We are seeking a hands-on Junior DevOps Engineer who is eager to learn, automate, and build cloud infrastructure for cutting-edge AI workloads.

You will support our engineering, AI/ML, and solution architecture teams to deploy scalable, secure, and automated systems across multi-cluster Kubernetes environments.

Key Responsibilities :

- Collaborate with engineering teams to understand deployment requirements and infrastructure needs.

- Assist in building and maintaining AWS EKS Kubernetes clusters across dev, staging, and production.

- Manage Docker images and container deployments using ECR, GitHub Actions, and ArgoCD.

Support CI/CD pipelines for :

- Node.js / Go / Python microservices

- React / Next.js applications

AI inference workloads :

- Assist with Terraform / AWS CDK scripts for infrastructure automation.

- Configure and maintain core AWS services (S3, CloudFront, Route53, ACM).

- Contribute to observability stacks - Prometheus, Grafana, Loki, OpenTelemetry.

- Participate in incident resolution, root cause analysis, and documentation.

- Learn and support security best practices : IAM, Secrets Manager, VPC, WAF, Shield.

Must-Have Skills :

- Basic understanding of AWS services and cloud fundamentals.

- Exposure to Kubernetes (EKS), Docker, Helm, GitOps.

- Familiarity with Terraform / AWS CDK or other IaC tools.

- Understanding of CI/CD concepts and GitHub Actions.

- Basic knowledge of networking, monitoring, and logging tools.

Nice-to-Have Skills :

- Exposure to Kafka/MSK, Redis, SQS, or RabbitMQ.

- Familiarity with GPU workloads or AI/ML pipeline deployments.

- Understanding of compliance frameworks (SOC2, GDPR, DPDP).

Who You Are :

- 0 - 2 years experience in DevOps or cloud engineering.

- Strong eagerness to learn advanced cloud, automation, and multi-region systems.

- Good problem-solving skills and a passion for DevOps engineering