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Senior Software Engineer

Microsoft· Software Engineering
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Bangalore, Indiafull-timePosted 4w ago

About the role

Senior Software Engineer to design and build scalable AKS/Kubernetes infrastructure for GPU and AI accelerator platforms within the NeST organization at the India Development Centre. Focus on cluster lifecycle, node and resource management, deployment, availability, observability and automation for accelerator infrastructure at cloud scale.

Responsibilities

  • 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.

Qualifications

  • 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.

Skills

Required:GoC++PythonKubernetes
Nice to have:C#

Benefits

  • Equal opportunity employer; comprehensive benefits per Microsoft policy.
Last updated Sep 24, 2026. Interested? Apply on the company site.

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