Key Responsibilities include :
Provide expert-level DevOps support for applications built on our internal Java / Kotlin framework.
Collaborate with development teams to understand application needs and optimize infrastructure and deployment pipelines.
Design, implement, and maintain robust CI / CD pipelines using Git, Docker, and related technologies.
Manage and troubleshoot Kubernetes clusters (GKE or self-managed) , including Helm charts, ingress, autoscaling, and workload distribution.
Monitor infrastructure and application health, setting up efficient alerting and logging mechanisms.
Administer and optimize MySQL databases : replication, backups, performance tuning, and queries.
Debug and resolve complex issues across the stack – from application code to containers and cloud infrastructure.
Lead continuous improvements in DevOps tools, automation, and best practices.
Mentor junior engineers and contribute to knowledge-sharing initiatives.
Technical Expertise :
Strong experience with Git (advanced branching, versioning strategies).
Deep expertise in Docker : image building, registry management, lifecycle management.
Solid experience managing and troubleshooting Kubernetes (GKE / self-managed) and tools like Helm .
Hands-on with GCP services : GKE, Compute Engine, Cloud SQL, Cloud Storage, Pub / Sub, Monitoring & Logging.
Competency in managing MySQL databases including backups, performance tuning, and replication.
Proficient in Java , with the ability to debug application code when needed.
Soft Skills :
Strong troubleshooting skills for distributed systems and containers.
Ownership mindset with the ability to work independently and collaboratively.
Excellent communication skills (written and verbal).
Engineer • Hyderabad, India