Python Developer Jobs in UAE

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br>Job Description<br><p><strong>We are&nbsp;</strong>currently looking for<strong> &nbsp;AI Solutions Engineer for (Offshore/Onsite) our UAE operations</strong> with the following terms &amp; conditions.</p><br><p><strong>Qualifications:</strong></p><br><p>Education: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field.</p><br><p><strong>Experience:</strong></p><br><ul><li>Good years of experience in AI, machine learning, and solution architecture, with a proven track record of designing and deploying AI solutions.</li><li>Hands-on experience with AI tools and platforms and cloud services like Microsoft Azure.</li><li>Strong background in machine learning algorithms, deep learning, data processing, and systems integration. Ability to drive architecture governance, code quality, and technical standards.</li><li>Proven experience delivering AI and digital transformation solutions within financial services, banking, fintech, regulatory authorities, or highly regulated environments, with a strong understanding of compliance, governance, risk management, and regulatory requirements.</li></ul><p><strong>Technical Skills:</strong></p><br><ul><li>Proficient in programming languages such as Python, Java, or C++.</li><li>Familiarity with data pipeline tools and frameworks</li><li>Experience with cloud infrastructure, containerization (Docker, Kubernetes), and DevOps practices.</li><li>Solid understanding of data architecture, data science, security, and privacy considerations in AI systems.</li><li>Design AI solutions integrated with enterprise platforms (Salesforce CRM, datalakes, CMS, APIs). Hands-on experience with frameworks like Hugging Face, LangChain, Foundry, OpenAI APIs etc.</li><li>Demonstrated experience in designing, developing, and deploying Agentic AI solutions, including autonomous AI agents, multi-agent systems, AI orchestration frameworks, and agent-based workflow automation using platforms such as Azure AI Foundry, Agentforce, etc</li></ul><p><br> <strong>Soft Skills:</strong></p><br><ul><li>Strong analytical and problem-solving skills.</li><li>Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.</li><li>Leadership experience and the ability to work effectively in cross-functional teams.</li><li>Detail-oriented and focused on delivering high-quality, scalable solutions.</li></ul><p><strong>Data &amp; Integration:</strong></p><br><ul><li>Familiarity with data engineering tools, data lakehouses (Fabric), and ETL pipelines.</li><li>Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.</li></ul><p><strong>Experience:</strong><strong>6 to 8 Years</strong></p><br><p><strong>Preferred Qualifications:</strong></p><br><p>Experience with advanced AI techniques such as reinforcement learning, natural language processing, or computer vision.<br> Knowledge of AI ethics and bias mitigation strategies.</p><br><p><strong>Terms and conditions</strong></p><br><p><strong>Joining time frame:</strong> Immediate</p><br><br>Additional Information<br><p><strong><u>Terms and conditions:</u></strong>&nbsp;</p><br><p><strong>Joining time frame:</strong>&nbsp;&nbsp; <strong>maximum 4 weeks</strong></p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br>Job Description<br><p>We are currently looking for AI Solutions Engineer for (Offshore/Onsite) our UAE operations with the following terms &amp; conditions.</p><br><p>Qualifications:</p><br><p>Education: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field.</p><br><p>Experience:</p><br><p>• Good years of experience in AI, machine learning, and solution architecture, with a proven track record of designing and deploying AI solutions.</p><br><p>• Hands-on experience with AI tools and platforms and cloud services like Microsoft Azure.</p><br><p>• Strong background in machine learning algorithms, deep learning, data processing, and systems integration. Ability to drive architecture governance, code quality, and technical standards.</p><br><p>• Proven experience delivering AI and digital transformation solutions within financial services, banking, fintech, regulatory authorities, or highly regulated environments, with a strong understanding of compliance, governance, risk management, and regulatory requirements.</p><br><p>Technical Skills:</p><br><p>• Proficient in programming languages such as Python, Java, or C++.</p><br><p>• Familiarity with data pipeline tools and frameworks</p><br><p>• Experience with cloud infrastructure, containerization (Docker, Kubernetes), and DevOps practices.</p><br><p>• Solid understanding of data architecture, data science, security, and privacy considerations in AI systems.</p><br><p>• Design AI solutions integrated with enterprise platforms (Salesforce CRM, datalakes, CMS, APIs). Hands-on experience with frameworks like Hugging Face, LangChain, Foundry, OpenAI APIs etc.</p><br><p>• Demonstrated experience in designing, developing, and deploying Agentic AI solutions, including autonomous AI agents, multi-agent systems, AI orchestration frameworks, and agent-based workflow automation using platforms such as Azure AI Foundry, Agentforce, etc</p><br><p>Soft Skills:</p><br><p>• Strong analytical and problem-solving skills.</p><br><p>• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.</p><br><p>• Leadership experience and the ability to work effectively in cross-functional teams.</p><br><p>• Detail-oriented and focused on delivering high-quality, scalable solutions.</p><br><p>Data &amp; Integration:</p><br><p>• Familiarity with data engineering tools, data lakehouses (Fabric), and ETL pipelines.</p><br><p>• Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.</p><br><p>Experience: 6 to 8 Years</p><br><p>Preferred Qualifications:</p><br><p>Experience with advanced AI techniques such as reinforcement learning, natural language processing, or computer vision.</p><br><p>Knowledge of AI ethics and bias mitigation strategies.</p><br><p>Terms and conditions</p><br><p>Joining time frame: Immediate</p><br><br>Additional Information<br><p><strong><u>Terms and conditions:</u></strong>&nbsp;</p><br><p><strong>Joining time frame:</strong>&nbsp;&nbsp; <strong>maximum 4 weeks</strong></p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>About the Role We are looking for a motivated and detail-oriented Agency Operations Intern to join the TikTok LIVE MENA team. In this role, you will support the growth of the LIVE agency ecosystem by working closely with internal stakeholders and agency partners across the MENA region. This internship is an excellent opportunity for students who are passionate about the creator economy, data analysis, and business operations. As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests Successful candidates must be able to commit to at least 3 month long internship period. Applications will be reviewed on a rolling basis - we encourage you to apply early. Responsibilities - Support daily operations and communications with TikTok LIVE agencies across the MENA region. - Coordinate with Arabic-speaking agency partners and internal teams to facilitate business initiatives. - Prepare, organise, and maintain operational documents, presentations, and training materials. - Collect, clean, and analyse business data to generate regular reports and operational insights. - Monitor key performance metrics and identify trends to support business decision-making. - Assist in planning and executing online and offline agency events, workshops, and training sessions. - Support cross-functional projects and perform other operational tasks as assigned. Minimum Qualifications: - Current undergraduate or postgraduate student. - Excellent communication skills in Arabic and English (both written and spoken). - Strong proficiency in Microsoft Excel, and PowerPoint. - Strong analytical skills with attention to detail and the ability to work with large datasets. - Excellent documentation and organisational skills. - Self-motivated, proactive, and able to manage multiple tasks in a fast-paced environment. - Able to work collaboratively with cross-functional teams. Preferred Qualifications: - Experience using SQL, Python, or data visualisation tools (e.g., Tableau, Power BI) is a plus. - Previous internship experience in operations, consulting, internet, or technology companies is preferred. - Passion for the creator economy, live-streaming, social media, or digital entertainment. Working Arrangement - Internship duration: 3-6 months (flexible based on availability). - On-site work is required for at least three days per week. - Office location: Dubai, United Arab Emirates.</p> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Overview of the role</b></p><p>As an Engineer in the Cloud Security Platforms team, you will be supporting the design, implementation, and maintenance of security tools across cloud and hybrid environments. This role focuses on operational support for key security controls while contributing to ongoing security improvement initiatives. You will work closely with experienced engineers and cross-functional teams to integrate security into operations and development workflows. You will build advanced skills and deep experience managing security platforms in a hybrid environment, managing firewalls, Web Application Firewalls (WAFs) and cloud-native security tools.</p><p>&nbsp;</p><p><b>What you will do</b></p><ul><li>Provide day-to-day operational support for security controls, including network firewalls, web application firewalls, cloud security groups and native cloud security services.</li><li>Participate in monitoring and documenting security incidents, provide incident response and manage escalations appropriately.</li><li>Support vulnerability management processes by maintaining systems and tools to their latest stable releases, participating in remediation efforts and coordinating with governance teams.</li><li>Participate in implanting new controls, automate routine tasks, contribute to security projects, support internal reviews and audits.</li><li>Collaborate with InfraOps, governance, DevOps and business teams to integrate security best practices in IT and business operations.</li></ul><p>&nbsp;</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Required Skills to be successful</b></p><ul><li>Strong analytical and problem-solving skills with attention to detail.</li><li>Effective communication and collaboration with technical and non-technical teams.</li><li>Commitment to continuous learning, ability to work independently and in a team setting.</li></ul><p>&nbsp;</p><p><b>What equips you for the role</b></p><ul><li>Bachelor’s degree in computer science, Information Technology, Cybersecurity or a related field.</li><li>1-3 years of work experience in IT Security, network administration, cloud ops or a similar role.</li><li>Good understanding of cybersecurity principles and cloud platforms (Azure, OCI, AWS) and basic understanding of cloud-native security features such as Defender for Cloud, IAM, Security Groups, Guard Duty, Sentinel.</li><li>Hands-on Exposure to security tools such as firewalls (e.g. Cisco, Palo Alto, Checkpoint, Fortinet), WAF (Cloudflare, f5, Imperva), cloud security controls.</li><li>Basic knowledge of networking concepts, security principles (e.g. Zero Trust, Lease Privilege) and common threats (e.g. DDoS, SQL injection).</li><li>Experience with scripting languages (Python, PowerShell) and automation tools (Terraform) is a plus.</li></ul><p><br></p></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Overview Of The Role:</b></p><p>The Senior Data Scientist will lead the development of advanced machine learning models to optimize demand forecasting and pricing strategies, driving increased profitability and customer satisfaction. This role requires a high level of expertise in Generative AI, MLOps, and cross-functional collaboration to ensure the seamless integration of data-driven solutions within the business. Success in this role is measured by the accuracy and robustness of predictive models, the optimization of pricing strategies, and the overall enhancement of customer analytics.</p><p><br></p><p><b>What You Will Do:</b></p><ul><li>Design, develop, and deploy demand forecasting models using traditional and machine learning techniques like ARIMA, XGBoost, and LSTM.</li><li>Leverage Generative AI (GenAI) to enhance demand forecasting accuracy by simulating future demand scenarios and improving model predictions.</li><li>Implement dynamic pricing models using advanced algorithms to optimize pricing strategies based on demand predictions, inventory levels, and competitor data.</li><li>Analyze customer behavior by applying clustering algorithms and predicting customer lifetime value (CLV) with machine learning models to drive personalized pricing strategies.</li><li>Monitor, evaluate, and fine-tune model performance using metrics such as MAE, RMSE, and Precision/Recall, continuously improving model accuracy and robustness.</li><li>Apply MLOps practices, including version control, model deployment pipelines, and automated testing, to ensure seamless integration, monitoring, and scaling of models across environments.</li><li>Collaborate with cross-functional teams, including marketing, product, and sales, to ensure alignment between forecasting models and business objectives.</li><li>Deploy and scale forecasting and pricing models on Azure cloud platform, leveraging CI/CD pipelines and model monitoring tools for real-time performance tracking and proactive issue resolution.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Required Skills To Be Successful:</b></p><ul><li>Advanced machine learning model development and optimization skills.</li><li>Expertise in Generative AI techniques for demand forecasting.</li><li>Proficiency in MLOps practices and model deployment pipelines.</li><li>Strong communication and collaboration abilities with cross-functional teams.</li></ul><p><br></p><p><b>What Qualifies You For The Role:</b></p><ul><li>Master's degree in Statistics, Data Science, Machine Learning, Mathematics, Computer Science, or a related quantitative field.</li><li>10+ years of experience in data science, with at least 5+ years focused on demand forecasting, price optimization, and customer analytics.</li><li>Strong hands-on experience with ARIMA, XGBoost, LSTM, and OR models.</li><li>Proficiency in Python, SQL, Databricks, and cloud platforms (Azure, GCP).</li></ul><p>&nbsp;</p></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <u><strong>FullStack Engineer</strong></u> <ul> <li>2 year extendable contract </li><li>Abu Dhabi | Office based </li></ul> <p>We are seeking a highly motivated <strong>Full-Stack Engineer</strong> to join our client's growing <strong>Data &amp; AI team</strong>. This role is critical to ensuring the reliability, scalability, security, and performance of an AI-powered platform running in the Microsoft Azure ecosystem.</p><br><br> <p>The successful candidate will combine strong backend engineering expertise with cloud infrastructure and DevOps capabilities, taking ownership of deployment pipelines, cloud environments, observability, cost optimization, and platform reliability. Working closely with AI and frontend engineers, you will help deliver innovative AI-driven products and services at scale.&nbsp;</p><br><br> <strong><u>Key Responsibilities</u></strong> <ul> <li>Design, develop, and maintain backend services and APIs that support AI-powered applications. </li><li>Build scalable, secure, and high-performing solutions using modern software engineering practices. </li><li>Collaborate with cross-functional teams to ensure seamless integration across platform components. </li><li>Manage and optimize cloud infrastructure within Microsoft Azure. </li><li>Implement and maintain Infrastructure as Code (IaC) practices. </li><li>Own CI/CD pipelines, including build, test, deployment, release, and rollback automation. </li><li>Provision and manage development, testing, and production environments.&nbsp; </li><li>Establish monitoring, logging, alerting, and observability across all platform services. </li><li>Investigate production issues, conduct root cause analysis, and implement preventive measures. </li><li>Drive continuous improvements in platform reliability, availability, and performance.&nbsp; </li><li>Implement cloud security best practices across networking, identity management, secrets management, and deployment processes. </li><li>Support DevSecOps initiatives and ensure compliance with organizational standards. </li><li>Manage access controls and operational governance across environments.&nbsp; </li></ul> <strong><u>Required Qualifications</u></strong> <ul> <li>Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline. </li><li>4-7 years of experience in software engineering, cloud infrastructure, DevOps, or related roles. </li><li>Strong hands-on experience with <strong>Microsoft Azure</strong> services and cloud architecture. </li><li>Experience with <strong>CI/CD tools</strong> such as Azure DevOps and GitHub Actions. </li><li>Proficiency in backend development using technologies such as <strong>Python</strong>, <strong>Node.js</strong>, or <strong>TypeScript</strong>. </li><li>Experience building and supporting <strong>microservices-based architectures</strong>. </li><li>Hands-on expertise with <strong>Docker</strong>, containers, and Kubernetes-based platforms such as <strong>Azure Kubernetes Service (AKS)</strong>. </li><li>Experience with monitoring and observability tools including Azure Monitor, Application Insights, Grafana, or similar solutions. </li><li>Knowledge of cloud security, DevSecOps, governance, and cost management practices. </li></ul> <br> #LI-MW1 <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>If you are a supply chain professional with a passion to innovate and contribute in a fast paced growing environment, you might be a good fit to join Amazon.com Supply chain team. This role involves big data handling and cross functional communication. The candidate is expected to have exceptional analytical, planning and written/verbal communication skills along with preferred experience in managing transportation function in retail domain.<br>Key job responsibilities<br>Support the end-to-end execution of transportation topology node launches. This will involve monitoring multiple operational dashboards, managing change requests from partner teams within the day, and coordinating launch activities across last mile and middle mile nodes from an execution standpoint. You will be expected to deploy requested jurisdiction changes within the set SLA with a high degree of accuracy, while simultaneously tracking topology launch milestones and flagging execution risks in real time. A high bar on attention to detail is essential — ensuring all requested changes and launch actions are completed accurately, fully, and on time.<br>A day in the life<br>Collect and analyze data <br>Transportation topology jurisdiction changes and analysis <br>Agentic AI solve for automation<br>Support business growth in constrained environment with innovative and automated solutions<br>Work on scaling up processes at a quick pace, by identifying, implementing available tools/automation.<br>Rollout best practices from other geographies/ companies to minimize end to end supply chain losses<br>Utilize problem-solving and communication skills to influence business, operations and technical audiences<br>Bring data driven solutions using analytical skills to contribute operations and growth in the organization<br>- Bachelor's degree<br>- Experience with Microsoft Office products and applications<br>- Candidate must have basic Supply Chain/Planning knowledge through work experience or coursework High proficiency in SQL, Python, and Microsoft Excel<br>Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p>CNS&nbsp;is a technology company that powers the future by providing digital solutions essential to support all enterprise and human development. While growing and managing a robust pool of supplier-partners for the benefit of our clients has always been a priority, we are constantly re-inventing ourselves.<br> Founded in 1987 with more than 30 years of experience, CNS employs over 320 employees including more than 250 certified engineers. We offer in-depth expertise and a range of best-in-class products that support the digital transformation of all major industries. With offices in three countries, we have an extensive reach into, and regional knowledge of the Middle East markets.<br> A shift into levering our many years of experience to develop pioneering software in-house will add yet another dimension to our highly innovative solutions-portfolio.</p><br><br>Job Description<br><p>We are looking for a motivated and proactive Software Engineer - Emirati Talent with around two years of professional experience to join our team. The ideal candidate is an Emirati software engineer who takes ownership of their work, enjoys solving challenging technical problems, and is eager to learn and grow in a collaborative environment.</p><br><p><strong>DUTIES &amp; RESPONSIBILITIES</strong><br> • Design, develop, test, and maintain scalable web applications and backend services.<br> • Take ownership of assigned features from design through deployment and support.<br> • Collaborate with cross-functional teams to deliver high-quality software solutions.<br> • Write clean, maintainable, and well-documented code.<br> • Troubleshoot, debug, and resolve production issues efficiently.<br> • Participate in code reviews and contribute to the continuous improvement of development practices.<br> • Ensure applications are secure, performant, and reliable.</p><br><br>Qualifications<br><p><strong>Education:</strong><br> • Bachelor's degree in Computer Science, Software Engineering.<br> • Relevant technical experience in software development, cloud, DevOps, or related areas.</p><br><p><strong>Experience</strong><br> • Around two years of professional software development experience.<br> • Experience across the software development lifecycle, production support, RESTful APIs, microservices, CI/CD, or cloud platforms.</p><br><p><strong>Skills &amp; Abilities</strong><br> • Python and Flask; Java and Spring Boot; PostgreSQL; basic React.js; Docker or<br> • ClickUp, RESTful APIs, microservices architecture, CI/CD pipelines, and cloud platforms.</p><br><br>Additional Information<br><p><em>Compliance with policies and procedures based on the ISO standards adopted by CNS.</em></p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<ul><li><p>Partner with development teams to ensure stable and secure software and systems operations.</p></li><li><p>Design, implement, and maintain robust CI/CD pipelines for backend, frontend, and mobile applications (Android, iOS, Huawei).</p></li><li><p>Build and manage end-to-end cloud solutions, including backup, disaster recovery, monitoring, and documentation.</p></li><li><p>Oversee production and non-production cloud environments.</p></li><li><p>Develop monitoring systems and custom dashboards capturing key platform metrics.</p></li><li><p>Automate and refine development, testing, and deployment workflows.</p></li><li><p>Monitor system health and remediate issues proactively.</p></li><li><p>Enhance and maintain Infrastructure as Code (IaC) practices.</p></li><li><p>Manage cloud infrastructure on platforms like AWS and Azure.</p></li><li><p>Optimize infrastructure for security, scalability, performance, and cost efficiency.</p></li><li><p>Contribute to and enhance internal open-source tools and automation frameworks.</p></li><li><p>Stay current with DevSecOps trends, cloud security advancements, and emerging best practices.</p></li><li><p>Implement and maintain mobile CI/CD processes including build automation, code signing, secure certificate/profile management, and publishing to app stores.</p></li><li><p>Utilize tools like Fastlane, Gradle, Xcode tools, or similar to automate mobile build and deployment workflows for the Google Play Store, Apple App Store, and Huawei AppGallery.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Demonstrated experience designing and supporting scalable, highly available systems.</p></li><li><p>Strong problem-solving ability and adaptability to new challenges and technologies.</p></li><li><p>Deep expertise in CI/CD tools and compliance processes (e.g., approvals, attestations, code signing).</p></li><li><p>Experience building pipelines for diverse platforms including:</p></li><li><p>Kubernetes</p></li><li><p>API Gateways</p></li><li><p>Databases</p></li><li><p>Android, iOS, and Huawei mobile applications</p></li><li><p>Web applications</p></li><li><p>Advanced knowledge of Kubernetes and core containerization technologies (containerization, networking, cgroups).</p></li><li><p>Proficiency in scripting (e.g., Bash) and at least one programming language (Python, Go, Java, Kotlin, C++, JavaScript, etc.).</p></li><li><p>Solid understanding of networking protocols (IP, TCP, UDP, HTTP, IPSec).</p></li><li><p>Strong grasp of DevSecOps practices, security principles, and cryptographic standards (AES, RSA, DH, TLS).</p></li><li><p>Expertise with Git and Infrastructure as Code tools (e.g., Terraform).</p></li><li><p>Hands-on experience with cloud platforms (AWS, Azure).</p></li><li><p>Skilled in implementing and managing observability solutions (metrics, logs, traces).</p></li><li><p>Hands-on experience with Fastlane or equivalent tools used for mobile build automation, app signing, provisioning profiles, certificate management, and automated publishing.</p></li><li><p>Experience working with Google Play Console, Apple App Store Connect, and Huawei AppGallery for automated application release cycles.</p></li></ul><br><p>Education</p><ul><li><p>Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent practical experience.</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong><u>Senior Data Engineer</u></strong> &nbsp; <ul> <li>12 month extendable contract </li><li>Abu Dhabi | Office Based </li></ul> <p>I am seeking an experienced <strong>Senior Data Engineer</strong> to join a growing data and analytics team responsible for building scalable, secure, and high-performance data platforms. The successful candidate will design, develop, and optimize modern data solutions that support advanced analytics, business intelligence, and machine learning initiatives.</p><br><br> <p>This role requires expertise in large-scale data engineering, cloud technologies, and modern data architectures, with a strong focus on reliability, performance, security, and data governance.&nbsp;</p><br><br> <strong><u>Key Responsibilities</u></strong> <ul> <li>Design, develop, and maintain scalable data pipelines and ETL/ELT processes to ingest, transform, and process large-scale datasets.&nbsp; </li><li>Build and optimize data processing frameworks using technologies such as Spark, Delta Lake, Kafka, and other modern big data platforms. </li><li>Develop and maintain data models, schemas, data lakes, lakehouses, and data warehouses that support analytics and reporting requirements. </li><li>Implement data quality, validation, monitoring, and observability frameworks to ensure data accuracy and reliability. </li><li>Design and support real-time and batch data processing solutions using streaming technologies and distributed systems.&nbsp; </li><li>Ensure compliance with security, privacy, access control, and regulatory requirements for sensitive data.&nbsp; </li><li>Collaborate closely with data scientists, analysts, architects, and business stakeholders to deliver high-value data products and services.&nbsp; </li><li>Manage and enhance distributed data platforms to ensure scalability, availability, and performance.&nbsp; </li><li>Contribute to data governance, master data management, metadata management, and data catalog initiatives.&nbsp; </li><li>Stay current with emerging technologies, industry best practices, and innovations in cloud and data engineering.&nbsp; </li></ul> <u><strong>Required Qualifications</strong></u> <ul> <li>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. </li><li>Minimum 5 years of experience designing, building, and operating enterprise-scale data platforms and pipelines.&nbsp; </li><li>Strong proficiency in SQL and Python.&nbsp; </li><li>Hands-on experience with Apache Spark, distributed data processing frameworks, workflow orchestration tools, and messaging platforms such as Kafka.&nbsp; </li><li>Experience with cloud-based data solutions on Azure, AWS, or Google Cloud Platform. </li><li>Strong knowledge of data warehousing, data lakes, lakehouse architectures, and data modeling methodologies.&nbsp; </li><li>Experience working with containerization and orchestration technologies such as Docker and Kubernetes.&nbsp; </li><li>Understanding of data governance, data quality, security, and privacy best practices.&nbsp; </li><li>Strong analytical, problem-solving, and communication skills.&nbsp; </li></ul> <br> #LI-MW1 <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong><u>Forward Deployed Engineer (Mandarin Speaking)</u></strong> <p><strong>Location:</strong> Abu Dhabi, UAE (On-site)<br> <strong>Employment Type:</strong> Full-Time<br> <strong>Language Requirement:</strong> Fluent Mandarin Chinese and English</p><br><br> <strong><u>About the Opportunity</u></strong> <p>Our client is a fast-growing technology company at the forefront of AI-powered platforms, digital transformation, and advanced software solutions. They are seeking a <strong>Forward Deployed Engineer</strong> to act as the technical bridge between customers and product engineering teams, ensuring successful deployment, integration, and adoption of cutting-edge technology solutions.</p><br><br> <p>This is a highly customer-facing role suited to an experienced engineer who enjoys solving complex problems, building trusted client relationships, and delivering real-world technical outcomes. The ideal candidate combines strong software engineering skills with excellent communication and stakeholder management capabilities.</p><br><br> <strong><u>Key Responsibilities</u></strong> <ul> <li>Work directly with enterprise customers to understand business requirements and translate them into technical solutions. </li><li>Design, deploy, configure, and support complex software platforms across cloud, hybrid, and on-premise environments. </li><li>Build proof of concepts, pilot projects, and custom integrations to address customer needs. </li><li>Act as the technical lead during customer engagements, workshops, demonstrations, and deployments. </li><li>Collaborate closely with product, engineering, and leadership teams to influence product development based on customer feedback. </li><li>Troubleshoot and resolve technical challenges across application, infrastructure, data, and integration layers. </li><li>Develop scripts, APIs, automation tools, and custom functionality to support customer workflows. </li><li>Deliver technical presentations and training sessions to both technical and non-technical stakeholders. </li><li>Support ongoing platform optimization, adoption, and customer success initiatives. </li></ul> <strong><u>Required Skills &amp; Experience</u></strong> <ul> <li>Bachelor's degree in Computer Science, Software Engineering, AI, or a related technical discipline. </li><li>4+ years of experience in one or more of the following: <ul> <li>Forward Deployed Engineering </li><li>Solutions Engineering </li><li>Solutions Architecture </li><li>Technical Consulting </li><li>Implementation Engineering </li><li>AI Engineering </li><li>Software Engineering </li></ul> </li><li>Strong software development experience with Python and modern development frameworks. </li><li>Experience working with APIs, microservices, system integrations, and cloud technologies. </li><li>Proven ability to engage directly with customers and executive stakeholders. </li><li>Excellent problem-solving and troubleshooting capabilities. </li><li>Comfortable operating in complex and fast-moving environments. </li></ul> <strong><u>Preferred Experience</u></strong> <p>Candidates with experience in any of the following areas will be highly regarded:</p><br><br> <ul> <li>Artificial Intelligence and Machine Learning solutions </li><li>Generative AI applications </li><li>Smart City technologies </li><li>Digital Twin platforms </li><li>GIS and geospatial technologies </li><li>IoT and connected infrastructure </li><li>Enterprise software deployments </li><li>Data platforms and analytics solutions </li></ul> <br> <br> #LI-MW1 <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Hands-On Engineering</strong></p><ul><li><p>Code alongside squads: DDD (Bounded Contexts, Aggregates, Domain Events), Hexagonal Architecture, SOLID, TDD</p></li><li><p>Ensure Twelve-Factor App compliance for all cloud-native services</p></li></ul><p><strong>Software Factory &amp; CI/CD</strong></p><ul><li><p>Define and enforce CI/CD pipelines, code review standards, trunk-based branching, static analysis (SonarQube), and API standards</p></li><li><p>Establish observability patterns: structured logging, distributed tracing, correlation IDs</p></li></ul><p><strong>Cloud Adoption</strong></p><ul><li><p>Drive cloud-native design patterns across squads: microservices, serverless, event-driven, container orchestration on AWS (primary) and Azure</p></li><li><p>Enforce infrastructure-as-code (Terraform), cloud security best practices (IAM, secrets management, network segmentation), and cost-aware architecture</p></li></ul><p><strong>Reusable Building Blocks</strong></p><ul><li><p>Design and code shared libraries, starter kits, and project archetypes embedding all best practices</p></li></ul><p><strong>Feature Team Enablement</strong></p><ul><li><p>Pair-program, conduct code reviews, run workshops on DDD / TDD / SOLID / Hexagonal / Twelve-Factor</p></li><li><p>Mentor developers to elevate overall engineering maturity</p></li></ul><p><strong>Developer Community</strong></p><ul><li><p>Animate Community of Practice: tech talks, coding dojos, hackathons</p></li><li><p>Maintain an engineering playbook with patterns, anti-patterns, and reference implementations</p></li></ul><p><strong>&nbsp;</strong></p><p><strong>Expected Deliverables</strong></p><ul><li><p>Engineering Playbook (DDD, TDD, SOLID, Hexagonal, Twelve-Factor, CI/CD, API standards)</p></li><li><p>Reusable building blocks, starter kits, and project archetypes</p></li><li><p>CI/CD pipeline templates for all service types</p></li><li><p>Architecture Decision Records (ADRs)</p></li><li><p>Monthly code quality and CoP activity reports</p></li><li><p>Technical debt register</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Technical — Must-Have</strong></p><ul><li><p>10+ years hands-on software development, building solutions from scratch</p></li><li><p>Expert in Java (Spring Boot), C# (.NET Core), Python, or Kotlin</p></li><li><p>Deep DDD, TDD/BDD, SOLID, Hexagonal / Clean Architecture, Twelve-Factor App</p></li><li><p>CI/CD tooling (Git, GitLab CI/CD); Docker, Kubernetes; Terraform / IaC</p></li><li><p>Cloud: AWS (EKS, MSK, Lambda, S3, RDS, IAM, CloudFormation, API Gateway, SQS/SNS); Azure (AKS, DevOps, Service Bus, Key Vault).</p></li><li><p>Event-driven architectures (Kafka, SQS/Service Bus/IBM MQ); API design (REST, gRPC, OpenAPI)</p></li><li><p>Security-by-design, observability, and code quality tooling (SonarQube, SAST/DAST)</p></li></ul><p><strong>Domain — Strongly Preferred</strong></p><ul><li><p>Capital Markets / Investment Banking: trade lifecycle, pricing, risk, market data</p></li><li><p>Corporate finance and securities services</p></li></ul><p><strong>Soft Skills</strong></p><ul><li><p>Influences through craft, not authority; proven mentor and community builder</p></li><li><p>Pragmatic: balances engineering excellence with delivery pressure</p></li><li><p>Strong technical writing: ADRs, playbooks, engineering guides</p></li></ul><p><strong>Education</strong></p><p>Bachelor’s degree in computer science or related field. Certifications are a plus but not a substitute for hands-on craft.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>Join Us at Miral Experiences</strong><br>At <strong>Miral Experiences</strong>, we don’t just create jobs — we create <strong>extraordinary moments</strong>. As part of the visionary <strong>Miral Group</strong>, we bring to life some of the world’s most iconic attractions, including <strong>Ferrari World Abu Dhabi</strong>, <strong>Warner Bros. World Abu Dhabi</strong>, <strong>Yas Waterworld</strong>, and <strong>SeaWorld Yas Island</strong>.<br>We are passionate about delivering <strong>unforgettable guest experiences</strong>&nbsp;and shaping the future of leisure and entertainment in the UAE. Our team is made up of innovators, doers, and dreamers who thrive in a dynamic, inclusive, and purpose-driven environment.<br>If you're looking to be part of something bigger — where your work directly contributes to <strong>memorable experiences for millions</strong>&nbsp;— then <strong>Miral Experiences is the place for you</strong>.<br>Are you passionate about building scalable data systems and ensuring data quality across platforms? Join our growing Data Engineering team as a <strong>Senior Data Operations Engineer</strong>&nbsp;and help us shape the future of data infrastructure and analytics.<br><strong>What You’ll Do</strong><br><ul><li>Build and maintain robust ETL/ELT pipelines for efficient data flow.<br></li><li>Monitor and troubleshoot data systems for performance and reliability.<br></li><li>Lead incident and problem management, ensuring SLA compliance.<br></li><li>Automate data processing and reporting workflows.<br></li><li>Collaborate with Data Engineers, Scientists, BI, and DevOps teams.<br></li><li>Document processes and communicate with business and IT stakeholders.<br></li></ul><strong>What You Bring</strong><br><ul><li><strong>4+ years</strong>&nbsp;in Data Engineering or Data Operations.<br></li><li>Strong SQL skills and experience with relational databases.<br></li><li>Hands-on with cloud platforms (Google Cloud, Azure, Microsoft Fabric).<br></li><li>Proficient in ETL tools and orchestration frameworks (Airflow, Prefect, etc.).<br></li><li>Familiar with big data tools (Hadoop, Spark) and programming (Python, Java, Scala).<br></li><li>DevOps knowledge (CI/CD, Docker, Kubernetes) is a plus.<br></li><li>Bonus: Experience with MLOps, Kafka, and data governance.<br></li></ul><strong>Education</strong><br>Bachelor’s in Computer Science, Engineering, or related field (Master’s is a plus).<br><strong>Ready to Make an Impact?</strong><br>If you're passionate about people, service, and creating a workplace where colleagues feel supported and valued — we’d love to hear from you. <strong>Apply now</strong>&nbsp;and take the next step in your career with <strong>Miral Experiences</strong>&nbsp;— where your work helps shape unforgettable moments every day.<br><br>Miral Experiences </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> · Support multiple Data platforms such as Oracle or PostgreSQL or MongoDB or MSSQL server. · Support Infrastructure and application DevOps teams with changes and releases. Build and setup databases as per application requirement. (Both on-premise and on cloud). · Understand Solution design documents and work with application teams on configuration setup. · Participate in all technical tasks defined for the team as and when appropriate, ensure completion. · Be familiar with product security vulnerability management. Plan and manage their impact and remediation, communicating to a global audience. · Be aware of the ongoing infrastructure issues and vigilant to avoid / minimize downtime of services. · Understand business, environments, shared services to prioritize incidents. · Understand Infrastructure scope and controls for services under Group Data. · Identify operational risks and contribute to mitigate the same. · Ensure deliverables are met on time and to high levels of quality. · Identify service delivery issues (SLA Slippages, Quality etc.), and implement corrective actions. · As part of wider pool of Infra Engineers, identify where you can contribute to automation of daily tasks and ready to take up MW/Linux tasks as well.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p> Working knowledge of the one or more DB platforms such as Oracle/ PG/ MongoDB /MSSQL server. · Hands on Experience in performing minor and major version upgrades of databases. · Mandate :Experience working with DevOps tools such as GitHub, Confluence, and Jira. Understanding of Puppet/Ansible/Jenkins for end point management and application deployment across a large infrastructure · Strong knowledge on Vulnerability management and remediation actions to be taken. Experience in installation and configuration of databases software. · Experience in planning and performing DR drills and Role swaps. · Experience with replication, HA technologies. · Should possess good Unix/ Linux administration skills. · Should be flexible work in weekend change support rota. · Basic knowledge of shell scripting or Python scripting. · Knowledge of cloud platforms such as Google cloud is also beneficial. · Understanding of infrastructure as code, understand a DevOps Continuous Integration / Continuous Delivery pipeline, and build automated test scripts (for infrastructure products and upgrades), and build automation interfaces between systems. · Process knowledge about Incident / Change / problem management tools and procedures. Setup automation(s) to take out waste. · Ability to communicate effectively at all levels through a variety of mediums </p><p></p></section>

<p><h4>About the role</h4> <p>Our client, a leader in the fintech industry, is seeking a RAS issuing solutions analyst / associate to join their team. In this role, you will support the product lead in managing and scaling risk and identity solutions across the CEMEA region. The ideal candidate will have strong analytics capabilities, payments domain knowledge, and execution focus, enabling successful portfolio tracking, client initiatives, and product adoption.</p> <h4>About the requirements</h4> <ul> <li>Analyze issuer performance metrics including authorization rates, fraud rates, approval uplift, and false positive rates to support optimization of risk solutions</li> <li>Develop dashboards, trackers, and client-ready reports for pilot programs, performance reviews, and value realization</li> <li>Support execution of key product initiatives including VAA, VRM, and VAAI, with focus on use case analysis and KPI tracking</li> <li>Assist in managing pilots and regional programs by tracking deliverables, timelines, and performance outcomes</li> <li>Support identification of cross-sell and upsell opportunities through data-driven insights and portfolio analysis</li> <li>Contribute to commercialization and adoption of risk and authentication solutions</li> <li>Coordinate with internal stakeholders including VCA, sales, client services, and regional teams to ensure alignment on deliverables, data requirements, and timelines</li> </ul> <h4>About you</h4> <ul> <li>4-6 years of experience in payments, card portfolio analytics, fintech, or consulting</li> <li>Strong understanding of the card transaction lifecycle (authorization, fraud, and decisioning processes)</li> <li>Experience working with key payments and risk KPIs such as approval rates, fraud rates, and false positives</li> <li>Strong data and analytical skills (Excel, SQL, Python; experience with BI tools preferred)</li> <li>Structured, detail-oriented, and execution-focused mindset</li> </ul> <h4>Job scams notice</h4> <p>Your safety and data security matter to us.</p> <p>Manpower Middle East is committed to a safe and transparent hiring process. We will never request payment, banking details, or sensitive personal information as part of our recruitment. If you receive suspicious outreach claiming to be from us, please disregard it and report it to the appropriate authorities.</p> <h4>About manpowergroup</h4> <p>ManpowerGroup® (NYSE: MAN) is a global leader in workforce solutions, helping organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing talent. Through our brands—Manpower, Experis, and Talent Solutions—we deliver innovative workforce solutions across more than 75 countries, connecting millions of people to meaningful work.</p></p><p></p>

Responsibilities:Technical and thought leadership, including optimization of process and systems. Support Pre-sales, Sales, and Business Development of new and existing services. Work with internal peers and external stakeholders to achieve effective and sustainable implementation and delivery of cyber defense services and associated service elements. Support the Service Transition process; Work with peers to effectively transition customers and infrastructure into operations. Work pro-actively and collaboratively with peers seeking mutually beneficial outcomes. Support rapid and effective detection, mitigation, containment and response to cyber security incidents leveraging integrations with, and capabilities of, Infrastructure Platforms, Tools, Assets under Management and non-Managed Customer Controls. Creation, optimization and documentation of processes, procedures and workflow; Tracking and reporting of SLAs, KPIs and OLAs. Initiate, support and manage incidents, problems, issues, risks and compliance activities; 24x7 on-call for critical or urgent activities as required.<br>Qualifications & Skills:Degree in Computer Science, Information Systems, Electrical Engineering or a closely related degree. Depth of Skills in at least three of the following areas: Security Controls Operations, Cyber Incident Response, Cyber Security Detection, Managed Services Integration, Cyber Threat Intelligence, Threat Hunting.7+ yrs experience in PAN Cortex XSOAR (Demisto SOAR). Working Knowledge of Cyber Threats, Threat Actors, TTPs and how to mitigate threats in different contexts (on-prem, cloud, distributed). CISSP, CISM, CISA (or equivalent experience). ITIL Accreditation (or relevant experience). Experience in integrating various technologies with SOAR platform. Experience in the design, implementation, maintenance and optimization of Playbooks for detection, protection, containment and mitigation of Cyber security related threats and incidents. Strong scripting and integration skills, in languages such as Python, GO, Kusto/KQL, Power Shell. Expert skills in Information Security Technologies (e.g. SIEM, NGFW, CTI, WAF) as well as IT systems, including Office 365, Service Management Tools, and the interfaces provided by IT & security systems that can be used for integration, automation and orchestration. Solid experience and understanding of Managed Security Service delivery, Cyber Security concepts and standards; Demonstrated experience in effectively managing and mitigating Security Events, Threat, Attacks and Vulnerabilities. Customer and Team-focused attitude. Outstanding organizational skills: Ability to lead and motivate skilled security professionals. Active listener; Excellent communication, presentation and training skills. Ability to interface with, and influence, Pre-Sales and Sales teams, to achieve agreed business outcomes. Flexible work approach, based on the job requirements. Strong interpersonal skills with the ability to collaborate well with others and reconcile differences among resources/departments.<br>Benefits:Health insurance with one of the leading global providers for medical insurance. Career progression and growth through challenging projects and work. Employee engagement and wellness campaigns activities throughout the year. Excellent learning and development opportunities. Annual flight tickets to home country. Inclusive and diverse working environment. Flexible/Hybrid working environment. Open door policy.

We are seeking a visionary and hands-on Lead - AI Engineering, Automation & Digital Transformation to drive enterprise-wide AI adoption, intelligent automation, and digital transformation initiatives from strategy through execution. This role demands a seasoned leader with deep expertise in AI/ML engineering, agentic AI, and process automation, with proven experience in transforming business operations and managing high-performing teams. The ideal candidate will work closely with CxO’s office, GM IT and Senior Directors and business teams to embed AI-driven decision-making, operational efficiency, and innovation across the organization.<br><br>Description<br><br> Lead and manage a cross-functional team of AI engineers, automation developers, and digital transformation specialists, fostering technical excellence and collaboration. Architect, implement, and scale AI/ML solutions and agentic AI platforms using Azure Open AI, AWS Bedrock, Databricks, and modern LLM frameworks. Design and deploy intelligent automation solutions (RPA, workflow orchestration, document intelligence) using platforms such as Power Automate, UiPath, and Azure AI services. Build, fine-tune, and operationalize machine learning and Gen AI models - including forecasting, recommendation, NLP, and computer vision use cases - with robust MLOps practices. Drive the digital transformation roadmap: identify high-impact use cases, build business cases, and deliver measurable ROI through AI and automation initiatives. Establish and enforce Responsible AI and governance practices including model documentation, bias monitoring, explainability, security, and access controls. Collaborate with stakeholders to translate business needs into AI-powered solutions, reengineering processes end-to-end rather than automating inefficiencies. Oversee integration of AI agents and copilots into enterprise systems (ERP, CRM, BI platforms), ensuring multi-level data security and governance. Lead automation and AI use cases (e.g., chatbots, AI agents, predictive models, intelligent document processing) to reduce operational effort and cost. Present insights, use-case pipelines, and strategic recommendations to executive leadership including CEO, Chairman, and Directors. <br><br>Qualifications, Experience, & Skills<br><br>Required Experience & Skills:<br><br> 6+ years of hands-on experience across AI/ML engineering, automation, and digital transformation. Proven leadership in managing AI/automation teams and delivering enterprise-scale solutions. Expertise in Python, LLM frameworks (Lang Chain/Lang Graph), Azure Open AI, AWS Bedrock, and API/microservices integration. Strong proficiency in RPA and workflow platforms (Power Automate, UiPath), Azure AI services, and MLOps tooling. Deep understanding of Gen AI, agentic AI architectures, prompt engineering, and model lifecycle management. Strong communication, stakeholder engagement, and program management skills. Experience in use-case discovery, business-case development, and delivering high-impact, ROI-driven solutions. Demonstrated success in scaling AI and automation use cases for operational efficiency, cost reduction, and forecasting. <br><br>Preferred Qualifications<br><br> Bachelor’s or master’s degree in computer science, AI/Data Science, Engineering, or related field. Certifications in Azure AI or AWS ML; RPA (UiPath/Power Platform) certifications are a plus. Experience in FMCG/Food manufacturing industries

Key Responsibilities<br><br>Lead the deployment, administration, and optimization of enterprise Kubernetes environments running on Nutanix infrastructure, ensuring resilience, scalability, and operational excellence. Design and build infrastructure solutions that support advanced AI and machine learning workloads, including GPU-enabled environments, model deployment frameworks, and large-scale data processing pipelines. Develop and maintain automated infrastructure provisioning and configuration management using tools such as Terraform, Ansible, Helm, and Git Ops frameworks. Establish and enhance CI/CD pipelines to streamline the deployment of AI services, containerized applications, and machine learning workflows. Drive operational maturity through the implementation of monitoring, logging, tracing, and alerting solutions utilizing platforms such as Prometheus, Grafana, ELK, and Open Telemetry. Implement and maintain security controls including RBAC, container image governance, secrets management, network segmentation, and workload protection aligned with enterprise compliance standards. Continuously optimize cluster performance, storage utilization, networking efficiency, and compute resource allocation across CPU and GPU workloads. Work closely with AI engineers, platform architects, and development teams to onboard applications, improve user experience, and establish operational best practices. Define, implement, and validate backup, recovery, and disaster recovery procedures for Kubernetes platforms and associated data services. <br><br>Required Qualifications<br><br>Minimum 5 years of experience in Dev Ops, Platform Engineering, Cloud Operations, or Site Reliability Engineering, including at least 3 years of hands-on Kubernetes administration in production. Strong experience working with Nutanix technologies including AHV, Prism, Karbon, Files, and Objects within enterprise environments. Demonstrated experience supporting AI/ML platforms and tools such as Kubeflow, MLflow, KServe, Ray, or similar ecosystems. Advanced knowledge of Infrastructure as Code and platform automation using Terraform, Ansible, Helm, and Git Ops methodologies. Proficiency in scripting and automation using Python, Bash, Go, or equivalent languages. Experience managing GPU-enabled Kubernetes environments and NVIDIA accelerator technologies. Sound understanding of Kubernetes networking, storage, security, and policy enforcement frameworks. Hands-on experience with CI/CD tools such as Git Lab CI, Git Hub Actions, Jenkins, or similar platforms. Experience implementing and managing observability and monitoring solutions in cloud-native environments. Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent practical experience. <br><br>Preferred Qualifications<br><br>Nutanix certifications such as NCP-MCI, NCP-DS, or related credentials. CNCF certifications including CKA, CKAD, or CKS. Experience managing multiple Kubernetes clusters across hybrid or enterprise environments using solutions such as Rancher, Open Shift, or Anthos. Strong understanding of MLOps principles, model lifecycle management, and machine learning deployment frameworks. Exposure to regulated industries and compliance-driven environments, including financial services, healthcare, or government sectors. Familiarity with modern governance and security standards such as SOC 2, HIPAA, GDPR, or ISO 27001. <br><br>Senior Dev Ops Engineer in Abu Dhabi, United Arab Emirates