Production Operations (ProdOps) Engineer

Introduction:

Production Operations (ProdOps) Engineer to manage and support mission-critical production platforms. The ideal candidate will have strong expertise in GitLab CI/CD, Kubernetes, PostgreSQL, Database Deployments, Application Troubleshooting, Dynatrace Monitoring, and On-Call Production Support. This role requires a proactive individual who can ensure platform stability, automate operational processes, improve deployment efficiency, and rapidly resolve production incidents.

Responsibilities:

• Provide operational support for production and non-production environments.
• Participate in a 24x7 on-call rotation and respond to critical production incidents.
• Monitor system health, application performance, and infrastructure availability.
• Perform root cause analysis (RCA) and implement preventive measures.
• Troubleshoot complex applications, databases, infrastructure, and deployment issues.
• Design, maintain, and optimize GitLab CI/CD pipelines.
• Automate application deployment, testing, and release processes.
• Deploy, configure, and manage containerized applications on Kubernetes.
• Manage scaling, availability, and performance optimization of Kubernetes workloads.
• Plan and execute database deployment activities across environments.
• Support and maintain PostgreSQL databases.
• Configure and maintain monitoring dashboards using Dynatrace.
• Develop automation scripts and operational tooling.
• Create and maintain operational runbooks and standard operating procedures.

Requirements:

Technical Skills:

• GitLab CI/CD
• Kubernetes
• Database Deployments
• Dynatrace

Preferred Qualifications:

• Bachelor's degree in computer science, Information Technology, or related field.
• 5+ years of experience in Production Support, DevOps, SRE, or Platform Engineering roles.
• Experience with Linux administration and shell scripting.
• Familiarity with cloud platforms such as Azure, AWS, or Google Cloud Platform.
• Experience with Infrastructure as Code (Terraform preferred).
• Understanding of microservices architecture and containerization technologies.

Success Metrics:

• Production availability and up time.
• Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR).
• Deployment success rate.
• Reduction in recurring incidents.
• Platform reliability and performance improvements.
• Operational automation and efficiency gains.

Keywords:

GitLab CI/CD, Kubernetes, PostgreSQL, Database Deployments, Dynatrace, Production Support, Incident Management, Troubleshooting, On-Call Support, DevOps, SRE, Platform Engineering, Monitoring, Release Management, Automation.