Senior DevOps Engineer - (CI/CD & OpenShift)
GSSTech Group · Dubai, Dubai, United Arab Emirates
IT Services and IT Consulting · 201-500 employees
About the role
The Senior DevOps Engineer will be responsible for managing and optimizing CI/CD pipelines and maintaining OpenShift environments. They will ensure the stability, scalability, and security of the infrastructure through automation and best practices.
What they look for
Requirements
Candidates must have extensive experience in DevOps engineering with a strong focus on CI/CD methodologies and OpenShift platform management. Proficiency in container orchestration and infrastructure automation is essential for this role.
Full description
We are looking for a highly skilled Senior DevOps Engineer to join our Technology Engineering team and support enterprise-scale platform engineering initiatives within a highly regulated environment.
The ideal candidate should have strong expertise in CI/CD automation, Infrastructure as Code (IaC), container platforms, Kubernetes/OpenShift, DevOps tooling, and production support. This role requires hands-on engineering experience in designing, implementing, and managing modern DevOps platforms while collaborating closely with development, infrastructure, security, and platform engineering teams.
You will play a key role in building and maintaining scalable deployment pipelines, automating infrastructure provisioning, improving platform reliability, and driving engineering excellence across enterprise applications.
Key Responsibilities• Design, develop, implement, and maintain enterprise-grade CI/CD pipelines for microservices and cloud-native applications.
- Build and manage automated deployment pipelines using Jenkins, GitHub Actions, ArgoCD, and Helm.
- Develop and maintain Infrastructure as Code (IaC) using Terraform, Ansible, and automation frameworks.
- Automate application deployment, infrastructure provisioning, configuration management, and operational workflows.
- Manage containerized applications using Docker, Kubernetes, OpenShift, and Podman.
- Support platform onboarding by enabling application teams through automation and self-service capabilities.
- Collaborate with Development, Infrastructure, Security, Platform Engineering, and Product teams to deliver scalable platform solutions.
- Integrate DevSecOps tools into CI/CD pipelines, ensuring security, compliance, and governance throughout the software delivery lifecycle.
- Implement automated security scans, regulatory checks, vulnerability management, and patch automation.
- Develop automation scripts using Groovy, Python, and Shell scripting.
- Troubleshoot complex production issues, perform root cause analysis, and provide operational support within a DevOps/SRE environment.
- Monitor platform health, system performance, and application reliability using enterprise monitoring solutions.
- Implement logging, monitoring, alerting, and observability solutions across enterprise platforms.
- Participate in Agile ceremonies including sprint planning, backlog refinement, stand-ups, and retrospectives.
- Contribute to engineering best practices, platform standardization, automation strategies, and continuous improvement initiatives.
- Work within production support rotations and ensure high availability of critical enterprise platforms.
Required Technical SkillsDevOps & CI/CD• Strong hands-on experience with CI/CD pipeline development and automation.
- Jenkins
- GitHub Actions
- ArgoCD
- Helm
- GitOps methodology
- Shared Libraries
- Pipeline as Code
Container & Platform Technologies• Docker
- Kubernetes
- OpenShift
- Podman
- Container orchestration
- Microservices architecture
Infrastructure as Code (IaC)• Terraform
- Ansible
- Infrastructure automation
- Configuration management
Scripting & Programming• Python
- Groovy
- Linux Shell Scripting (Bash)
- API integration and automation
Source Control• Git
- GitHub
DevSecOps & SecurityExperience integrating security tools into CI/CD pipelines, including:
- SonarQube
- Checkmarx
- Sysdig
- Nexus Repository
- Nexus IQ
- Cosign
- Automated security validation
- Compliance automation
- Vulnerability scanning
Monitoring & Observability• ELK Stack
- Prometheus
- Grafana
- Logging
- Monitoring
- Alerting
- Performance analysis
Operating Systems• Linux
- Windows
- Shell scripting
- System administration
Cloud PlatformsHands-on experience with one or more public cloud providers:
- Microsoft Azure
- AWS
- Oracle Cloud Infrastructure (OCI)
Experience with:
- Compute
- Storage
- Networking
- Cloud platform services
Required Technical Knowledge• DevOps methodologies
- Site Reliability Engineering (SRE)
- Infrastructure as Code (IaC)
- Twelve-Factor Application principles
- CI/CD best practices
- Cloud-native application architecture
- Microservices deployment
- REST API integrations
- Production support
- Incident management
- Root cause analysis
- High-availability platform engineering
Networking & SecurityGood understanding of:
- Network fundamentals
- Security engineering principles
- Authentication & Authorization
- Secure software delivery
- Infrastructure security
- Enterprise compliance standards
Required Competencies• Strong troubleshooting and analytical skills.
- Excellent communication and stakeholder management.
- Ability to collaborate effectively with cross-functional engineering teams.
- Strong ownership mindset with focus on automation and operational excellence.
- Ability to work in Agile, DevOps, and product-oriented delivery environments.
- Self-starter with strong initiative and problem-solving ability.
- Calm under pressure with excellent incident management skills.
- Passion for continuous learning and adopting modern technologies.
Preferred Experience• Banking
- Financial Services
- FinTech
- Other highly regulated enterprise environments
Experience supporting:
- Large-scale enterprise platforms
- High-availability systems
- Mission-critical applications
- Distributed environments
- Global engineering organizations
Nice to Have• Experience with Machine Learning (ML) or AI platform deployments.
- Exposure to MLOps practices.
- Experience building AI/ML deployment pipelines.
- Public cloud certifications.
- Kubernetes/OpenShift certifications.
- DevOps or Cloud certifications.