Cloud Native Engineer

Job description

## Why this role exists We're looking for a **Cloud 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 on **Kubernetes-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 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 **microservices using Go** that power our AI cloud platform's core functionality - 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 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 with **Python or other backend languages** for polyglot development environments - **Hands-on Kubernetes experience** including development, deployment, and maintenance of production clusters - Solid understanding of **microservices architecture** design patterns and implementation best practices - Experience with **containerization 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 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 with **large-scale Kubernetes cluster operations** and troubleshooting in production environments - Knowledge of **microservices 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.