DevOps Engineer (25LPA - 35LPA)
CodeRound AI · India
Apply & track with Apply EdgeThis role is for one of our client companies — a VC-backed startup that has raised $2 million USD in funding.Salary: 25LPA - 35LPAApply once and, if selected, get access to up to 20 remote and onsite interview opportunities.What we're buildingCodeRound AI matches the top 5% tech talent with some of the fastest-growing, VC-backed AI and product startups across Silicon Valley and India.Top-tier startups across the US, UK, EU, UAE, and India trust CodeRound to hire exceptional software engineers, infrastructure specialists, and AI builders.🛠️ What you'll doOwn and scale the company's Kubernetes-based infrastructure platformDrive the CI/CD transformation, including GitOps workflows, release automation, and multi-environment deploymentsBuild secure and reliable deployment pipelines with proper QA gates and production promotion processesManage Kubernetes workloads, autoscaling, ingress, service mesh, and infrastructure configurationsLead on-premise deployments for enterprise customersMigrate and manage secrets using modern secrets management platformsMaintain branch protection policies, CI gates, and infrastructure security best practicesOwn observability systems including metrics, logging, tracing, dashboards, and alertingMonitor platform reliability, troubleshoot incidents, and improve system resilienceManage backups, disaster recovery, and infrastructure reliability across production systemsPartner closely with engineering teams to improve developer experience and environment consistency🚀 Why join us now?Ownership — Be the first dedicated DevOps engineer and shape the company's infrastructure foundationsImpact — Work directly with founders and engineering leadership on critical platform decisionsInnovation — Build infrastructure powering next-generation AI systems and developer toolsLearning — Gain exposure to Kubernetes, enterprise deployments, cloud infrastructure, and AI workloads at scaleGrowth — Join early and play a key role in defining engineering culture, reliability practices, and platform architecture🙌 You might be a great fit if you:Have 3+ years of experience in DevOps, Platform Engineering, or Site Reliability EngineeringHave strong hands-on experience with Kubernetes and containerized environmentsAre proficient with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or similar platformsHave experience with Docker, GitOps workflows, and Infrastructure as CodeHave worked extensively with cloud platforms such as AWS, GCP, or AzureHave experience using Terraform, Ansible, Chef, Puppet, or similar automation toolsUnderstand networking, security, secrets management, and production operationsHave experience managing monitoring, logging, and observability systemsEnjoy troubleshooting complex distributed systems and production issuesThrive in fast-moving startup environments with high ownership and autonomy⚡ Bonus points if you:Have experience managing on-premise deployments for enterprise customersHave worked with Prometheus, Grafana, Loki, Jaeger, or similar observability stacksHave implemented GitOps workflows using tools such as ArgoCD or FluxHave experience with service mesh technologies and advanced Kubernetes operationsHave built scalable infrastructure for AI, machine learning, or developer tooling platformsEnjoy building developer platforms and improving engineering productivity