DevOps Engineer Jobs in UAE

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Deployment Engineer (Freelance)</p><p><br></p><p>Location: Abu Dhabi, Dubai, Fujairah, UAE (Hybrid)</p><p>Contract Duration: Initial 6-Month Contract with possibility of extension</p><p>Employment Type: Freelance / Independent Contractor</p><p><br></p><p>About the Role</p><p>We are looking for an experienced Deployment Engineer to join our team on an initial 6-month freelance contract. This is a hybrid role, offering a combination of onsite and remote work.</p><p>As a Deployment Engineer, you will be responsible for planning, coordinating, and executing software deployments across development, testing, and production environments. You will work closely with cross-functional teams to ensure smooth releases, system stability, and operational excellence.</p><p>This role offers the potential for extension beyond the initial contract period, based on project requirements and performance.</p><p><br></p><p>Key Responsibilities</p><ul><li>Plan, coordinate, and execute application and software deployments across multiple environments.</li><li>Manage release schedules and deployment activities to ensure seamless delivery.</li><li>Collaborate with Development, QA, Infrastructure, and Operations teams throughout the release lifecycle.</li><li>Automate deployment processes and contribute to CI/CD pipeline improvements.</li><li>Monitor deployments and troubleshoot issues during and after releases.</li><li>Support rollback strategies and disaster recovery procedures when required.</li><li>Maintain deployment documentation, release notes, and operational runbooks.</li><li>Ensure compliance with security, governance, and change management standards.</li><li>Identify opportunities to improve deployment efficiency, reliability, and performance.</li><li>Participate in release planning, risk assessment, and post-deployment reviews.</li></ul><p><br></p><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Required Skills &amp; Experience</p><ul><li>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.</li><li>4+ years of experience in Deployment Engineering, Release Management, DevOps, or System Administration.</li><li>Strong understanding of software deployment and release management processes.</li><li>Experience with CI/CD tools such as Azure DevOps, Jenkins, GitHub Actions, GitLab CI/CD,</li><li>Hands-on experience with Git and version control systems.</li><li>Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.</li><li>Experience with Docker and Kubernetes.</li><li>Knowledge of Linux and/or Windows server environments.</li><li>Scripting experience with PowerShell, Bash, or Python.</li><li>Strong troubleshooting and problem-solving skills.</li><li>Excellent communication and stakeholder management skills.</li></ul><p><br></p><p>Preferred Qualifications</p><ul><li>Experience in enterprise-scale environments.</li><li>Familiarity with Infrastructure as Code tools such as Terraform or Ansible.</li><li>Experience with monitoring and observability platforms.</li><li>Understanding of ITIL and change management processes.</li><li>Experience supporting highly available production environments.</li><li>Previous experience working within the UAE or GCC region.</li></ul><p><br></p><p>Apply Now</p><p>If you are passionate about delivering reliable software releases and enjoy working in collaborative, fast-paced environments, we would love to hear from you.</p></div>

<strong>Job Title: </strong>DevOps Specialist<br><br><strong>Job Code: </strong>JPC - 6423<br><br><strong>Location</strong>: Abu Dhabi<br><br><strong>Experience: </strong>0-3 year<br><br><strong>Education: </strong>Bachelor s Degree<br><br><strong>Industry: </strong>Software &amp; Digital Solutions<br><br><strong>Language: </strong>English<br><br><strong>Job Description<br><br></strong><ul><li>Support cloud-native application deployment, operations, and automation.</li><li>Manage CI/CD pipelines, Docker, and Kubernetes environments.</li><li>Develop and maintain Java applications following coding best practices.</li><li>Troubleshoot software, infrastructure, and application issues.</li><li>Write unit tests and maintain technical documentation.</li><li>Collaborate with product and business teams to deliver technical solutions.</li><li>Continuously learn and adopt new technologies and methodologies.</li></ul>

<p>Business Analysis amp; Requirements Management Airline eCommerce / Travel / Digital Product experience Strong understanding of airline booking flows, customer servicing and digital customer journeys Agile delivery, user stories, functional requirements and acceptance criteria Business process modelling, workflow analysis and stakeholder management Knowledge of airline operations and IRROPS (flight delays, cancellations, rebooking and disruption management) Experience with Azure DevOps or similar requirement and defect </p><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's degree in Business Administration, Information Technology, or a related field; advanced degrees are a plus.</p></li><li><p>5 years of experience in a Business Analyst role, preferably in a fast-paced, agile environment.</p><br></li></ul>

<strong>Job Description: Quantitative Developer, Systematic Equities<br><br></strong><em>Please direct all resume submissions to </em><em>QuantTalentEUR@mlp.com</em><em> and reference REQ-26457 in the subject.<br><br></em>Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns.<br><br><strong>Job Description<br><br></strong>We are seeking a highly skilled and entrepreneurial Lead Software Engineer to architect, build, and scale the core trading infrastructure for a newly formed quantitative trading pod. You will lead the design and deployment of systems that support systematic strategies operating across global markets and time zones.<br><br>This is a hands-on leadership role at the intersection of technology, research, and trading - you'll collaborate directly with quantitative researchers and the Senior Portfolio Manager to turn ideas into production-ready strategies.<br><br>The pod is led by a Senior Portfolio Manager with 15+ years of experience and a proven track record in alpha generation, strategy development, and risk management at top-tier quant firms. This is a unique opportunity to own the technology stack from day one, influence strategic direction, and help shape a high-performance team in a collaborative and intellectually rigorous environment.<br><br><strong>Location<br><br></strong>Dubai<br><br><strong>Principal Responsibilities<br><br></strong><ul><li>Technical Leadership &amp; Architecture</li><ul><li>Design and maintain the trading system architecture, including components for data ingestion, signal generation, backtesting, execution, and risk management</li><li>Make decisions on technology stack, performance optimization, and scalability</li><li>Ensure the system supports reasonable latency, high-throughput, and fault-tolerant trading</li></ul><li>Team Leadership &amp; Collaboration</li><ul><li>Help recruit and Lead a small team of developers (sometimes quants as well) within the pod</li><li>Work closely with the quant researchers and traders to understand strategy requirements and translate them into code</li><li>Prioritize tasks and mentor junior developers or quant devs</li></ul><li>Strategy Implementation Support</li><ul><li>Build and maintain research infrastructure (e.g., backtesting frameworks, simulation environments, feature stores)</li><li>Translate researchers' prototypes (e.g., in Python) into production­ grade code, often in C++, or C# for latency-sensitive components</li></ul><li>Execution &amp; Infrastructure</li><ul><li>Optimize and support order execution systems, integrating with various exchanges or broker APIs</li><li>Implement real-time risk checks, monitoring, logging, and alerting tools</li></ul><li>Data Engineering &amp; Management</li><ul><li>Oversee the pipeline for ingesting, cleaning, and storing data (market, alternative, internal)</li><li>Ensure data integrity and low-latency access for trading and research</li></ul><li>DevOps &amp; Reliability</li><ul><li>Often take responsibility for deployment pipelines, version control, and production support</li><li>Ensure high system availability and rapid recovery in case of failures</li></ul><li>Security &amp; Compliance</li><ul><li>Make sure that the pod's infrastructure adheres to firm-wide compliance and security standards</li><li>Ensure rigorous version control, code quality, and documentation standards</li><li>Conduct thorough testing and debugging of software components, resolving any issues or discrepancies.<br></li></ul></ul><strong>Required Technical Skills<br><br></strong><ul><li>1st class Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field</li><li>Fluency in C++ or C# for performance-critical systems</li><li>Proficiency in Python, especially for scripting, research integration, and data tools</li><li>Solid understanding of algorithms, data structures, and multithreaded/concurrent programming</li><li>Strong knowledge of SQL and modern database design (e.g., column stores, time-series DBs)</li><li>Familiarity with software engineering best practices: version control (Git), unit testing, CI/CD, logging, monitoring, etc.</li><li>Strong troubleshooting skills across distributed systems<br><br></li></ul><strong>Required Experience<br><br></strong><ul><li>3+ years of hands-on experience designing, building, and maintaining high-performance trading systems, ideally in a systematic equities or quant trading environment</li><li>Proven experience in:</li><ul><li>Handling large-scale market data (e.g., normalization, feed handling, replay systems)</li><li>Order routing and exchange connectivity, including FIX protocols and direct market access (DMA)</li><li>Building event-driven architectures and real-time systems with tight SLAs</li><li>Identifying and resolving performance bottlenecks, data inconsistencies, or system instability in production environments<br></li></ul></ul><strong>Highly Valued Relevant Attributes<br><br></strong><ul><li>Excellent communication skills - able to interface directly with quant researchers and traders, translate requirements, and explain technical decisions</li><li>Demonstrated initiative and ownership: able to drive projects independently, while collaborating effectively in a team setting</li><li>Comfortable in fast-paced, iterative environments where priorities can shift quickly based on market conditions or research insights</li></ul>

<p><b>Job Summary</b> <br> We are seeking a skilled Automation QA Specialist to join our Quality Assurance team. The ideal candidate will have hands-on experience in designing, developing, and maintaining automated test frameworks and test scripts. You will work closely with developers, product managers, and QA engineers to ensure the delivery of high-quality software products. <br> <br> <b>Responsibilities</b> <br> </p><ul><li>Design, develop, and maintain automated test scripts for web applications.</li><li>Build and enhance automation frameworks using modern testing tools.</li><li>Execute functional, regression, integration, and end-to-end automated test suites.</li><li>Identify, document, and track software defects, and work closely with development teams to resolve them.</li><li>Collaborate with cross-functional teams to understand business and technical requirements.</li><li>Integrate automated test suites into CI/CD pipelines.</li><li>Analyze test results and prepare detailed test reports.</li><li>Continuously improve automation coverage, test reliability, and execution efficiency.</li><li>Participate in code reviews and contribute to QA best practices.</li></ul><p><br> <br> <b>Required Skills Qualifications</b> <br> </p><ul><li>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.</li><li>2-5 years of experience in software testing and test automation.</li><li>Playwright</li><li>Selenium WebDriver</li><li>Jest</li><li>Proficiency in JavaScript and TypeScript.</li><li>Experience with API testing using tools such as Postman or REST Assured is an advantage.</li><li>Knowledge of version control systems such as Git.</li><li>Experience with CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI, Azure DevOps) is preferred.</li></ul><p><br> <br> <b>Preferred Skills</b> <br> </p><ul><li>Experience with cross-browser and cross-platform testing.</li><li>Familiarity with performance or load testing tools is a plus.</li><li>Knowledge of SQL and database validation.</li><li>Exposure to cloud-based testing platforms is an advantage.</li></ul><p><br> <br> <b>Personal Attributes</b> <br> </p><ul><li>Strong attention to detail.</li><li>Excellent communication and collaboration skills.</li><li>Self-motivated and proactive.</li><li>Ability to work independently and as part of a team.</li><li>Continuous learning mindset with a passion for quality.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.</li><li>2-5 years of experience in software testing and test automation.</li><li>Playwright</li><li>Selenium WebDriver</li><li>Jest</li><li>Proficiency in JavaScript and TypeScript.</li><li>Experience with API testing using tools such as Postman or REST Assured is an advantage.</li><li>Knowledge of version control systems such as Git.</li><li>Experience with CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI, Azure DevOps) is preferred.</li></ul><ul><li>Experience with cross-browser and cross-platform testing.</li><li>Familiarity with performance or load testing tools is a plus.</li><li>Knowledge of SQL and database validation.</li><li>Exposure to cloud-based testing platforms is an advantage.</li></ul><ul><li>Strong attention to detail.</li><li>Excellent communication and collaboration skills.</li><li>Self-motivated and proactive.</li><li>Ability to work independently and as part of a team.</li><li>Continuous learning mindset with a passion for quality.</li></ul>

<p><strong>About the Role</strong> </p><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></p><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>Company Overview</strong></p><p>Pay10 is transforming the way businesses and individuals engage with digital payments. As a rapidly growing fintech company, we’re building seamless, secure, and scalable solutions that power global commerce. Our mission is to simplify payments through innovation and technology, helping our partners and users transact with confidence across borders. At Pay10, you’ll be part of a collaborative and ambitious team driving meaningful impact in the future of finance.</p><p><br></p><p><strong>Job Overview:</strong></p><p>The successful candidate will play a critical role in ensuring our infrastructure and applications are stable, scalable, and secure. This role requires hands-on experience with AWS, server management, troubleshooting, security, and database administration.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p><strong>Infrastructure Management:</strong></p><ul><li>Design, deploy, and manage scalable, secure, and resilient cloud infrastructure on AWS.</li><li>Automate the provisioning and management of cloud infrastructure using Infrastructure as Code (IaC) tools like Terraform or CloudFormation.</li><li>Monitor system performance, identify potential bottlenecks, and implement solutions to optimize efficiency.</li></ul><p><strong>Server Management:</strong></p><ul><li>Oversee the configuration, maintenance, and management of servers to ensure optimal performance and reliability.</li><li>Implement and maintain CI/CD pipelines to automate application deployment processes.</li><li>Ensure high availability and disaster recovery of critical systems and services.</li></ul><p><strong>Troubleshooting and Support:</strong></p><ul><li>Provide ongoing support for production systems, identifying and resolving technical issues promptly.</li><li>Collaborate with development and operations teams to resolve application and infrastructure-related issues.</li><li>Conduct root cause analysis for production errors and implement preventive measures.</li></ul><p><strong>Security Management:</strong></p><ul><li>Implement and manage security best practices, including network security, encryption, and vulnerability management.</li><li>Monitor and respond to security incidents, ensuring data protection and compliance with industry standards.</li><li>Conduct regular security audits and risk assessments to identify potential vulnerabilities.</li></ul><p><strong>Database Administration:</strong></p><ul><li>Manage database systems (e.g., MySQL, PostgreSQL, MongoDB) to ensure high availability, performance, and security.</li><li>Perform database backups, recovery, and optimization tasks.</li><li>Collaborate with developers to optimize database queries and performance.</li></ul><p><br></p><p><strong>Qualifications:</strong></p><ul><li>Bachelor’s degree in Computer Science, Information Technology, or a related field.</li><li>Minimum of 5 years of experience in a DevOps role, preferably within the fintech/payments/internet banking sector.</li><li>Hands-on experience with AWS services such as EC2, S3, RDS, Lambda, and VPC.</li><li>Strong experience with server management, automation, and CI/CD tools (e.g., Jenkins, GitLab CI).</li><li>Proficient in scripting languages such as Bash, Python, or PowerShell.</li><li>Experience with containerization technologies (Docker, Kubernetes).</li><li>In-depth knowledge of security best practices and tools.</li><li>Experience with database administration, including performance tuning and optimization.</li><li>Strong troubleshooting and problem-solving skills.</li><li>Excellent communication and collaboration skills.</li></ul><p><br></p><p><strong>Preferred Qualifications:</strong></p><ul><li>AWS Certified DevOps Engineer or other relevant certifications.</li><li>Experience with microservices architecture.</li><li>Familiarity with regulatory requirements in the fintech/payments industry.</li></ul><p><br></p>

<p>We’re looking for a world-class Software Engineer with 8+ years of strong, hands-on experience to join our team in Dubai.</p><p><br></p><p>This is not a role for someone who simply knows frameworks. We want an engineer who understands software engineering deeply, thinks clearly, solves difficult problems, takes ownership, and can build reliable, maintainable systems.</p><p><br></p><p>What we’re looking for</p><p><br></p><p>8+ years of serious, hands-on software engineering experience</p><p>Exceptionally strong problem-solving and analytical ability</p><p>Proactive and energetic, someone who sees an issue, investigates it, and fixes it properly</p><p>Excellent software engineering fundamentals</p><p>Strong understanding of system design, architecture, APIs, performance, scalability, testing, debugging, security, and clean code</p><p>Able to work independently and make sound technical decisions</p><p>Strong ownership mentality and a great attitude</p><p>Comfortable working closely with the business and understanding real-world requirements</p><p>Strong technical experience with</p><p><br></p><p>JavaScript / TypeScript</p><p>Node.js</p><p>Next.js</p><p>NestJS</p><p>Python</p><p>PostgreSQL</p><p>MySQL</p><p>REST APIs and modern backend architecture</p><p>Database design, indexing, query optimization, and performance</p><p>Git and professional development workflows</p><p>Automated testing and production debugging</p><p>Modern software development practices</p><p>You should be technically curious and stay current with modern frameworks, tools, AI-assisted development, infrastructure, and emerging technologies.</p><p><br></p><p>Some practical DevOps knowledge is a plus for example Docker, CI/CD, cloud deployments, Linux, monitoring, and troubleshooting production environments but this is fundamentally a software engineering role, not a DevOps position.</p><p><br></p><p>AI is a tool and not a replacement for engineering ability</p><p><br></p><p>We actively use AI and expect our engineers to know how to leverage it intelligently to move faster.</p><p><br></p><p>However, you must have strong engineering fundamentals and be able to code, debug, architect, and solve problems without AI.</p><p><br></p><p>We are not looking for someone who simply copies AI-generated code without understanding it.</p><p><br></p><p>You should be able to challenge AI output, identify poor architecture, catch bugs, improve generated code, and recognize when a proposed solution is wrong.</p><p><br></p><p>AI should amplify your engineering ability , not replace it.</p><p><br></p><p>The person we want</p><p><br></p><p>You’re smart, curious, active, resourceful, and technically strong.</p><p><br></p><p>You don’t wait around when something is broken.</p><p><br></p><p>You investigate it, understand the root cause, and fix it properly.</p><p><br></p><p>You care about the quality, performance, reliability, and maintainability of what you build.</p><p><br></p><p>You enjoy learning new technologies, but you understand that strong software engineering fundamentals matter more than simply knowing the latest framework.</p><p><br></p><p> Location: Dubai, UAE</p><p><br></p><p> Work setup: Full-time, on-site in our Business Bay office</p><p><br></p><p>⚡ Availability: Ready to join immediately</p><p><br></p><ul><li>If you’re a genuinely strong software engineer who enjoys difficult problems, takes ownership, and understands the difference between writing code and engineering software, we’d like to hear from you.</li></ul>

<p><strong>Job Title:</strong> Solution Architect</p><p><strong>Company:</strong> Star Services LLC</p><p><strong>Department:</strong> TSS</p><p><strong>Location:</strong> Abu Dhabi, UAE</p><p><strong>Workplace Type:</strong> On-site</p><p><strong>Employment Type:</strong> Full-time</p><p><strong>Seniority Level:</strong> Mid-Senior level / Director (depending on internal grading)</p><p><strong>Job Function:</strong> Information Technology</p><p><strong>Industries:</strong> IT Services and IT Consulting, Technology, Software Development</p><p>Job Description</p><p>We are looking for an experienced Solution Architect to design and deliver secure, scalable, and cost-effective technology solutions aligned with business objectives and enterprise architecture standards.</p><p>The successful candidate will work closely with business stakeholders, development teams, infrastructure, cybersecurity, DevOps, and integration teams to translate business requirements into comprehensive technical architecture and implementation strategies.</p><p>Key Responsibilities</p><ul><li>Translate business requirements into end-to-end technical solution architectures.</li><li>Prepare High-Level Designs (HLD), Solution Design Documents (SDD), integration designs, and technical specifications.</li><li>Design application, API, database, cloud, infrastructure, security, and integration architectures.</li><li>Ensure solutions meet scalability, security, performance, availability, and compliance requirements.</li><li>Define integration approaches using REST APIs, middleware, ESB, message queues, and API gateways.</li><li>Support cloud, hybrid, and on-premises architecture implementations.</li><li>Provide technical leadership and architectural guidance to development and infrastructure teams.</li><li>Review existing systems and recommend modernization and optimization strategies.</li><li>Evaluate technology platforms, vendors, tools, and architectural solutions.</li><li>Ensure compliance with enterprise standards, ISO requirements, UAE regulations, and security policies.</li><li>Participate in architecture governance, technical reviews, and project planning.</li><li>Maintain architecture documentation, technical risks, dependencies, and design decisions.</li></ul><p>Required Qualifications &amp; Experience</p><ul><li>Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related discipline.</li><li>Minimum 10 years of overall IT experience.</li><li>At least 3 years of experience in Solution Architecture or Technical Architecture roles.</li><li>Strong understanding of enterprise applications, software design, APIs, databases, cloud infrastructure, and cybersecurity.</li><li>Experience in preparing HLDs, SDDs, architecture diagrams, and technical proposals.</li><li>Knowledge of microservices, REST APIs, event-driven architecture, API management, and enterprise integrations.</li><li>Experience with Azure, AWS, or Google Cloud environments.</li><li>Strong understanding of DevOps, CI/CD, monitoring, logging, and system availability.</li><li>Excellent stakeholder management, communication, and technical leadership skills.</li></ul><p>Preferred Technical Skills</p><ul><li>Microsoft .NET</li><li>Angular, React, or other modern frontend frameworks</li><li>SQL Server, Oracle, and NoSQL databases</li><li>Microsoft Azure, Docker, Kubernetes, and serverless technologies</li><li>Kafka, RabbitMQ, ESB, middleware, and API gateways</li><li>OAuth2, OpenID Connect, SSO, IAM, MFA, and encryption</li><li>SharePoint, Power Platform, ServiceNow, CRM, and ERP platforms</li><li>ELK, Dynatrace, and Application Insights</li><li>AI, Data Analytics, and Automation platforms</li></ul><p>Preferred Certifications</p><ul><li>TOGAF</li><li>Microsoft Azure Solutions Architect</li><li>AWS Solutions Architect or equivalent cloud architecture certifications</li></ul><p>Key Competencies</p><ul><li>Enterprise architecture and strategic thinking</li><li>Solution design and technical problem-solving</li><li>Security-first architecture approach</li><li>Technical documentation and presentation</li><li>Stakeholder and vendor management</li><li>Leadership and decision-making</li></ul><p><br></p>

<p><strong>Who We Are</strong></p><p>Our client is a quantitative hedge fund focused on systematic investment strategies and data-driven research. Technology plays a central role in the business, with infrastructure, data platforms, and research systems forming the foundation on which researchers and developers build, test, and deploy investment strategies.</p><p><br></p><p>You will work directly alongside quantitative researchers and engineers to support and modernise the firm's research and production platforms.</p><p><br></p><p><strong><em>We welcome applicants from across the globe. Relocation support will be provided for suitable candidates.</em></strong></p><p><br></p><p><strong>We Are Seeking: Quantitative Platform / Infrastructure Engineer</strong></p><p>This is a hands-on engineering role focused on infrastructure, production systems, databases, and data platforms.</p><p><br></p><p>The successful candidate will take ownership of business-critical systems while helping modernise the platform through improved automation, deployment practices, containerisation, and platform tooling.</p><p><br></p><p><strong><em>Experience supporting quantitative research platforms, data-intensive environments, trading firms, hedge funds, or other performance-sensitive environments is highly valued.</em></strong></p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Maintain and improve Linux-based production infrastructure</li><li>Manage system reliability, performance, monitoring, security, and upgrades</li><li>Troubleshoot issues across infrastructure, applications, databases, and data pipelines</li><li>Operate and optimise databases including MariaDB/MS SQL, MongoDB, and Redis</li><li>Support Airflow workflows and Python-based data processing jobs</li><li>Improve CI/CD processes, deployment workflows, and platform automation</li><li>Contribute to containerisation initiatives and platform modernisation</li><li>Support research environments and distributed compute capabilities</li></ul><p><br></p><p><strong>Requirements</strong></p><ul><li>Strong Linux systems engineering experience (Red Hat or similar)</li><li>Strong Python development and automation skills</li><li>Good understanding of relational databases and SQL</li><li>Experience troubleshooting production systems and data pipelines</li><li>Ability to work independently and take ownership of critical infrastructure</li><li>Strong problem-solving skills and operational mindset</li></ul><p><br></p><p><strong>Highly Relevant Experience</strong></p><ul><li>Airflow or workflow orchestration platforms</li><li>CI/CD and DevOps practices</li><li>Container technologies (Docker, Kubernetes, Podman, etc.)</li><li>MongoDB, Redis, or similar database technologies</li><li>Distributed computing, HPC, or large-scale compute environments</li><li>Quantitative research platforms or backtesting infrastructure</li><li>Internal developer platforms and tooling</li></ul><p><br></p><p><strong>What We're Looking For</strong></p><ul><li>Strong sense of ownership and accountability</li><li>Comfortable balancing operational support with platform improvements</li><li>Pragmatic engineer focused on reliability and business outcomes</li><li>Someone who enjoys solving difficult infrastructure and production problems</li><li>Ability to work closely with researchers and developers in a fast-moving environment</li></ul><p><br></p><p><strong>Why Join Us</strong></p><ul><li>Direct ownership of research and production infrastructure</li><li>Broad exposure across systems, databases, data platforms, and DevOps</li><li>Opportunity to modernise and shape a growing quantitative platform</li><li>Close collaboration with quantitative researchers and engineers</li><li>Highly impactful role with significant autonomy</li></ul><p><br></p><p><em>Selby Jennings is a Trading Style of Phaidon International (License Number 16S8194)</em></p>

<p>We are looking for an experienced <strong>Senior Data Engineer</strong> to join a growing data and AI team in Dubai. The role will contribute across the full data development lifecycle, including ingestion, cleansing, validation, transformation, curation and presentation.</p><p><br></p><p>The successful candidate will work closely with data, engineering, product and business teams to deliver secure, scalable data solutions supporting analytics, reporting, machine learning and AI use cases.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Develop, test and maintain robust <strong>ETL/ELT pipelines</strong> to ingest and transform data from multiple sources into data lakes and data marts.</li><li>Build and maintain <strong>web scraping solutions</strong> where required.</li><li>Optimise data workloads for performance and cost, including partitioning, compression and query tuning.</li><li>Apply data modelling standards including <strong>dimensional modelling, star/snowflake schemas and canonical data models</strong>.</li><li>Contribute to the evolution of the cloud data architecture.</li><li>Support the productionisation of <strong>ML, AI and LLM-based solutions</strong> through reliable data pipelines and feature stores.</li><li>Expose curated and well-documented datasets for self-service reporting, dashboards and analytical tools.</li><li>Apply strong <strong>data quality, governance, metadata management and security practices</strong>.</li><li>Implement appropriate controls around IAM, encryption, row/column-level security, auditing and monitoring.</li><li>Partner with Product, Engineering and business stakeholders to translate data requirements into scalable technical solutions.</li><li>Contribute to <strong>code reviews, testing, documentation, CI/CD and DevOps practices</strong>.</li><li>Develop reusable, maintainable components using clean coding and version control standards.</li></ul><p><br></p><p><strong>Requirements</strong></p><ul><li>Minimum <strong>5 years of experience</strong> in Data Engineering or a closely related role.</li><li>Strong hands-on experience with <strong>Python and SQL</strong>.</li><li>Experience building <strong>ETL/ELT pipelines</strong> using tools such as dbt, Informatica, Talend, AWS Glue, Python or SQL.</li><li>Experience with modern cloud data platforms such as <strong>Snowflake and/or Databricks</strong>.</li><li>Experience working in <strong>Azure, AWS and/or GCP</strong> environments.</li><li>Strong understanding of <strong>data modelling and data warehousing concepts</strong>.</li><li>Experience supporting data lakes, data marts and analytical platforms.</li><li>Familiarity with <strong>CI/CD and DevOps practices</strong> in data environments.</li><li>Experience working with analytical or BI tools such as <strong>Power BI, Tableau, Spotfire, MicroStrategy or SAP Analytics Cloud</strong>.</li><li>Strong analytical, troubleshooting and problem-solving capabilities.</li><li>Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics or a related discipline.</li></ul><p><br></p><p><strong>Preferred Experience</strong></p><ul><li>Experience with <strong>SAP HANA / SAP HANA Cloud</strong>, including Calculation Views, XS Engine, SDI or SDA.</li><li>Exposure to <strong>Large Language Models, Generative AI and Agentic AI</strong> solutions.</li><li>Experience building AI workflows or automations using tools such as <strong>LangChain, LangGraph, n8n, CrewAI, Make or similar frameworks</strong>.</li><li>Experience with feature stores and ML/AI production pipelines.</li><li>Strong understanding of cloud data security and governance.</li><li>Experience building or maintaining robust web scraping solutions.</li></ul><p><br></p>

<p><strong>Requirements Consultant</strong></p><p><strong>About the Role</strong></p><p><br></p><p>We are seeking a Requirements Consultant to support a major greenfield enterprise transformation programme.</p><p><br></p><p>Working with business stakeholders, consultants, architects, and delivery teams, you will lead requirements elicitation across multiple workstreams. You will help stakeholders define solution scope, assess options and trade-offs, and translate business needs into clear, testable, and traceable requirements.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p><strong>Requirements Elicitation &amp; Specification</strong></p><ul><li>Lead discovery workshops, stakeholder interviews, and document analysis across programme workstreams.</li><li>Develop Business Requirements Documents (BRDs) and document business, functional, and non-functional requirements.</li><li>Define use cases and acceptance criteria to support solution design and validation.</li><li>Challenge and refine requirements to resolve ambiguity, inconsistencies, and gaps.</li><li>Establish and maintain agreed requirements baselines.</li></ul><p><strong>Stakeholder Advisory &amp; Consulting</strong></p><ul><li>Understand stakeholders’ business objectives, technology challenges, and operational needs.</li><li>Advise on solution scope, delivery options, priorities, and trade-offs.</li><li>Collaborate with consultants and technical specialists to develop solutions aligned with business requirements.</li><li>Present findings and recommendations to business and technical audiences.</li><li>Contribute to client presentations and proposal development where required.</li></ul><p><strong>Process Modelling &amp; Requirements Governance</strong></p><ul><li>Model business processes and use cases, identifying improvement opportunities.</li><li>Maintain requirements traceability from business needs through design, testing, and acceptance.</li><li>Assess requirements changes and their impact on scope and delivery.</li><li>Work with the central design authority to align requirements with programme standards.</li><li>Maintain analysis documentation using tools such as Visio, Jira, or Azure DevOps.</li></ul><p><strong>Solution Validation &amp; Delivery Support</strong></p><ul><li>Collaborate with delivery teams and vendors to clarify requirements throughout implementation.</li><li>Support solution validation and User Acceptance Testing (UAT).</li><li>Validate delivered functionality against agreed requirements and acceptance criteria.</li><li>Support change activities throughout the requirements lifecycle.</li><li>Communicate requirements status, risks, dependencies, and outstanding decisions.</li></ul><p><br></p><p><strong>Required Qualifications &amp; Experience</strong></p><ul><li>Bachelor’s degree in a relevant discipline, or an equivalent combination of education and professional experience.</li><li>At least 6 years of relevant professional experience, including at least 2 years in a similar consulting role.</li><li>Proven experience delivering requirements consulting or business analysis engagements.</li><li>Strong experience in requirements management and BRD development.</li><li>Expertise in documenting business, functional, and non-functional requirements.</li><li>Experience in process modelling, use-case development, acceptance criteria, and requirements traceability.</li><li>Ability to advise stakeholders on scope, priorities, options, and trade-offs.</li><li>Experience using analysis tools such as Visio, Jira, or Azure DevOps.</li><li>Experience supporting solution validation, UAT, and requirements change management.</li><li>Strong workshop facilitation, stakeholder management, communication, and problem-solving skills.</li><li>Ability to collaborate within a multi-vendor programme environment.</li><li>Professional proficiency in English.</li></ul><p><strong>Preferred Qualifications</strong></p><ul><li>BCS or IIBA certifications, including CBAP or CCBA.</li><li>Agile certification.</li><li>Experience supporting higher education institutions or university transformation programmes.</li><li>An advanced degree in a relevant discipline.</li><li>Arabic language proficiency.</li></ul><p><br></p>

<p><strong>Job Purpose</strong></p><p>As a Data Scientist at SAAL.ai, you will apply machine learning and deep learning techniques to solve real-world business problems across numeric and text-based analytics. You will work across the full data science lifecycle—from data acquisition and feature engineering to model development and deployment—collaborating closely with engineering, product, and DevOps teams to deliver customer-centric AI solutions.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Develop and deliver high-quality machine learning and deep learning models across a broad range of analytics use cases.</li><li>Understand the practical scope and constraints of AI models within products and apply appropriate modeling techniques to ensure business relevance and technical robustness.</li><li>Acquire data from diverse sources, performing data exploration and preprocessing on structured and unstructured datasets, conducting feature engineering, evaluating algorithms and architectures, and iteratively refining models to improve performance.</li><li>Identify valuable data sources and automate data collection and preparation processes where possible.</li><li>Build, fine-tune, and maintain machine learning pipelines, integrate algorithms and packages into the platform, and contribute new models to the platform marketplace.</li><li>Collaborate closely with engineering and DevOps teams to support model deployment and operationalization.</li><li>Contribute to applied research activities, propose data-driven solutions to business challenges, and work with product, support, and client-facing teams to ensure successful rollout of AI solutions into trials and general availability.</li></ul><p><br></p><p><strong>Key Skills</strong></p><ul><li>Strong foundation in the theory and applied practice of machine learning and deep learning. Experience developing pipelines for structured and unstructured data.</li><li>Hands-on experience with deep learning frameworks such as TensorFlow and PyTorch, and machine learning libraries such as scikit-learn.</li><li>Proficiency in Python, with working knowledge of Java or R.</li><li>Experience developing and exposing models through RESTful APIs and containerized deployments using Docker.</li><li>Strong coding practices, including appropriate use of data structures and clean, maintainable code.</li><li>Applied experience in NLP, including the use of transformer-based models and libraries such as Hugging Face, spaCy, or Gensim. Familiarity with SQL, Pandas, Apache Spark, and data processing at scale.</li><li>Experience using ML lifecycle tools such as MLflow.</li><li>Strong analytical thinking, communication skills, and the ability to present technical concepts clearly to internal and external stakeholders.</li><li>Ability to work collaboratively across multidisciplinary teams.</li></ul><p><br></p><p><strong>Desirable Skills</strong></p><p>Experience working with large language models (LLMs), including offline deployment scenarios. Exposure to cloud-based environments (AWS, GCP, Azure). Experience with data visualization tools and collaborative environments such as Jupyter Notebooks and Git-based workflows. Domain experience with education or finance datasets is an advantage.</p>

<ol><li><p>Design, develop, and maintain custom <strong>SAP Fiori applications</strong> and <strong>ABAP services</strong> on <strong>SAP BTP</strong>, ensuring adherence to coding standards and best practices.</p></li><li><p>Build and maintain <strong>RESTful/OData APIs</strong> and integration interfaces with <strong>SAP S/4HANA</strong> and third-party applications.</p></li><li><p>Collaborate with business stakeholders to gather requirements, develop prototypes, and optimize business processes.</p></li><li><p>Conduct <strong>unit testing</strong>, participate in <strong>code reviews</strong>, and troubleshoot issues throughout the development lifecycle.</p></li><li><p>Stay current with <strong>SAP BTP technologies</strong>, including <strong>CAP/RAP</strong>, <strong>Java/Node.js runtimes</strong>, and integration services, and recommend continuous improvements.</p></li></ol><p><strong>Desired Candidate Profile</strong></p><ol><li><p><strong>ABAP Development:</strong> Strong proficiency in ABAP programming, including reports, forms, enhancements, Object-Oriented ABAP, CDS Views, and performance optimization. Experience across the full software development lifecycle, including analysis, design, development, testing, and deployment.</p></li><li><p><strong>SAP Fiori / UI5:</strong> Hands-on experience in designing and developing SAP Fiori applications using SAPUI5 and Fiori Elements. Knowledge of responsive UI/UX principles, Fiori Launchpad configuration, and integration with OData and REST services.</p></li><li><p><strong>SAP Business Technology Platform (BTP):</strong> Experience with SAP BTP application development, including RAP (RESTful Application Programming Model) and/or CAP (Cloud Application Programming Model). Familiarity with BTP runtimes, Java/Node.js, and UI5-based application development.</p></li><li><p><strong>Integration & APIs:</strong> Experience integrating SAP S/4HANA and third-party systems using OData, IDoc, BAPI, RFC, REST, and SOAP services. Knowledge of SAP Integration Suite and API Management is preferred.</p></li><li><p><strong>Tools & DevOps:</strong> Proficient in SAP development tools such as Eclipse ADT and SAP GUI, with experience in Git, transport management, Agile methodologies (Scrum/Kanban), unit testing, and CI/CD pipelines.</p></li><li><p><strong>Database & Analytics:</strong> Good understanding of SAP HANA concepts, CDS Views, SQL, and data modeling, with the ability to optimize database performance and data access.</p></li></ol><br><p><strong>Soft Skills</strong></p><ul><li><p>Strong ability to collaborate with functional and business teams to gather requirements and translate them into effective technical solutions.</p></li><li><p>Excellent problem-solving, analytical, and debugging skills with a proactive approach to learning new SAP technologies.</p></li><li><p>Effective communication and stakeholder management skills, with the ability to engage both technical and non-technical audiences.</p></li><li><p>Ability to work independently and as part of a cross-functional team in a fast-paced environment.</p></li><li><p>Strong attention to detail and commitment to delivering high-quality solutions.</p><br></li></ul><p><strong>Educational Background & Certifications</strong></p><ul><li><p>Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related discipline.</p></li><li><p>SAP certifications in <strong>ABAP Development</strong>, <strong>SAP Fiori/UI5</strong>, and/or <strong>SAP Business Technology Platform (BTP)</strong> are highly preferred.</p></li><li><p>Certifications or training in <strong>Agile methodologies (Scrum/Kanban)</strong>, <strong>DevOps practices</strong>, or <strong>CI/CD frameworks</strong> would be an added advantage.</p></li><li><p>Continuous learning mindset with a keen interest in emerging SAP technologies and cloud-based solutions.</p></li></ul>

<strong>Job Requirements<br><br></strong>5+ years of experience in full-stack application development using ASP.NET, C#, .NET Core, JavaScript, HTML5, CSS, jQuery, and Bootstrap.<br><br>Strong experience in SQL Server, database design, data-driven applications, and scalable enterprise application development.<br><br>Hands-on experience with REST APIs, integration platforms, Python/Node.js, and end-to-end application development.<br><br>Good knowledge of Git, CI/CD pipelines, DevOps, automation, and deployment practices.<br><br>Experience with Agile, SDLC, testing, troubleshooting, incident/problem management, and production support.<br><br>Strong problem-solving, analytical, communication, stakeholder management, and independent delivery skills.<br><br>Exposure to Azure AI, Databricks, OpenShift, or Power Automate would be an advantage.<br><br><strong>Work Experience<br><br></strong>5-7Years

<ul><li>Implement and manage CI/CD pipelines to automate software delivery and ensure fast, reliable releases.</li><li>Collaborate with development teams to enhance system architecture for performance and scalability.</li><li>Monitor application and infrastructure performance, troubleshooting issues proactively to maintain uptime.</li><li>Manage container orchestration platforms like Kubernetes to streamline deployment processes.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Engineering, or related field, providing a strong technical foundation.</li><li>2-5 years of relevant work experience in software development, systems administration, or similar roles.</li><li>Certifications such as AWS Certified DevOps Engineer or Docker Certified Associate to validate expertise.</li><li>Experience with scripting languages like Python, Bash, or Ruby to automate tasks efficiently.</li></ul>

<p><strong>Mandatory Consulting Skills</strong></p><ul><li>Proven experience leading cloud, DevOps, platform, or operational maturity assessments.</li><li>Strong workshop facilitation, stakeholder management, and interviewing skills.</li><li>Ability to challenge assumptions, validate supporting evidence, and translate assessment findings into concise, actionable recommendations.</li><li>Experience translating assessment outcomes into practical, executable improvement roadmaps.</li><li>Strong executive communication and presentation skills, with the ability to communicate complex findings effectively to diverse stakeholders.</li></ul><p><br></p><p><strong>Mandatory Technical Skills</strong></p><ul><li>Deep knowledge of AWS and/or Azure enterprise environments.</li><li>Expertise in cloud architecture, landing zones, IAM, governance, security, Infrastructure as Code (IaC) using Terraform, CI/CD, GitOps, cloud operations, observability, DevSecOps, FinOps, platform engineering, and DORA metrics.</li><li>Ability to assess enterprise cloud platforms, evaluate technical evidence, and credibly challenge technical assumptions and existing practices.</li></ul><p><br></p>

<strong>Responsibilities<br><br></strong><strong>Job Summary<br><br></strong><ul><li>Lead modernization of Databricks platform and adoption of advanced features.</li><li>Design and deliver Lakeflow jobs, pipelines, and scalable Lakehouse solutions.</li><li>Implement and optimize Unity Catalog, DQX, DB Genie, AI/BI workloads.</li><li>Establish engineering best practices, governance, and automation frameworks.</li><li>Along with the individual contribution, mentor teams and guide technical decision‑making across the organization.<br><br></li></ul><strong>Requirements<br><br></strong><ul><li>6 plus years in data/platform engineering with deep Databricks expertise</li><li>Strong Hands‑on experience with Pyspark, Streaming, DBR, Lakeflow, UC, DQX, DB Genie, Delta Lake</li><li>Experienced in ADF, Synapse and exposure to Azure DevOPs</li><li>Proven leadership in large‑scale Databricks or Lakehouse transformation projects</li><li>Strong out of the box thinking, problem‑solving, and deliverables leadership<br><br></li></ul>CogAE106

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Job Summary</b></p><p><b>Responsibilities</b></p><ul><li>Lead modernization of Databricks platform and adoption of advanced features.</li><li>Design and deliver Lakeflow jobs, pipelines, and scalable Lakehouse solutions.</li><li>Implement and optimize Unity Catalog, DQX, DB Genie, AI/BI workloads.</li><li>Establish engineering best practices, governance, and automation frameworks.</li><li>Along with the individual contribution, mentor teams and guide technical decision‑making across the organization.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Requirements</b></p><ul><li>6 plus years in data/platform engineering with deep Databricks expertise</li><li>Strong Hands‑on experience with Pyspark, Streaming, DBR, Lakeflow, UC, DQX, DB Genie, Delta Lake</li><li>Experienced in ADF, Synapse and exposure to Azure DevOPs</li><li>Proven leadership in large‑scale Databricks or Lakehouse transformation projects</li><li>Strong out of the box thinking, problem‑solving, and deliverables leadership</li></ul><p><br></p></div>

<strong>Your role at Dynatrace<br><br></strong><strong>What’s the role?<br><br></strong>As a Dynatrace Solution Engineer, you will be a key member of the Dynatrace sales engine, responsible for providing excellent technical support to the sales team across Dubai and South Africa. You will be the expert on Dynatrace and all facets of Advanced Observability. Within this exciting role, you will be responsible for executing great demos which demonstrate the Dynatrace unique approach in solving the customer’s pain, executing and managing POCs onsite and remote, building key relationships with Dynatrace’s customers and completing RFIs &amp; RFPs. You will also work across teams including Dynatrace’s innovation labs, Dynatrace’s Expert Services consultants, CSMs and marketing.<br><br><strong>About You<br><br></strong>To ensure your success as a Solution Engineer at Dynatrace, you need to be an ambitious, confident and self-motivated individual, with previous SE experience or another technical customer facing role. You need to be passionate about innovative technology, technical sales and articulating value to customers and prospects. In addition, we are also looking for:<br><br><ul><li>An excellent team player, with the ability to work across all disciplines. </li><li>Excellent communication and presentation skills, with the ability to communicate technical value into business value. </li><li>You have worked previously with enterprise customers in South Africa and Dubai.</li><li>Previous 5+ years of experience with observability or application performance management technologies and techniques. </li><li>Ability to troubleshoot technical issues to produce a working outcome and be able to manage this process. </li><li>Ability to manage a number of projects simultaneously, work with a number of different sales people and support other SEs where needed. </li><li>Must have a strong desire to grow professionally, adapt to an ever-changing environment and are coachable. </li><li>Must be able to travel up to 50% of the time <br><br></li></ul><strong>Responsibilities<br><br></strong><ul><li>Evangelize Dynatrace’s product offerings during international trade shows and at key customer account meetings to promote new and expanded business. </li><li>Partner with sales representatives to identify new sales opportunities as well as incremental sales opportunities within existing accounts. </li><li>As part of the solution engineering team participate in proof of concept (PoC) creation and cloud architecture discussions, leading the technical solution evaluation portion in support of sales opportunities either directly or through channel partners for multiple POCs. </li><li>Present Dynatrace’s vision to our customers C-suite executives. </li><li>Provide technical guidance in the Discovery, Solution Evaluation, and Solution Proposal stages of the opportunity sales cycle. </li><li>Present on-stage demonstrations providing insight and context to our customers during key marketing events. Either at Dynatrace sponsored industry events or partner sponsored events, ensure key demonstrations are delivered by you or a team member at demonstration booths. </li><li>Gather, qualify and provide feedback from customers to Product Management to improve Dynatrace’s market share and meet the market needs. </li><li>Not only work with internal sales team, but also with partners, supporting their team in the customers and being a technical point of contact for them (trusted advisor/technical coach). </li><li>Position might be filled at a higher level based on candidate experience. <br><br></li></ul><strong>What Will Help You Succeed<br><br></strong><strong>Minimum Requirements: <br><br></strong><ul><li>Bachelor’s degree in Computer Science or equivalent education or experience required. </li><li>5+ years of experience within the observability space.<br><br></li></ul><strong>Preferred Requirements<br><br></strong><ul><li>Experience with web technologies such as HTML, CSS, and JavaScript, and programming/ scripting side technologies such as Java, .NET, PHP, Go, Node.js and database. </li><li>Experience with DevOps or Site Reliability Engineering practices, knowledge with cloud platforms, including AWS, Azure or GCP. </li><li>Experience with modern technologies like containers, Kubernetes / OpenShift, Serverless functions, and CI/CD pipelines. </li><li>Experience with log management and analytics, including ingesting, parsing, and querying logs. Able to correlate logs with traces and metrics for troubleshooting.</li><li>Knowledge of runtime application security, including vulnerability detection in third-party libraries, attack detection, and DevSecOps / shift-left practices</li><li>Experience monitoring AI/ LLM-powered applications, including tracing model calls and agents, and tracking token usage, latency, cost, and output quality.</li><li>Knowledge of building and operating AI-enabled applications, including LLM integration, RAG, agent frameworks, prompt engineering, and deploying models in production<br><br></li></ul><strong>Why you will love being a Dynatracer<br><br></strong><ul><li>Dynatrace is a leader in unified observability and security. </li><li>We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance. </li><li>Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances. </li><li>You'll get to work at the forefront of innovation with Dynatrace Intelligence—the industry's first agentic operations system. Bringing together deterministic and agentic AI, it helps teams understand what's happening, why it matters, and what to do next— automatically.</li><li>Over 50% of the Fortune 100 companies are current customers of Dynatrace.</li></ul>