Production Operations Engineer

We are 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.

Key Responsibilities

Provide production/non-production support and participate in 24x7 on-call.

Monitor systems, troubleshoot incidents, and perform RCA.

Build and optimize GitLab CI/CD pipelines and deployment automation.

Manage Kubernetes, Helm, pods, services, and ingress.

Handle database deployments, migrations, rollbacks, and PostgreSQL administration.

Configure Dynatrace monitoring, APM, alerts, and observability.

Develop automation, runbooks, and processes to improve platform reliability and efficiency.

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 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.