Cloud Native Engineer

Zettabyte-space is seeking a Cloud Native Engineer to build and optimize the microservices architecture for their AI cloud platform. The role involves designing scalable systems and working with cutting-edge cloud native technologies to ensure reliable performance for massive AI workloads.

Responsibilities:

• 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

Requirements:

• 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
• 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