Interior Designer Jobs in Jordan

<p>We are seeking a Graduate Engineer Roads and Civil to join our Design team in Amman, Jordan. This is an excellent opportunity for a recent graduate to launch their engineering career within a dynamic and collaborative environment. You will work alongside experienced engineers on the design and development of road and civil infrastructure projects, contributing to the planning and technical delivery of schemes from conception through to completion.</p><p> - Assist in the design and analysis of road and civil infrastructure projects, utilising industry-standard software and design principles Prepare technical drawings, specifications, and design documentation in accordance with relevant standards and codes - Conduct site surveys and analyse data to support design development and decision-making - Collaborate with senior engineers and multidisciplinary teams to develop innovative solutions to engineering challenges - Review and quality-assure design outputs to ensure accuracy, compliance, and adherence to project requirements Contribute to the preparation of design reports and technical presentations for clients and stakeholders - Maintain organised project records and documentation throughout the design process - Support the team in meeting project deadlines and delivering high-quality outputs - Engage in continuous professional development and stay abreast of emerging design methodologies and technologies</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Strong knowledge of civil engineering design principles, particularly in roads and transportation infrastructure</li><li>Proficiency in CAD software, such as AutoCAD or Civil 3D</li><li>Ability to produce accurate technical drawings and design documentation</li><li>Solid understanding of design standards, codes, and regulatory requirements</li><li>Excellent analytical and problem-solving skills</li><li>Strong attention to detail and organisational abilities</li><li>Effective communication and people skills</li><li>Ability to work collaboratively within a team environment</li></ul><p><strong>Desirable:</strong></p><ul><li>Experience with Building Information Modelling (BIM) and associated software</li><li>Familiarity with traffic engineering principles and analysis</li><li>Knowledge of hydraulic and drainage design</li><li>Experience with specialist design software such as HEC-RAS</li><li>Basic project management experience or awareness</li><li>Understanding of sustainable design practices in civil infrastructure</li></ul>

<p>We are seeking a Graduate Engineer Roads and Civil to join our Design team in Amman, Jordan. This is an excellent opportunity for a recent graduate to launch their engineering career within a dynamic and collaborative environment. You will work alongside experienced engineers on the design and development of road and civil infrastructure projects, contributing to the planning and technical delivery of schemes from conception through to completion.</p><p>- Assist in the design and analysis of road and civil infrastructure projects, utilising industry-standard software and design principles</p><p>- Prepare technical drawings, specifications, and design documentation in accordance with relevant standards and codes</p><p>- Conduct site surveys and analyse data to support design development and decision-making</p><p>- Collaborate with senior engineers and multidisciplinary teams to develop innovative solutions to engineering challenges</p><p>- Review and quality-assure design outputs to ensure accuracy, compliance, and adherence to project requirements</p><p>- Contribute to the preparation of design reports and technical presentations for clients and stakeholders</p><p>- Maintain organised project records and documentation throughout the design process</p><p>- Support the team in meeting project deadlines and delivering high-quality outputs</p><p>- Engage in continuous professional development and stay abreast of emerging design methodologies and technologies</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Strong knowledge of civil engineering design principles, particularly in roads and transportation infrastructure</li><li>Proficiency in CAD software, such as AutoCAD or Civil 3D</li><li>Ability to produce accurate technical drawings and design documentation</li><li>Solid understanding of design standards, codes, and regulatory requirements</li><li>Excellent analytical and problem-solving skills</li><li>Strong attention to detail and organisational abilities</li><li>Effective communication and people skills</li><li>Ability to work collaboratively within a team environment</li><li>Experience with Building Information Modelling (BIM) and associated software</li><li>Familiarity with traffic engineering principles and analysis</li><li>Knowledge of hydraulic and drainage design</li><li>Experience with specialist design software such as HEC-RAS</li><li>Basic project management experience or awareness</li><li>Understanding of sustainable design practices in civil infrastructure</li></ul>

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

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

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

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

<p><h4>Job purpose</h4> <p>Exists to design and develop high-quality SharePoint applications (Online or on-premises) to serve the business need. Develop new features and infrastructure development in support of rapidly emerging business and project requirements. Assume leadership of new projects from conceptualization to deployment. Ensure application performance, uptime, and scale, maintaining high standards of code quality and thoughtful application design. Select and work with the best SDLC model for different digital solutions required from the internal customer. Adhere to best practices and pursue continued learning opportunities.</p> <h4>Key accountability areas</h4> <p><strong>Deployment:</strong><br> Oversee the SharePoint user access and application deployment.</p> <p><strong>SharePoint technologies:</strong><br> Maintain and help administer SharePoint 2013 and SharePoint Online, including daily monitoring, troubleshooting, and performance analysis.<br> Perform typical administrative activities such as backup, restore, site creation, and user issue resolution.</p> <p><strong>Configuration:</strong><br> Configure and maintain document libraries, lists, and WSS site collections and deploy SharePoint at the enterprise level in a distributed environment.<br> Participate in the gathering of requirements and documentation from non-technical business users.</p> <p><strong>Development:</strong><br> Work with business users to gather requirements, write specifications, and code changes needed to install and support SharePoint customization, changes, and enhancements.<br> Apply industry-standard object-oriented programming best practices and design patterns.<br> Develop, test, and refine the applications to meet stakeholder requirements and establish user interface design.<br> Isolate, diagnose, repair, and resolve software problems.</p> <p><strong>Design:</strong><br> Create logical and functional software code in a variety of languages, particularly those related to SharePoint.<br> Create functional design documents, translate the business requirements into system requirements, create a prototype of recommended solutions, demo to the users, and implement the solution including new site creation, configuration, and custom workflows.</p> <p><strong>Coaching and mentoring:</strong><br> Provide the necessary technical guidance and support for junior consultants to ensure the team can produce high-quality technical solutions with a very low defect rate while meeting deadlines.<br> Provide general program management and consulting tasks to support the other areas of the governance team with business planning.</p> <h4>Role accountability</h4> <p><strong>HR proficiency:</strong><br> Ability to obtain updated soft and technical skills related to the job.</p> <p><strong>Delivery:</strong><br> Perform the planned activities to meet the operational and development targets as per delivery schedules.<br> Utilize resources effectively to achieve objectives within efficient cost and time.<br> Provide a periodic report formatted by detailing the deviation and execution of planned tasks.</p> <p><strong>Problem-solving:</strong><br> Solve any related problems that arise and escalate any complex operational issues.</p> <p><strong>Quality:</strong><br> Ensure quality requirements to develop effective quality control and processes including specifications for products or processes or related activities.</p> <p><strong>Business process improvements:</strong><br> Coordinate well-defined written systems, policies, procedures, and seek automation opportunities as much as possible.</p> <p><strong>Compliance:</strong><br> Comply with related policy and procedures and work instructions.</p> <p><strong>Health, safety, and environment:</strong><br> Ensure compliance of relevant safety, quality, and environmental management procedures and controls within defined area of work activity to guarantee safety, legislative compliance, and delivery of high-quality products/services.</p> <h4>Academic qualification</h4> <p>Bachelor degree in Information Technology or any relevant field</p> <h4>Work experience</h4> <p>4 to 6 years</p> <h4>Technical / functional competencies</h4> <ul> <li>Applications development standards and procedures</li> <li>Applications knowledge</li> <li>Applications system analysis</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>A QC Lead is a hands-on quality control professional who personally executes and oversees both manual and automation testing activities to ensure that delivered products and services meet established quality standards.<br> The QC Lead writes and runs test cases, builds and maintains automation frameworks, owns the delivery of all testing artifacts, and is directly accountable for the UAT success of each project.<br> This is a full-time position reporting to the Quality Manager.<br> Ideal candidates are strong technical practitioners who lead by example, enjoy solving problems first-hand, and thrive in fast-paced, collaborative environments Daily and Monthly Responsibilities • Hands-on experience to design, write, and execute manual test cases, test scenarios, and test scripts covering functional, regression, integration, and end-to-end testing.<br> • Perform hands-on exploratory, smoke, and sanity testing to validate builds before release.<br> • Architect, develop, and maintain automated test frameworks and scripts, and personally run automated test suites as part of daily testing cycles.<br> • Write and review automation code, continuously enhancing test coverage and integrating automated tests into CI/CD pipelines.<br> • Develop, maintain, and enhance the test automation infrastructure to improve efficiency and reliability.<br> • Prepare, maintain, and deliver all testing artifacts for each delivered project, including test plans, test cases, test data, traceability matrices, test execution reports, defect reports, and test summary reports.<br> • Own and drive User Acceptance Testing (UAT) end-to-end — plan UAT cycles, prepare UAT test cases and environments, coordinate with stakeholders, execute UAT scenarios, and be directly responsible for the UAT success of the project.<br> • Execute and report on planned tests, log and manage defects with clear reproduction steps, and regress software fixes for new and existing products.<br> • Identify root causes of quality problems through hands-on investigation and coordinate corrective actions with development teams.<br> • Assist development teams with replicating, debugging, and resolving defects by personally reproducing issues in test environments.<br> • Perform hands-on business requirements review and verification to ensure testability, completeness, and adequate test coverage.<br> • Participate actively in all phases of the software development lifecycle, from requirements analysis through test planning, execution, and sign-off.<br> • Lead the QC team by example — set quality benchmarks, assign tasks, and guide the team while remaining actively involved in day-to-day testing work.<br> • Mentor and train junior, mid-level, and senior QC engineers on manual testing techniques, automation tools, policies, and procedures.<br> • Work collaboratively with development and business groups to complete testing and ensure seamless product delivery.<br> • Develop and implement quality standards, audit functionality, establish testing templates, monitor outcomes against success measures, and provide detailed status reports.<br> • Identify areas for quality and process improvement and implement plans to support positive outcomes for the business and customers.<br> • Coordinate with internal and external stakeholders regarding quality status, test outcomes, and project readiness.<br> • Assist with performance evaluations as needed.<br> • Perform other duties as assigned.<br> • Bachelor's degree in Engineering, Computer Science, Information Technology, or equivalent education and work experience.<br> • 8+ years of hands-on experience in software quality control/testing, with at least 3–4 years in a lead or supervisory role.<br> • 5+ years of hands-on experience in manual testing (functional, regression, integration, end-to-end).<br> • 2+ years of hands-on experience in test automation (framework development, scripting, CI/CD integration).<br> • Professional certification such as ISTQB-CTFL or ISTQB-CTAL.<br> • Proven hands-on experience executing both manual testing (functional, regression, integration, end-to-end) and test automation (framework development, scripting, CI/CD integration).<br> • Proficiency in test automation tools and frameworks (e.<br>g., Selenium, Cypress, Appium, TestNG, JUnit, or similar) with the ability to write, debug, and maintain automation code.<br> • Proficiency in at least one programming or scripting language (e.<br>g., Java, Python, JavaScript).<br> • Demonstrated experience preparing and delivering complete testing artifacts (test plans, test cases, traceability matrices, defect reports, test summary reports).<br> • Track record of owning UAT cycles and driving them to successful completion.<br> • Strong problem-solving skills with the ability to personally identify bugs, analyse root causes, and drive resolution.<br> • In-depth knowledge of testing methodologies, phases, and approaches, including functional, regression, integration, performance, and end-to-end testing.<br> • Strong teamwork and communication skills, with the ability to collaborate effectively with QC, development, and business groups.<br> • Ability to multi-task, triage issues, react well to changes, and work independently or in a team setting in a fast-paced environment.<br> • Excellent command of written and spoken English.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>1- Administrative and Leadership Supervision:</b></p><p>• Lead and direct the warehouse team (Warehouse Keeper, Assistants) while assigning daily tasks and evaluating their performance regularly.</p><p>• Implement OHSAS/ISO safety and health standards within the warehouses to ensure a safe and organized working environment.</p><p><br></p><p><b>2- Inventory Management:</b></p><p>• Strictly monitor the movement of technical inventory (spare parts, tools, industrial equipment) through documented processes (receiving, issuing, returning, inter-warehouse transfers).</p><p>• Design and implement an advanced Barcoding/Coding System that ensures 100% accuracy and quick access to items.</p><p>• Plan and oversee all types of stocktaking (surprise stocktaking, quarterly stocktaking, and annual comprehensive stocktaking) and reconcile with the records.</p><p><br></p><p><b>3- Strategic Planning and Supply Chain:</b></p><p>• Continuously monitor inventory levels and identify critical stock transactions: safety stock limits, maximum limits, and reorder points to prevent excess or shortage.</p><p>• Conduct regular meetings and coordinate with the maintenance manager and technical engineers to understand preventive and corrective maintenance plans, ensuring critical parts are secured in advance to prevent production line stoppages.</p><p>• Prepare and validate technical purchase requests based on actual needs and consumption patterns, and coordinate with the procurement department to ensure timely delivery (JIT).</p><p><br></p><p><b>4- Technical Inspection and Quality:</b></p><p>• Review and inspect incoming shipments upon arrival, reading catalogs and technical specifications to ensure compliance with purchase orders before signing for receipt.</p><p>• Manage and track requirements and specifications related to defective or non-compliant items with the procurement department and suppliers.</p><p><br></p><p><b>5- Reporting and Data Analysis:</b></p><p>• Professionally work on ERP Systems and database warehouses to update inventory records promptly.</p><p>• Prepare and submit regular reports to senior management including: inventory movement report, slow-moving items report, dead stock report, actual consumption analysis, and variance analysis.</p><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><br></p><ul><li>Proficient in data analysis using Microsoft Excel.</li><li>Strong leadership personality capable of managing individuals and resolving conflicts under work pressure.</li><li>Negotiation and persuasion skills.</li><li>Strong observation and auditing capabilities.</li><li>Ability to work under pressure.</li></ul></div>

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

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Senior Microsoft Presales Engineer is responsible for driving customer engagement, solution positioning, and technical presales activities across Microsoft Infrastructure, Security, Modern Workplace, and Cloud solutions. The role acts as a trusted technical advisor to enterprise customers, supporting digital transformation initiatives through consultative solution design, technical workshops, demonstrations, and strategic customer engagements. Working closely with Account Managers, Architects, Product teams, and Microsoft stakeholders, the engineer plays a key role in identifying customer requirements, positioning Microsoft technologies, developing technical proposals, and supporting pipeline growth across the region. The role combines deep Microsoft technical expertise with strong customer-facing, presentation, and solution-selling capabilities.</p><p>Responsibilities:</p><ul><li>Customer Engagement &amp; Solution Consulting<ul><li>Engage with customers to understand: Business challenges, Security and infrastructure requirements, Digital transformation objectives, and Existing technology environments</li><li>Conduct assessments of customer infrastructure, cloud, and security landscapes</li><li>Support customers in defining technical requirements and contributing to: RFP responses, RFI documentation and Technical solution requirements</li><li>Act as a trusted advisor throughout the customer engagement lifecycle</li></ul></li><li>Solution Positioning &amp; Technical Presales<ul><li>Position Microsoft solutions as best-in-class offerings by articulating: Business value, Competitive advantages, Technical capabilities and Security and operational benefits</li><li>Demonstrate Microsoft solution advantages over competitive technologies and existing customer environments</li><li>Support customers throughout technical evaluations and decision-making processes</li><li>Prepare Technical proposals, Solution presentations, Architecture recommendations and Technical response documentation</li></ul></li><li>Microsoft Security, Cloud &amp; Infrastructure Solutions<ul><li>Design and position solutions across: Microsoft 365 E3 &amp; E5, Microsoft Security &amp; Compliance solutions, Microsoft Defender Suite, Microsoft Sentinel (SIEM), Azure Active Directory (SSO, MFA, Identity Security), Microsoft Purview and Data Protection solutions, Intune and Endpoint Management, Azure Infrastructure, Backup, DR, and Migration services, Hybrid and on-premise Microsoft infrastructure solutions</li><li>Support Azure sizing, migration, and modernization discussions with enterprise customers</li><li>Maintain strong awareness of Microsoft cloud, infrastructure, and security best practices</li></ul></li><li>Workshops, Demonstrations &amp; Technical Presentations<ul><li>Lead Customer workshops, Technical demonstrations, Solution presentations and Executive briefings</li><li>Deliver tailored presentations addressing customer-specific business and technical challenges</li><li>Educate customers on Microsoft cloud, infrastructure, and cybersecurity capabilities</li><li>Support customer enablement and awareness initiatives across Microsoft technologies</li></ul></li><li>Pipeline Development &amp; Sales Support<ul><li>Contribute to pipeline generation and opportunity development activities as part of the Presales organization</li><li>Support opportunity qualification, technical validation, and deal progression across strategic customer engagements</li><li>Collaborate closely with Sales and Account Management teams to align technical and commercial strategies</li><li>Maintain visibility on opportunity progression and customer engagement activities</li></ul></li><li>Cross-Functional Collaboration<ul><li>Work closely with Account Managers, Technical Architects, Product teams, Delivery teams and Microsoft stakeholders</li><li>Support successful transition from presales to delivery and implementation phases</li><li>Collaborate with customer IT and security teams to ensure solution alignment and technical readiness</li></ul></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>8+ years of experience in Microsoft solution sales, Technical presales, Cloud and infrastructure consulting, Enterprise ICT environments</p><p>Strong expertise across Microsoft Cloud, Security, Productivity, Infrastructure solutions</p><p>Strong understanding of Enterprise security principles, Cloud migration and modernization, Identity and access management, Data protection and compliance solutions</p><p>Experience supporting enterprise and strategic customer engagements</p><p>Familiarity with non-Microsoft security technologies such as VMware, Trend Micro EPP/EDR, Forcepoint DLP is highly desirable</p><p>Bachelor's degree in Computer Science, Information Technology, Engineering or a related technical field</p><p>Microsoft cloud and security certifications are an advantage</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong><strong>Job Description<br>Job Role - Senior/ Principal MEP Engineer (Building Services)&nbsp;<br>Verbal and written communication in English is mandatory<br> Strong Experience-&nbsp;<br></strong></strong><ul><li>8–15 years of Mechanical Building Services Design experience</li><li><strong>Strong HVAC Design background</strong></li><li><strong>Commercial/Residential/Mixed-Use project experience</strong></li><li><strong>ASHRAE &amp; NFPA knowledge</strong></li><li><strong>GCC/Middle East project experience</strong></li></ul><strong><br>Responsibilities:</strong><br><ul><li>Support and deliver mechanical design packages for building services projects</li><li>Work on HVAC, plumbing, drainage, and fire protection systems</li><li>Ensure designs comply with international codes (ASHRAE, NFPA, BS) and local authority requirements</li><li>Contribute to sustainable design solutions, including energy-efficient systems</li><li>Coordinate with multidisciplinary teams, clients, and contractors</li><li>Prepare and review technical deliverables</li><li>Support project delivery from concept through to commissioning</li></ul><br> <strong>Requirements:</strong><br><ul><li>Bachelor’s degree in Mechanical Engineering</li><li>8–15 years of experience in mechanical building services design</li><li>Good knowledge of international standards and local authority requirements</li><li>Experience working on building projects (commercial, residential, mixed-use)</li><li>Strong coordination and communication skills</li><li>Middle East experience preferred</li></ul><br>With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil &amp; Gas, Power &amp; Renewables, Chemicals, Construction &amp; Infrastructure, Life Sciences, Mining and&nbsp;Manufacturing&nbsp;sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients. <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><u><b>Job Summary</b></u> <br></span><p>The Senior Project Engineer ensures that projects are completed in a safely manner and meets the project objectives through planning and scheduling, resource allocation and management, cost control, technical direction, compliance with quality standards and procedures. Assists the Project Manager in overseeing the Operational Management areas: Human Resource Management, Project Planning, Cost Management, Time Management, Quality Management, Contract Administration, Safety Management, Subcontract management, Material Procurement and Management of all Projects System Assembly</p><br> <br><br><u><b>Job Responsibilities 1</b></u> <br><p>Manage and oversee projects from conception to completion, ensuring adherence to schedules, budgets, and quality standards.</p><br> <p>Coordinate with architects, engineers, contractors, and subcontractors to develop project plans, specifications, and timelines.</p><br> <p>Supervise activities on-site, including scheduling labor, materials, and equipment to ensure efficient project execution.</p><br> <p>Monitor project progress, identifying potential delays, risks, and issues, and implementing corrective actions as necessary.</p><br> <p>Conduct regular inspections and quality control checks to ensure compliance with design specifications and regulatory requirements.</p><br> <p>Prepare and review project documentation, including contracts, change orders, and progress reports, to maintain accurate records.</p><br> <p>Communicate regularly with clients, stakeholders, and project teams to provide updates on project status, milestones, and deliverables.</p><br> <p>Manage project budgets and expenditures, tracking costs and forecasting expenses to ensure financial objectives are met.</p><br> <p>Identify opportunities for process improvements and efficiencies to enhance project delivery and outcomes.</p><br> <p>Ensure compliance with safety regulations and promote a culture of safety awareness among project teams and subcontractors.</p><br> <p>Support the implementation of HSE initiatives, participate in safety awareness activities, and contribute to incident reporting and resolution in alignment with company and IMS policies</p><br> <br><br><u><b>Job Responsibilities 2</b></u> <br><br><b>Additional Responsibilities 3</b> <br><br><u><b>Job Knowledge &amp; Skills</b></u> <br><p>n-depth understanding of construction principles, methods, and materials.</p><br> <p>Proficiency in project management software and tools for scheduling, budgeting, and documentation.</p><br> <p>Strong communication skills to effectively liaise with stakeholders, subcontractors, and project teams.</p><br> <p>Problem-solving abilities to address challenges and obstacles encountered during project execution.</p><br> <p>Leadership skills to effectively manage teams and coordinate construction activities on-site.</p><br> <p>ERP knowledge preferably SAP functional skills are a requirement to be successful in this role.</p><br><br><br><u><b>Job Experience</b></u> <br><p>Minimum 8 year(s) working experience, 5 year(s) relevant working experience, 2 year (s) GCC is a plus</p><br><br><br><u><b>Competencies</b></u> <br>Agility<br>AI Fluency<br>Resilience<br>Quality<br>Leadership<br>Contingency Workforce Management L3<br>Commercial &amp; Residential Construction L3<br>Project Planning L3<br>Construction Budgeting L3<br>Project Management L3<br><br><br><u><b>Education</b></u> <br>Profesional degree in MMUP Engineer Registration (UPDA)<br>Bachelor's Degree in Civil Engineering or any related field<br><br><br><br> </div>

<p><h4>Description</h4> <p>Manual & automation QA engineer</p> <p>We're looking for a skilled QA engineer who's equally comfortable crafting detailed test plans by hand and building robust automation frameworks. You'll ensure that every feature we ship meets the highest quality bar — including our growing suite of AI-powered capabilities.</p> <h4>Our stack</h4> <p><strong>Test automation:</strong> Playwright / Cypress<br> <strong>Unit & integration:</strong> Jest / Pytest<br> <strong>API testing:</strong> REST & GraphQL<br> <strong>Database:</strong> PostgreSQL<br> <strong>DevOps:</strong> CI/CD pipelines, GitHub Actions, AWS<br> <strong>AI:</strong> AI agents / LLMs (non-deterministic testing)</p> <h4>What you'll do</h4> <ul> <li>Design, write, and maintain manual test plans and test cases for features across the full product</li> <li>Build and scale automation frameworks for regression, integration, and end-to-end testing</li> <li>Test AI-powered features including LLM outputs, agent behavior, and model responses for accuracy, safety, and consistency</li> <li>Collaborate closely with developers and product managers to shift QA left in the development lifecycle</li> <li>Define and track quality metrics, identify risk areas, and surface issues early before they reach production</li> <li>Develop evaluation strategies for non-deterministic systems — including prompt variation testing and output validation pipelines</li> <li>Participate in sprint planning and retrospectives as the quality voice on the team</li> </ul> <h4>What we're looking for</h4> <ul> <li>2+ years of professional experience in software quality assurance, covering both manual and automation testing</li> <li>Hands-on experience testing AI agents, LLM-powered features, or ML models — understanding their non-deterministic nature is a must</li> <li>Proficiency in at least one modern automation framework (Playwright, Cypress, Selenium, or equivalent)</li> <li>Strong API testing skills using tools like Postman, REST Assured, or similar</li> <li>Experience working in agile environments with CI/CD pipelines and integrated test gates</li> <li>A methodical, curious mindset — you find edge cases others miss, and you document everything clearly</li> <li>Solid communication skills to write clear bug reports, test documentation, and quality summaries</li> </ul> <h4>Bonus points if you…</h4> <ul> <li>Have experience evaluating agentic workflows, multi-step reasoning chains, or RAG pipelines</li> <li>Have worked with LLM evaluation frameworks like RAGAS, LangSmith, or Promptfoo</li> <li>Use AI coding tools like Cursor or Claude in your daily QA workflow — we actively encourage it</li> <li>Have built custom eval harnesses or synthetic test data generators using LLMs</li> </ul> <h4>AI-first culture</h4> <p>We don't just build AI — we test it rigorously. Our QA engineers use Cursor and Claude to move faster, write better test cases, and automate the repetitive work. If you're already approaching quality assurance with AI tools in hand, you'll feel right at home.</p></p><p></p>

<p><h4>Description</h4> <p>Manual & automation QA engineer</p> <p>We're looking for a skilled QA engineer who's equally comfortable crafting detailed test plans by hand and building robust automation frameworks. You'll ensure that every feature we ship meets the highest quality bar — including our growing suite of AI-powered capabilities.</p> <h4>Our stack</h4> <p><strong>Test automation:</strong> Playwright / Cypress<br> <strong>Unit & integration:</strong> Jest / Pytest<br> <strong>API testing:</strong> REST & GraphQL<br> <strong>Database:</strong> PostgreSQL<br> <strong>DevOps:</strong> CI/CD pipelines, GitHub Actions, AWS<br> <strong>AI:</strong> AI agents / LLMs (non-deterministic testing)</p> <h4>What you'll do</h4> <ul> <li>Design, write, and maintain manual test plans and test cases for features across the full product</li> <li>Build and scale automation frameworks for regression, integration, and end-to-end testing</li> <li>Test AI-powered features including LLM outputs, agent behavior, and model responses for accuracy, safety, and consistency</li> <li>Collaborate closely with developers and product managers to shift QA left in the development lifecycle</li> <li>Define and track quality metrics, identify risk areas, and surface issues early before they reach production</li> <li>Develop evaluation strategies for non-deterministic systems — including prompt variation testing and output validation pipelines</li> <li>Participate in sprint planning and retrospectives as the quality voice on the team</li> </ul> <h4>What we're looking for</h4> <ul> <li>2+ years of professional experience in software quality assurance, covering both manual and automation testing</li> <li>Hands-on experience testing AI agents, LLM-powered features, or ML models — understanding their non-deterministic nature is a must</li> <li>Proficiency in at least one modern automation framework (Playwright, Cypress, Selenium, or equivalent)</li> <li>Strong API testing skills using tools like Postman, REST Assured, or similar</li> <li>Experience working in agile environments with CI/CD pipelines and integrated test gates</li> <li>A methodical, curious mindset — you find edge cases others miss, and you document everything clearly</li> <li>Solid communication skills to write clear bug reports, test documentation, and quality summaries</li> </ul> <h4>Bonus points if you…</h4> <ul> <li>Have experience evaluating agentic workflows, multi-step reasoning chains, or RAG pipelines</li> <li>Have worked with LLM evaluation frameworks like RAGAS, LangSmith, or Promptfoo</li> <li>Use AI coding tools like Cursor or Claude in your daily QA workflow — we actively encourage it</li> <li>Have built custom eval harnesses or synthetic test data generators using LLMs</li> </ul> <h4>AI-first culture</h4> <p>We don't just build AI — we test it rigorously. Our QA engineers use Cursor and Claude to move faster, write better test cases, and automate the repetitive work. If you're already approaching quality assurance with AI tools in hand, you'll feel right at home.</p></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>AI Trainer Location Irbid Jordan Job Type Full Time Onsite Language Requirement Arabic and English About the Role We are looking for a passionate and experienced AI Trainer to join our team in Irbid Jordan. The ideal candidate will have strong expertise in Artificial Intelligence Data Science and Machine Learning along with excellent teaching and communication skills. The role involves delivering practical and industry relevant training programs to adult learners and helping develop the next generation of AI professionals. Key Responsibilities Deliver training sessions on Artificial Intelligence Machine Learning Deep Learning Data Science Python Computer Vision Natural Language Processing and Large Language Models Develop training materials lesson plans assignments projects and assessments Customize training content based on learner skill levels and requirements Guide participants through hands on projects capstone assignments and real world AI use cases Provide technical feedback on coding assignments and project outcomes Monitor trainee progress and prepare performance reports Stay updated with the latest AI technologies tools and industry trends Collaborate with internal teams to improve training content and delivery Support learners in building AI portfolios GitHub repositories and practical projects Conduct mentoring sessions office hours and one on one coaching when required Requirements Bachelor degree in Computer Science Artificial Intelligence Data Science Software Engineering or a related field Minimum 4 years of experience in AI training teaching or technical instruction Strong practical knowledge of Python Pandas NumPy Scikit Learn TensorFlow and PyTorch Hands on experience with Machine Learning Deep Learning Natural Language Processing Large Language Models Computer Vision OpenCV Vision Language Models Data Science Data Analysis and MLOps fundamentals Excellent presentation classroom management and communication skills Ability to explain complex technical concepts to non technical audiences Experience training adult learners or corporate professionals is preferred Fluency in Arabic and English is required Ability to work onsite full time in Irbid Jordan<strong> </strong></p><br><br><br></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Preferred Skills Experience with Azure AI AWS SageMaker or Google Cloud AI Knowledge of Jupyter Notebook Google Colab Git and GitHub Experience in curriculum design and instructional content development Understanding of AI ethics responsible AI and AI governance Experience delivering bilingual training in Arabic and English Relevant certifications such as NVIDIA Deep Learning Institute Google Professional Machine Learning Engineer IBM Data Science Professional Certificate Microsoft Azure AI Engineer AI 102 or DeepLearning AI specializations are an advantage Candidates with published research technical articles or open source AI contributions will be preferred</p><p></p></section>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high-value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM-based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human-in-the-loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long-term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8 plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API-based system integration.<br> Experience designing and delivering production grade AI or data-driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low-value AI ideas.</p> <h4>Preferred qualifications:</h4> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image-based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li></p><p></p>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high-value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM-based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human-in-the-loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long-term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8 plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API-based system integration.<br> Experience designing and delivering production grade AI or data-driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low-value AI ideas.</p> <h4>Preferred qualifications:</h4> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image-based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li></p><p></p>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human in the loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8-plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API based system integration.<br> Experience designing and delivering production grade AI or data driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low value AI ideas.</p> <h4>Preferred qualifications:</h4> <ul> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li> </ul></p><p></p>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human in the loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8-plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API based system integration.<br> Experience designing and delivering production grade AI or data driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low value AI ideas.</p> <h4>Preferred qualifications:</h4> <ul> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li> </ul></p><p></p>