1 day ago
Bengaluru, IndiaStaff+
Responsibilities
- Build and integrate new Responsible AI services with Azure AI Content Safety, Azure OpenAI Service, Azure AI Studio, and related services.
- Lead and mentor engineering teams delivering secure, performant, well-tested, maintainable production code.
- Own architecture and design decisions for complex systems, balancing security, privacy, scalability, resiliency, cost, and testability.
- Improve engineering standards, developer tooling, automation, security-as-code, compliance evidence, and reliable delivery practices.
- Plan and execute experiments, flightings, deployments, rollbacks, and operational-readiness activities.
- Build observability and on-call readiness through logging, telemetry, dashboards, playbooks, incident response, and postmortems.
- Partner with stakeholders to validate requirements and define measurable feedback loops and success metrics.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- 10+ years of professional software engineering experience with hands-on development in modern programming languages such as C#, Java, Go, or Python.
- Strong understanding of data structures, algorithms, object-oriented design, scalable systems, production code quality, testing, debugging, and maintenance.
- Working knowledge of cloud, distributed systems, service-based architectures, reliability, performance, and monitoring.
- Experience designing and architecting products, services, and systems across the engineering lifecycle.
- Ability to lead solution improvement, validate products and services, identify issues, and apply data-driven problem solving.
- Preferred: 12+ years of hands-on software engineering experience and strong coding fundamentals.
- 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/or 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.