Why this role exists

Our hiring partner is looking for a Cloud Native Engineer to build and optimize the microservices architecture that powers their AI cloud platform. You’ll design resilient, scalable systems using cutting-edge cloud native technologies, ensuring their platform can handle massive AI workloads with reliability and performance.

As part of their cloud native engineering team, you’ll work on Kubernetes-based infrastructure, Go microservices, and container orchestration systems that form the backbone of their AI computing platform. You’ll architect systems that make AI compute seamless for thousands of developers and enterprises.

This is a unique opportunity for someone excited to work with the latest cloud native technologies, solve complex distributed systems challenges, and build infrastructure at scale in the rapidly growing AI space.

What you’ll do

• Design and develop Go microservices that power the core functionality of their AI cloud platform
• Build and maintain Kubernetes-based infrastructure for container orchestration and workload management
• Implement and optimize cloud native solutions for scalability, reliability, and performance
• Contribute to code reviews, technical documentation, and knowledge sharing within the engineering team
• Explore and integrate emerging cloud native technologies like Volcano, Prometheus, and service mesh solutions
• Design distributed systems architecture for high-availability AI workload processing
• Collaborate with DevOps and SRE teams to ensure production reliability and monitoring
• Leverage AI-assisted coding tools (GitHub Copilot, ChatGPT, Cursor IDE, etc.) to enhance productivity and code quality

You’ll thrive here if you

• Have 7+ years of software engineering experience, focused on distributed systems and cloud native technologies
• Are highly proficient in Go, with deep understanding of concurrency patterns and standard libraries
• Have familiarity with Python or other backend languages for polyglot development
• Bring hands-on Kubernetes experience, including development, deployment, and maintenance of production clusters
• Understand microservices architecture design patterns and implementation best practices
• Are experienced with containerization technologies (Docker, containerd) and container runtime optimization
• Possess strong problem-solving skills and can independently design and implement complex system components
• Have excellent collaboration and communication skills for cross-functional teamwork
• Are experienced with AI-assisted coding tools and open to integrating them into the development workflow

Bonus qualifications

• Familiarity with cloud native ecosystem tools such as Prometheus, Grafana, Volcano, or service mesh technologies
• Open source contributions to cloud native projects (Kubernetes, CNCF ecosystem)
• Experience operating large-scale Kubernetes clusters and troubleshooting production environments
• Knowledge of microservices patterns, including circuit breakers, service discovery, and distributed tracing

Compensation & Details

• They offer competitive salary and equity based on experience and skillset
• Hybrid role: 3 days in office, 2 days WFH; must be located in Palo Alto
• Applicants must be authorized to work in the United States without visa sponsorship