DevOps Engineer

Compensation: ₹15,00,000 to ₹35,00,000 annual salary

Location: Pune, India (in-person role)

About the Role

We're looking for a talented DevOps Engineer to architect and maintain the infrastructure that powers our revolutionary AI agent ecosystem. You'll work directly with our Senior DevOps Engineer (Peter White, based in the US) and collaborate with engineering teams across both our Cambridge and Pune offices to build scalable, resilient systems that support our cutting-edge AI platform.

This role offers the unique opportunity to work at the intersection of traditional DevOps and emerging AI infrastructure, creating systems that enable thousands of AI agents to collaborate seamlessly in generating enterprise-grade software. You'll take ownership of critical infrastructure components while supporting both our Blitzy platform and client projects as needed.

What Success Looks Like

• You build and maintain robust Kubernetes infrastructure that scales effortlessly to support our AI agent ecosystem
• You create and optimize CI/CD pipelines using modern DevOps tools that enable rapid, reliable deployment
• You develop Python-based automation that eliminates manual tasks and accelerates development velocity
• You implement monitoring and observability systems that provide deep insights into infrastructure and application performance
• You collaborate effectively with engineering teams in Pune and the US to improve developer experience
• You proactively identify and resolve infrastructure bottlenecks before they impact customers
• You contribute to infrastructure best practices that support our rapid growth
• You take ownership of the systems you build and operate them throughout their lifecycle
• You communicate openly about technical decisions, keeping teams aligned on your rationale
• You maintain high availability for production services supporting enterprise customers

Areas of Ownership

Our hiring process is designed for you to demonstrate strong expertise in DevOps with focus on Kubernetes, Python automation, and modern CI/CD practices.

Required Technical Experience:

• 5-8 years of DevOps/Infrastructure experience
• Expert-level Python proficiency for automation, scripting, and tooling
• Strong Kubernetes expertise: deployment, scaling, troubleshooting, cluster management
• Hands-on experience with Helm for application package management
• Proven experience designing and implementing CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, or similar)
• Experience with major cloud platforms (GCP, AWS, or Azure)
• Strong Linux administration skills and containerization expertise (Docker)
• Experience with monitoring and logging tools (Prometheus, Grafana, ELK stack, or similar)
• Understanding of microservices architecture and distributed systems
• Proficiency with Git and version control workflows

Ways to Stand Out

• Experience with Terraform for Infrastructure as Code
• Knowledge of MLOps tools and AI/ML infrastructure (Kubeflow, MLflow, Ray)
• CKA (Certified Kubernetes Administrator) or CKAD certification
• Experience with API gateways and service mesh (Istio, Linkerd, Kong)
• GitOps experience (ArgoCD, Flux)
• Background in GPU orchestration and management for AI workloads
• Experience with multi-region, highly available deployments
• Contributions to open-source infrastructure projects
• Experience working with AI/GenAI platforms or developer tools
• Familiarity with security and compliance standards (SOC2, ISO 27001)

You'll Get...

• Competitive Salary
• Medical Insurance Benefits
• Employer Provident Fund contributions with Gratuity after 5 years of service
• Company-sponsored US onsite trips for high performers, based on business requirements
• Potential international transfer support for top performers, based on business requirements
• Technology (hardware, software, trainings, etc.) equipment and/or allowance
• The opportunity to re-shape an entire industry
• Beautiful office environment
• Meal allowance and/or food provision on site

Culture

Who we are: Our Co-Founder and CTO is a Serial Gen AI Inventor who grew up in Pune, India, is a BITS Pilani graduate, and worked at NVIDIA's Pune office for 6 years. There, he was promoted 5 times in 6 years and was transferred to the NVIDIA Headquarters in Santa Clara, California. After making significant contributions to NVIDIA, he proceeded to attend Harvard for his dual Masters in Engineering and MBA from HBS. Our other Co-Founder/CEO is a successful Serial Entrepreneur who has built multiple companies. As a team, we work very hard, have a curious mind-set, and believe in a low-ego high output approach.

We move Blitzy Fast. Time is both our company's and our clients' most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally.

We have a Championship Mindset. We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.

We have a Passion for Invention. As technologists pushing the boundaries of what's possible with AI, we thrive on solving problems that haven't been solved before.

What We Ask of You

This role requires someone who thrives in a fast-paced startup environment and loves tackling complex infrastructure challenges. You'll be building systems for a platform that's never existed before—one where thousands of AI agents collaborate to write software. This means being comfortable with rapid change, continuous learning, and creative problem-solving.

You should be excited about working with our US-based Senior DevOps Engineer and collaborating in-person with our Pune engineering team. The ability to communicate complex technical concepts clearly and work effectively with both technical and non-technical stakeholders is essential.

Please ask yourself if you are ready for a challenge before applying. Even in optimal conditions, Start-Ups are hard, and are always a lot of work. What you do week to week will change. If this feels exciting, not concerning, that's a good sign.

To Apply

Apply through this posting.

Process

Here's what you can expect:

1. 10-minute intro call
2. Technical discussion minutes)
3. System design/architecture discussion (60 minutes)
4. Interview with leadership
5. Notification of offer with timeline to accept

Ready to build the infrastructure for the future of software development? Apply now.

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