Role: DevOps / Production Support Engineer
Work Result: Production Support & Test Management
Skill Area: Data Management & Analytics
Technology: Data Science/Analysis, Big Data, Data Lake
Work mode
Key Responsibilities
Production Support & Incident Management
- Operate and support containerized Java/Spring Boot applications across non-production and production environments.
- Manage and support applications deployed on OpenShift/Kubernetes platforms.
- Provide L2/L3 production support, ensuring system availability, stability, and performance.
- Monitor production systems, investigate incidents, perform root cause analysis (RCA), and drive timely issue resolution.
- Participate in Incident, Problem, and Change Management processes, including on-call/shift support.
- Collaborate with Development, Infrastructure, Database, and other technical teams to resolve production issues.
- Troubleshoot application, infrastructure, deployment, and integration-related issues.
Testing & Quality Assurance
- Plan and execute functional, integration, regression, system, and production validation testing.
- Develop and maintain test cases, test scenarios, test data, and test execution reports.
- Support application deployments across Test, UAT, and Production environments.
- Identify, troubleshoot, document, and verify defects and fixes.
- Perform release validation to ensure applications meet quality and operational requirements before production deployment.
- Identify opportunities to improve test coverage, testing processes, and automation.
Deployment & Operational Support
- Support application releases and deployments across multiple environments.
- Validate application health and functionality following deployments.
- Assist with release planning, deployment coordination, and post-release monitoring.
- Contribute to operational improvements, automation, and process optimization.
Required Skills
- Strong experience in DevOps / Production Application Support.
- Hands-on experience with Kubernetes/OpenShift and containerized applications.
- Good understanding of Java/Spring Boot applications and application troubleshooting.
- Experience with L2/L3 production support and incident management.
- Strong knowledge of RCA, problem management, and change management.
- Experience in functional, integration, regression, system, and UAT testing.
- Experience supporting deployments across Test, UAT, and Production environments.
- Good troubleshooting and analytical skills.
- Experience working with cross-functional technical teams.
- Knowledge of CI/CD, deployment processes, monitoring, and release management is preferred.
- Exposure to Data Lake, Big Data, or Data Analytics environments is an advantage.
Pay: RM7,000.00 - RM14,000.00 per month
Work Location: Hybrid remote in Cyberjaya