We are looking for an experienced Senior DevOps Engineer to join a technology engineering team supporting enterprise-scale platforms and advanced analytics environments. The role will focus on building and managing automated CI/CD pipelines, containerized platforms, infrastructure automation, security integration, and production engineering across highly available and regulated environments.
The ideal candidate will have strong hands-on experience with Jenkins, GitHub Actions, ArgoCD, Kubernetes/OpenShift, Docker, Helm, Terraform, Ansible, Groovy, Python, Linux, and Git, with a strong understanding of DevOps, SRE, Infrastructure as Code, security engineering, and Agile delivery practices. We are looking for someone who enjoys collaboration, experimentation, solving problems, and continuously learning.
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Location
Dubai, United Arab Emirates
Key Responsibilities
- Design, build, maintain, and optimize automated CI/CD pipelines for Python-based applications and microservices.
- Develop and manage CI/CD pipelines using Jenkins, GitHub Actions, and ArgoCD.
- Build and maintain microservices CI/CD pipelines using modern DevOps practices.
- Develop and maintain Helm-based deployment pipelines for containerized applications.
- Automate application deployment, configuration management, infrastructure provisioning, and operational processes.
- Implement and maintain GitOps-based deployment workflows using tools such as ArgoCD.
- Automate security, compliance, and regulatory checks within CI/CD pipelines.
- Integrate DevSecOps tools into CI/CD pipelines, including tools such as SonarQube, Checkmarx, Sysdig, Nexus, Nexus IQ, Cosign, and related security/quality tooling.
- Implement automated patching and configuration management across environments.
- Design, deploy, and manage containerized applications using Docker, Kubernetes, OpenShift, and Podman.
- Work with Terraform, Ansible, and other Infrastructure as Code (IaC) tools to provision and manage environments.
- Develop automation scripts using Groovy, Python, and Linux shell scripting.
- Troubleshoot and resolve infrastructure, application, deployment, and pipeline-related issues.
- Provide production support and participate in on-call/production support rotations where required.
- Monitor application and platform health using tools such as ELK, Prometheus, and Grafana.
- Collaborate with development, security, infrastructure, platform, and product teams to ensure successful delivery and adoption of technology platforms.
- Support application and platform onboarding through self-service and automation.
- Work with teams to ensure smooth transition, adoption, and consumption of platform services.
- Contribute to technical design discussions, engineering standards, automation strategies, and platform improvements.
- Continuously evaluate emerging technologies and industry best practices to improve engineering efficiency and platform capabilities.
Requirements
- 3–5+ years of engineering, DevOps, platform engineering, or operational experience.
- At least 3 years of relevant experience in a similar DevOps/Platform Engineering role.
- Experience working within large, complex, highly available enterprise environments.
- Strong experience in CI/CD, containerization, infrastructure automation, and production support.
- Candidates from the following environments are preferred: Banking, Financial Services, FinTech, Insurance, Telecommunications, Healthcare, Government, or other highly regulated / enterprise environments.
Required Technical Skills
- Strong hands-on experience with CI/CD pipelines.
- Experience with Jenkins and/or GitHub Actions.
- Experience with ArgoCD / GitOps.
- Strong understanding of pipeline automation using Groovy, Python, or Pipeline-as-Code.
- Experience building CI/CD pipelines for microservices and Python-based applications.
- Experience with Helm-based deployment pipelines.
- Understanding of DevOps and SRE principles.
- Strong understanding of 12-Factor application principles.
Nice to Have
- Public cloud experience with Azure, AWS, or OCI.
- Experience supporting Machine Learning / ML projects or analytics platforms.
- Python programming experience.
- Experience with advanced analytics or data engineering platforms.
- Exposure to enterprise platform engineering and self-service infrastructure.
Agile & Delivery
- Experience working in Agile engineering environments.
- Understanding of Agile/DevOps delivery methodologies.
- Ability to work across development, operations, security, infrastructure, and product teams.
- Experience managing delivery from inception through production.
- Strong understanding of operational support within a DevOps/SRE model.
- Ability to work under pressure and manage multiple priorities.
- Strong troubleshooting, incident management, and problem-solving skills.
