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We are seeking experienced engineers to help build cloud‑native, open‑source AI frameworks and platforms that power AI/ML training, fine‑tuning, inference, and agentic applications at scale. This role focuses on designing and implementing Kubernetes‑native abstractions and operators that make advanced AI workloads reliable, scalable, and easy for developers to consume across cloud and hybrid environments. You will contribute to and help lead work in upstream open‑source communities while shaping and building production‑grade AI platforms used by internal teams and external customers.
Job Responsibility:
Design, implement, and maintain Kubernetes operators and controllers for AI/ML workloads
Partner with product managers, business stakeholders, and users to understand user pain points deeply and create innovative solutions that delight your customers in an agile development environment
Contribute to applicable upstream open-source projects
Write technical design documents and participate in architecture reviews
Mentor team members and external contributors through code reviews
Debug and optimize distributed AI systems running at scale
Strive for excellence in everything you do: culture, collaboration, process, tools, design, engineering practices, customer experience, performance, security etc.
Requirements:
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, or Python
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check
Nice to have:
Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, or Python
OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, or Python
OR equivalent experience
Hands‑on experience building or operating AI/ML training, fine-tuning, and inference platforms in cloud‑native environments
Proficiency with Go and/or Python for building platform components, Kubernetes operators/controllers, and integrations in production environments
Demonstrated experience contributing to or maintaining open‑source software, especially in the Kubernetes, AI/ML, or cloud‑native ecosystem