Cloud Native Engineer

Why this role exists

We're looking for aCloud Native Engineer to build and optimize the microservices architecture powering our AI cloud platform. You'll design resilient, scalable systems using cutting-edge cloud native technologies, ensuring our platform can handle massive AI workloads with reliability and performance.

As part of our cloud native engineering team, you'll work onKubernetes-based infrastructure, Go microservices, and container orchestration systems that serve as the backbone of our AI computing platform.You'll architect the systems that make AI compute seamless for thousands of developers and enterprises.

This is a unique opportunity for someone who's excited towork 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 developmicroservices using Go that power our AI cloud platform's core functionality

• Build and maintainKubernetes-based infrastructure for container orchestration and workload management

• Implement and optimizecloud native solutions for scalability, reliability, and performance

• Contribute tocode reviews, technical documentation, and knowledge sharing within the engineering team

• Explore and integrateemerging cloud native technologies like Volcano, Prometheus, and service mesh solutions

• Designdistributed systems architecture for high-availability AI workload processing

• Collaborate with DevOps and SRE teams to ensureproduction reliability and monitoring

• Leverage AI-assisted coding tools (GitHub Copilot, ChatGPT, Cursor IDE, etc.) to boost productivity and code quality

You'll thrive here if you

• 7+ years of software engineering experience with focus on distributed systems and cloud native technologies

• Strong proficiency in Go with deep understanding of concurrency patterns and standard libraries

• Familiarity withPython or other backend languages for polyglot development environments

• Hands-on Kubernetes experience including development, deployment, and maintenance of production clusters

• Solid understanding ofmicroservices architecture design patterns and implementation best practices

• Experience withcontainerization technologies (Docker, containerd) and container runtime optimization

• Problem-solving mindset with ability to independently design and implement complex system components

• Strong collaboration and communication skills for working in cross-functional teams

• Experience using AI-assisted coding tools and willingness to integrate them into development workflow

Bonus qualifications

• Familiarity withcloud native ecosystem tools such as Prometheus, Grafana, Volcano, or service mesh technologies

• Open source contributions to cloud native projects (Kubernetes, CNCF ecosystem)

• Experience withlarge-scale Kubernetes cluster operations and troubleshooting in production environments

• Knowledge ofmicroservices architecture patterns including circuit breakers, service discovery, and distributed tracing

Compensation

• We provide Competitive salary and equity based on your experience and skillset;

• This is a Hybrid role - 3 days in office, 2 days WFH; Must locate in Palo Alto

• Applicants must be authorized to work in the United States without need for visa sponsorship.