Software Engineer 2

<b>Overview</b><br><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Microsoft’s AI infrastructure is evolving rapidly to support the next generation of large-scale AI training and inference. The AI Frameworks (AIFx) Networking &amp; Systems Tools (NeST) organisation develops foundational system software that enables Microsoft’s Maia accelerator platforms across pre-silicon development, hardware bring-up, cloud integration and production cloud infrastructure that enables AI accelerators to operate reliably and efficiently at cloud scale.</span></div><div> </div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Within NeST, the India Development Centre is building end-to-end engineering competency across the Maia system software stack. Our work spans the boundary between distributed cloud systems and low-level accelerator software, including control-plane services, host and device management software, accelerator virtualisation, Kubernetes-based infrastructure, Developer/Debugger Infrastructure tools, hardware lifecycle management, reliability, telemetry and diagnostics.</span></div><div> </div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">We are looking for a Software Engineer 2 to design and build scalable AKS/Kubernetes infrastructure for GPU and AI accelerator platforms. You will work on cluster lifecycle, node and resource management, deployment, availability, observability and automation needed to operate accelerator infrastructure reliably at cloud scale.</span></div><div> </div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</span></div><div> </div><br><br><b>Responsibilities</b><br><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Design and develop scalable AKS/Kubernetes infrastructure for GPU and AI accelerator environments.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Build services and automation for cluster provisioning, configuration, upgrades and lifecycle management.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Develop solutions for node lifecycle, health monitoring, failure detection and automated recovery.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Improve infrastructure scalability, reliability and availability across large accelerator fleets.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Build Kubernetes integrations for accelerator discovery, resource management, scheduling and workload enablement.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Develop reliable software and automation for deployment, configuration and management of accelerator infrastructure.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Improve telemetry, observability, diagnostics and operational readiness of distributed infrastructure.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Diagnose complex issues across Kubernetes, containers, Linux, networking and accelerator infrastructure.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Collaborate with Control Plane, systems software, hardware and platform teams to deliver end-to-end solutions.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Contribute to architecture/design reviews, engineering practices, code quality and mentoring of other engineers.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Apply AI-assisted engineering practices across design, coding, testing, debugging, code reviews and documentation to improve engineering velocity and quality.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Use AI-assisted workflows to accelerate code comprehension, troubleshooting, root-cause analysis, test development and infrastructure automation.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Leverage AI to accelerate learning and build deeper AKS/Kubernetes, distributed systems and AI infrastructure domain competency.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Identify repetitive engineering and operational workflows that can be simplified or automated using AI-enabled engineering approaches.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Share reusable AI-assisted engineering practices and technical knowledge to improve team productivity and engineering competency.</span></div><div> </div><br><br><b>Qualifications</b><br><p><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;"><strong>Required Qualifications: </strong></span></p><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Bachelor’s Degree in Computer Science, Computer Engineering or related technical discipline, or equivalent experience with 4+ years of industry relevant experience.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Software development skills in Go, C++, C#, Python or similar languages.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Experience building distributed systems, cloud infrastructure or platform services.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Hands-on experience with Kubernetes, containerisation and cloud-native technologies.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Understanding of distributed-systems concepts including scalability, concurrency, state management, resiliency and failure recovery.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Experience developing reliable production software and debugging complex distributed systems.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Design, problem-solving and cross-team collaboration skills.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Demonstrated ability or experience using AI-assisted software engineering tools and workflows to improve development effectiveness, debugging, automation and software quality.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Ability to rapidly develop expertise in complex infrastructure technologies and apply that knowledge to production engineering problems.</span></div><div> </div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;"><strong>Preferred Qualifications: </strong></span></div><div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Experience with Azure Kubernetes Service (AKS) or large-scale Kubernetes environments.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Experience with cluster/node provisioning, Kubernetes controllers/operators, scheduling or resource management.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Experience operating and scaling Kubernetes-based production infrastructure.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Experience with GPU, AI accelerator or heterogeneous compute infrastructure.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Experience with Linux, containers, networking and host-level system software.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Knowledge of accelerator virtualisation and resource isolation concepts.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Experience with infrastructure automation, CI/CD and configuration/deployment systems.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Experience with telemetry, metrics, distributed tracing, observability and production diagnostics.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Experience applying AI-assisted development to code generation, code comprehension, testing, troubleshooting, documentation and engineering automation.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Experience using AI-enabled workflows to investigate complex distributed-system and infrastructure failures.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Experience leveraging AI to automate repetitive infrastructure engineering and operational tasks.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Ability to use AI-assisted learning alongside engineering fundamentals to accelerate development of Kubernetes, cloud infrastructure and accelerator-domain expertise.</span></div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">• Experience sharing reusable AI-assisted engineering workflows and practices across an engineering team.</span></div><div> </div></div><div> </div><div><span style="font-family: arial, helvetica, sans-serif; font-size: 10.0pt;">#AIINFRA</span></div> <br><p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><br><hr><br><p>Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about <a href="https://careers.microsoft.com/v2/global/en/accessibility.html"><b><u>requesting accommodations.</u></b></a></p>