Role overview
We're looking for an exceptional DevOps Engineer to architect and maintain the infrastructure that powers our revolutionary AI agent ecosystem. You'll be instrumental in building scalable, resilient systems that support both our cutting-edge AI platform and modern applications. 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.
As our DevOps Engineer, you'll take ownership of our entire infrastructure stack, from Kubernetes orchestration to AI agent deployment pipelines. You'll work directly with our engineering teams to ensure our platform can scale to support enterprise customers while maintaining the performance and reliability they demand.
What we're looking for
- 5-8 years of DevOps/Infrastructure experience
- Expert-level Python proficiency for automation and scripting
- Deep Kubernetes expertise: deployment, scaling, troubleshooting, and optimization
- Strong experience with Helm for application package management
- Proven track record designing and implementing CI/CD pipelines
- Hands-on experience with major cloud platforms (AWS, Azure, or GCP)
- Terraform expertise for Infrastructure as Code
- Strong Linux administration and containerization (Docker) skills
- Experience with monitoring tools (Prometheus, Grafana, ELK stack)
- Understanding of microservices architecture and distributed systems
Interview process
Here's what you can expect:
- Initial screening call (30 minutes)
- Technical discussion with Hao (45 minutes)
- Deep dive system design with Chaitanya (60 minutes)
- Final conversation with leadership (45 minutes)
- Offer discussion
Blitzy is an equal opportunity employer committed to building a diverse and inclusive team.