DevOps Engineer

About this role

About the role: - Build and maintain production-grade Kubernetes infrastructure across managed services like GKE, EKS, or AKS - Design and implement CI/CD pipelines that include quality gates, matrix builds, environment-based approvals, and workflows spanning multiple repositories - Manage cloud platforms (GCP, AWS, or Azure) with focus on identity and access control, secret handling, container image storage, and traffic distribution - Optimize container images using multi-stage Dockerfiles, secure secret injection, and efficient layer caching strategies - Configure autoscaling policies, ingress routing, and service mesh components to ensure application reliability and performance - Troubleshoot production issues, debug services, and maintain system health through strong Linux fundamentals and shell scripting What you'll work on: - Setting up and monitoring Kubernetes clusters in production environments - Writing automation scripts to reduce manual operations - Implementing secrets management and secure credential rotation - Deploying and updating applications through standardized pipeline processes - Collaborating with development teams on infrastructure requirements - Documenting infrastructure decisions and runbooks for the team What we're looking for: - 3+ years working in DevOps, Platform Engineering, or Site Reliability Engineering roles - Hands-on production Kubernetes experience with at least one major cloud provider's managed service - Proficiency with configuration automation and understanding of how Kubernetes manages scale and traffic routing - Ability to construct sophisticated CI/CD workflows with multiple stages and approval mechanisms - Demonstrated expertise in cloud security practices including IAM and secrets management - Solid command of Linux administration and the ability to write and debug shell scripts Nice to have: - Experience with external secrets management tools such as External Secrets Operator or Vault Agent - Familiarity with OpenShift or self-managed Kubernetes deployments - Exposure to service mesh platforms like Linkerd or Istio - Background with AI infrastructure components like LiteLLM or Ollama - Knowledge of observability practices including logs, traces, and monitoring dashboards - Experience managing relational databases, performing backups, and resolving query issues - Comfort reading Python or TypeScript to understand application behavior