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senior quality assurance engineer

senior ai devops engineer

Kingston Stanley

<div>
 
 We&rsquo;re looking for a hands-on
 
 Azure Cloud Engineer
 
 to join a modern, Infrastructure-as-Code-driven environment built entirely on automation, scalability, and AI-first engineering practices.
 
 
 You&rsquo;ll work in a 100% cloud-native estate on Microsoft Microsoft Azure, owning and evolving core platform services across compute, networking, security, and DevOps.
 
 
 
 
 
 
 Tech Stack
 
 
 
 Terraform / Terragrunt | Azure DevOps | AKS &amp; Helm | PowerShell | Ansible | Sentinel | App Insights | Prometheus | Grafana | Loki
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Build &amp; run Azure infrastructure at scale (VMs, AKS, networking, DR)
 </li>
 <li>
 Own Infrastructure-as-Code (modular Terraform/Terragrunt)
 </li>
 <li>
 Manage CI/CD pipelines (90+ Azure DevOps pipelines)
 </li>
 <li>
 Operate Kubernetes platforms &amp; observability stack
 </li>
 <li>
 Drive automation across identity, security, and operations
 </li>
 <li>
 Support multi-region DR and enterprise-grade resilience
 </li>
 </ul>
 
 
 
 
 
 Mindset
 
 
 <ul>
 <li>
 AI-first engineering (ChatGPT / Claude / Copilot)
 </li>
 <li>
 Automation-first, IaC-first approach
 </li>
 <li>
 Strong ownership in a senior, fast-moving team
 </li>
 </ul>
 
 
 
 
 
 Must Have
 
 
 
 
 Azure | Terraform | AKS | Azure DevOps | PowerShell | Networking | AD/Entra ID
 
 
 
 
 
 
 
 Salary: AED 22k standard benefits
 
 
</div>

IT Cloud Engineer Azure

Trivto

<div>
 
 DevOps Engineer
 
 
 
 
 
 
 Location:
 
 Dubai, UAE
 
 
 
 Hiring Process
 
 : AI Interview -&gt; Home Assignment -&gt; Technical Interview -&gt; COO Interview
 
 
 
 Reports to:
 
 VP R&amp;D
 
 
 
 Department:
 
 Development
 
 
 About the Role
 
 
 We seek an experienced Senior DevOps Engineer to join our team and lead our infrastructure automation efforts. The ideal candidate will bridge the gap between development and operations, implementing robust CI/CD pipelines and maintaining our cloud-native microservices architecture.
 
 
 Responsibilities
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Design, implement, and maintain CI/CD pipelines to enable frequent and reliable software releases
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Build and manage containerized applications using Docker and orchestrate them with Kubernetes
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Architect and maintain cloud infrastructure on AWS following best practices and security standards
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Implement GitOps principles using Argo CD for Kubernetes deployments
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Establish monitoring, alerting, and logging solutions to ensure system reliability
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Support and optimize our microservices architecture, ensuring scalability and resilience
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Collaborate with development teams to improve deployment workflows and application performance
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Implement infrastructure as code practices using tools like Terraform
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Conduct security assessments and implement security best practices across the infrastructure
 
 
 Required Skills &amp; Qualifications
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;6-7+ years of experience in DevOps, SRE, or similar roles
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Proficiency with container technologies, specifically Docker and Kubernetes
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;In-depth knowledge of AWS services and architecture patterns
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience implementing and managing Argo CD for GitOps workflows
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong understanding of security best practices for cloud infrastructure
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience designing, implementing, and maintaining microservices architectures
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Knowledge of service discovery, API gateways, and inter-service communication patterns
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Excellent scripting skills (Python, Bash, etc.)
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with infrastructure as code tools ( Terraform )
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong problem-solving skills and the ability to troubleshoot complex systems
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Excellent communication skills, proactive,&nbsp;team player
 
 
 &nbsp;
 
</div>

DevOps Engineer

Jorofy Private Limited

We are seeking a highly skilled Senior AI Engineer (PhD) to lead the design, development, and deployment of advanced Artificial Intelligence and Machine Learning solutions. The ideal candidate will possess a PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a related field, along with extensive industry experience in developing AI-driven products, conducting research, and translating innovative concepts into scalable enterprise solutions.The role requires expertise in Generative AI, Large Language Models (LLMs), Deep Learning, Natural Language Processing (NLP), Computer Vision, and MLOps practices.Key ResponsibilitiesAI Research &amp; Innovation<ul><li>Conduct advanced research in Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI.</li><li>Evaluate emerging AI technologies, frameworks, and methodologies to enhance organizational capabilities.</li><li>Publish research findings, technical papers, patents, or contribute to industry thought leadership initiatives.</li><li>Lead proof-of-concept (PoC) development for innovative AI solutions.</li></ul>Solution Design &amp; Development<ul><li>Architect and develop scalable AI/ML models and intelligent systems.</li><li>Design and optimize Large Language Model (LLM)-based applications and AI agents.</li><li>Build and fine-tune machine learning and deep learning models for production environments.</li><li>Develop AI-powered applications involving NLP, Computer Vision, Predictive Analytics, and Recommendation Systems.</li><li>Integrate AI solutions with enterprise platforms, APIs, and cloud environments.</li></ul>Generative AI &amp; LLM Engineering<ul><li>Develop and optimize Retrieval-Augmented Generation (RAG) architectures.</li><li>Fine-tune foundation models and implement prompt engineering strategies.</li><li>Design AI agents, autonomous workflows, and conversational AI solutions.</li><li>Implement vector databases and semantic search frameworks.</li><li>Evaluate model performance, accuracy, safety, and responsible AI practices.</li></ul>MLOps &amp; Deployment<ul><li>Build end-to-end ML pipelines for model training, deployment, monitoring, and maintenance.</li><li>Implement CI/CD processes for AI applications.</li><li>Optimize model performance, scalability, and infrastructure costs.</li><li>Monitor model drift and ensure continuous improvement.</li></ul>Leadership &amp; Collaboration<ul><li>Provide technical leadership and mentorship to AI Engineers, Data Scientists, and ML Engineers.</li><li>Collaborate with business stakeholders to identify AI opportunities and define solution roadmaps.</li><li>Participate in strategic technology planning and AI transformation initiatives.</li><li>Review code, architecture, and technical deliverables to ensure quality standards.</li></ul>Required QualificationsEducation<ul><li>PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Mathematics, Statistics, or a related discipline.</li></ul>Experience<ul><li>8+ years of experience in AI/ML development, including research and production deployment.</li><li>Proven experience leading AI projects in enterprise environments.</li><li>Experience working with Generative AI, LLMs, and advanced deep learning architectures.</li></ul>Technical SkillsProgramming<ul><li>Python (Advanced)</li><li>SQL</li><li>Java, C++, or Scala (Preferred)</li></ul>AI/ML Frameworks<ul><li>PyTorch</li><li>TensorFlow</li><li>Keras</li><li>Scikit-learn</li><li>Hugging Face Transformers</li></ul>Generative AI &amp; LLM Technologies<ul><li>OpenAI APIs</li><li>LangChain</li><li>LangGraph</li><li>LlamaIndex</li><li>RAG Architectures</li><li>Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)</li></ul>Cloud Platforms<ul><li>AWS</li><li>Microsoft Azure</li><li>Google Cloud Platform (GCP)</li></ul>MLOps &amp; DevOps<ul><li>Docker</li><li>Kubernetes</li><li>MLflow</li><li>Kubeflow</li><li>Jenkins</li><li>GitHub Actions</li></ul>Databases<ul><li>PostgreSQL</li><li>MongoDB</li><li>Vector Databases</li></ul>Preferred Qualifications<ul><li>Publications in reputed journals or AI conferences (NeurIPS, ICML, ICLR, ACL, CVPR, etc.).</li><li>Experience in Agentic AI, Autonomous Systems, and Multi-Agent Frameworks.</li><li>Knowledge of AI Governance, Responsible AI, Explainable AI (XAI), and AI Security.</li><li>Industry certifications in Cloud, AI, or Machine Learning technologies.</li></ul>Core Competencies<ul><li>Strategic Thinking</li><li>Research &amp; Innovation</li><li>Problem Solving</li><li>Leadership &amp; Team Mentoring</li><li>Stakeholder Management</li><li>Communication &amp; Presentation Skills</li><li>Analytical Thinking</li><li>Project Management</li></ul>Key Deliverables<ul><li>Production-ready AI and Generative AI solutions.</li><li>Scalable machine learning pipelines and architectures.</li><li>AI research initiatives and innovation roadmaps.</li><li>Performance optimization and continuous model improvement.</li><li>Technical mentorship and knowledge-sharing across teams.</li></ul>Experience Required: 8&ndash;15+ Years Education: PhD (Mandatory) Level: Senior / Lead Individual Contributor or Technical Lead Role.Education:<ul><li>Master's (Preferred)</li></ul>Experience:<ul><li>Senior Engineer: 10 years (Required)</li></ul>Work Location: In person

Senior AI Engineer (PhD)

Group AMANA

<div>
 
 Amana is seeking an experienced Data Platform Lead with deep expertise in Databricks, the Microsoft Azure ecosystem, and modern lakehouse architectures. The ideal candidate will play a central role in Amana's ongoing platform refresh, moving workloads from Synapse Analytics to a Databricks lakehouse with Unity Catalog, and building the technical foundation that powers analytics, AI, and governance across the enterprise. This role sits within Amana's Data Science, Governance &amp; AI Centre of Excellence, working alongside architects, engineers, analysts, data scientists, and AI engineers, with future growth opportunities into senior platform leadership.
 
 
 
 
 
 
 Why This Role Matters
 
 
 
 Amana operates across capital-intensive sectors where data reliability, cost discipline, and speed of insight are business-critical. The enterprise data platform is the backbone of every downstream analytics, AI, and governance initiative &mdash; from ERP-integrated reporting and predictive models to Agentic AI and Copilot rollouts across the group.
 
 
 You will be at the technical centre of this transformation, designing, building, and hardening the lakehouse that the rest of the function depends on.
 
 
 
 
 
 
 Core Responsibilities
 
 
 
 
 Lakehouse Architecture &amp; Delivery
 
 
 <ul>
 <li>
 Design and deliver end-to-end Databricks lakehouse components &mdash; ingestion, transformation, semantic layer, and serving.
 </li>
 <li>
 Set and enforce Delta Lake and medallion architecture standards across bronze, silver, and gold layers.
 </li>
 <li>
 Lead the technical execution of the Synapse Analytics to Databricks migration, including parallel run, cutover, and decommissioning.
 </li>
 <li>
 Contribute to and sign off on reference designs, integration patterns, and architecture decision records.
 </li>
 </ul>
 
 
 
 
 
 Data Engineering &amp; Integration
 
 
 <ul>
 <li>
 Build and maintain robust ingestion and transformation pipelines from Amana's core enterprise systems: Oracle Fusion (Finance, HCM, P2P, CRM), Hyperion, CMiC, project and operations systems, SharePoint, and Power Platform.
 </li>
 <li>
 Apply strong CI/CD, DataOps, and infrastructure-as-code practices using Git, Azure DevOps, and Terraform or Bicep.
 </li>
 <li>
 Ensure platform reliability through monitoring, alerting, and structured incident response.
 </li>
 </ul>
 
 
 
 
 
 AI/ML &amp; Analytics Enablement
 
 
 <ul>
 <li>
 Build and operate feature store, MLOps, and LLMOps foundations on Databricks.
 </li>
 <li>
 Enable production-grade RAG, agent, and Copilot patterns in partnership with the Data Scientist and AI Engineer.
 </li>
 <li>
 Deliver Power BI semantic models, certified datasets, and self-service guardrails supporting the Amana Digital Academy and enterprise adoption.
 </li>
 </ul>
 
 
 
 
 
 Data Governance &amp; Trustworthy Data
 
 
 <ul>
 <li>
 Implement lineage, cataloguing, access control, data quality, and PDPL controls inside the platform using Unity Catalog and Microsoft Purview.
 </li>
 <li>
 Partner with the Data Governance Office to translate live policies into enforceable platform controls.
 </li>
 <li>
 Support regulatory, ethical, and internal compliance obligations across the data estate.
 </li>
 </ul>
 
 
 
 
 
 Cloud &amp; Cost Discipline
 
 
 <ul>
 <li>
 Own FinOps hygiene on the platform: cluster policies, workload tiering, rightsizing, and chargeback readiness.
 </li>
 <li>
 Translate cloud cost outcomes into commercial terms understood by finance and business stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Technical Leadership
 
 
 <ul>
 <li>
 Work closely with the Data Architect, Data Engineer, Data Analyst, Data Scientist, and AI Engineer to set and uphold technical standards.
 </li>
 <li>
 Provide hands-on technical guidance and code review across the team.
 </li>
 <li>
 Translate business requirements into technical designs with clear delivery outcomes.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Minimum of 7 years in data engineering or data platform work, with strong hands-on delivery experience.
 </li>
 <li>
 At least 3 years hands-on with Databricks, Apache Spark, and Delta Lake at enterprise scale. Snowflake or BigQuery experience is acceptable where the CV shows a real Databricks migration.
 </li>
 <li>
 Contributed to the build or rebuild of an enterprise data platform serving multiple business domains.
 </li>
 <li>
 Deep hands-on experience with the Azure data stack: Databricks, ADLS, Azure Data Factory, Synapse, Azure SQL, Fabric.
 </li>
 <li>
 Direct experience integrating heavy ERP sources: Oracle Fusion, Hyperion, CMiC, or equivalent estates.
 </li>
 <li>
 Governance shipped to production using Unity Catalog or Microsoft Purview, with PDPL or GDPR controls operational, not theoretical.
 </li>
 <li>
 Practical FinOps outcomes on cloud spend.
 </li>
 <li>
 Strong on CI/CD, Git, Azure DevOps, and infrastructure-as-code (Terraform or Bicep).
 </li>
 <li>
 Excellent written and verbal communication skills across technical and business audiences.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Direct experience of a Synapse Analytics to Databricks migration.
 </li>
 <li>
 Exposure to MLOps and LLMOps stacks: MLflow, feature store, vector stores, RAG, agent frameworks.
 </li>
 <li>
 Familiarity with Power BI semantic models and enterprise BI governance.
 </li>
 <li>
 Streaming and event-driven experience: Kafka, Event Hubs, Structured Streaming.
 </li>
 <li>
 Multi-entity, multi-country group exposure with mixed data residency considerations.
 </li>
 <li>
 Industry experience in construction, engineering services, manufacturing, energy, or logistics.
 </li>
 </ul>
 
 
 
 
 
 Certifications
 
 
 
 
 
 Mandatory:
 
 
 
 <ul>
 <li>
 
 Databricks Certified Data Engineer Professional
 
 (Candidates holding the Associate level will be considered on the condition that Professional is achieved within 6 months of joining.)
 </li>
 </ul>
 
 
 Preferred (one or more):
 
 
 <ul>
 <li>
 
 Databricks Certified Machine Learning Professional
 
 </li>
 <li>
 
 Databricks Certified Generative AI Engineer Associate
 
 </li>
 <li>
 
 Microsoft Certified: Azure Data Engineer Associate
 
 (DP-203 / DP-700)
 </li>
 <li>
 
 Microsoft Certified: Fabric Analytics Engineer Associate
 
 (DP-600)
 </li>
 <li>
 
 Microsoft Certified: Azure Solutions Architect Expert
 
 </li>
 <li>
 
 Certified Data Management Professional (CDMP)
 
 &mdash; DAMA
 </li>
 </ul>
 
 
 Education
 
 
 
 M.Tech / B.E. / B.Tech (Computer Science, Information Systems, IT) / MCA / MCS.
 
</div>

Data Platform Lead

Discovered MENA

<div>
 
 📍
 
 Location:
 
 Dubai, UAE (Hybrid)
 
 
 
 
 
 
 
 
 🏢
 
 Office Location
 
 : Jumeirah Lakes Towers (JLT
 
 )
 
 
 
 
 
 
 
 Role Overv
 
 i
 
 ew
 
 
 
 We are hiring a Senior Full-Stack Engineer to lead end-to-end feature delivery and build scalable systems. The ideal candidate is fast, product-oriented, and experienced with AI-assisted development workflows.
 
 
 
 
 
 This role goes beyond feature development and involves working closely with customers, product leaders, and stakeholders to understand business challenges and translate them into practical software solutions. You will play a key role in technical discovery, solution design, and implementation planning, helping shape both the product roadmap and the technical approach while ensuring solutions deliver real business value.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Develop backend services (APIs, authentication, database layers)
 </li>
 <li>
 Build and integrate frontend components with backend systems
 </li>
 <li>
 Design scalable and modular architecture
 </li>
 <li>
 Integrate third-party services (Firebase, REST APIs)
 </li>
 <li>
 Optimize performance, reliability, and maintainability
 </li>
 <li>
 Collaborate directly with product leadership
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 5+ years of hands-on development experience
 </li>
 <li>
 Strong experience in Node.js or PHP
 </li>
 <li>
 Solid understanding of API design and database modeling
 </li>
 <li>
 Experience building and shipping real products
 </li>
 <li>
 Familiarity with AI-assisted coding tools (Copilot, Cursor, etc.)
 </li>
 <li>
 Ability to deliver features quickly and independently
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Experience with Flutter or React
 </li>
 <li>
 Experience with cloud services and DevOps basics
 </li>
 <li>
 Startup or fast-paced environment experience
 </li>
 </ul>
 
 
</div>

Senior Full Stack Engineer

Smart Connected Services for Technical Services LLC

About UsTawasol Solution and Services LLC builds AI-powered automation for enterprise systems. We turn complex, real-world data and fragmented platforms into reliable, auditable automation that organizations trust in production.About the RoleWe're looking for a Principal AI Engineer who owns AI systems end to end &mdash; from the architecture on the whiteboard to the code in production. You'll work across a wide range of enterprise problems, combining backend engineering depth with applied LLM expertise. This is a senior builder's role: you set the technical direction, and you ship it, taking systems from first prototype through deployment, operation, and iteration.What You'll Be Working On<ul><li>AI systems, end to end: Architect and implement production AI applications and agentic workflows, owning each one from concept to running system.</li><li>Enterprise integrations: Connect AI systems to enterprise platforms, APIs, and external services through integration layers you design and build.</li><li>Data and document pipelines: Turn messy, real-world unstructured data into production-grade extraction and processing pipelines.</li><li>MLOps and DevOps: Stand up and run the deployment, CI/CD, and monitoring infrastructure behind your systems &mdash; you ship and operate what you build.</li><li>Technical direction: Define the architecture patterns, evaluation strategy, and guardrails for how we build AI, and prove them out in code.</li><li>Production quality: Drive observability, evaluation, latency, and cost across AI workloads.</li></ul>What We're Looking For<ul><li>Strong backend engineering background with production Python; you build systems meant to run, not demos.</li><li>A track record of carrying AI systems solo across the full lifecycle &mdash; design, implementation, deployment, and operation.</li><li>Experience building agentic / LLM-based systems, with a clear point of view on system design and reliability.</li><li>Experience integrating AI with enterprise systems and APIs.</li><li>Practical RAG and document intelligence experience, including the data-quality realities of production.</li><li>Solid MLOps and DevOps foundation: CI/CD, containerization, deployment, monitoring, and infrastructure. Experience with Git workflows and repository management.</li><li>Sound judgment on production LLM concerns: evaluation, latency, cost, and scaling.</li><li>Ability to operate as a technical leader &mdash; owning ambiguous problems end to end and setting direction for others</li></ul>Nice to Have<ul><li>Experience delivering multi-tenant SaaS or enterprise-grade solutions.</li><li>Computer vision or multilingual NLP experience.</li><li>Familiarity with modern cloud and deployment stacks.</li><li>Computer vision experience (e.g., layout/document models, YOLO-family).</li><li>Comfort across the deployment stack (Render, containerized deploys, CI/CD).</li><li>Mobile app development experience</li></ul>Pay: AED15,000.00 - AED18,000.00 per monthApplication Question(s):<ul><li>&quot;Tell us about a multilingual NLP project you have implemented. Which languages were involved, what challenges did you encounter, and which models or techniques did you use to handle multiple languages?&quot;</li><li>Do you have experience on the Mobile App Development?</li><li>Have you personally trained, fine-tuned, or deployed a YOLO-based model or document layout analysis model in a production or commercial environment? Please provide a specific example.</li></ul>Experience:<ul><li>Delivering multi-tenant SaaS or enterprise-grade solutions.: 3 years (Required)</li></ul>Work Location: In person

Principal AI Engineer

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 Job Description
 
 
 
 
 Overview
 
 
 
 
 About Presight
 
 
 
 Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region&rsquo;s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.
 
 
 
 The Opportunity
 
 
 
 As a Senior DevOps Engineer in our team, you will be responsible for working collaboratively with software engineering to deploy and operate our systems. You will help automate and streamline our operations and processes, building and maintaining tools for deployment, monitoring and operations.
 
 
 
 Responsibilities
 
 
 
 Key Responsibilities:
 
 
 Functional
 
 
 <ul>
 <li>
 Responsible for growing and developing an incredible team of talented and motivated engineers with high expectations around individual ownership and impact
 </li>
 <li>
 Maintain scalable and robust CI/CD framework.
 </li>
 <li>
 Ensure issues are tracked appropriately in the ticket management system.
 </li>
 <li>
 Work with engineers and QA to ensure that issues are resolved, and fixes deployed, in a timely fashion.
 </li>
 <li>
 Maintain suitable deployment-specific support documentation.
 </li>
 <li>
 Impart knowledge of best practices and IT operations in an always-up, always-available service.
 </li>
 <li>
 Transform ambiguity into clarity.
 </li>
 <li>
 Collaborate in a multicultural and diverse environment that expands to include various geographic locations.
 </li>
 <li>
 Convey and receive information in a clear, credible, and consistent manner.
 </li>
 <li>
 Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management and Governance of Organizations policies, procedures, plans and related risk assessments.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in computer engineering, Computer Science, or Electrical Engineering and Computer Sciences.
 </li>
 <li>
 5+years&rsquo; experience in DevOps
 </li>
 <li>
 Experience in developing Continuous Integration/ Continuous Delivery pipelines (CI/ CD).
 </li>
 <li>
 Experience in building health and performance monitoring systems.
 </li>
 <li>
 Strong background in Linux/Unix Administration.
 </li>
 <li>
 Knowledge of one cloud platform such as AWS, Azure or GCP.
 </li>
 <li>
 Solid hands-on knowledge of Dockers and Container Orchestration tools such Kubernetes or Dockerswarm.
 </li>
 <li>
 Proficient in scripting, and Git workflows.
 </li>
 <li>
 Strong experience with SQL and MySQL.
 </li>
 <li>
 Experience deploying, operating, monitoring, and troubleshooting Java applications
 </li>
 <li>
 Hands-on experience running GPU workloads, including model deployment, inference serving, resource scheduling, performance monitoring, GPU utilization optimization and troubleshooting
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <ul>
 <li>
 Working knowledge of OAuth 2.0, OpenID/OpenID-Connect, SAML 2.0, Kerberos, LDAP.
 </li>
 <li>
 Experience with RedHat OpenShift stack
 </li>
 <li>
 A highly detail-oriented and methodical approach to problem solving.
 </li>
 <li>
 Great verbal and written communication skills
 
 
 </li>
 </ul>
 Job Details
 
 
 Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: https://www.presight.ai Job Function: DevOps &amp; QA Company Industry/
 
 
 Sector: Other
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
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</div>

Senior Devops Engineer

Explore 670+ Senior ai devops engineer in Dubai this July. Find roles across top companies and apply now to boost your career.