Principal Software Engineering Manager

Microsoft Microsoft · Big Tech · Bengaluru, KA, IN · Software Engineering

Seeking an experienced Principal Software Engineering Manager to lead a team building and scaling privacy and governance capabilities for Microsoft's first-party data and services. The role involves translating regulatory requirements into engineering solutions, partnering across various groups, and ensuring data is handled appropriately to meet compliance obligations and improve customer trust.

What you'd actually do

  1. Build, coach, and retain a high-performing engineering team (hiring, performance, and career growth) and set a culture of quality, inclusion, and operational excellence.
  2. Own end-to-end delivery of privacy and data-governance platform capabilities (e.g., data discovery and inventory, classification/labeling, policy enforcement, retention/deletion, access governance, and audit evidence).
  3. Translate regulatory, policy, and risk requirements into engineering roadmaps, clear problem statements, and measurable success metrics that balance speed with trust, safety, and compliance.
  4. Partner closely with security, legal, compliance, privacy, and product teams to design solutions that are production-ready, scalable, and repeatable—not one-off processes.
  5. Drive execution across multiple systems and teams in a highly matrixed environment, influencing roadmaps and priorities without direct authority.

Skills

Required

  • Bachelor's Degree AND 15+ years of experience in software engineering, including 6+ years leading engineering teams.
  • Experience building and operating distributed systems or platform services, including on-call/operational ownership.
  • Experience partnering with security, privacy, and/or compliance stakeholders in regulated or risk-managed environments.
  • Experience building and shipping privacy, security, or governance platforms (e.g., data inventory/classification, retention/deletion, access governance, DSR/subject-rights workflows, or policy enforcement services).
  • Demonstrated ability to automate controls and evidence collection for audit readiness, and to partner effectively through assessments and compliance reviews.
  • Proven experience working across multiple teams and systems to deliver outcomes in complex, highly matrixed organizations.
  • Ability to lead ambiguous problem spaces, turning strategy and research into concrete, actionable product and engineering investments.
  • Strong technical judgment and architecture skills across cloud services, data systems, and security fundamentals (identity, access, encryption, logging, and least privilege).
  • Excellent communication and stakeholder management skills, with the ability to align diverse partners around shared goals, tradeoffs, and success metrics.
  • Familiarity with privacy engineering concepts and global regulatory drivers (e.g., GDPR, CCPA) and how they map to technical controls and product requirements.

What the JD emphasized

  • privacy and governance capabilities
  • data discovery and inventory
  • classification/labeling
  • policy enforcement
  • retention/deletion
  • access governance
  • audit evidence
  • regulatory requirements
  • compliance obligations
  • global regulations
  • EU AI Act