DevOps Engineer

Ovii's Interpretation of the Role

Blitzy seeks a senior DevOps Engineer to design, build, and operate the cloud infrastructure that powers its AI‑driven software platform. The role focuses on Kubernetes at scale, CI/CD automation, and observability to accelerate developer productivity and ensure reliable AI agent orchestration.

Role Snapshot

• Own Kubernetes clusters for AI workloads
• Design and maintain CI/CD pipelines
• Automate provisioning with Terraform & Python
• Manage Helm‑based application releases
• Implement full‑stack observability
• Support AI agent orchestration infrastructure
• Collaborate across engineering teams

Must-Have Requirements

• Kubernetes
• Helm
• Terraform
• Python
• CI/CD pipeline design
• Linux administration
• AWS/GCP/Azure
• Docker/OCI
• Observability tooling
• DevOps engineering
• Kubernetes cluster management
• CI/CD pipeline development
• Infrastructure as Code

Nice-to-Have Signals

• CKA certification
• MLOps tooling (MLflow, Kubeflow)
• Microservices architecture
• API gateways / service mesh
• MLOps tooling
• High‑growth AI startup experience
• CKA (Certified Kubernetes Administrator)

Work Setup

• Location: Pune, India
• Work mode: ONSITE
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Remote eligibility
• Relocation
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Build and operate scalable Kubernetes clusters for AI agent workloads
• Create and own fast, reliable CI/CD pipelines for multi‑service deployments
• Automate infrastructure provisioning and scaling using Terraform and Python
• Package and release applications with Helm charts and enforce release standards
• Develop and maintain observability stacks, including metrics, tracing, and logging
• Monitor production services, respond to incidents, and lead blameless post‑mortems
• Provide dedicated infrastructure for AI agent orchestration and autonomous development
• Partner with engineering teams to improve developer tooling and deployment experience

Good Fit If You Have

• CKA certification (preferred)
• Experience with MLOps platforms such as MLflow or Kubeflow
• Background in microservices and distributed systems design
• Familiarity with API gateways or service mesh technologies (Istio, Linkerd)
• Prior work in a high‑growth AI or software startup