ProdOps Engineer

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.Essential Job Functions:

Production Operations & Support

• 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.

CI/CD & Release Management

• Design, maintain, and optimize GitLab CI/CD pipelines.
• Automate application deployment, testing, and release processes.
• Implement deployment best practices to improve reliability and reduce downtime.
• Collaborate with development teams to streamline DevOps processes.

Kubernetes Platform Management

• Deploy, configure, and manage containerized applications on Kubernetes.
• Troubleshoot pod, service, ingress, and cluster-level issues.
• Manage scaling, availability, and performance optimization of Kubernetes workloads.
• Work with Helm charts and Kubernetes manifests for application deployments.

Database Deployment & Administration

• Plan and execute database deployment activities across environments.
• Support database schema changes, migrations, and rollback procedures.
• Monitor and optimize database performance.
• Collaborate with development teams on database release strategies.

PostgreSQL Administration

• Support and maintain PostgreSQL databases.
• Troubleshoot database performance bottlenecks and connectivity issues.
• Manage backup, recovery, replication, and high-availability configurations.
• Ensure database security and compliance standards are maintained.

Monitoring & Observability

• Configure and maintain monitoring dashboards using Dynatrace.
• Analyze application and infrastructure performance metrics.
• Create alerts and proactive monitoring strategies to identify issues before customer impact.
• Use observability tools to drive system reliability and operational excellence.

Continuous Improvement

• Develop automation scripts and operational tooling.
• Create and maintain operational runbooks and standard operating procedures.
• Identify opportunities for process improvement and operational efficiency.
• Partner with engineering teams to improve platform reliability and scalability.

Position Requirements:

Technical Skills

• GitLab CI/CD
• Pipeline creation and optimization
• GitLab Runners
• Deployment automation
• Kubernetes
• Cluster operations and administration
• Helm Charts
• Pod, Service, Ingress troubleshooting
• Database Deployments
• Schema migrations
• Release management
• Rollback strategies
• Monitoring & Observability
• Dynatrace
• Application Performance Monitoring (APM)
• Log analysis and alerting
• Troubleshooting
• Application debugging
• Infrastructure issue diagnosis
• Performance analysis
• Production incident management

Operational Skills

• 24x7 On-Call Support
• Incident Management
• Root Cause Analysis (RCA)
• Problem Management
• Change Management
• Release Coordination

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 GCP.
• 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.