DevOps Engineer

11 hours ago

Bengaluru, Karnataka, India Monk CI Full time ₹ 20,00,000 - ₹ 25,00,000 per year

DevOps / Platform Engineer – MonkCIExpected CTC -> upto 25 Lakhs/YearsMonkCI is building a high-performance CI runner platform designed for engineering teams that require reliable, secure, and fast build environments. We are looking for an experienced DevOps / Platform Engineer to help us design, operate, and scale our Kubernetes- and GCP-based infrastructure.Role OverviewYou will be responsible for establishing the core infrastructure that powers MonkCI — including runner lifecycle management, secure multi-tenant isolation, observability, and cost-efficient autoscaling. This is an opportunity to join at an early stage and work closely with the founders on a technically demanding product.Key ResponsibilitiesDesign, deploy, and maintain Kubernetes (GKE) workloads for CI runner orchestration.Implement secure, multi-tenant environments with proper RBAC, secret management, and isolation.Set up and optimize build and caching flows (e.g. BuildKit, remote cache, container registries).Automate infrastructure using Terraform and Helm for reproducible, environment-based deployments.Instrument monitoring and logging for CI workloads, including runner startup times and job success rates.Collaborate with the product/engineering team to integrate GitHub Actions/self-hosted runner flows.Required Skills & ExperienceStrong hands-on experience with Kubernetes (preferably GKE) in production.Good understanding of GCP services (GKE, VPC/networking, service accounts, workload identity/OIDC).Proven experience with Infrastructure as Code (Terraform) and Helm.Familiarity with CI/CD systems, ideally GitHub Actions and self-hosted runners.Ability to troubleshoot across the stack: CI → controller/operator → Kubernetes → node.Strong focus on security, reliability, and performance.Nice to HaveExposure to Kubernetes operators/controllers (e.g. actions-runner-controller).Working knowledge of Go (for reading/extending controllers).Experience running untrusted or bursty workloads (CI, ML jobs, data pipelines).Cost optimization experience on Kubernetes/GCP. To ApplyPlease apply on linkedin jobs.

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