Description

Role and responsibilities
Working as part of a team, you would be responsible for:
Hands-on experience managing and operating large-scale Kubernetes
infrastructure, including containerization with Docker and Kubernetes.
Strong expertise in Infrastructure as Code (IaC) using tools such as Terraform,
CloudFormation, and Crossplane.
Proven experience working across public cloud platforms, including AWS, Azure,
and GCP, in multi-cloud environments.
Hands-on experience with modern data platforms such as Databricks and
Snowflake.
Proficiency in scripting and automation using Python (mandatory) and Bash.
Experience building and maintaining CI/CD pipelines using tools such as Jenkins,
ArgoCD, and GitOps-based workflows.
Exposure to AIOps practices and modern observability stacks.
Strong problem-solving, communication, and cross-team collaboration skills.

Key Responsibilities & Skills
Infrastructure as Code: Terraform, Helm, Crossplane
Cloud Platforms: AWS, Azure, GCP (multicloud)
Containers & Orchestration: Docker, Kubernetes (EKS, GKE, AKS) at scale
Data Platforms: Databricks, Snowflake
CI/CD & Automation: Jenkins, ArgoCD, GitOps; service meshes (e.g., Istio)
Monitoring & Observability: Prometheus, Grafana, Open Telemetry
DevSecOps: Security integration across the CI/CD lifecycle
Scripting: Python (mandatory), Shell scripting

Nice-to-have skills
Experience in working with any NOSQL database e.g. MongoDB / Cassandra.
Experience in working with Kafka, Zookeeper etc will be a good advantage.
Experience in AI and ML Ops
Qualifications
6+ years of work experience in systems or application DevOps and Release
management
B.Tech., M.Tech. or MCA degree from a reputed university

Key Skills

Education

Any Graduate