Cloud Native Engineer

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