DevOps & Automation engineers - Kubernetes, Python 1

Role: Senior Engineer/Lead

Education: BE (CS) OR Equivalent

Experience :5-7 Years

Location: Pune

About the Role
We are building a Kubernetes-native CI/CD platform for Strider, our enterprise storage product. You will design, build, and operate a multi-stage Tekton pipeline system that takes code changes from pull request to production — covering lint, unit, component, integration, smoke, system, soak, and performance testing stages. This is greenfield infrastructure work with real production impact.
What You'll Work On

• Design and maintain Tekton Pipelines, Tasks, Triggers, and EventListeners running on an RKE2 Kubernetes cluster


• Build and evolve a curated OCI builder image supporting rootless Podman-in-Podman for container builds within Tekton pods


• Manage GitHub webhook integration with Tekton EventListeners for automated PR validation and post-merge build pipelines


• Extend CI infrastructure to cloud providers (Azure, GCP, AWS) as on-premises capacity constrains scale


• Maintain RBAC, ServiceAccounts, Secrets, and platform resources for the pipeline cluster


• Integrate security scanning (Aikido), test reporting (PDash), and artifact management (Artifactory) into the pipeline


• Contribute to SLSA-compliant build provenance and image signing for production promotions


• Operate an on-call rotation covering the CI cluster, EventListener health, and pipeline SLA adherence

Required Skills

• Kubernetes — hands-on cluster operations (RKE2 or similar), kubectl, RBAC, workloads, PVCs, namespaces, debugging pods and events


• Tekton — Pipeline, Task, PipelineRun, TaskRun, Triggers, EventListener; tkn CLI; Tekton Dashboard


• Container tooling — OCI image build, Podman, rootless container configuration, overlay storage drivers


• Shell scripting — Bash/zsh, Make-based build systems


• Git & GitHub — webhook integration, GitHub status checks, branch protection rules

Nice to Have

• Experience with RKE2 or Rancher Kubernetes distributions


• Familiarity with Helm for deploying applications onto ephemeral clusters


• Exposure to Kind for local/ephemeral Kubernetes cluster provisioning

Must Have

- Strong python automation skills

- Strong linux and networking basics

- Knowledge and experience working in kubernetes and docker containers

- Knowledge of Jenkins, Build and Release Pipeline management

Good to have

- Knowledge of other DevOps automation tools such as Jenkins

- Docker / Kubernetes / Linux Certifications   

- Qualification: B.E/B.Tech – IT/CS/EEE/ECE/Mech/MCA/MCS.BCS/BCA/ME/MTech-CS/IT