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Role: Senior DevOps Engineer – Advanced Analytics
Location: Dubai, United Arab Emirates
Engagement: Contractual
Duration: 12 Months (Extendable, Long-term with Marc Ellis)
Job Summary:
We are seeking a Senior DevOps Engineer to support the Advanced Analytics function within Technology Engineering. The role focuses on designing, building, and maintaining CI/CD pipelines, containerized deployments, and secure infrastructure for Python-based analytics and ML workloads within a banking environment. The ideal candidate will have strong experience across both IaaS (VM-based infrastructure) and PaaS (containerized CI/CD environments), ensuring scalable, secure, and compliant deployments.
Education & Experience:
- Bachelor’s degree in computer science, engineering, or Information Technology.
- 8+ years of total engineering experience.
- At least 6 years of relevant experience in a DevOps / CI/CD role.
Key Responsibilities:
- Design and maintain automated CI/CD pipelines for Python-based analytics projects
- Manage microservices CI/CD pipelines using Jenkins, GitHub Actions, and ArgoCD
- Build and maintain Helm-based deployment pipelines
- Containerize applications using Docker and deploy to Kubernetes/OpenShift
- Automate security and compliance validation checks within deployment pipelines
- Implement automated patching and infrastructure updates
- Manage and support VM-based infrastructure environments (IaaS)
- Support production environments on rotation and participate in incident resolution
- Collaborate with analytics, ML, and engineering teams in Agile squads
Technical Skills:
- CI/CD tools: Jenkins, GitHub Actions, ArgoCD
- Scripting: Groovy (pipeline automation), Python (basic to intermediate)
- Containerization: Docker
- Orchestration: Kubernetes / OpenShift
- Deployment automation using Helm
- Linux OS and shell scripting
- Source control using Git
- Experience automating security and compliance checks
- Experience with production support and incident management
- Experience managing and supporting IaaS environments (VM-based infrastructure, OS-level configuration, patching) alongside containerized PaaS platforms
- Public cloud exposure – Nice to have
- Experience supporting ML / Data Science workloads – Nice to have
Behavioral & Soft Skills:
- Strong troubleshooting and analytical skills
- Self-starter with strong ownership mindset
- Calm under pressure and delivery-focused
- Pragmatic, collaborative, and continuously improving