DevOps Engineer
About The Role The role owns the infrastructure that keeps production running — Kubernetes clusters, CI/CD pipelines, observability stacks, and cloud environments serving high-traffic systems around the clock. The team works closely with application engineers to make deployments boring, incident response fast, and infrastructure costs predictable. This is a hands-on role: expect to spend the majority of your time in terminals, Terraform repos, and incident channels, not in slide decks.
Key Responsibilities
Design, build, and maintain scalable infrastructure on AWS or GCP using Terraform — VPCs, EKS/GKE clusters, IAM, networking, and autoscaling policies Own and improve CI/CD pipelines (GitHub Actions, GitLab CI, or ArgoCD) to enable safe, frequent deploys with automated rollback paths Build and operate observability stacks — Prometheus, Grafana, OpenTelemetry, and structured alerting — to reduce mean time to detection and resolution Lead and participate in incident response: run postmortems, identify root causes, and drive systemic fixes rather than patches Harden production systems: implement security best practices, least-privilege access, secrets management (Vault), and compliance-ready audit trails Containerize and orchestrate services with Docker and Kubernetes, including Helm chart management and workload right-sizing Partner with development teams to improve service reliability — defining SLOs, building runbooks, and eliminating operational toil through automation What We Are Looking For 3–6 years of experience in DevOps, SRE, or infrastructure engineering, including on-call ownership for production systems Deep hands-on experience with at least one major cloud (AWS, GCP, or Azure), including networking and IAM Production experience with Kubernetes and containerized workloads at meaningful scale Strong infrastructure-as-code skills with Terraform (or equivalent) and version-controlled operational practices Proficiency in at least one scripting or systems language: Python, Go, or Bash Bachelor's degree in Computer Science, Engineering, or equivalent practical experience