• Design, develop, and maintain backend services and microservices for large-scale data center management platforms.
• Build high-quality, scalable, and secure RESTful APIs, and integrate with third-party systems and services such as Redfish, IPMI, SNMP, and cloud APIs.
• Develop backend features using Go and/or Python, with strong attention to performance, reliability, scalability, and maintainability.
• Participate in system architecture and technical design, including service decomposition, data flow design, API design, and distributed system patterns.
• Collaborate with cross-functional teams, including Product Management, QA, and hardware/system teams, to translate business and system requirements into robust technical solutions.
• Develop and deploy services in containerized and cloud-native environments using technologies such as Docker, Kubernetes, and Infrastructure as Code (IaC).
• Apply knowledge of data center infrastructure, including servers, power, cooling, and monitoring systems, to improve backend workflows, automation, and system integration.
• Leverage AI-assisted development tools to accelerate prototyping, code generation, debugging, testing, and documentation, while ensuring code quality, security, and maintainability through sound engineering judgment.
• Write clean, well-documented, and testable code, and contribute to code reviews, troubleshooting, and continuous improvement of engineering practices.

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• Strong programming skills in Go and/or Python.
• Good communication skills, with the ability to explain technical concepts clearly to both technical and non-technical stakeholders.
• Experience with microservices, distributed systems, or large-scale backend platforms is preferred.
• Familiarity with containerization and orchestration technologies such as Docker and Kubernetes is preferred.
• Basic understanding of data center infrastructure or system management technologies is a plus.
• Familiarity with backend or web frameworks such as Flask or Gin is a plus.
• Experience with AI-assisted coding tools and the ability to effectively validate and refine AI-generated code is a plus.

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