1 day ago
Hyderābād, IndiaStaff+
Responsibilities
- Define and drive the technical vision, architecture, and execution strategy for Graph Connectors, Federated Copilot Connectors, and shared platform capabilities.
- Build AI-native systems and engineering workflows using agents, copilots, automation, evaluation, and data-driven feedback.
- Create reusable frameworks, SDKs, contracts, and control-plane capabilities for building, validating, deploying, monitoring, governing, and operating connectors.
- Lead technical design and implementation for authentication, data access, grounding, action execution, reliability, observability, compliance, and responsible AI.
- Partner with engineering, product, design, applied science, security, compliance, partner teams, and external system owners.
- Translate ambiguous business opportunities into technical roadmaps, milestones, and customer value.
- Establish engineering excellence through design reviews, APIs, automated testing and evaluation, experimentation, secure development, diagnostics, and live-site readiness.
- Review critical designs and code, mentor engineers, influence leaders, and grow technical capability across the connector ecosystem.
Requirements
- Bachelor's degree in Computer Science or a related technical field and 6+ years of technical engineering experience with coding.
- Equivalent experience may substitute for the bachelor's degree and experience requirement.
- Experience coding in languages including C, C++, C#, Java, JavaScript, or Python.
- Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check.
- Preferred: 14+ years of software engineering experience and significant experience designing and delivering commercial-grade distributed platforms or services at global scale.
- Preferred: proven hands-on technical leadership shaping architecture, influencing multiple teams, and delivering complex multi-year initiatives through production operation.
- Preferred: deep expertise in cloud services, distributed systems, APIs, identity and authentication, data integration, security, reliability, observability, and operational excellence.
- Preferred: experience with AI-native development, AI-assisted engineering, agents or copilots, retrieval and grounding, evaluation, automation, and responsible AI.
- Preferred: strong innovation, learning, collaboration, communication, technical judgment, stakeholder alignment, and mentoring skills.
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.