1 day ago
Bengaluru, IndiaStaff+
Responsibilities
- Build customer-facing, high-performance, low-latency, and highly available Responsible AI services.
- Lead and mentor engineering teams delivering secure, performant, well-tested, and maintainable software.
- Own architecture and design decisions for complex systems, balancing security, privacy, scalability, resiliency, cost, and testability.
- Drive engineering excellence through developer tooling, automation, security-as-code, compliance evidence, and reliable delivery practices.
- Plan and execute secure releases with experimentation, success metrics, guardrails, and automated deployment and rollback strategies.
- Improve observability and operational readiness through logging, telemetry, dashboards, playbooks, incident response, and postmortems.
- Partner with stakeholders to validate requirements, define measurable feedback loops, and guide future improvements.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- 12+ years of professional software engineering experience, including hands-on development in modern programming languages such as C#, Java, or Python.
- Strong understanding of data structures, algorithms, object-oriented design, scalable systems, and core software engineering fundamentals.
- Experience developing, testing, debugging, and maintaining production-quality software.
- Working knowledge of cloud, distributed systems, or service-based architectures, including reliability, performance, and monitoring concepts.
- Experience designing and architecting products, services, and systems across the engineering lifecycle.
- Ability to improve solutions through validation, monitoring, testing, and data-driven problem solving.
- Preferred: 14+ years of hands-on software engineering experience with C#, Python, or comparable languages.
- Preferred: technical judgment, complex debugging, refactoring, reliability and performance improvement, collaboration, mentoring, and emerging leadership skills.
- Preferred: exposure to AI platforms, large language models, and core machine-learning concepts.
- Ability to meet Microsoft, customer, and government security screening requirements, including the Microsoft Cloud background check.
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.