3 days ago
Hyderābād, IndiaStaff+
Responsibilities
- Own technical strategy, architecture, engineering quality, and end-to-end lifecycle for products, platforms, services, and intelligent agents.
- Lead the design, development, operation, and evolution of enterprise-scale solutions across Azure, Dynamics 365, and Microsoft 365.
- Drive adoption of AI-native, agentic, automated, and AI-assisted software engineering practices across development, testing, deployment, and operations.
- Partner with product management, engineering teams, service owners, and stakeholders to define technical direction, influence roadmaps, and deliver business outcomes.
- Establish architectural standards, engineering patterns, governance frameworks, quality bars, and technology strategies for secure, reliable, scalable, maintainable, accessible, and sustainable platforms.
- Use telemetry, operational insights, customer feedback, and engineering data to guide technical investments, product evolution, and quality improvements.
- Lead architecture, design, and code reviews while reducing technical debt and defect patterns.
- Drive reliability, observability, performance, monitoring, testing, resiliency, automation, and operational excellence.
- Coach and influence engineers across teams and improve engineering processes, operating models, and delivery practices.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical field, or equivalent practical experience.
- 12+ years of software engineering experience designing, building, deploying, operating, and managing enterprise-scale applications, platforms, or services.
- 8+ years of experience building and operating cloud-native solutions on Microsoft Azure, Dynamics 365, or Microsoft 365.
- Experience with C#, Java, JavaScript/TypeScript, Python, or equivalent programming languages.
- Deep expertise in software engineering practices, SDLC platforms, engineering toolchains, DevOps, DevSecOps, AI-assisted engineering, and enterprise governance.
- Experience architecting intelligent applications using LLMs/SLMs, agent frameworks, Retrieval-Augmented Generation, Model Context Protocol, and multi-agent systems.
- Experience designing secure, scalable, reliable, maintainable, highly available, resilient, and observable distributed systems.
- Preferred experience defining technical strategy, influencing product roadmaps, leading architectural decisions, and driving engineering standards across multiple teams.
- Microsoft Azure and AI certifications such as AZ-204, AZ-400, or AI-102 are preferred.
Tech Stack
Categories
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.