Production Operations (ProdOps) Engineer

Position Summary

Client is seeking a highly motivated 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.

Must have a Development Background

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

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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.

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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.