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Microsoft
PRINCIPAL

Principal Software Engineering Manager

MicrosoftVisit website ·Posted 1 week ago

Location

Hyderabad, Telangana, India

Required Skills

JavaScriptPythonJavaAzureAI

About the Role

Overview As a Software Engineering Manager in Windows Ecosystem . Commercial Engagements (WECE), you will hire and direct a talented team of engineers on a mission to create . operate a trusted decision-intelligence system. This opportunity will allow you to deliver actionable insights and enable rapid action by your peer teams. You will be able to demonstrate that your team is at the cutting edge of AI-assisted engineering while delivering a useful system used every day to improve the speed and agility of our broader team.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

  • • Guides partnership with appropriate stakeholders (e.g., security, privacy, responsible AI) to determine user requirements within and across teams.

  • • Guides teams and leads identification of dependencies and the development of design documents for a product, application, service, or platform.

  • • Optimizes, debugs, refactors, and reuses code to improve performance and maintainability, effectiveness, and return on investment (ROI).

  • • Guides team to drive multiple group's project plans, release plans, and work items in coordination with appropriate stakeholders (e.g., project managers).

  • • Own delivery of full-stack services that combine product engineering with data/ML capabilities (data ingestion, feature engineering, model integration, evaluation, and production operations).

  • • Deliver services and data workflows that synthesize multi-source signals into high-quality, timely insights for engineering and business stakeholders.

  • Qualifications Required Qualifications :

  • • Bachelor's Degree in Computer Science, or related technical discipline AND 12. years technical engineering experience with coding in languages including, but not limited to, C, C.., C., Java, JavaScript, or Python OR equivalent experience.

  • • 3. years engineering management experience leading managers and/or senior ICs.

  • • Developed and released LLM-based systems to production with production runtime of 6. months with significant usage.

  • • Experience building on Azure’s data . AI stack to deliver production-grade systems (data engineering, model integration, evaluation, and operations).

  • Preferred Qualifications

  • • Hands-on experience using AI-assisted development tools in production engineering environments (e.g., LLM-powered IDE workflows, code generation, automated refactoring/testing) and the ability to operationalize them into consistent team practices.

  • • Experience leading teams across software . data/analytics/ML boundaries, including shared ownership models and clear data contracts.

  • • Experience designing multi-agent architectures and evaluation-driven development workflows.

  • • Practical application of automated evaluation harnesses, quality gates, and monitoring to improve agent outputs over time.

  • Other Requirements:
    Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

  • • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

  • This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

    Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
    **requesting accommodations.

    HireIQ AI InsightsBeta

    Ideal Candidate

    A hands-on engineering leader with 12+ years of coding experience who has personally shipped LLM-based production systems (6+ months runtime, significant usage) and spent 3+ years managing managers or senior ICs.

    Estimated Salary Range(medium confidence)

    42 L – ₹68 L per year

    Likely Interview Questions

    1. 1.Walk us through an LLM-based system you developed end-to-end. What was your hands-on contribution versus team contribution, and how did you measure production success beyond launch metrics?
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