Senior Software Engineer
Microsoft · Posted Sep 24
Software, cloud computing, artificial intelligence, and hardware services
Get a personal compatibility score
Add a resume for personal matches
About the role
Microsoft’s AI infrastructure is evolving rapidly to support the next generation of large-scale AI training and inference. The AI Frameworks (AIFx) Networking & 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, and the India Development Centre is building end-to-end engineering competency across the Maia system software stack. This Senior Software Engineer role will design and build scalable AKS/Kubernetes infrastructure for GPU and AI accelerator platforms, covering cluster lifecycle, node and resource management, deployment, availability, observability and automation needed to operate accelerator infrastructure reliably at cloud scale.
What you will do
- Design and develop scalable AKS/Kubernetes infrastructure for GPU and AI accelerator environments.
- Build services and automation for cluster provisioning, configuration, upgrades and lifecycle management.
- Develop solutions for node lifecycle, health monitoring, failure detection and automated recovery.
- Improve infrastructure scalability, reliability and availability across large accelerator fleets.
- Build Kubernetes integrations for accelerator discovery, resource management, scheduling and workload enablement.
- Develop reliable software and automation for deployment, configuration and management of accelerator infrastructure.
- Improve telemetry, observability, diagnostics and operational readiness of distributed infrastructure.
- Diagnose complex issues across Kubernetes, containers, Linux, networking and accelerator infrastructure.
- Collaborate with Control Plane, systems software, hardware and platform teams to deliver end-to-end solutions.
- Contribute to architecture/design reviews, engineering best practices, code quality and mentoring of other engineers.
- Apply AI-assisted engineering practices across design, coding, testing, debugging, code reviews and documentation to improve engineering velocity and quality.
- Use AI-assisted workflows to accelerate code comprehension, troubleshooting, root-cause analysis, test development and infrastructure automation.
- Leverage AI to accelerate learning and build deeper AKS/Kubernetes, distributed systems and AI infrastructure domain competency.
- Identify repetitive engineering and operational workflows that can be simplified or automated using AI-enabled engineering approaches.
- Share reusable AI-assisted engineering practices and technical knowledge to improve team productivity and engineering competency.
Skills used in this role
What the employer is looking for
- Bachelor’s Degree in Computer Science, Computer Engineering or related technical discipline, or equivalent experience with 8+ years of industry relevant experience.
- Strong software development skills in Go, C++, C#, Python or similar languages.
- Experience building distributed systems, cloud infrastructure or platform services.
- Hands-on experience with Kubernetes, containerisation and cloud-native technologies.
- Strong understanding of distributed-systems concepts including scalability, concurrency, state management, resiliency and failure recovery.
- Experience developing reliable production software and debugging complex distributed systems.
- Strong design, problem-solving and cross-team collaboration skills.
- Demonstrated ability or strong experience using AI-assisted software engineering tools and workflows to improve development effectiveness, debugging, automation and software quality.
- Ability to rapidly develop expertise in complex infrastructure technologies and apply that knowledge to production engineering problems.
Preferred qualifications
- Experience with Azure Kubernetes Service (AKS) or large-scale Kubernetes environments.
- Experience with cluster/node provisioning, Kubernetes controllers/operators, scheduling or resource management.
Benefits and support
- A culture of inclusion where everyone can thrive at work and beyond.
About Microsoft
Microsoft Corporation is a multinational technology company that develops, licenses, and supports a wide range of software products, services, and hardware devices. Best known for its Windows operating systems, Microsoft 365 productivity suite, and Xbox gaming consoles, the company has expanded heavily into enterprise cloud computing via Azure and advanced artificial intelligence solutions. As one of the world's most valuable public enterprises, it empowers individuals and businesses globally through innovative digital transformation.
- Industry
- Software
- Company size
- 228,000+ employees
- Founded
- April 4, 1975
- Location
- Redmond, Washington, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Vice Chair and President
Recent coverage
Windows Central
Microsoft Announces Windows 11 Version 26H2 and Previews Next-Gen AI Features2026-10-04
Barchart
Wells Fargo Adds Microsoft to Q4 Tactical Ideas List With Street-High Target2026-10-06
The Official Microsoft Blog
Microsoft 365 and LinkedIn Leadership Update Issued by Satya Nadella2026-10-01