Overview
The Trusted Servicing Experiences / Supportability & Customer-Centric Engagement and Engineering Direct Team is seeking a Principal Software Engineer to own the architecture for secure, enterprise-scale platforms spanning supportability, customer-centric engineering, escalation intelligence, and operational analytics.
You’ll set the technical direction across interconnected software, data, and agentic Artificial Intelligence AI systems—building AI harnesses and sandbox environments, architecting distributed backend services, and creating reusable AI capabilities. Operating with broad autonomy, you’ll align multiple teams and establish durable foundations for security, privacy, scale, and enterprise adoption.
At Microsoft, our mission—to empower every person and every organization on the planet to achieve more—guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress—people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.
Responsibilities
- Lead adoption of AI-native engineering practices in SDLC, including Responsible AI controls for AI-generated design/code artifacts and workflow automation.
- Influence strategic prioritization with data-driven recommendations, KPI frameworks, and experimentation-informed decisions.
- Define and own end-to-end architecture for software and data platforms supporting engineering health, supportability, customer escalation, and operational intelligence.
- Lead architecture and design reviews for complex, distributed services and data systems, including tradeoff decisions across scalability, resiliency, performance, security, privacy, and cost.
- Establish architecture patterns, standards, and guardrails for code quality, testing strategy, observability, deployment safety, and dependency management across teams.
- Architect and govern data foundations including data models, schemas, lineage, contracts, semantic layers, quality controls, and governance mechanisms.
- Drive telemetry-first engineering: instrumentation, monitoring, anomaly detection, root-cause workflows, and incident prevention practices.
- Lead live-site reliability strategy, including Direct Responsible Individual DRI readiness, service health indicators, failure mode analysis, postmortems, and continuous reliability improvements.
- Partner with product management, engineering, support/escalation, and leadership stakeholders to translate ambiguous business needs into clear architecture roadmaps and milestones.
- Lead cross-team dependency planning and execution; negotiate ownership boundaries and align partner teams to shared delivery outcomes.
- Ensure compliance and auditability by embedding secure-by-design, least-privilege, data handling controls, and regulatory requirements into architecture and operations.
- Mentor senior engineers and t
