strong knowledge of KVM and libvirt .<br> Experience managing enterprise production virtualization environments .<br> Hands-on experience with HA and live migration .<br> Strong knowledge of Oracle Linux / RHEL .<br> Experience supporting Production and DR environments .<br> Strong understanding of virtualization architecture and resource allocation.<br> Hands-on experience with: iSCSI NFS SAN Fibre Channel (FC) Strong understanding of virtual networking: VLAN Linux Bridges Bonding Experience with virtualization performance tuning and troubleshooting.<br> Experience with patching, upgrades, security hardening, and vulnerability remediation .<br> Basic scripting knowledge using Shell and/or Python .<br> Strong troubleshooting, analytical, and incident-management skills.<br> Familiarity with ITIL Incident, Problem, and Change Management .<br></span> </div>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n<li>5+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n<li>5+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n <li>5+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply \u2192 Pass qualification(s) \u2192 Join a project \u2192 Complete tasks \u2192 Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a Senior AI Software Engineer to join our AI Hub, where we rapidly deliver prototypes, proof-of-concepts (PoCs), and minimum viable products (MVPs), as well as delivering production grade solutions that bring AI use cases to life. This role demands expertise across both front-end and back-end development, supporting the creation of dynamic AI-driven products such as GenAI-enabled web applications, use case marketplaces, and diagnostic tools. You will be responsible for designing, building, and optimizing end-to-end solutions, translating business requirements into robust, scalable, secure, and accessible web experiences suitable for enterprise production environments.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>5+ years of professional experience delivering enterprise-grade software solutions across backend and frontend systems.</li><li>Strong hands-on experience building secure, scalable, and maintainable APIs using Python and Node.js, with frameworks such as FastAPI and Fastify.</li><li>Solid frontend engineering experience with TypeScript, React, and Next.js, following enterprise UI and accessibility standards.</li><li>Proven experience containerizing, deploying, and operating applications in production using Docker and Kubernetes, with a strong understanding of reliability and scalability.</li><li>Experience designing, implementing, and maintaining CI/CD pipelines using Jenkins, GitHub Actions, or Azure DevOps, with automated testing and quality gates.</li><li>Hands-on experience deploying and operating production workloads on Microsoft Azure, including services such as AKS, Azure Container Apps, Azure Container Registry, and related platform services.</li><li>Strong understanding and application of software engineering best practices, including SOLID principles, clean architecture, and common enterprise design patterns.</li><li>Experience working with relational databases such as MS SQL Server and PostgreSQL, including schema design, query optimization, and transactional consistency.</li><li>Practical experience with vector databases (e.g., Chroma, Milvus, Pinecone) and pgvector, including building and operating Retrieval Augmented Generation (RAG) pipelines in production environments.</li><li>Ability to collaborate effectively in cross-functional enterprise teams, including product, architecture, security, and cloud/platform teams.</li><li>Experience working with LLMs and AI platforms, such as Azure OpenAI, OpenAI APIs, or similar enterprise AI services.</li><li>Familiarity with LLM orchestration frameworks such as LangChain, Semantic Kernel, or equivalent.</li><li>hands-on experience using AI coding assistants (Claude Code, OpenAI Codex,..etc)</li><li>Strong documentation skills and experience contributing to architecture decisions, technical standards, and internal best practices.</li><li>Prior experience mentoring junior engineers or contributing to engineering excellence initiatives.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>JOB SUMMARY</b></p><p>The Enterprise Digital Solutions Analyst is a full-stack digital practitioner within KEO Group s IT function, responsible for designing and delivering solutions that digitize, automate, and surface intelligence across the organization. The role spans four capability pillars Microsoft platform and SPFx/.NET development, Power Platform architecture, data and analytics engineering, and AI integration - with a strong secondary differentiator in Autodesk APS and AEC platform integrations. It requires someone equally comfortable writing a TypeScript web part, building a cross-platform mobile app in React Native, standing up a .NET Core service or Python automation, designing a Dataverse schema, building a Power BI semantic model, or prototyping an Azure OpenAI solution. Working within a multidisciplinary practice of data, knowledge, and infrastructure specialists, the Analyst translates operational challenges into scalable, well-governed digital products that KEO s people actually use - across projects, practices, and geographies.</p><p>KEY TASKS AND RESPONSIBILITIES</p><p>Microsoft Platform Development &amp; Automation</p><ul><li>Own the design, development, and delivery of solutions across the full Microsoft stack - from Power Platform apps and flows to SPFx web parts, .NET Azure Functions, and Graph API integrations - translating complex business requirements into maintainable, scalable applications.</li><li>Build and govern automated business processes across M365, integrating SharePoint Online, Dataverse, Teams, and third-party systems via connectors and direct REST/Graph API calls, selecting the right pattern based on performance, supportability, and security posture.</li><li>Extend Microsoft 365 Copilot through Copilot Studio - building declarative agents, custom connectors, and prompt extensions that surface KEO knowledge and process intelligence in the tools employees already use.</li><li>Build and deliver cross-platform mobile applications using React Native for Android and iOS, alongside modern web front-ends built with React and Next.js, extending KEO's digital solutions to field, site, and executive users beyond the desktop.</li></ul><p>Data, Analytics &amp; Reporting</p><ul><li>Apply strong analytical thinking and reporting skills to translate operational data into clear dashboards, reports, and business insights.</li><li>Clean, transform, and structure data using Power Query, DAX, and sound data modelling practices to support accurate and reliable reporting.</li><li>Work with APIs, endpoints, and connected data sources to integrate external and internal system data into reporting and analytics solutions.</li></ul><p>AI Integration &amp; Innovation</p><ul><li>Prototype and build AI-augmented solutions using Azure OpenAI, Copilot Studio, and the Power Platform AI Builder - identifying high-value use cases through engagement with business stakeholders and translating them into working pilots.</li><li>Stay ahead of the Microsoft AI and Power Platform release cadence, evaluating new capabilities (Copilot agents, AI Builder models, Semantic Kernel integrations) for relevance and value within KEO s operating context.</li></ul><p>Platform Support, Governance &amp; Collaboration</p><ul><li>Participate in business requirements analysis and process re-engineering workshops, helping stakeholders articulate problems precisely before designing solutions.</li><li>Ensure that Health, Safety, Sustainability, and Continual Improvement principles are embedded in all work practices.</li><li>Performs other duties as assigned.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Typically, 5 – 8 years of hands-on Microsoft platform development experience, with demonstrable depth across SharePoint Online and Azure integration.</li><li>Proficient in C#, .NET, and .NET Core for Azure Functions, Web APIs, and cross-platform back-end services; strong TypeScript and JavaScript (ES6+, async/await, module bundling), SPFx and client-side development; solid HTML5 and CSS3 for custom front-end work across SharePoint and Power Pages.</li><li>Deep SPFx development experience - web parts, application customizers, field customizers, and List View Command Sets - using PnP JS, Microsoft Graph Toolkit, and SharePoint REST and Graph API endpoints, with React component patterns as standard.</li><li>Hands-on experience building and shipping cross-platform mobile applications with React Native, including production deployments to both Android (Google Play) and iOS (App Store).</li><li>Strong command of React and Next.js for building modern, component-based and server-rendered web applications, including routing, state management, and integration with REST and Graph APIs.</li><li>Proficient in Python for scripting, automation, data processing, and back-end service development, integrating with Azure services and enterprise APIs.</li><li>Hands-on experience with Power Automate and Power BI</li><li>Hands-on experience with Azure Functions, Azure Logic Apps, Azure Storage Accounts (blobs, queues, tables), Azure Service Bus, and API Management for enterprise integration patterns; familiar with Azure DevOps CI/CD pipelines for Power Platform solutions, SPFx packages, and .NET APIs.</li><li>Solid command of Entra ID app registrations, OAuth 2.0 flows (authorization code, client credentials, on-behalf-of), managed identities, and Microsoft Graph delta queries - able to design and debug end-to-end authentication flows across the Microsoft identity platform without assistance.</li><li>Strong relational database skills, including data schema design and management, authoring complex queries, developing and maintaining stored procedures, and performance optimization (indexing strategy, query plan analysis, and normalization) across SQL Server and comparable relational databases.</li><li>Experience building with Azure OpenAI (GPT-4o, embeddings, Assistants API), Azure AI Search (RAG patterns, semantic ranking, vector search), and AI Builder; familiar with Copilot Studio for declarative agents and custom connectors; working awareness of Semantic Kernel for orchestrating LLM-based workflows within enterprise applications.</li><li>Experience integrating systems using REST APIs, OAuth-secured endpoints, and structured data exchange patterns to support analytics, automation, and enterprise application workflows.</li><li>Experience in the AEC (Architecture, Engineering, and Construction) or professional services sector is advantageous.</li></ul><p></p></section>

<p><h4>Description</h4> <p><strong>Key responsibilities</strong></p> <ul> <li>Design, build, and maintain scalable data pipelines (ETL/ELT)</li> <li>Develop and optimize data architecture, data lakes, and warehouses</li> <li>Ensure data quality, reliability, and integrity across systems</li> <li>Collaborate with product, engineering, and analytics teams to define data needs</li> <li>Build real-time and batch data processing systems</li> <li>Optimize database performance and query efficiency</li> <li>Implement data governance, security, and best practices</li> <li>Mentor junior data engineers and promote engineering excellence</li> </ul> <p><strong>Requirements</strong></p> <ul> <li>5+ years of experience in data engineering or related roles</li> <li>Strong proficiency in Python and SQL — not just writing queries, but designing reusable, tested pipeline code</li> <li>Hands-on AWS experience (required): Redshift, S3, Athena, ECS, EventBridge</li> <li>Experience building and maintaining data warehouses — Redshift experience is a strong plus</li> <li>Familiarity with workflow orchestration tools such as Airflow or equivalent, including ECS-based scheduling patterns</li> <li>Experience with multi-database environments: PostgreSQL/Aurora and MySQL/MariaDB</li> <li>Strong understanding of data modeling, dimensional design, and schema evolution</li> <li>Experience with streaming technologies such as Kafka is a plus</li> <li>Comfort working in a fast-moving product company where priorities shift and pipelines must be resilient</li> </ul> <p><strong>Nice to have</strong></p> <ul> <li>Experience supporting machine learning pipelines</li> <li>Knowledge of data governance and privacy best practices</li> <li>Experience in fast-paced startups or product companies</li> <li>Exposure to BI tools (e.g., Metabase, Tableau, Power BI)</li> </ul></p><p></p>

<p><h4>Description</h4> <p><strong>Key responsibilities</strong></p> <ul> <li>Design, build, and maintain scalable data pipelines (ETL/ELT)</li> <li>Develop and optimize data architecture, data lakes, and warehouses</li> <li>Ensure data quality, reliability, and integrity across systems</li> <li>Collaborate with product, engineering, and analytics teams to define data needs</li> <li>Build real-time and batch data processing systems</li> <li>Optimize database performance and query efficiency</li> <li>Implement data governance, security, and best practices</li> <li>Mentor junior data engineers and promote engineering excellence</li> </ul> <p><strong>Requirements</strong></p> <ul> <li>5+ years of experience in data engineering or related roles</li> <li>Strong proficiency in Python and SQL — not just writing queries, but designing reusable, tested pipeline code</li> <li>Hands-on AWS experience (required): Redshift, S3, Athena, ECS, EventBridge</li> <li>Experience building and maintaining data warehouses — Redshift experience is a strong plus</li> <li>Familiarity with workflow orchestration tools such as Airflow or equivalent, including ECS-based scheduling patterns</li> <li>Experience with multi-database environments: PostgreSQL/Aurora and MySQL/MariaDB</li> <li>Strong understanding of data modeling, dimensional design, and schema evolution</li> <li>Experience with streaming technologies such as Kafka is a plus</li> <li>Comfort working in a fast-moving product company where priorities shift and pipelines must be resilient</li> </ul> <p><strong>Nice to have</strong></p> <ul> <li>Experience supporting machine learning pipelines</li> <li>Knowledge of data governance and privacy best practices</li> <li>Experience in fast-paced startups or product companies</li> <li>Exposure to BI tools (e.g., Metabase, Tableau, Power BI)</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>you will be responsible for the management, maintenance, and support of our Linux-based server environments.<br> This role requires expertise in configuring and troubleshooting system issues, ensuring high availability and performance, and implementing best practices for security and efficiency.<br> Key Responsibilities: Install, configure, and maintain Linux operating systems on physical and virtual servers.<br> Monitor system performance, troubleshoot issues, and optimize server configurations for maximum efficiency.<br> Implement and manage backups, disaster recovery, and security updates.<br> Automate routine maintenance tasks using scripting languages (e.<br>g., Bash, Python).<br> Collaborate with development and network teams to ensure the seamless deployment and integration of applications.<br> Provide technical support and guidance to users and IT staff regarding Linux systems.<br> Maintain detailed documentation of system configurations, procedures, and changes.<br> Participate in capacity planning and system upgrades, ensuring minimal downtime.<br> Stay updated with the latest Linux technologies and industry trends.<br> Bachelor's degree in Computer Science, Information Technology, or a related field.<br> 4+ years of experience as a Linux Administrator or similar role.<br> Strong knowledge of Linux operating systems (e.<br>g., Red Hat, Ubuntu, CentOS).<br> Experience with server management, monitoring, and troubleshooting.<br> Proficiency in shell scripting and automation tools.<br> Familiarity with networking concepts, security best practices, and cloud services.<br> Excellent problem-solving skills and attention to detail.<br> Strong communication skills, both verbal and written.<br> Relevant certifications (e.<br>g., RHCE, CompTIA Linux+) are a plus.<br> #LI-RK1</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking an experienced Incident Response Lead to manage and coordinate cybersecurity incident response activities.<br> The ideal candidate will have hands-on experience in Digital Forensics and Incident Response (DFIR) , investigating security incidents, conducting root cause analysis, and leading containment, eradication, and recovery efforts in enterprise environments.<br> Key Responsibilities Lead the investigation and response to cybersecurity incidents.<br> Perform incident triage, analysis, containment, eradication, and recovery.<br> Conduct digital forensic investigations and root cause analysis.<br> Coordinate with SOC, Security Engineering, IT, and business teams during security incidents.<br> Develop and maintain incident response playbooks and procedures.<br> Analyze malware, phishing attacks, ransomware, and other cyber threats.<br> Prepare incident reports and provide recommendations to prevent future incidents.<br> Support threat hunting and continuous improvement of incident response capabilities.<br> Ensure compliance with organizational security policies and industry best practices.<br> 5–7 years of experience in Cybersecurity.<br> Hands-on experience in Incident Response and Digital Forensics (DFIR) .<br> Experience investigating security incidents in an enterprise environment.<br> Knowledge of malware analysis, ransomware, phishing, and threat detection.<br> Experience with SIEM, EDR, and security monitoring tools.<br> Strong understanding of Windows, Linux, networking, and security fundamentals.<br> Excellent analytical, troubleshooting, and communication skills.<br> Nice to Have Certifications such as GCFA, GCIH, GCFE, CHFI, CEH, CySA+, or Security+ .<br> Experience with cloud security incident response (Azure, AWS, or GCP).<br> Scripting experience (PowerShell or Python).<br></span> </div>

<p>Job Summary : The Senior Network Design &amp; Implementation Engineer is responsible for architecting, designing, deploying and testing end-to-end enterprise network, edge security and SD-WAN solutions centered around the Fortinet Security Fabric . This role requires advanced knowledge and experience in FortiGate Secure SD-WAN with advanced next-generation firewalling (NGFW), zero-trust architecture, and cloud connectivity. This position will also require familiarity with other SD-WAN solutions such as Arista Velocloud and Cisco SD-WAN. As a senior technical lead, this position converts complex enterprise connectivity and compliance requirements into validated Low-Level Designs (LLDs), automated configuration templates, structured migration cutover plans, and seamless operational handoffs.</p><p>Key Responsibilities :</p><p>1. Architecture &amp; Low-Level Design (LLD)</p><ul><li>Secure SD-WAN Design: Architect scalable FortiGate Secure SD-WAN topologies across multi-region environments, including Hub-and-Spoke, Full Mesh, and Dynamic Mesh VPN (ADVPN) structures with automated BGP routing.</li><li>SLA &amp; Steering Profiles: Design SD-WAN rules, Performance SLAs, link health monitoring probes, and application control steering policies using Dynamic Application Steering to optimize voice, SaaS, and critical business traffic over diverse underlays (DIA, MPLS, 5G/LTE).</li><li>Fortinet Security Fabric Integration: Build comprehensive edge and core security layouts incorporating FortiGate NGFWs , FortiManager , FortiAnalyzer , FortiSwitch , and FortiAP (FortiLAN Cloud/Fabric extensions).</li><li>Zero Trust &amp; Edge Security: Design and integrate Zero Trust Network Access (ZTNA), FortiSASE, SSL/TLS deep inspection, IPS, Web/URL filtering, and inline malware prevention profiles across local and remote access tiers.</li><li>Underlay &amp; Overlay Integration: Standardize complex BGP (iBGP/eBGP), OSPF, VRF, NAT, and IPsec tunnel architectures integrating SD-WAN overlays with existing enterprise data centers, core switching backbones, and legacy WANs.</li><li>Design Documentation: Develop complete High-Level Designs (HLDs), Low-Level Designs (LLDs), IP/VLAN schemes, network topology diagrams (Visio/Lucidchart/draw.io), and Bill of Materials (BOMs).</li></ul><p>2. Staging, Migration, &amp; Hands-On Implementation</p><ul><li>Deployment Engineering: Configure, stage, and deploy physical and virtual FortiGate appliances utilizing FortiManager for centralized policy management, device mapping, and revision tracking.</li><li>Migration Execution: Author detailed Method of Procedure (MOP) documents, cutover playbooks, rollback strategies, and maintenance window schedules for migrating legacy firewalls and WAN circuits to Fortinet Secure SD-WAN.</li><li>Hybrid &amp; Multi-Cloud Connectivity: Implement secure cloud edge connectivity, deploying virtual FortiGate instances (FortiGate-VM) in Azure using Cloud On-Ramp methodologies and Transit Gateways.</li><li>LAN/WLAN Integration: Configure FortiSwitch and FortiAP deployments using FortiLink to deliver unified, single-pane-of-glass management through FortiGate controllers.</li></ul><p>3. Automation &amp; Deployment Standardization</p><ul><li>Template Standardization: Build and maintain standardized CLI scripts, FortiManager Meta-Fields, Normalized Interfaces, and Jinja2 templates to enable zero-touch provisioning (ZTP) for global site rollouts.</li><li>Infrastructure as Code (IaC): Automate policy pushes, object creation, and compliance checks using Python, Ansible, or Terraform (FortiOS/FortiManager providers).</li></ul><p>4. Validation, Operational Handoff, &amp; Escalation</p><ul><li>Acceptance &amp; Failover Testing: Execute rigorous post-implementation testing (failover validation, link brownout/blackout simulations, throughput benchmarking, and HA cluster state verification).</li><li>Operational Enablement: Author Standard Operating Procedures (SOPs), knowledge-base articles, and operational runbooks; conduct formal training and handoff sessions for Tier-2/3 operations and NOC teams.</li><li>Tier-4 Escalation: Serve as the ultimate technical authority during complex cutovers, critical outage recoveries, and escalated Fortinet TAC engagements.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><b>Technical Expertise :</b></li><li>Fortinet Ecosystem: 6+ years of hands-on architectural and implementation experience with Fortinet solutions, including FortiGate (FortiOS), FortiManager, FortiAnalyzer, FortiSwitch, FortiAP, and FortiClient.</li><li>Fortinet Secure SD-WAN: Deep expertise in ADVPN, SD-WAN rules, Performance SLAs, BGP over IPsec overlays, and centralized orchestration via FortiManager.</li><li>Routing &amp; Networking Protocols: Expert-level understanding of BGP (path selection, communities, route reflection), OSPF, VRFs, VXLAN, EVPN, IPsec, NAT, IPv6, and QoS models.</li><li>Network Automation: Practical proficiency in scripting and automation using Python, Ansible, Terraform, or REST APIs.</li><li>Arista Velocloud: Familiarity with Arista Velocloud solutions in order to integrate with, and eventually migrate off of the current network based on Velocloud.</li><li><b>Education &amp; Experience :</b></li><li>Bachelor s degree in Computer Science, Network Engineering, Information Technology, or equivalent industry experience.</li><li>8+ years of experience in enterprise network engineering, with a focus on enterprise security design and multi-site WAN transformations to SD-WAN.</li><li><b>Preferred Certifications :</b></li><li>Fortinet: Fortinet Certified Solution Specialist (FCSS) in Network Security or Secure SD-WAN; Fortinet Certified Expert (FCX) / NSE 8 highly valued.</li><li>Industry Certifications: CCIE (Enterprise Infrastructure or Security), CCNP Enterprise/Security, or equivalent expert-level network engineering credentials.</li></ul>

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

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

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><span><span>About the Job</span></span></span><p><span><span><span><span><span><span>Hiring Events is a live production product that receives a high volume of support requests from clients, often related to malfunctioning or misconfigured features. The team plays a critical role in diagnosing, triaging, and resolving these issues—particularly with in-progress hiring events that are not functioning as expected. This involves debugging issues across systems, collaborating closely with the Client Support and GTM teams, and maintaining high client satisfaction, measured in part by user ratings.</span></span></span></span></span></span></p><br><span><span>What You'll Do</span></span><ul><li><p><span><span>Analyze and resolve production issues, especially related to ongoing hiring events.</span></span></p><br></li><li><p><span><span>Work closely with client-facing teams to address and triage support tickets.</span></span></p><br></li><li><p><span><span>Ensure timely resolution of issues to meet established SLAs.</span></span></p><br></li><li><p><span><span>Monitor production systems; respond swiftly to alerts or degradation in performance ("going red").</span></span></p><br></li><li><p><span><span>Support architecture changes and system integrations that may impact hiring events.</span></span></p><br></li><li><p><span><span>Maintain and update event logic in response to changes in dependencies and systems.</span></span></p><br></li></ul><br><br><span>Requirements<span>​</span><br><br></span><p><span><span><span><span><b><span><span>Must Have &gt; 7+ yrs</span></span></b><br></span></span></span></span></p><br><ul><li><p><b><span><span>1st Priority:</span></span></b><span><span>Java/Springboot (Event Management Backend, Lobby Backend) – Primary</span></span><br></p><br></li><li><p><b><span><span>2nd Priority:</span></span></b><span><span>Django/Python (Event Management Backend, Lobby Backend) – Secondary</span></span><br></p><br></li><li><p><span><span>React (Event Management Frontend, Lobby Frontend, IRL Frontend, Jobseeker Frontend)</span></span><br></p><br></li><li><p><span><span>Kafka (Event Management Backend)</span></span><br></p><br></li><li><p><span><span>GraphQL (Event Management Backend, Lobby Backend)</span></span><br></p><br></li><li><p><span><span>SQL or MongoDB (Event Management Backend, Lobby Backend)</span></span><br></p><br></li><li><p><span><span>Build and deployment experience</span></span><br></p><br></li><li><p><span><span>Senior-level engineer capable of ramping up quickly and assuming ownership over multiple projects</span></span><br></p><br></li><li><p><span><span>High level of ownership and autonomy</span></span><br></p><br></li><li><p><span><span>Experience with at least one of the following: Dagster, Data Lakes, or Amazon Athena</span></span><br></p><br></li></ul><p><span><span><span><span><b><span><span>Nice to Have</span></span></b><br></span></span></span></span></p><br><ul><li><p><span><span>Product Manager experience working with GTM teams and engineers to help with prioritization</span></span><br></p><br></li><li><p><span><span>Experience with AI-assisted development tools: Claude, Cursor, Windsurf</span></span><br></p><br></li></ul><p><span><span><span><span><b><span><span>Soft Skills Required</span></span></b><br></span></span></span></span></p><br><ul><li><p><span><span>Work independently and autonomously</span></span><br></p><br></li><li><p><span><span>Take initiative rather than waiting for instructions; own merging and deploying code without "hand holding"</span></span><br></p><br></li><li><p><span><span>Leadership and shepherding – ability to lead, shepherd, and onboard other engineers</span></span><br></p><br></li><li><p><span><span>Clear and concise communication</span></span><br></p><br></li><li><p><span><span>Handle ambiguity</span></span><br></p><br></li><li><p><span><span>Prioritization and strategic thinking</span></span><br></p><br></li><li><p><span><span>Use data to troubleshoot production issues</span></span><br></p><br></li></ul><p><span><span><span><span><b><span><span>Note:</span></span></b><span><span>Technical leadership experience, ability to manage ambiguity, and experience overseeing or coordinating work of others are required. Senior engineer experience alone is not sufficient for the Tech Lead role.</span></span><br></span></span></span></span></p><br><span>​</span><br><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Do you want to love what you do at work? Do you want to make a difference, an impact, transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average? If yes, then this is the job you're looking for , webook.com is Saudi's #1 event ticketing and experience booking platforms in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion sales.</p><p>Key Responsibilities:</p><ul><li><strong>Data Integration and ETL Development</strong>: Architect and implement robust data integration pipelines to extract, transform, and load data from various sources (e.g., databases, SaaS applications, APIs, and flat files) into a centralized data platform. Design and develop complex ETL (Extract, Transform, Load) processes to ensure data quality, consistency, and reliability. Optimize data transformation workflows to improve performance and scalability.</li><li><strong>Data Infrastructure and Platform Management</strong>: Implement and maintain data ingestion, processing, and storage solutions to support the organization's data and analytics requirements. Ensure the reliability, security, and availability of the data infrastructure through effective monitoring, troubleshooting, and disaster recovery planning.</li><li><strong>Data Governance and Metadata Management</strong>: Collaborate with the data governance team to establish data policies, standards, and procedures. Develop and maintain a comprehensive metadata management system to ensure data lineage, provenance, and traceability. Implement data quality control measures and data validation processes to ensure the integrity and reliability of the data.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>5-6 years of experience as a Data Engineer or a related role in a data-driven organization. Proficient in designing and implementing data integration and ETL pipelines using tools such as Apache Airflow, airbyte, or any cloud-based data integration services. Strong experience in setting up and managing data infrastructure, including data lakes, data warehouses, and real-time streaming platforms (e.g. Elastic , Google Bigquery, Mongodb). Expertise in data modeling, data quality management, and metadata management. Proficient in programming languages such as Python, or Java, and experience with SQL. Familiarity with cloud computing platforms (e.g., AWS,Google Cloud) and DevOps practices. Excellent problem-solving skills and the ability to work collaboratively with cross-functional teams. Strong communication and presentation skills to effectively translate technical concepts to business stakeholders.</p><p>Preferred Qualifications:</p><ul><li>Familiarity with data visualization and business intelligence tools (e.g., Tableau, qlik.etc).</li><li>Knowledge of machine learning and artificial intelligence concepts and their application in data-driven initiatives.</li><li>Project management experience and the ability to lead data integration and infrastructure initiatives.</li></ul><p>If you are a seasoned Data Engineer with a passion for building scalable and robust data integration solutions, we encourage you to apply for this exciting opportunity</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Systems Administrator is responsible for the effective provisioning, installation, configuration, operation, and maintenance of systems hardware, software, and related infrastructure in both Windows and Linux environments. This role ensures that IT systems run efficiently and securely, serving the needs of the organization. The candidate will work with various teams to design and implement solutions that enhance IT service delivery.</p><p><strong>Primary Duties and Responsibilities</strong></p><p><strong>System Administration (Windows &amp; Linux):</strong></p><ul><li>Manage and maintain both Windows Server and Linux environments, ensuring high availability, security, and performance.</li><li>Install, configure, and update server operating systems, applications, and related infrastructure.</li><li>Monitor server health, performance, and security to identify and resolve potential issues.</li><li>Perform system backups, restore operations, and disaster recovery planning.</li><li>Manage user accounts, permissions, and access control on both Windows and Linux systems.</li></ul><p><strong>Security &amp; Compliance:</strong></p><ul><li>Implement and maintain security protocols, patch management, and vulnerability assessments for both environments.</li><li>Ensure systems comply with relevant industry standards and regulations (e.g., SOC2, PCI-DSS , GDPR).</li><li>Administer Active Directory (AD) and domain security policies on Windows systems.</li></ul><p><strong>Networking &amp; Infrastructure:</strong></p><ul><li>Collaborate with network and security teams to optimize system integrations and improve IT infrastructure resilience.</li></ul><p><strong>Automation &amp; Scripting:</strong></p><ul><li>Develop and maintain automation scripts for routine tasks using PowerShell, Bash, Python, or other scripting languages.</li><li>Automate system deployments, monitoring, and updates for both Windows and Linux environments.</li></ul><p><strong>Virtualization &amp; Cloud:</strong></p><ul><li>Manage virtualization platforms such as VMware, Hyper-V, or other hypervisors.</li><li>Support cloud infrastructure (e.g., AWS, Azure) as part of a hybrid environment, managing servers and services deployed in the cloud.</li><li>Migrate workloads between on-premises and cloud platforms when needed.</li></ul><p><strong>Technical Support &amp; Troubleshooting:</strong></p><ul><li>Provide advanced troubleshooting support for system issues, ensuring timely resolution of critical incidents.</li><li>Collaborate with helpdesk and other IT staff to provide technical assistance and training to end-users.</li><li>Document system configurations, procedures, and troubleshooting guides for future reference.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in computer science, Information Technology, or a related field (or equivalent work experience).</li><li>3-5 years of experience as a Systems Administrator or similar role, with experience managing both Windows and Linux environments.</li><li>Strong knowledge of Windows Server (Active Directory, Group Policy, DNS, DHCP) and Linux distributions (Red Hat, Ubuntu, CentOS).</li><li>Proficiency with scripting and automation using PowerShell, Bash, or Python.</li><li>Experience with virtualization technologies (e.g., VMware, Hyper-V).</li><li>Familiarity with cloud environments (AWS, Azure, or GCP).</li><li>Solid understanding of networking concepts and protocols (e.g., TCP/IP, DNS, VPN).</li><li>Relevant certifications are a plus (e.g., Microsoft Certified: Windows Server, CompTIA Linux+, Red Hat Certified System Administrator, AWS Certified SysOps Administrator).</li><li>Requires occasional on-call support for critical system incidents and maintenance during off-hours.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Summary: We are seeking an experienced SIEM Deployment Engineer to lead or support the deployment, configuration, and optimization of Splunk or SIEM solutions across enterprise environments.<br> The ideal candidate will possess strong technical knowledge in security operations, log management, and compliance, along with hands-on experience in implementing for clients.<br> Key Responsibilities: Lead end-to-end deployment of Splunk or SIEM platform, including planning, architecture design, installation, configuration, and tuning.<br> Integrate log sources from various platforms (Windows, Linux, firewalls, routers, endpoint protection, etc.<br>). Develop custom parsers and log normalization rules.<br> Build correlation rules, alerts, dashboards, and reports based on customer requirements.<br> Conduct use case development, threat detection tuning, and optimization of false positives.<br> Collaborate with SOC teams to ensure effective threat monitoring and incident detection.<br> Document implementation procedures, configuration guides, and troubleshooting steps.<br> Provide knowledge transfer and training to internal teams or clients.<br> Ensure compliance with industry standards (e.<br>g., NCA ECC, SAMA CSF, ISO 27001).<br> Required Skills and Qualifications: Bachelor’s degree in Computer Science, Cybersecurity, or related field.<br> 8-10 years of experience in Splunk or SIEM deployment and cybersecurity.<br> Proven experience with LogRhythm SIEM deployment in enterprise environments.<br> Strong understanding of log analysis, incident response, and threat detection.<br> Familiarity with log source integration: Windows Event Logs, Syslog, NetFlow, etc.<br> Scripting experience (PowerShell, Python, etc.<br>) is a plus.<br> Knowledge of cybersecurity frameworks (MITRE ATT&amp;CK, NIST, etc.<br>) is an advantage.<br> LogRhythm certifications (e.<br>g., LogRhythm Deployment Fundamentals, LogRhythm Analyst) are a strong plus.<br></span> </div>