DevOps Engineer

U.S. GenAI startup, Pune Office, Private Limited Company Full Time Employment directly to our Private Limited Company. We are committed to an enduring and robust presence in Pune. Our goal is to enable you to have a long enduring career at Blitzy with opportunity for advancement throughout your career at the company. If you want a role you can turn into a career, read on! If you are looking for a short term arrangement, we recommend you look elsewhere! About Blitzy Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into production-ready code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups. Location: Pune, India (HQ2 – In-Office) Compensation: ₹60,00,000 - ₹85,00,000 + equity eligibility based on performance The Role As a DevOps Engineer at Blitzy's Pune headquarters, you'll build and operate the infrastructure that powers our AI agents and the applications they produce. You'll work at the intersection of cloud infrastructure, developer tooling, and AI-native systems — designing the pipelines, clusters, and automation that allow Blitzy to ship production-ready software at machine speed. This is a hands-on, high-ownership role for an engineer who moves fast, automates everything, and cares deeply about developer experience and system reliability. What Success Looks Like - Kubernetes clusters are running reliably at scale, with clear deployment standards, Helm-managed releases, and minimal manual intervention required from engineering teams. - CI/CD pipelines are fast, consistent, and trusted — developers ship confidently knowing the automation handles the rest. - Observability is comprehensive: alerts are actionable, dashboards are meaningful, and incidents are resolved faster because the right data is always available. - Infrastructure provisioning is fully automated — no snowflake environments, no manual setup, everything reproducible through code. - AI agent orchestration infrastructure is stable and scalable, directly enabling Blitzy's core product to deliver for enterprise customers. - Engineering teams notice the difference — developer productivity is measurably higher and infrastructure is no longer a bottleneck to shipping. Areas of Ownership - Build and manage Kubernetes clusters supporting AI agent workloads and application deployment at scale. - Design, implement, and maintain CI/CD pipelines for application and AI service delivery — ensuring speed, reliability, and repeatability. - Automate infrastructure provisioning and dynamic scaling using Python scripts and Terraform IaC. - Deploy and manage applications using Helm charts; own packaging standards and release automation. - Build and maintain comprehensive observability stacks — alerting, distributed tracing, metrics, and logging (e.g., Prometheus, Grafana, Datadog, OpenTelemetry). - Monitor and maintain production services and APIs; own incident response and drive blameless postmortems. - Build dedicated infrastructure for AI agent orchestration and management, enabling Blitzy's core autonomous development capabilities. - Collaborate with engineering teams on deployment strategies and continuously improve developer experience through tooling and automation. Required Experience - 5–8 years of DevOps, infrastructure, or platform engineering experience. - Python proficiency for scripting, automation, and infrastructure tooling. - Deep Kubernetes expertise — cluster management, workload deployment, scaling, and troubleshooting. - Hands-on Helm experience for application packaging and release management. - Proven ability to design and implement CI/CD p