Sr. Kubernetes Engineer

Overview

Design, build and operate Lilly's Kubernetes-based hosting platform across multiple clouds, owning platform capabilities end to end.

What you'll do

• Build, deploy and operate Kubernetes clusters end to end, from provisioning and configuration through upgrades, networking, scaling and decommissioning, on a managed offering such as EKS or ROSA, or an equivalent platform.
• Develop and maintain custom Kubernetes controllers and operators in Go (controller-runtime, Kubebuilder, or Operator SDK), including CRD design, reconciliation logic, finalizers, and admission webhooks.
• Author and maintain automation, tooling, and services in Go or Python that streamline platform operations, onboarding, and review processes.
• Build and manage infrastructure as code using Terraform, Helm, and Kustomize, with strong module design, state management, and policy-as-code practices.
• Own and evolve CI/CD and GitOps pipelines using GitHub, GitHub Actions, Argo CD, Artifactory, and Checkmarx, with a security-first approach to software supply chain.
• Implement node and workload autoscaling with Karpenter, Cluster Autoscaler, HPA/VPA, and KEDA, including node image and upgrade strategies.
• Partner with application teams during onboarding, migration, and go-live, providing hands-on technical guidance and clear documentation.

What you'll need

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• 4-7 years of experience in Platform or DevOps engineering, including running Kubernetes in production.
• Strong, hands-on experience with at least one managed Kubernetes offering (EKS, AKS, ROSA, or ARO).
• Strong programming experience in Go, including hands-on experience building Kubernetes controllers and operators.
• Solid knowledge of Kubernetes internals and extension points: CRDs, controllers and operators, admission webhooks, finalizers, and the client-go and controller-runtime libraries.
• Hands-on experience with CI/CD and GitOps tooling: GitHub, GitHub Actions, Argo CD or Flux, and artifact management (Artifactory or equivalent).
• Working knowledge of AWS and/or Azure core services, networking, and IAM.
• Practical experience with observability tooling (Prometheus, Grafana, Loki, Tempo, Mimir, or equivalents) and log analysis in Splunk or similar.
• Experience with Linux, containers, and container runtimes, and strong troubleshooting skills across the network and OS layers.
• Demonstrate deep, hands-on Kubernetes expertise: scheduling, networking, storage, RBAC, API machinery, and troubleshooting production issues.
• Write production-quality Go (and Python where needed), including tests, and apply good software engineering practices to platform code.
• Apply strong knowledge of AWS/Azure, including compute, networking (VPC/VNet, routing, private endpoints), IAM (IRSA, Pod Identity, workload identity), and managed Kubernetes services.
• Operate CI/CD and GitOps toolchains effectively, with sound judgment on release strategies such as progressive delivery, canary, and rollback.
• Use observability tooling to diagnose platform and application issues quickly, and drive improvements from the findings.

Nice to have

• Exposure to multiple managed Kubernetes offerings is strongly preferred.
• Python for tooling and automation is a plus.

Details

• Location: Bengaluru, India.
• Full-time employee position.
• Availability for flexible hours may be needed to support platform operations.
• Some on-call or non-standard-hours support may be required depending on platform incident volume.