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

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