Production Operations Engineer

Position Summary Bank 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 ________________________________________ 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.