DevOps Engineer (25LPA - 35LPA)
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Job Description
This role is for one of our client companies — a VC-backed startup that has raised $2 million USD in funding.
Salary: 25LPA - 35LPA
Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities. What we're building
CodeRound 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 do
Own and scale the company's Kubernetes-based infrastructure platform
Drive the CI/CD transformation, including GitOps workflows, release automation, and multi-environment deployments
Build secure and reliable deployment pipelines with proper QA gates and production promotion processes
Manage Kubernetes workloads, autoscaling, ingress, service mesh, and infrastructure configurations
Lead on-premise deployments for enterprise customers
Migrate and manage secrets using modern secrets management platforms
Maintain branch protection policies, CI gates, and infrastructure security best practices
Own observability systems including metrics, logging, tracing, dashboards, and alerting
Monitor platform reliability, troubleshoot incidents, and improve system resilience
Manage backups, disaster recovery, and infrastructure reliability across production systems
Partner 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 foundations
Impact — Work directly with founders and engineering leadership on critical platform decisions
Innovation — Build infrastructure powering next-generation AI systems and developer tools
Learning — Gain exposure to Kubernetes, enterprise deployments, cloud infrastructure, and AI workloads at scale
Growth — 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 Engineering
Have strong hands-on experience with Kubernetes and containerized environments
Are proficient with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or similar platforms
Have experience with Docker, GitOps workflows, and Infrastructure as Code
Have worked extensively with cloud platforms such as AWS, GCP, or Azure
Have experience using Terraform, Ansible, Chef, Puppet, or similar automation tools
Understand networking, security, secrets management, and production operations
Have experience managing monitoring, logging, and observability systems
Enjoy troubleshooting complex distributed systems and production issues
Thrive in fast-moving startup environments with high ownership and autonomy ⚡ Bonus points if you:
Have experience managing on-premise deployments for enterprise customers
Have worked with Prometheus, Grafana, Loki, Jaeger, or similar observability stacks
Have implemented GitOps workflows using tools such as ArgoCD or Flux
Have experience with service mesh technologies and advanced Kubernetes operations
Have built scalable infrastructure for AI, machine learning, or developer tooling platforms
Enjoy building developer platforms and improving engineering productivity
About CodeRound AI
CodeRound AI
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