We are looking for an experienced Senior DevOps Engineer to architect, automate, and manage our multi-region, high-availability cloud infrastructure.

This is a high-ownership role where you will lead DevOps strategy, design scalable systems, and work closely with AI/ML teams to support GPU-driven workloads.

Key Responsibilities :

- Design and manage multi-cluster EKS Kubernetes environments with autoscaling and spot/on-demand node balancing.

- Architect scalable CI/CD pipelines for backend, frontend, and AI workloads.

- Lead infrastructure automation using Terraform / AWS CDK, ensuring deterministic and repeatable deployments.

- Manage Docker image build farms, GitOps workflows, and microservices deployments.

- Implement GPU scheduling, batch jobs, and AI model inference infrastructure.

- Architect and maintain multi-region systems, RDS Multi-AZ, backups, and disaster recovery (DR) strategies.

- Own observability : Prometheus, Grafana, Loki, OpenTelemetry, Elasticsearch/OpenSearch.

- Implement cloud security best practices : IAM, VPC, KMS, WAF, Shield, penetration testing workflows.

- Drive incident response, root cause analysis, and long-term stability improvements.

- Evaluate and adopt modern DevOps tooling; run PoCs and recommend improvements.

- Mentor junior engineers and guide them in cloud, Kubernetes, and automation practices.

Must-Have Skills :

- 3+ years hands-on experience in AWS cloud infrastructure and Kubernetes (EKS).

- Strong expertise in Docker, GitHub Actions, ArgoCD, CodePipeline.

- Solid experience with Terraform / AWS CDK and Infrastructure as Code practices.

- Deep understanding of multi-region systems, Multi-AZ architectures, DR patterns.

- Proficiency with monitoring & logging stacks (Prometheus, Grafana, Loki, OpenSearch).

- Strong understanding of VPC networking, IAM, KMS, Secrets Manager.

- Strong troubleshooting, performance tuning, and debugging skills.

Nice-to-Have Skills :

- Experience with Kafka/MSK, Redis, RabbitMQ, SQS.

- Experience with GPU-heavy AI/ML workloads and Kubernetes GPU operators.

- Background in SOC2, GDPR, or DPDP compliance readiness.

Who You Are :

- A self-driven engineer who takes ownership of complex cloud systems.

- Strong communicator and collaborator across cross-functional teams.

- Capable of leading decisions, mentoring juniors, and driving technical excellence