DevOps Engineer Jobs in UAE

Role Description<p>We are seeking technically skilled and detail-oriented professionals for the positions of <strong>DevOps Engineer / Cloud Engineer</strong>. These roles focus on infrastructure automation, cloud computing, deployment optimization, system reliability, and the development of scalable technology environments. The ideal candidates should demonstrate strong technical problem-solving abilities, analytical thinking, attention to detail, and a commitment to operational efficiency, security, and continuous improvement.</p><p>As a <strong>DevOps Engineer</strong>, you will contribute to streamlining software development and deployment processes by improving collaboration between development, testing, and operations teams. Responsibilities include developing and maintaining CI/CD pipelines, automating deployment workflows, managing configuration environments, and monitoring application performance. You will collaborate with software developers, quality assurance teams, and infrastructure specialists to improve release reliability and reduce manual operational tasks. Additional duties may include troubleshooting deployment failures, managing version control workflows, implementing infrastructure automation, maintaining monitoring systems, and supporting containerized applications. You will also help improve system availability, strengthen operational security, and establish consistent practices for software delivery and infrastructure management.</p><p>As a <strong>Cloud Engineer</strong>, you will focus on designing, implementing, maintaining, and optimizing cloud-based infrastructure and services. Responsibilities include configuring cloud resources, managing virtual environments, monitoring system performance, and supporting the availability and scalability of cloud applications. You will work closely with IT teams, software engineers, and security specialists to implement reliable cloud solutions that meet technical and business requirements. Additional duties may include managing cloud storage, configuring networks, supporting backup and recovery procedures, optimizing resource utilization, and troubleshooting cloud infrastructure issues. You will also contribute to cloud security, access management, cost optimization, and the continuous improvement of cloud architecture and operational practices.</p><p>Both positions require accurate technical documentation, effective communication, and collaboration across multidisciplinary teams. Successful candidates will contribute to reliable deployments, scalable infrastructure, efficient development workflows, and secure cloud services while supporting organizational objectives and maintaining professional engineering standards.</p>Qualifications<ul><li>A degree or diploma in Computer Science, Software Engineering, Information Technology, Computer Engineering, or a related technical discipline.</li><li>Strong understanding of operating systems, networking fundamentals, system administration, and infrastructure management.</li><li>Familiarity with Linux, scripting languages, version control systems, and troubleshooting tools.</li><li>Knowledge of CI/CD pipelines, deployment automation, configuration management, and software delivery practices is beneficial.</li><li>Understanding of cloud computing concepts, virtualization, networking, storage, and resource management.</li><li>Familiarity with platforms such as AWS, Microsoft Azure, or Google Cloud is an advantage.</li><li>Knowledge of containers, orchestration tools, infrastructure as code, or configuration automation is beneficial.</li><li>Understanding of monitoring, logging, backup procedures, disaster recovery, and system reliability.</li><li>Awareness of cloud security, identity and access management, encryption, and cost optimization.</li><li>Proficiency in Microsoft Office applications and technical documentation tools.</li><li>Strong analytical, organizational, and problem-solving skills, with attention to detail.</li><li>Effective communication skills, adaptability, and a commitment to continuous learning and technical excellence.</li></ul><li><br></li>

Description <p>GSS Tech Group is hiring a Senior Developer, Microsoft Dynamics 365 CRM, for a leading government financial institution in Abu Dhabi. You will design, build and maintain Dynamics 365 CRM solutions that support critical customer service and complaint management processes in a highly regulated environment.</p> <p>This is a hands on senior role. You will write code daily, lead the technical design of CRM solutions, and guide junior developers.</p> <p> <strong>Key responsibilities</strong> </p> <ul> <li>Lead the design, configuration, customization and implementation of Dynamics 365 CRM solutions aligned with business requirements</li> <li>Develop, test and deploy custom solutions using C#/.NET plugins, custom workflow activities, JavaScript and the Dynamics 365 SDK, covering both server side and client side development</li> <li>Build forms, views, dashboards, business rules, workflows and business process flows to automate processes and improve user experience</li> <li>Integrate Dynamics 365 with enterprise systems using REST/SOAP APIs, web services, Azure Logic Apps, Azure Functions and Azure Service Bus</li> <li>Lead solution architecture for CRM projects in line with enterprise architecture standards</li> <li>Configure security roles, business unit hierarchies and data management, and tune system performance</li> <li>Support system upgrades, patching and migration activities</li> <li>Conduct code reviews, manage version control and enforce development standards</li> <li>Prepare technical documentation, including solution designs, system documentation and release notes</li> <li>Mentor junior team members and work closely with business analysts, functional teams, project managers and Microsoft partners</li> </ul> Requirements <ul> <li>Bachelor s degree in Computer Science, Information Technology, Software Engineering or a related field</li> <li>Minimum 5 to 7 years of hands on experience with Microsoft Dynamics 365 CRM / Customer Engagement (online and/or on premises)</li> <li>Proven experience delivering at least one full lifecycle Dynamics 365 CRM implementation</li> <li>Strong proficiency in C#/.NET, JavaScript and Visual Studio, including plugin development and the Dynamics 365 SDK</li> <li>Hands on experience with Azure Logic Apps, Azure Functions, Azure Service Bus and Azure DevOps</li> <li>Strong knowledge of REST/SOAP APIs, web services and enterprise integration patterns</li> <li>Proficiency in SQL Server, T-SQL and database design</li> <li>Experience with Git/Azure DevOps, CI/CD pipelines and release management</li> <li>Knowledge of Agile/Scrum and ITIL</li> <li>Microsoft Certified: Dynamics 365 Functional Consultant Associate, Dynamics 365 Application Developer Associate or Power Platform Developer Associate (PL-400), or equivalent</li> <li>Experience in banking, financial services or a government or regulatory environment is strongly preferred</li> <li>Experience with Power Platform (Power Apps, Power Automate, Power BI) is an advantage</li> <li>Excellent written and spoken English</li> </ul> <p> <strong>Please note:</strong> this role is for Dynamics 365 CRM / Customer Engagement only. Profiles focused on Dynamics 365 Finance &amp; Operations, AX or Business Central will not be considered.</p> Benefits <ul> <li>Opportunity to work on a high profile CRM platform for a leading government financial institution</li> <li>Competitive monthly compensation</li> <li>UAE employment visa and medical insurance</li> <li>Long term engagement with growth opportunities through GSS Tech Group</li> </ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job SOFTWARE ENGINEER <p>We are looking for a motivated Software Engineer to join our project. In this role, you will play a key part in designing, developing, and industrializing advanced AI solutions for critical systems across defense, aviation, and aerospace sectors.</p><br> <p>As an active contributor to an agile team, you are expected to be a force of proposal, adaptable to change, and committed to continuous technical development to ensure the successful "Build &amp; Run" deployment of high-impact AI use cases.</p><br> <p><strong>Key Responsibilities</strong></p><br> <ul> <li>Design, develop, and maintain scalable back-end services using Java and Spring Boot as a Full Stack Developer.</li> <li>Design secure APIs and seamlessly integrate them with front-end components and external systems.</li> <li>Drive code quality and continuous integration using Jenkins, Maven, Artifactory, Git, Jira, and Sonar.</li> <li>Take code ownership and manage deployments into production in Linux environments using Ansible, Bash, SSH, and Docker.</li> <li>Prepare and deliver key project documentation, including SRS, design architecture, unit tests, test plans, release notes, and safety/security analyses.</li> <li>Collaborate within an agile team to ensure timely and high-quality software delivery.</li> </ul> <p><strong>Engineering Skills</strong></p><br> <ul> <li>Solid experience (4+ years minimum) in software engineering within agile, service-oriented environments.</li> <li>Ability to design, build, and maintain scalable back-end architectures and robust database solutions.</li> <li>Proven track record of producing high-quality technical documentation in English throughout the software lifecycle.</li> <li>Background or experience in Real-Time Software, Radio Protocols, or wireless communication is a strong plus.</li> </ul> <p><strong>Technical Skills</strong></p><br> <ul> <li>Strong expertise in Java development and Spring Boot frameworks, with mandatory experience in Linux environments.</li> <li>Mandatory proficiency in database technologies and SQL (with exposure to NoSQL systems).</li> <li>Mandatory hands-on experience with Jira, as well as Agile, CI/CD, and DevOps tooling (Git, Jenkins, Artifactory, and Sonar).</li> <li>Practical experience with modern front-end frameworks (Angular, React, or Vue.js) and eagerness to contribute across the full stack.</li> <li>Knowledge of additional programming languages such as Python, C, or C++ is highly desirable.</li> </ul> <p><strong>Soft Skills</strong></p><br> <ul> <li>Full fluency in English with strong written and verbal technical communication skills.</li> <li>Proactive mindset with a strong sense of code ownership and a commitment to continuous learning.</li> <li>Adaptability, openness to change, and strong collaborative spirit in cross-functional agile teams.</li> <li>Ability to analyze complex technical challenges and act as a force of proposal.</li> </ul> <p><strong>Qualification</strong></p><br> <ul> <li>Degree in Computer Science, Software Engineering, or an equivalent technical field.</li> <li>High fluency in spoken and written English; additional fluency in French and/or Arabic is preferred.</li> <li>Professional certifications in Java, Linux, DevOps tools, or Agile methodologies are a plus.</li> <li>Familiarity with AI developer tools (e.g., Code Companion) is a strong asset</li> </ul> <p><strong>Location: Abu Dhabi, UAE (onsite) | Duration: 3 months | Start: immediate | UAE-based candidates only | Language: English; French and/or Arabic preferred</strong></p><br><p>Vertical:</p><br> <p>Technology</p><br> <br> <br> </div>

<strong>Job Description<br><br></strong>About Wynn Al Marjan Island:<br><br>Wynn Al Marjan Island will be the first integrated resort in the UAE. Set to open in 2027, the resort will be located 50 miles from Dubai International Airport in the emirate of Ras Al Khaimah. The resort will offer 1,530 rooms and suites, 22 restaurants, lounges, and bars, a theater, and a beach club. It will feature multiple swimming and wading pools, a five-star spa, a salon, a shopping promenade, and a celebrations and events center.<br><br><strong>About The Position<br><br></strong>Wynn Al Marjan Island is currently seeking a <strong>Systems Engineer</strong> to join our <strong>IT Operations Engineering &amp; Support Team.<br><br></strong><strong>Responsibilities<br><br></strong>The primary duties and responsibilities of this role are:<br><br><ul><li> Design and implement scalable infrastructure solutions across hybrid environments </li><li> Maintain and upgrade systems including servers, storage, virtualization platforms, and cloud services </li><li> Develop automation tools for deployment, monitoring, and incident response </li><li> Monitor system health using dashboards, alerts, and telemetry tools (e.g., DataDog, Kibana) </li><li> Conduct root cause analysis and postmortems for major incidents </li><li> Collaborate with software engineering, cybersecurity, and product teams to ensure operational excellence </li><li> Establish and refine service-level agreements (SLAs), service-level objectives (SLOs), and error budgets to guide reliability efforts </li><li> Ensure compliance with IT policies, data protection standards, and audit requirements </li><li> Document system configurations and procedures, and create troubleshooting guides <br><br></li></ul><strong>About You<br><br></strong>The ideal candidate for this position will have the following experience and qualifications:<br><br><ul><li> Bachelor’s degree in computer science, information technology, or a related field </li><li> 3–5 years of experience in systems engineering, DevOps, or IT infrastructure roles </li><li> Senior-level experience supporting enterprise server infrastructure, including experience supporting a highly available, 24-hour operational environment. Knowledge of hybrid infrastructure, infrastructure automation, and enterprise security practices, as well as Active Directory, DNS, DHCP, TCP/IP, storage, backup, monitoring, and certificate services. </li><li> Strong knowledge of installing, configuring, monitoring, hardening, and troubleshooting Windows and/or Linux systems. </li><li> Strong scripting and programming skills (Python, Bash, PowerShell) </li><li> Experience with cloud platforms (Azure, AWS) and virtualization (VMware, Hyper-V) </li><li> Familiarity with containerization (Docker, Kubernetes) </li><li> Deep understanding of distributed systems and microservices architecture </li><li> Certifications such as Azure/AWS, ITIL, or SRE-focused credentials </li><li> Experience with CI/CD pipelines and DevOps practices </li><li> Strong analytical and communication skills </li><li> Ability to work independently and in cross-functional teams <br><br></li></ul><strong>About Wynn Al Marjan Island’s Benefits<br><br></strong>We offer an attractive salary, paid in Dirhams (AED), the local currency of the UAE. In addition, we offer an excellent leave policy, a healthcare package and as well as incentive programs, and other employee benefits . The result is a package that makes this role highly attractive to outstanding applicant s seeking a career with Wynn Resorts, among the most renowned and celebrated brands in the global hospitality industry.

<p><strong>The Landmark Group</strong> began its journey in <strong>1973</strong> with one store in Bahrain and has grown into one of the largest retail and hospitality conglomerates in the <strong>Middle East, Africa, and India. </strong>Currently, the Group operates over<strong> 2,200 outlets, encompassing over 30 million square feet across 21 countries.</strong></p><p>Job Purpose</p><p>The Technical Architect is responsible for defining and guiding the technical and application architecture for enterprise solutions. The role translates business requirements into scalable, secure, and practical solution designs across applications, integrations, cloud platforms, data flows, and enterprise systems.</p><p><strong>Key Focus Areas:</strong></p><ul><li><strong>eCommerce Application Architecture</strong></li><li><strong>Solution Design</strong></li><li><strong>AI-Enabled Architecture Design</strong></li><li><strong>Cloud Platform and Security Enablement</strong></li><li><strong>Cross Domain Application Alignment</strong></li><li><strong>Infrastructure and Security Driven Application Design</strong></li><li><strong>Drive Innovation</strong></li></ul><p><br></p><p><strong>Job Description</strong></p><p><strong>eCommerce Application Architecture</strong></p><ul><li>Design end-to-end eCommerce application architectures across enterprise platforms, custom applications, SaaS solutions, cloud services, and digital systems.</li><li>Define application architecture standards, patterns, and best practices for modular design, service design, maintainability, scalability, performance, reliability, and supportability.</li><li>Guide teams on application structure, component design, technology selection, and alignment with enterprise architecture principles.</li><li>Ensure application designs support business capabilities, operational needs, security expectations, and long-term technology direction.</li></ul><p><strong>Application Solution Design</strong></p><ul><li>Translate business requirements into practical end-to-end technical designs and solution options.</li><li>Evaluate solution alternatives, identify technical risks, assess cost versus benefit, and recommend fit-for-purpose architecture decisions.</li><li>Create solution designs that consider applications, data flows, integrations, infrastructure, security, operations, and delivery constraints.</li><li>Provide technical guidance during delivery to ensure the implemented solution remains aligned with the approved design.</li></ul><p><strong>AI-Enabled Application Architecture</strong></p><ul><li>Identify practical opportunities to embed AI, automation, machine learning, and generative AI capabilities into enterprise applications and business processes.</li><li>Guide application teams on AI-enabled solution patterns, including intelligent search, document processing, recommendation engines, conversational interfaces, workflow automation, and decision support.</li><li>Ensure AI-enabled application designs consider data quality, privacy, security, access control, auditability, explainability, operational support, and responsible AI principles.</li><li>Work with data, integration, security, infrastructure, and platform teams to ensure AI solutions are properly connected to enterprise data, APIs, cloud services, and application platforms.</li><li>Support evaluation of AI tools, platforms, APIs, and vendor capabilities to determine fit-for-purpose use cases and enterprise adoption.</li><li>Ensure AI capabilities are designed as part of the application architecture, not as disconnected experiments or standalone proof of concepts.</li></ul><p><strong>Application Modernization</strong></p><ul><li>Support legacy application assessment, rationalization, modernization, and simplification initiatives.</li><li>Identify opportunities to reduce technical debt, remove duplication, consolidate platforms, and improve application maintainability.</li><li>Guide modernization approaches, including re-platforming, refactoring, replacement, cloud adoption, containerization, and service enablement.</li><li>Partner with business and technology teams to define practical transition states from the current architecture to the target architecture.</li></ul><p><strong>Infrastructure and Security Aware Application Design</strong></p><ul><li>Ensure application designs properly consider hosting, compute, storage, network, identity, access, security controls, performance, resilience, monitoring, backup, disaster recovery, and operational support requirements.</li><li>Work closely with infrastructure and security architects to align application designs with enterprise infrastructure, cloud, network, and security standards.</li><li>Incorporate security by design principles including identity and access management, role based access, encryption, secure APIs, data protection, vulnerability management, and compliance needs.</li><li>Validate that applications are designed for availability, scalability, observability, supportability, and production readiness.</li></ul><p><br></p><p><strong>Cloud and Platform Enablement</strong></p><ul><li>Guide the use of cloud services, enterprise platforms, DevOps practices, CI/CD, automation, environment strategy, and deployment patterns.</li><li>Support application teams in adopting cloud native and platform capabilities where they provide business and technical value.</li><li>Ensure cloud and platform choices are secure, scalable, cost effective, supportable, and aligned with enterprise standards.</li><li>Collaborate with platform, DevOps, infrastructure, and engineering teams to improve delivery speed, reliability, and operational maturity.</li></ul><p><strong>Cross Domain Application Alignment</strong></p><ul><li>Work closely with enterprise, integration, data, infrastructure, security, and platform architects to ensure application solutions are aligned across the broader technology landscape.</li><li>Ensure application designs properly address integration points, data movement, master data needs, reporting dependencies, security controls, infrastructure impact, and operational dependencies.</li><li>Maintain clear ownership boundaries with specialized architecture domains while ensuring end-to-end solution integrity.</li><li>Identify reuse opportunities across applications, platforms, services, APIs, and shared technical capabilities.</li></ul><p><strong>Architecture Governance &amp; Compliance Alignment</strong></p><ul><li>Work with the Architecture Review Board, enterprise architecture team, and domain architects to ensure application and technical solution designs follow approved architecture standards, principles, and governance processes.</li><li>Support architecture review submissions by preparing solution architecture documents, design diagrams, technical decision records, risk assessments, and required review materials.</li><li>Review application and technical designs for alignment with enterprise standards across application architecture, integration, data, infrastructure, security, cloud, and operational readiness.</li><li>Identify architecture risks, design gaps, technical debt, compliance concerns, and operational impacts early in the solution lifecycle.</li><li>Ensure application solutions consider security, privacy, data protection, resilience, disaster recovery, audit, and regulatory requirements in partnership with the relevant domain owners.</li><li>Track architecture decisions, exceptions, risks, and follow-up actions through the appropriate governance forums and delivery checkpoints.</li></ul><p><strong>Leadership &amp; Collaboration</strong></p><ul><li>Serve as subject matter expert and technical advisor for infrastructure and security initiatives</li><li>Mentor engineering teams on architecture principles, security best practices, and technology adoption</li><li>Collaborate with enterprise architects, application teams, and business stakeholders to align technical solutions with business needs</li><li>Lead architectural reviews, provide technical guidance, and resolve design conflicts</li><li>Stay current with industry trends, emerging threats, and innovative technologies</li></ul><p><strong>Documentation &amp; Knowledge Management</strong></p><ul><li>Create and maintain solution architecture documents, application architecture diagrams, system context diagrams, data flow diagrams, deployment views, technical design documents, and architecture decision records.</li><li>Document key design decisions, architecture assumptions, technical risks, dependencies, exceptions, standards, reusable patterns, and open issues.</li><li>Maintain architecture artifacts required for Architecture Review Board reviews, delivery governance, production readiness, operational handover, and future system changes.</li><li>Document application design standards, technical patterns, operational guidelines, and support considerations in collaboration with architecture and engineering teams.</li><li>Conduct knowledge transfer sessions and capability building programs for engineering, product, delivery, and technical teams.</li></ul><p><br></p><p><strong>Knowledge, Skills &amp; Experience</strong></p><p><strong>Relevant Job Experience</strong></p><p><strong>Professional Experience</strong></p><ul><li>10 plus years of experience in application development, technical architecture, solution architecture, enterprise systems, or technology delivery roles.</li><li>5 plus years of experience in application architecture, technical solution design, or enterprise wide solution architecture.</li><li>Proven experience designing and delivering large scale enterprise applications in ecommerce.</li><li>Proven experience designing and delivering large scale enterprise application solutions across custom applications, SaaS platforms, cloud services, and packaged business systems.</li><li>Strong experience translating business requirements into end-to-end technical designs covering applications, data flows, integrations, infrastructure, security, cloud, and operations.</li><li>Experience working with Architecture Review Boards, enterprise architecture teams, and domain architects to review, govern, and align solution designs.</li><li>Strong background in application modernization, platform consolidation, cloud adoption, technical debt reduction, and legacy system rationalization.</li><li>Practical experience with cloud platforms such as Azure, AWS, or Google Cloud, including application hosting, deployment patterns, scalability, security, monitoring, and cost awareness.</li><li>Experience working with integration teams on APIs, middleware, event based flows, data exchange, and system interaction patterns.</li><li>Experience guiding engineering teams on application design, technical patterns, DevOps practices, CI/CD, automation, testing, deployment, and production readiness.</li><li>Retail, ecommerce, hospitality, supply chain, or enterprise business systems experience strongly preferred.</li></ul><p><strong>Technical Skills</strong></p><ul><li><strong>Application Architecture:</strong> Enterprise applications, custom platforms, SaaS solutions, packaged systems, modular design, service design, API first architecture, scalability, maintainability, and supportability.</li><li><strong>Solution Design:</strong> End to end technical design, solution options, architecture tradeoffs, risk assessment, cost versus benefit analysis, transition architecture, and implementation guidance.</li><li><strong>Hands on experience: </strong>real hands-on experience with one or more programing language like Java – Python – etc.</li><li><strong>Good to have:</strong> real working experience with any ecommerce platform like Broadleaf commerce – SAP commerce etc. <strong> </strong></li><li><strong>AI Enabled Architecture:</strong> Practical understanding of generative AI, machine learning enabled applications, AI APIs, intelligent search, automation, prompt enabled workflows, responsible AI, data privacy, model integration, and AI solution governance.</li><li><strong>Cloud Platforms:</strong> Azure, AWS, Google Cloud Platform, hybrid cloud, application hosting, cloud services, deployment patterns, cloud security, scalability, resilience, and cost optimization.</li><li><strong>Integration Design:</strong> REST APIs, event driven architecture, middleware, messaging, file based integrations, data exchange patterns, and system interaction models in partnership with the integration architect.</li><li><strong>Infrastructure Design</strong>: Hosting, compute, storage, networking, load balancing, application gateways, backup, disaster recovery, high availability, and operational support considerations.</li><li><strong>Security by Design:</strong> IAM, SSO, MFA, role based access, encryption, secure APIs, data protection, vulnerability management, application security, privacy, and compliance alignment.</li><li><strong>DevOps and Automation:</strong> CI/CD, release management, environment strategy, Azure DevOps, GitHub Actions, automated testing, deployment automation, and infrastructure as code awareness.</li><li><strong>Observability and Operations:</strong> Monitoring, logging, alerting, performance management, incident readiness, production support, operational handover, and service reliability.</li><li><strong>Architecture Documentation:</strong> Solution architecture documents, application diagrams, system context diagrams, data flow diagrams, deployment views, technical design documents, and architecture decision records.</li></ul><p><strong>Required Leadership Skills</strong></p><ul><li><strong>Strategic Thinking:</strong> Ability to translate business requirements into technical architecture and long-term infrastructure strategy</li><li><strong>Communication:</strong> Excellent verbal and written communication skills to articulate complex technical concepts to diverse audiences</li><li><strong>Problem Solving:</strong> Analytical mindset with the ability to troubleshoot complex infrastructure and security challenges</li><li><strong>Collaboration:</strong> Strong team player with experience working across organizational boundaries and with external partners</li><li><strong>Innovation:</strong> Forward-thinking approach to evaluating and adopting emerging technologies and methodologies</li></ul><p><br></p>

<strong>The Landmark Group</strong> began its journey in <strong>1973</strong> with one store in Bahrain and has grown into one of the largest retail and hospitality conglomerates in the <strong>Middle East, Africa, and India. </strong>Currently, the Group operates over<strong> 2,200 outlets, encompassing over 30 million square feet across 21 countries.</strong>Job PurposeThe Technical Architect is responsible for defining and guiding the technical and application architecture for enterprise solutions. The role translates business requirements into scalable, secure, and practical solution designs across applications, integrations, cloud platforms, data flows, and enterprise systems.<br><br><strong>Key Focus Areas:<br><br></strong><ul><li>eCommerce Application Architecture</li><li>Solution Design</li><li>AI-Enabled Architecture Design</li><li>Cloud Platform and Security Enablement</li><li>Cross Domain Application Alignment</li><li>Infrastructure and Security Driven Application Design</li><li>Drive Innovation<br><br></li></ul><strong>Job Description</strong><strong>eCommerce Application Architecture<br><br></strong><ul><li>Design end-to-end eCommerce application architectures across enterprise platforms, custom applications, SaaS solutions, cloud services, and digital systems</li><li>Define application architecture standards, patterns, and best practices for modular design, service design, maintainability, scalability, performance, reliability, and supportability</li><li>Guide teams on application structure, component design, technology selection, and alignment with enterprise architecture principles</li><li>Ensure application designs support business capabilities, operational needs, security expectations, and long-term technology direction<br><br></li></ul><strong>Application Solution Design<br><br></strong><ul><li>Translate business requirements into practical end-to-end technical designs and solution options</li><li>Evaluate solution alternatives, identify technical risks, assess cost versus benefit, and recommend fit-for-purpose architecture decisions</li><li>Create solution designs that consider applications, data flows, integrations, infrastructure, security, operations, and delivery constraints</li><li>Provide technical guidance during delivery to ensure the implemented solution remains aligned with the approved design<br><br></li></ul><strong>AI-Enabled Application Architecture<br><br></strong><ul><li>Identify practical opportunities to embed AI, automation, machine learning, and generative AI capabilities into enterprise applications and business processes</li><li>Guide application teams on AI-enabled solution patterns, including intelligent search, document processing, recommendation engines, conversational interfaces, workflow automation, and decision support</li><li>Ensure AI-enabled application designs consider data quality, privacy, security, access control, auditability, explainability, operational support, and responsible AI principles</li><li>Work with data, integration, security, infrastructure, and platform teams to ensure AI solutions are properly connected to enterprise data, APIs, cloud services, and application platforms</li><li>Support evaluation of AI tools, platforms, APIs, and vendor capabilities to determine fit-for-purpose use cases and enterprise adoption</li><li>Ensure AI capabilities are designed as part of the application architecture, not as disconnected experiments or standalone proof of concepts<br><br></li></ul><strong>Application Modernization<br><br></strong><ul><li>Support legacy application assessment, rationalization, modernization, and simplification initiatives</li><li>Identify opportunities to reduce technical debt, remove duplication, consolidate platforms, and improve application maintainability</li><li>Guide modernization approaches, including re-platforming, refactoring, replacement, cloud adoption, containerization, and service enablement</li><li>Partner with business and technology teams to define practical transition states from the current architecture to the target architecture<br><br></li></ul><strong>Infrastructure and Security Aware Application Design<br><br></strong><ul><li>Ensure application designs properly consider hosting, compute, storage, network, identity, access, security controls, performance, resilience, monitoring, backup, disaster recovery, and operational support requirements</li><li>Work closely with infrastructure and security architects to align application designs with enterprise infrastructure, cloud, network, and security standards</li><li>Incorporate security by design principles including identity and access management, role based access, encryption, secure APIs, data protection, vulnerability management, and compliance needs</li><li>Validate that applications are designed for availability, scalability, observability, supportability, and production readiness<br><br></li></ul><strong>Cloud and Platform Enablement<br><br></strong><ul><li>Guide the use of cloud services, enterprise platforms, DevOps practices, CI/CD, automation, environment strategy, and deployment patterns</li><li>Support application teams in adopting cloud native and platform capabilities where they provide business and technical value</li><li>Ensure cloud and platform choices are secure, scalable, cost effective, supportable, and aligned with enterprise standards</li><li>Collaborate with platform, DevOps, infrastructure, and engineering teams to improve delivery speed, reliability, and operational maturity<br><br></li></ul><strong>Cross Domain Application Alignment<br><br></strong><ul><li>Work closely with enterprise, integration, data, infrastructure, security, and platform architects to ensure application solutions are aligned across the broader technology landscape</li><li>Ensure application designs properly address integration points, data movement, master data needs, reporting dependencies, security controls, infrastructure impact, and operational dependencies</li><li>Maintain clear ownership boundaries with specialized architecture domains while ensuring end-to-end solution integrity</li><li>Identify reuse opportunities across applications, platforms, services, APIs, and shared technical capabilities<br><br></li></ul><strong>Architecture Governance &amp; Compliance Alignment<br><br></strong><ul><li>Work with the Architecture Review Board, enterprise architecture team, and domain architects to ensure application and technical solution designs follow approved architecture standards, principles, and governance processes</li><li>Support architecture review submissions by preparing solution architecture documents, design diagrams, technical decision records, risk assessments, and required review materials</li><li>Review application and technical designs for alignment with enterprise standards across application architecture, integration, data, infrastructure, security, cloud, and operational readiness</li><li>Identify architecture risks, design gaps, technical debt, compliance concerns, and operational impacts early in the solution lifecycle</li><li>Ensure application solutions consider security, privacy, data protection, resilience, disaster recovery, audit, and regulatory requirements in partnership with the relevant domain owners</li><li>Track architecture decisions, exceptions, risks, and follow-up actions through the appropriate governance forums and delivery checkpoints<br><br></li></ul><strong>Leadership &amp; Collaboration<br><br></strong><ul><li>Serve as subject matter expert and technical advisor for infrastructure and security initiatives</li><li>Mentor engineering teams on architecture principles, security best practices, and technology adoption</li><li>Collaborate with enterprise architects, application teams, and business stakeholders to align technical solutions with business needs</li><li>Lead architectural reviews, provide technical guidance, and resolve design conflicts</li><li>Stay current with industry trends, emerging threats, and innovative technologies<br><br></li></ul><strong>Documentation &amp; Knowledge Management<br><br></strong><ul><li>Create and maintain solution architecture documents, application architecture diagrams, system context diagrams, data flow diagrams, deployment views, technical design documents, and architecture decision records</li><li>Document key design decisions, architecture assumptions, technical risks, dependencies, exceptions, standards, reusable patterns, and open issues</li><li>Maintain architecture artifacts required for Architecture Review Board reviews, delivery governance, production readiness, operational handover, and future system changes</li><li>Document application design standards, technical patterns, operational guidelines, and support considerations in collaboration with architecture and engineering teams</li><li>Conduct knowledge transfer sessions and capability building programs for engineering, product, delivery, and technical teams<br><br></li></ul><strong>Knowledge, Skills &amp; Experience</strong><strong>Relevant Job Experience</strong><strong>Professional Experience<br><br></strong><ul><li>10 plus years of experience in application development, technical architecture, solution architecture, enterprise systems, or technology delivery roles</li><li>5 plus years of experience in application architecture, technical solution design, or enterprise wide solution architecture</li><li>Proven experience designing and delivering large scale enterprise applications in ecommerce</li><li>Proven experience designing and delivering large scale enterprise application solutions across custom applications, SaaS platforms, cloud services, and packaged business systems</li><li>Strong experience translating business requirements into end-to-end technical designs covering applications, data flows, integrations, infrastructure, security, cloud, and operations</li><li>Experience working with Architecture Review Boards, enterprise architecture teams, and domain architects to review, govern, and align solution designs</li><li>Strong background in application modernization, platform consolidation, cloud adoption, technical debt reduction, and legacy system rationalization</li><li>Practical experience with cloud platforms such as Azure, AWS, or Google Cloud, including application hosting, deployment patterns, scalability, security, monitoring, and cost awareness</li><li>Experience working with integration teams on APIs, middleware, event based flows, data exchange, and system interaction patterns</li><li>Experience guiding engineering teams on application design, technical patterns, DevOps practices, CI/CD, automation, testing, deployment, and production readiness</li><li>Retail, ecommerce, hospitality, supply chain, or enterprise business systems experience strongly preferred<br><br></li></ul><strong>Technical Skills<br><br></strong><ul><li>Application Architecture: Enterprise applications, custom platforms, SaaS solutions, packaged systems, modular design, service design, API first architecture, scalability, maintainability, and supportability</li><li>Solution Design: End to end technical design, solution options, architecture tradeoffs, risk assessment, cost versus benefit analysis, transition architecture, and implementation guidance</li><li>Hands on experience: real hands-on experience with one or more programing language like Java – Python – etc</li><li>Good to have: real working experience with any ecommerce platform like Broadleaf commerce – SAP commerce etc. </li><li>AI Enabled Architecture: Practical understanding of generative AI, machine learning enabled applications, AI APIs, intelligent search, automation, prompt enabled workflows, responsible AI, data privacy, model integration, and AI solution governance</li><li>Cloud Platforms: Azure, AWS, Google Cloud Platform, hybrid cloud, application hosting, cloud services, deployment patterns, cloud security, scalability, resilience, and cost optimization</li><li>Integration Design: REST APIs, event driven architecture, middleware, messaging, file based integrations, data exchange patterns, and system interaction models in partnership with the integration architect</li><li>Infrastructure Design: Hosting, compute, storage, networking, load balancing, application gateways, backup, disaster recovery, high availability, and operational support considerations</li><li>Security by Design: IAM, SSO, MFA, role based access, encryption, secure APIs, data protection, vulnerability management, application security, privacy, and compliance alignment</li><li>DevOps and Automation: CI/CD, release management, environment strategy, Azure DevOps, GitHub Actions, automated testing, deployment automation, and infrastructure as code awareness</li><li>Observability and Operations: Monitoring, logging, alerting, performance management, incident readiness, production support, operational handover, and service reliability</li><li>Architecture Documentation: Solution architecture documents, application diagrams, system context diagrams, data flow diagrams, deployment views, technical design documents, and architecture decision records<br><br></li></ul><strong>Required Leadership Skills<br><br></strong><ul><li>Strategic Thinking: Ability to translate business requirements into technical architecture and long-term infrastructure strategy</li><li>Communication: Excellent verbal and written communication skills to articulate complex technical concepts to diverse audiences</li><li>Problem Solving: Analytical mindset with the ability to troubleshoot complex infrastructure and security challenges</li><li>Collaboration: Strong team player with experience working across organizational boundaries and with external partners</li><li>Innovation: Forward-thinking approach to evaluating and adopting emerging technologies and methodologies<br><br></li></ul>Powered by JazzHR<br><br>TrO0T3tIPJ

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Salesforce Developer to provide L2/L3 support and enhancement services under the AMS model.&nbsp;</p><p>Candidate should have strong Salesforce technical expertise <b>along with functional understanding of the Property/Real Estate business processes including sales, CRM, and customer lifecycle management</b>.</p><p>&nbsp;</p><p><b><u>Technical Skills</u></b></p><p>Develop and customize solutions using:</p><p>Apex Classes &amp; Triggers</p><p><b>Lightning Web Components (LWC)</b></p><p>Aura Components</p><p>Visualforce Pages</p><p>Configure workflows, Process Builder,Flows, validation rules, and approval processes.</p><p>Implement custom objects, fields, page layouts, and record types.</p><p>Develop and maintain integrations (REST/SOAP APIs).</p><p>Work on data migration and deployment using change sets, DevOps tools, or CI/CDpipelines</p><p>&nbsp;</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Soft Skills</b></p><p>Strong stakeholder communication skills.</p><p>Ability to handle production issues under</p><p>pressure.</p><p>Good documentation skills.</p><p>Proactive and solution-oriented mindset.</p></div>

<p><strong>Hiring: SAS Decisioning / SAS Viya Professional</strong></p><p><br></p><p>We are looking for an experienced SAS Decisioning / SAS Viya professional with strong exposure to Credit Risk, Decision Management and MLOps.</p><p><br></p><p><strong>Experience:</strong> 3-5+ Years</p><p><strong>Role: </strong>SAS Decisioning / SAS Viya</p><p><strong>Domain: </strong>Banking / Financial Services</p><p><br></p><p>Key Requirements:</p><p>• 3+ years of hands-on experience with SAS platforms, preferably SAS Viya</p><p>• 3+ years of experience in Decision Engine configuration &amp; Decision Strategy implementation</p><p>• Experience in MLOps, Model Deployment, CI/CD, Model Monitoring or Production Scoring</p><p>• Strong experience in Credit Risk, Credit Origination, Lending or Risk Decisioning</p><p>• Experience supporting business-critical production systems</p><p>• Experience working in Agile environments</p><p>• Bachelors degree in Computer Science, Engineering, Statistics, Mathematics, Data Science or related field</p><p>• SAS, DevOps, Data Engineering or MLOps certifications are an added advantage</p>

<p>� Hands-on experience testing Genesys Cloud CX or equivalent Genesys platforms � End-to-end inbound and outbound call-flow testing � IVR, DTMF, skills-based ACD routing and queue validation � Callback and outbound campaign testing � Voice and screen-recording validation � CDR, billing and call-cost reconciliation � Historical and real-time reports and dashboard validation � Strong telephony knowledge: PRI, ISDN, SIP, SBC, BYOC and WebRTC � SIT, UAT, cutover and failover testing � Defect management and requirement traceability using JIRA or Azure DevOps</p><p><strong>Desired Candidate Profile</strong></p><p>� Bachelor’s degree in Computer Science, IT, Telecommunications or a related field � ISTQB Foundation Level certification is mandatory � Experience testing SSO, RBAC and Entra ID integration � Multilingual Arabic/English IVR testing experience is an advantage � Strong test documentation, defect reporting and analytical skills</p>

<p><strong>Senior Software Engineer (Backend), Core42, Abu Dhabi - UAE </strong></p><p><br></p><p><strong>About Us</strong></p><p><strong> </strong></p><p><strong> </strong></p><p>Core42, a leader in AI-powered cloud and digital infrastructure, is driving transformative technology solutions globally. Leveraging advanced resources and partnerships, Core42 empowers clients to harness sovereign AI infrastructure, especially in sectors with stringent regulatory needs. With a mission to redefine digital transformation, we combine sovereign capabilities with scalable, high-performance compute infrastructure, positioning itself at the forefront of AI innovation in the Middle East and beyond.</p><p><br></p><p><strong>The opportunity</strong></p><p><strong> </strong></p><p>The Senior Software Engineer (Backend),<strong> </strong>will play a critical role in architecting, scaling, and maintaining backend services that power Core42’s platform. This role requires deep technical expertise, ownership mindset, and the ability to lead complex backend initiatives while mentoring other engineers. You will design high-performance, secure, and reliable systems that support mission-critical business operations.</p><p><br></p><p><strong>Your key responsibilities </strong></p><p><br></p><ul><li><strong>Cloud-Native Architecture &amp; API Design:</strong> Architect and develop high-performance, scalable microservices and RESTful/gRPC APIs using Python (FastAPI/Flask). Design services specifically for cloud-native deployment on Azure.</li><li><strong>System Scalability &amp; Performance:</strong> Optimize backend performance through effective concurrency management (AsyncIO), caching strategies, and efficient resource utilization. Identify and resolve bottlenecks in distributed systems.</li><li><strong>Advanced Data Modeling:</strong> Design and maintain optimized schemas for SQL (PostgreSQL) and NoSQL (MongoDB/Redis) databases. Implement robust data consistency and migration patterns across distributed environments.</li><li><strong>GenAI &amp; LLM Integration:</strong> Lead the backend implementation of Generative AI capabilities, including RAG (Retrieval-Augmented Generation) workflows, vector database integration, and managing LLM orchestration layers.</li><li><strong>Reliability &amp; Resilience Engineering:</strong> Own the "Day 2" operations of services by implementing circuit breakers, rate limiting, and graceful degradation to ensure mission-critical uptime.</li><li><strong>Observability &amp; Proactive Monitoring:</strong> Implement comprehensive logging, distributed tracing, and real-time metrics (Prometheus/Grafana/Azure Monitor) to maintain deep visibility into service health and AI model performance.</li><li><strong>Cloud Infrastructure &amp; IaC Collaboration:</strong> Partner with DevOps to define Infrastructure as Code (Terraform/Bicep) and ensure backend services are seamlessly integrated into automated CI/CD pipelines for zero-downtime deployments.</li><li><strong>Security-First Development:</strong> Enforce backend security best practices, including OAuth2/OIDC implementation, encryption of data at rest and in transit, and secure API gateway management.</li><li><strong>Technical Leadership &amp; Mentorship:</strong> Drive engineering excellence by leading design reviews, defining coding standards, and mentoring mid-level engineers to foster a culture of technical growth.</li><li><strong>Cross-Functional Strategy:</strong> Collaborate with Product, and DevOps teams to translate complex business requirements into scalable, production-ready backend architectures.</li></ul><p><br></p><p><strong>What we’re looking for</strong></p><p><strong> </strong></p><p><strong> (a) Required skills / qualifications</strong></p><ul><li>Masters’s or bachelor’s degree in computer science, Information Technology, or a related field.</li><li>Excellent collaboration and communication skills with the ability to work effectively in cross-functional teams.</li><li>7+ years of hands-on backend development experience.</li><li>Strong proficiency in Python with experience using FastAPI, Flask, and other backend frameworks.</li><li>Expertise in designing RESTful APIs, microservices, and distributed backend architectures.</li><li>Strong knowledge of SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis).</li><li>Hands-on experience with Azure cloud services and cloud-native application development.</li><li>Deep understanding of scalability, caching, concurrency, and backend performance optimization.</li><li>Experience with Docker, CI/CD pipelines, and containerized deployments.</li><li>Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems</li><li>Strong ability to influence engineering direction and drive best practices.</li><li>Experience with message queues and event-driven architecture (Event Hub, Kafka, RabbitMQ).</li><li>Knowledge of containerization, orchestration (Kubernetes), and Infrastructure as Code (IaC) tools used in modern DevOps.</li></ul><p><br></p><p><strong>(b) Preferred skills / qualifications</strong></p><ul><li>Strong problem-solving skills and attention to detail.</li><li>Proven experience in providing technical leadership and mentoring junior developers.</li><li>Certification in Azure cloud services, AI application development</li><li>Familiarity with hybrid cloud environments and multi-cloud strategies (Azure + AWS/GCP)</li><li>Good to have: Frontend development experience using React, React Native, TypeScript, JavaScript (ES6+), HTML5, and CSS3.</li></ul><p><br></p><p><strong>What working at Core42 offers </strong></p><p><br></p><p>With a diverse team of 1,100+ employees from 68 nationalities, we foster an inclusive, innovative and collaborative environment. At Core42, we foster a culture grounded in trust, accountability and high performance. We are united by our values: <strong>Grit</strong>, where we overcome challenges with resilience and determination, <strong>Passion</strong>, which drives us to pursue excellence in everything we do, and <strong>Impact</strong>, as we aim to inspire progress and create meaningful change. Our team members thrive in an environment where each person’s contributions propel us forward, and together, we commit to achieving extraordinary results.</p><p><br></p><ul><li>Competitive Salary: We offer an attractive salary package based on your skills and experience</li><li>Yearly Bonus: In recognition of your contributions, you will receive a performance-based annual bonus</li><li>Exclusive Discount Cards: Access special benefits with Esaad and Fazaa cards, offering discounts across a wide range of services</li><li>Premium Family Insurance: We provide comprehensive health coverage, including dental, vision and life insurance, ensuring the well-being of you and your family</li><li>Learning &amp; Development: We offer access to top-tier learning platforms to help you grow in your career. Learn at your own pace with unlimited access to premium courses.</li></ul><p><br></p>

<p><strong>Role: Business Analyst</strong></p><p><strong>Location: Dubai</strong></p><p><strong>Exp: 5+year</strong></p><p><strong>Notice Period: Immediate</strong></p><p><br></p><p><strong>Primary Skills:</strong></p><p>Business analyst, Requirement gathering, Analysis, Basic SQL query building and execution, API execution via postman / SoapUI</p><p><br></p><p><strong>Job Description:</strong></p><p>• Experience in iLoyal (Loyalty management platform) is a must</p><p>• Experience in Requirements gathering and analysis and creation of associated deliverables</p><p>• Familiar with Business Analysis Methodologies - Eg: Agile Methodologies like Scrum/Kanban and tools such as JIRA, Confluence, Miro, Visio, or Azure DevOps</p><p>• Experience in User Acceptance Testing and end-to-end testing cycles</p><p>• Experience in interacting with Vendors</p><p>• Experience in defining the Business Scope for RFI/RFP process</p><p>• Experience in handling IT Support issues raised by Business &amp; follow up of issues raised with internal IT &amp; Vendor</p><p>• Experience in process mapping (e.g., use case diagrams, data flow diagrams, swimlanes).</p>

<p><strong><u>Job Responsibilities:</u></strong></p><p><br></p><p><strong>Cloud infrastructure</strong></p><ul><li>Design, provision and manage cloud environments on AWS/Azure (compute, networking, storage, IAM, databases).</li><li>Build and maintain infrastructure as code using Terraform, CloudFormation or similar.</li><li>Manage VPCs, subnets, load balancers, DNS, VPNs and firewall rules.</li><li>Set up, manage, back up and restore PostgreSQL and MySQL databases.</li><li>Work with co-located and hosted infrastructure in financial data centres to keep latency low.</li><li>Handle day-to-day operations of the production infrastructure.</li><li>Manage DNS for all group brands and domains using Cloudflare, including DNS records, SSL/TLS certificates, WAF rules, DDoS protection, rate limiting, page rules and caching for client portals and websites.</li><li>Optimise cloud costs through right-sizing, reserved capacity and tagging policies.</li><li>Lead incident response for production operations.</li><li>Maintain clear runbooks, architecture diagrams and documentation.</li></ul><p><strong>Automation</strong></p><ul><li>Build and maintain CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions or Azure DevOps).</li><li>Containerise applications with Docker and run them on Kubernetes (EKS).</li><li>Automate repetitive operational tasks with Bash, Python or PowerShell.</li></ul><p><strong>Monitoring and reliability</strong></p><ul><li>Set up monitoring, logging and alerting (CloudWatch, Datadog).</li><li>Take part in an on-call rotation; troubleshoot and resolve production incidents.</li><li>Write post-incident reviews and drive fixes to prevent recurrence.</li><li>Implement backup, disaster recovery and high-availability strategies.</li></ul><p><strong>Security and compliance</strong></p><ul><li>Apply security best practices: least-privilege IAM, secrets management, patching and hardening.</li><li>Support vulnerability scanning and audit or compliance requirements (e.g. ISO 27001, SOC 2).</li></ul><p><strong>Collaboration</strong></p><ul><li>Work closely with developers, QA and security teams to improve delivery and stability.</li></ul><p><br></p><p><strong><u>Required skills:</u></strong></p><ul><li>3-4 years of hands-on experience in CloudOps, DevOps or infrastructure roles.</li><li>Strong working knowledge of at least one major cloud platform (AWS, Azure or GCP).</li><li>Practical experience with Terraform or another infrastructure-as-code tool.</li><li>Hands-on experience with Docker and Kubernetes in production.</li><li>Hands-on experience with MySQL/PostgreSQL database setup, access management, backup and restore, and data engineering.</li><li>Experience building CI/CD pipelines with tools such as Jenkins, GitLab CI or GitHub Actions.</li><li>Solid Linux administration skills and working knowledge of Windows Server.</li><li>Scripting skills in Python and Bash.</li><li>Good understanding of networking: TCP/IP, DNS, HTTP/S, load balancing, VPN and firewalls.</li><li>Experience with monitoring and logging tools (e.g. CloudWatch, Datadog).</li><li>Comfortable with Git and Git-based workflows.</li><li>Understanding of Snowflake data warehousing, with the ability to help improve data quality and controls across data processes.</li></ul><p><br></p><p><strong><u>Preferred Qualifications:</u></strong></p><ul><li>Cloud certifications such as AWS Solutions Architect / SysOps Associate, Azure Administrator (AZ-104) or CKA.</li><li>Configuration management with Ansible, Chef or Puppet.</li><li>Exposure to multi-cloud or hybrid (on-premise + cloud) environments.</li><li>Familiarity with FinOps practices and cloud cost tooling.</li><li>Experience in regulated industries such as CFD brokerage or fintech.</li></ul><p><br></p><p><strong>Soft skills</strong></p><ul><li>Clear written and verbal communication with technical and non-technical teams.</li><li>Ownership: follows tasks through to completion and document the work.</li><li>Eagerness to learn new tools and improve existing processes.</li></ul>

<p><strong>Job Title:</strong> Machine Learning Engineer / Data Scientist<br> <strong>Experience Required:</strong> 6+ years (including 3+ years hands-on model development and production deployment)<br> <strong>Model:</strong> Onsite (Abu Dhabi)<br> <strong>Project Location:</strong> Abu Dhabi UAE<br> <strong>Language:</strong> Arabic speaking preferred, English required<br> <strong>Start Date:</strong> As soon as possible<br> <strong>Duration:</strong> 6 12 months</p> <p> </p> <strong>About the Role</strong> <p>We are seeking a Machine Learning Engineer / Data Scientist to develop, validate, deploy, and monitor machine learning models for business and operational use cases. You will build reproducible ML pipelines and operationalize models using enterprise data platforms, delivering end-to-end ML solutions in complex enterprise environments. The ideal candidate has strong applied data science skills and hands-on production ML Ops experience.</p> <p> </p> <strong>Key Responsibilities:</strong> <ul> <li>Translate analytical requirements into predictive and optimization solutions.</li> <li>Perform data preparation and feature engineering.</li> <li>Train, test, validate, and explain ML models.</li> <li>Build pipelines for model versioning, deployment, retraining, and monitoring.</li> <li>Integrate models into business and operational workflows.</li> <li>Prepare technical documentation and knowledge-transfer materials.</li> </ul> <p> </p> <strong>Must Have:</strong> <ul> <li> <strong>Experience:</strong> Minimum 6 years of data science or machine learning experience, including at least 3 years of hands-on model development and production deployment.</li> <li> <strong>Production track record:</strong> Experience delivering end-to-end ML solutions in complex enterprise environments.</li> <li> <strong>Python:</strong> Advanced Python skills, including pandas, NumPy, scikit-learn, and PyTorch or TensorFlow.</li> <li> <strong>ML techniques:</strong> Strong knowledge of regression, classification, clustering, time-series forecasting, anomaly detection, optimization, and model explainability.</li> <li> <strong>Azure ML:</strong> Hands-on experience with Azure Machine Learning, notebooks, experiments, pipelines, model registry, managed endpoints, and monitoring.</li> <li> <strong>SQL &amp; data:</strong> Strong SQL skills and experience with large-scale structured and time-series datasets.</li> <li> <strong>ML Ops:</strong> Experience with ML flow, Git, Azure DevOps, CI/CD, Docker, APIs, and production ML Ops.</li> <li> <strong>Language:</strong> English required; Arabic speaking preferred.</li> <li> <strong>Availability:</strong> Onsite in Abu Dhabi; able to start as soon as possible.</li> </ul> <p> </p> <strong>Good to Have:</strong> <ul> <li>Experience with Microsoft Fabric, Spark, or Databricks.</li> <li>Relevant Azure Data Scientist or AI certifications.</li> <li>Experience with operational, energy, financial, asset-performance, forecasting, optimization, or predictive-maintenance use cases.</li> </ul> <i> </i> Share<p><strong>Desired Candidate Profile</strong></p><ul> <li> <strong>Experience:</strong> Minimum 6 years of data science or machine learning experience, including at least 3 years of hands-on model development and production deployment.</li> <li> <strong>Production track record:</strong> Experience delivering end-to-end ML solutions in complex enterprise environments.</li> <li> <strong>Python:</strong> Advanced Python skills, including pandas, NumPy, scikit-learn, and PyTorch or TensorFlow.</li> <li> <strong>ML techniques:</strong> Strong knowledge of regression, classification, clustering, time-series forecasting, anomaly detection, optimization, and model explainability.</li> <li> <strong>Azure ML:</strong> Hands-on experience with Azure Machine Learning, notebooks, experiments, pipelines, model registry, managed endpoints, and monitoring.</li> <li> <strong>SQL &amp; data:</strong> Strong SQL skills and experience with large-scale structured and time-series datasets.</li> <li> <strong>ML Ops:</strong> Experience with ML flow, Git, Azure DevOps, CI/CD, Docker, APIs, and production ML Ops.</li> <li> <strong>Language:</strong> English required; Arabic speaking preferred.</li> <li> <strong>Availability:</strong> Onsite in Abu Dhabi; able to start as soon as possible.</li> </ul> <p><strong>Good to Have:</strong></p> <ul><li>Experience with Microsoft Fabric, Spark, or Databricks.</li><li>Relevant Azure Data Scientist or AI certifications.</li><li>Experience with operational, energy, financial, asset-performance, forecasting, optimization, or predictive-maintenance use cases.</li></ul>

<p>Location: Onsite RAK UAE<br> Employment Type: Full-Time<br> Duration: 6 months with possible extension</p> <p>Role Overview:<br> We are looking for an experienced SAP BTP Cloud Foundry Full Stack Developer to design, develop, and deploy cloud-native applications on the SAP Business Technology Platform (BTP) Cloud Foundry environment.</p> <p>The developer will work on end-to-end application development, including CAP-based backend services, UI5/Fiori front-end applications, HANA Cloud persistence, and Cloud Foundry deployment pipelines. The ideal candidate must have deep expertise in Cloud Foundry runtimes, BTP services, service bindings, deployment automation, and application security within SAP BTP.</p> <p>Key Responsibilities:</p> <p>1. Cloud Foundry Development &amp; Deployment<br> Develop and deploy applications using Cloud Foundry runtimes (Node.js, Java).<br> Build, package, and deploy Multi-Target Applications (MTA) using Cloud Foundry CLI, mbt, and CI/CD pipelines.<br> Configure and consume essential BTP Cloud Foundry services, including:<br> XSUAA<br> Destination &amp; Connectivity<br> HANA Cloud (HDI containers)<br> HTML5 Application Repository<br> Workflow, Business Rules, Event Mesh (optional)<br> Manage and optimize Cloud Foundry service bindings, environment variables (VCAP), and instance scaling.</p> <p>2. Backend Development (CAP Model)<br> Build backend services using SAP CAP (Node.js/Java) with CDS models.<br> Implement OData v2/v4 and REST APIs for integrations.<br> Develop modular microservices aligned with SAP BTP cloud-native architecture.<br> Implement business logic, authorization, validations, and persistence models.</p> <p>3. Frontend Development<br> Develop responsive UI using SAP UI5/Fiori Elements.<br> Integrate UI with backend CAP services using OData/REST.<br> Ensure performance, reusability, and best practices in UI component design.</p> <p>4. Database &amp; Persistence<br> Work with SAP HANA Cloud:<br> Design CDS entities, associations, and projection views.<br> Develop SQLScript, create HDI artifacts, and optimize queries.<br> Manage database migrations, schema updates, and seed data.</p> <p>5. Security &amp; Authentication<br> Implement XSUAA-based authentication &amp; authorization, scopes, and roles.<br> Integrate with IAS/IPS for SSO and identity federation.<br> Follow SAP BTP best practices for secure API interaction and data handling.</p> <p>6. Integration &amp; Connectivity<br> Integrate with SAP S/4HANA, SAP CPI, external APIs, and third-party systems.<br> Configure Destinations &amp; Cloud Connector for secure connectivity.<br> Create OpenAPI/Swagger specifications and ensure clean API governance.</p> <p>7. DevOps, CI/CD &amp; Operations<br> Build and maintain CI/CD pipelines for Cloud Foundry deployments.<br> Manage log drain services, monitoring dashboards, and audit trails.<br> Implement automated tests, health checks, and performance optimizations.<br> Support troubleshooting and production issue resolution.</p><p><strong>Desired Candidate Profile</strong></p><p>Required Skills &amp; Experience</p> <p> 4 8 years in full-stack development, with 2+ years hands-on in SAP BTP Cloud Foundry.<br> Strong expertise in:<br> Cloud Foundry CLI, MTA builds, service bindings<br> Node.js/Java runtime development<br> SAP CAP (Cloud Application Programming Model)<br> SAP UI5/Fiori<br> SAP HANA Cloud &amp; HDI containers<br> Proven experience integrating applications with S/4HANA, CPI, or external systems.<br> Strong understanding of microservices architecture, cloud-native design, and BTP service model.<br> Experience with Git, CI/CD (Jenkins, GitHub Actions, Azure DevOps), and agile development.</p> <p>Preferred Qualifications<br> SAP Certifications in BTP, CAP, or Cloud Foundry development.<br> Experience with Kubernetes/Kyma is a plus.<br> Experience with SAP API Management, Event Mesh, or Workflow services.</p>

<p><strong>Digital Technology Director</strong></p><p>Onsite | Dubai or Abu Dhabi | Full Time</p><p><br></p><p>Create. is a strategic, digital creative communications agency that partners with the region’s nation builders as well as some of the most exciting local and global brands. Now part of the Stagwell network, we were named Campaign Magazine’s Digital Agency and Independent Creative Agency of the Year, and Adweek recognised us as one of the fastest-growing creative agencies globally.</p><p><br></p><p>We’re looking for a Digital Technology Director to be the senior technology authority across Create DX, our digital experience practice. Reporting to the Head of DX, you’ll lead the architecture, engineering, QA automation, DevOps and AI enablement behind web, app, CMS and platform builds for major government, culture and tourism clients. You’ll also help set technology standards across the wider Create group.</p><p><br></p><p>This is a leadership role where you stay close to the work. Client IT teams will trust you to make big platform decisions and defend them, and our engineers will come to you when builds get complex. You sign off the technical architecture and engineering assumptions before we make any commercial commitment.</p><p><br></p><p><strong>What You’ll Do</strong></p><p>Act as the senior technical partner to client IT, data and product teams, leading discovery, architecture definition, integration strategy and solution workshops</p><p>Set and maintain standards across CMS, frameworks, cloud infrastructure, APIs, analytics, hosting and deployment, with clear governance for DevSecOps, documentation and risk</p><p>Drive automation across CI/CD, regression testing, QA and environment management, and build reusable frameworks and component libraries</p><p>Lead technical scoping, estimation and risk evaluation on new and existing business</p><p>Select, onboard and manage development, cloud, AI and infrastructure partners</p><p>Pilot AI, composable and headless architecture, and guide clients and developers on using AI responsibly</p><p>Mentor engineering and delivery teams, and help us hire and grow technical talent</p><p><br></p><p><strong>What We’re Looking For</strong></p><p>Based in Dubai or Abu Dhabi, available onsite full time from Q4 2026</p><p>10+ years in technology leadership at digital agencies, consultancies or technology-led organisations, covering cloud architecture, engineering, DevOps and QA automation</p><p>A track record of owning technical governance and vendor relationships across multiple accounts or brands</p><p>Strong command of modern web, app and CMS architecture, cloud infrastructure and integration strategy</p><p>Hands-on experience guiding AI-enabled delivery and automation adoption</p><p>The ability to explain technical trade-offs as clear business implications for C-suite stakeholders</p><p>MENAT market experience preferred</p><p>Professional fluency in English; Arabic is a plus</p><p><br></p><p><strong>What Success Looks Like</strong></p><p>Client IT and product teams see you as a trusted transformation partner, and technical escalations drop</p><p>Products launch secure, scalable and fast, with very few issues after launch</p><p>Engineering gets faster and estimates get more accurate through automation, governance and reusable frameworks</p><p>AI-ready platforms and innovation pilots move from proof of concept to everyday practice</p><p><br></p><p>We think without borders, so that everyone can belong.</p><p> Apply now if you’re ready to lead the technology behind Remarkable Works. Include your CV.</p>

<p>Our client is looking for a Dynamics 365 Customization Specialist to design, build, and maintain customizations on its Dynamics 365 Customer Engagement and Power Platform environment. In this role, you will turn business requirements into secure, scalable solutions, working closely with business analysts, solution architects, and the IT security function in a highly regulated environment.</p> <h4>Key Responsibilities</h4> <p> <strong>Solution Customization and Configuration</strong> </p> <ul> <li>Configure and customize Dynamics 365 CE modules, including tables, forms, views, fields, relationships, business rules, and dashboards</li> <li>Build and maintain model driven apps and, where needed, canvas apps on the Power Platform</li> <li>Design and manage Dataverse data models in line with enterprise data standards</li> <li>Develop business process flows to standardize case handling, approvals, and workflows </li> </ul> <p> <strong>Development and Extensibility</strong> </p> <ul> <li>Develop plugins (C#/.NET) and custom workflow activities for server side logic</li> <li>Write client side scripts in JavaScript/TypeScript for form events and UI behavior</li> <li>Build PCF (Power Apps Component Framework) controls where standard components fall short</li> <li>Automate processes with Power Automate cloud flows, including approvals and integrations </li> </ul> <p> <strong>Integration</strong> </p> <ul> <li>Integrate Dynamics 365 with internal systems through Dataverse Web API, REST/SOAP services, Azure Logic Apps, Azure Functions, and Azure Service Bus</li> <li>Support data migration and data quality work using tools such as KingswaySoft, SSIS, or Azure Data Factory </li> </ul> <p> <strong>Security and Governance</strong> </p> <ul> <li>Configure security roles, business units, teams, field level security, and hierarchy security following least privilege principles</li> <li>Make sure all customizations comply with information security policies, data classification, and audit requirements</li> <li>Maintain solution documentation, technical design documents, and change records </li> </ul> <p> <strong>ALM and Release Management</strong> </p> <ul> <li>Manage managed and unmanaged solutions across Dev, Test, UAT, and Production environments</li> <li>Support CI/CD pipelines using Azure DevOps or Power Platform Pipelines</li> <li>Follow formal change management and release processes </li> </ul> <p> <strong>Support and Stakeholder Engagement</strong> </p> <ul> <li>Provide L2/L3 support for production issues, including root cause analysis and fixes</li> <li>Work with business users to clarify requirements and propose solution options</li> <li>Support UAT and user training where required </li> </ul> <h4>Technical Requirements</h4> <p> <strong>Must have</strong> </p> <ul> <li>5+ years in Dynamics 365 CE / CRM with deep hands on customization experience</li> <li>Strong knowledge of Dataverse, model driven apps, and solution architecture</li> <li>Plugin development in C#/.NET and client side scripting in JavaScript</li> <li>Power Automate and Power Apps experience in production environments</li> <li>Dynamics 365 security model configuration</li> <li>Solution based ALM across multiple environments</li> <li>Integration experience using Web API and Azure services </li> </ul> <p> <strong>Good to have</strong> </p> <ul> <li>PCF control development</li> <li>Power Pages (Portals)</li> <li>Azure DevOps CI/CD for Power Platform</li> <li>Experience in banking, financial services, or government entities</li> <li>Exposure to case management or complaints handling workflows </li> </ul> <h4>Certifications (Preferred)</h4> <ul> <li>Microsoft Certified: Power Platform Developer Associate (PL-400)</li> <li>Microsoft Certified: Dynamics 365 Customer Service Functional Consultant Associate (MB-230)</li> <li>Microsoft Certified: Power Platform Functional Consultant Associate (PL-200)</li> <li>Microsoft Certified: Power Platform Solution Architect Expert (PL-600), a strong plus </li> </ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor s degree in Computer Science, Information Technology, or a related field</li></ul><ul><li>Clear communicator with both technical and business stakeholders</li><li>Disciplined about documentation and change control</li><li>Comfortable working within strict governance and security frameworks</li><li>Able to work independently and own deliverables<br> </li></ul>

Job Title: Senior Kubernetes Cluster Reliability Specialist<p><strong>Location:</strong> United Arab Emirates (Remote)</p><p><strong>Employment Type:</strong> Full-Time</p><p><strong>Work Arrangement:</strong> 100% Remote — Work From Home</p>About the Role<p>We are seeking an experienced Senior Kubernetes Cluster Reliability Specialist to maintain, optimize, and improve the reliability, scalability, and security of Kubernetes-based infrastructure. The successful candidate will manage cluster operations, troubleshoot complex infrastructure issues, strengthen monitoring and recovery capabilities, and ensure highly available containerized workloads across cloud and hybrid environments.</p>Key Responsibilities<ul><li>Design, deploy, maintain, and optimize Kubernetes clusters across cloud, on-premises, or hybrid environments.</li><li>Monitor cluster health, node performance, workload availability, resource utilization, and overall system reliability.</li><li>Troubleshoot pod failures, scheduling issues, networking problems, storage errors, and cluster-level incidents.</li><li>Configure and maintain cluster networking, ingress controllers, persistent storage, service discovery, and load balancing.</li><li>Implement high-availability strategies, disaster recovery procedures, backup policies, and cluster recovery plans.</li><li>Manage Kubernetes upgrades, version compatibility, security patches, and cluster lifecycle operations.</li><li>Optimize resource allocation through requests, limits, autoscaling, capacity planning, and workload scheduling.</li><li>Establish observability using metrics, logs, traces, alerts, and tools such as Prometheus and Grafana.</li><li>Strengthen cluster security through role-based access control (RBAC), network policies, secrets management, and security scanning.</li><li>Collaborate with DevOps, SRE, development, and security teams to improve deployment reliability and operational efficiency.</li><li>Automate cluster provisioning, configuration management, maintenance tasks, and operational workflows.</li><li>Document cluster architecture, incident findings, standard operating procedures, and reliability improvement initiatives.</li></ul>Qualifications and Experience<ul><li>Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related technical discipline.</li><li>At least 5–8 years of experience in infrastructure engineering, cloud operations, DevOps, or site reliability engineering.</li><li>Strong hands-on experience managing Kubernetes clusters in production environments.</li><li>Knowledge of container technologies, including Docker or compatible container runtimes.</li><li>Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud and their managed Kubernetes services.</li><li>Strong understanding of Linux administration, networking, DNS, load balancing, storage, and distributed systems.</li><li>Experience with Helm, GitOps workflows, and tools such as Argo CD or Flux.</li><li>Familiarity with infrastructure as code using Terraform, Ansible, or comparable tools.</li><li>Experience with monitoring and logging platforms such as Prometheus, Grafana, and the Elastic Stack.</li><li>Understanding of Kubernetes security, RBAC, network policies, secrets handling, and vulnerability management.</li><li>Strong troubleshooting, incident management, analytical, and documentation skills.</li><li>Ability to work independently and coordinate effectively with distributed teams in a remote environment.</li></ul>What We Offer<ul><li>Competitive compensation based on qualifications and professional experience.</li><li>A 100% remote working arrangement with flexible coordination across distributed teams.</li><li>Opportunities to manage large-scale container infrastructure and improve platform reliability.</li><li>A collaborative environment focused on technical excellence, automation, and continuous improvement.</li></ul>How to Apply<p>Interested candidates should submit an updated CV and a brief cover letter highlighting their experience in Kubernetes administration, cluster reliability, cloud infrastructure, incident response, and automation.</p><p><strong>Email Subject:</strong> Application – Senior Kubernetes Cluster Reliability Specialist (United Arab Emirates Remote)</p><ul><li>Candidates should confirm applicable employment arrangements, residency requirements, and work authorization before accepting an offer.</li></ul>

<p>We are looking for an experienced <strong>ML Engineer (MLOps)</strong> to take machine learning models and AI pipelines from proof of concept to scalable, reliable production deployment.</p><p>In this hands-on role, you will be responsible for deploying, monitoring, and optimizing machine learning solutions across cloud and edge environments. You will work closely with Data Scientists, Software Engineers, DevOps teams, and Product Managers to deliver robust, efficient, and production-ready AI solutions.</p><p><br></p><p>Key Responsibilities</p><ul><li><strong>Model Deployment:</strong> Deploy machine learning models and AI pipelines from development and proof of concept into production, ensuring scalability, reliability, and performance through CI/CD integration and orchestration.</li><li><strong>Monitoring and Maintenance:</strong> Implement monitoring, evaluation, and maintenance strategies to maintain model accuracy, reliability, and performance in production.</li><li><strong>Model Optimization:</strong> Optimize models for inference speed and resource efficiency using techniques such as quantization, pruning, and knowledge distillation, particularly for edge and cloud deployment.</li><li><strong>Data Preparation:</strong> Perform data collection, cleaning, preprocessing, and feature engineering to prepare high-quality datasets for model training.</li><li><strong>Model Training and Tuning:</strong> Develop continuous or semi-continuous training and evaluation workflows, fine-tune models, and maintain model performance over time.</li><li><strong>MLOps and Automation:</strong> Contribute to automated ML pipelines, model lifecycle management, and reproducible workflows using appropriate MLOps tools.</li><li><strong>Cross-functional Collaboration:</strong> Work with Data Scientists, Software Engineers, DevOps teams, and Product Managers to translate business and technical requirements into reliable ML solutions.</li><li><strong>Documentation:</strong> Maintain clear documentation of code, models, deployment workflows, and operational processes.</li></ul><p><br></p><p><strong>Required Qualifications and Experience</strong></p><ul><li>Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, or a related field.</li><li><strong>5–9 years of relevant professional experience</strong> in machine learning engineering or related roles.</li><li>Strong proficiency in Python and experience with ML libraries such as PyTorch, NumPy, Pandas, and Scikit-learn.</li><li>Practical knowledge of machine learning model deployment, containerization, and orchestration using Docker and Kubernetes.</li><li>Experience with SQL and NoSQL databases.</li><li>Familiarity with at least one cloud platform: AWS, Microsoft Azure, or Google Cloud Platform (GCP).</li><li>Experience with MLOps tools such as MLflow, ClearML, Azure Machine Learning, or AWS SageMaker.</li><li>Strong understanding of deep learning, reinforcement learning, and other machine learning techniques.</li></ul><p><strong>Preferred Qualifications</strong></p><ul><li>Experience deploying computer vision models to edge devices or resource-constrained environments.</li><li>Familiarity with infrastructure-as-code tools and observability platforms.</li><li>Experience with model optimization, GPU acceleration, or distributed computing.</li><li>Contributions to open-source computer vision projects or relevant technical publications.</li></ul><p><br></p><p><strong>Technical Environment</strong></p><p><strong>Programming and ML:</strong> Python, PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, OpenCV, FastAPI.</p><p><strong>Deployment and CI/CD:</strong> Docker, Kubernetes, GitLab CI/CD.</p><p><strong>MLOps and Distributed Computing:</strong> MLflow, Kubeflow, Ray, ClearML.</p><p><strong>Cloud:</strong> AWS, Azure, GCP.</p><p><strong>Databases:</strong> PostgreSQL, MySQL, MongoDB, Elasticsearch, Neo4j.</p><p><strong>Deep Learning:</strong> CNNs, LSTMs, GANs, Transformers, and LLMs.</p><p><strong>Messaging and GPU Computing:</strong> RabbitMQ, Kafka, CUDA, RAPIDS, Numba.</p><p><br></p><p>If you have strong hands-on experience deploying and operating machine learning models in production, we would love to hear from you.</p>

<p><strong><u>Position Summary:-</u></strong></p><p>We are seeking a seasoned and highly analytical Senior Database Support Engineer to ensure the performance, availability, and security of our database environments across MySQL, PostgreSQL and NoSQL platforms. The ideal candidate combines deep technical expertise with strong troubleshooting ability and is confident supporting Development, Infrastructure, DevOps and Data/Analytics teams in a fast-paced production environment.</p><p><br></p><p>This role requires someone who can resolve complex production issues, drive root cause analysis, and support modern data platforms, while keeping database operations stable, secure and compliant.</p><p><br></p><p>Employment Type: Full-time/Onsite</p><p>Coverage: Extended-hours / on-call rotation across multiple regional markets</p><p><br></p><p><strong><u>Key Responsibilities:-</u></strong></p><ul><li>Provide database support to Development, Infrastructure, DevOps, and Data/Analytics teams across MySQL, PostgreSQL, and NoSQL (MongoDB, Couchbase) environments</li><li>Act as Level 2 escalation for database-related production incidents; lead root cause analysis (RCA) and drive corrective/preventive actions to closure</li><li>Install and configure MySQL (InnoDB and NDB Cluster storage engines), set up and maintain replication, and resolve replication issues</li><li>Review, validate, and advise on schema changes, stored procedures, functions, and triggers submitted by development teams; guide developers on query and indexing optimization</li><li>Monitor database health, performance, capacity, and availability; proactively identify risks and apply corrective actions, including configuration tuning and workload analysis</li><li>Support and maintain MinIO/S3-compatible object storage — bucket management, access policies, lifecycle rules, and integration with data pipelines and archival processes</li><li>Support data lakehouse environments integrating relational databases, object storage, and query engines (Apache Spark, Apache Iceberg, Dremio, Trino); assist Data/Analytics teams with ingestion, transformation, and archival workloads</li><li>Implement and maintain database security controls — access management, privileges, authentication, and encryption; perform regular audits, integrity checks, and access reviews</li><li>Execute and validate backup and recovery procedures; support BC/DR planning, testing, and contingency activities</li><li>Review and support database changes across Dev, Test, Pre-Production, and Production environments per change management procedures</li><li>Maintain documentation of configurations, support procedures, change records, and operational runbooks aligned to organisational standards</li></ul><p><br></p><p><strong><u>Qualifications &amp; Experience:-</u></strong></p><ul><li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li><li>6 + years of combined experience in database development and/or database support roles.</li><li>Strong proficiency in developing stored procedures, functions, triggers, and ETL processes.</li><li>Strong expertise in configuring and maintaining database software across production and non-production environments.</li><li>Expertise in MySQL and PostgreSQL databases.</li><li>Expertise in MongoDB or Couchbase databases.</li><li>Expertise in implementing and managing Redis caching solutions.</li><li>Hands-on experience with MinIO or S3-compatible object storage — bucket management, access policies (IAM), lifecycle rules, and data archival integration.</li><li>Knowledge of data lakehouse concepts and tooling — Apache Iceberg / Delta Lake table formats, query engines such as Dremio, Trino, or Apache Spark, and metadata catalogue services (e.g., Project Nessie).</li><li>Experience with big data technologies (e.g., Hadoop, Spark).</li><li>Knowledge of data warehouse technologies.</li><li>Experience in performance tuning and optimisation.</li><li>Good knowledge of backup and recovery procedures.</li><li>Knowledge of programming languages such as Python or JavaScript.</li><li>Excellent problem-solving and troubleshooting skills.</li><li>Ability to work collaboratively in a team environment.</li><li>Strong communication skills</li></ul><p><br></p>

<strong>About The Role<br><br></strong>We are hiring a Senior Python Engineer to design, build and run scalable backend systems that power data driven applications. You will develop secure, high performance APIs and microservices, build backend services that serve datasets efficiently, and own data transformation pipelines from ingestion to delivery. This role suits an engineer who writes clean production code and also takes ownership of how that code is tested, deployed and run in production.<br><br><strong>Key Responsibilities<br><br></strong><em>Backend and API Development<br><br></em><ul><li>Design, develop and maintain RESTful APIs and microservices using Python (FastAPI, Flask, Django)</li><li>Build asynchronous, high concurrency services using asyncio, and optimise I/O operations for performance</li><li>Design and maintain scalable internal web frameworks and take them to production</li><li>Work with front end teams to integrate user facing features with server side logic</li><li>Write clean, efficient, well documented code that follows coding standards<br><br></li></ul><em>API Security<br><br></em><ul><li>Implement authentication, authorisation and encryption across microservices</li><li>Secure APIs using OAuth 2.0, JWT and API gateways<br><br></li></ul><em>Data Access and Database Management<br><br></em><ul><li>Build backend systems that serve datasets through APIs and other interfaces</li><li>Implement data access layers using ORMs such as SQLAlchemy and Django ORM (models, CRUD, querying, transactions)</li><li>Design and optimise database schemas for relational and NoSQL stores</li><li>Tune query and database performance for fast, reliable data retrieval<br><br></li></ul><em>Data Transformation and ETL<br><br></em><ul><li>Design and maintain ETL pipelines to extract, clean, aggregate and enrich data</li><li>Ensure data integrity, quality and consistency across all transformation processes</li><li>Work with big data and streaming technologies such as Spark, Kafka and Hadoop<br><br></li></ul><em>Engineering Practices and DevOps<br><br></em><ul><li>Build and maintain CI/CD pipelines for automated testing and deployment</li><li>Write unit and integration tests and debug production issues using logging and profiling tools</li><li>Use Git for version control, branching, code reviews and pull requests</li><li>Produce clear technical documentation and contribute to code reviews<br><br></li></ul><strong>Required Skills And Qualifications<br><br></strong><ul><li>Bachelor's degree in Computer Science, Information Technology or a related field</li><li>5+ years of professional experience in Python backend development</li><li>Strong hands on experience with FastAPI and/or Flask, plus working knowledge of Django</li><li>Proven experience with asyncio and concurrent programming</li><li>Solid understanding of microservices architecture</li><li>Experience securing APIs with OAuth, JWT and API gateways</li><li>Strong SQL skills and experience with SQLAlchemy or Django ORM</li><li>Experience with relational (PostgreSQL, MySQL, Oracle) and NoSQL (MongoDB, Redis, Cassandra) databases</li><li>Experience building ETL or data transformation pipelines</li><li>Familiarity with big data technologies (Spark, Kafka, Hadoop) and data warehousing concepts</li><li>Experience building and maintaining CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, Azure DevOps)</li><li>Proficiency in Shell scripting</li><li>Strong Git and collaborative development experience</li><li>Strong problem solving skills and attention to detail</li><li>Excellent communication skills with technical and business stakeholders<br><br></li></ul><strong>Preferred Skills<br><br></strong><ul><li>Experience with cloud platforms (AWS, Azure or GCP)</li><li>Containerisation and orchestration with Docker and Kubernetes</li><li>Knowledge of data governance, compliance and data security best practices</li><li>Experience in banking, fintech or other regulated environments</li></ul>