Success in this role will be measured by durable organization-level outcomes: faster developer onboarding and delivery, increased adoption of platform capabilities, improved engineering health, reduced operational risk, and stronger technical practices that enable teams to move quickly and safely.
Responsibilities
Lead the principled adoption and continuous improvement of AI tools and Responsible AI practices across the software development lifecycle. Establish accountability for AI-generated assets, define scalable processes and tools, use engineering health metrics to measure progress, and share learnings across the organization.
Set technical direction for production services and improve engineering quality through automation, analysis, debugging, telemetry, and retrospectives. Strengthen diagnosability, incident prevention, secure and privacy-preserving operations, least-privilege practices, and code quality.
Raise the technical and engineering bar across the organization by defining and modeling principled practices, mentoring technical leaders, and creating reusable mechanisms that help teams improve quality, velocity, and operational discipline at scale.
Build an inclusive and safe engineering culture where people have the clarity, autonomy, and accountability to do their best work. Model constructive technical debate, encourage learning from outcomes, and create space for others to lead.
Create clarity as goals, customer needs, technologies, and constraints evolve. Reframe ambiguous problems, communicate changes in direction, and help teams learn, adapt, and maintain momentum through shifting priorities.
Lead cross-group planning and execution by translating long-term vision and ambiguous problems into clear decisions, milestones, and measurable outcomes. Drive estimation and capacity planning, negotiate scope and technical tradeoffs, resolve blockers, and adjust execution as goals and constraints change.
Balance delivery speed with security, privacy, compliance, reliability, and operational readiness. Establish disciplined practices for validation, flighting, rollback, incident response, and disaster recovery, and use operational evidence to reduce risk.
Partner with internal and external developers, customers, and stakeholders to validate requirements, technical feasibility, and product outcomes. Translate qualitative feedback, usage data, and success metrics into prioritized improvements, including accessibility, globalization, security, and privacy requirements.
Influence technical strategy and product direction across teams without relying on formal authority. Build shared understanding among developers, technical leaders, product partners, and stakeholders, surface disagreements early, and secure commitment to cohesive, enterprise-ready experiences.
Qualifications
Required Qualifications
Bachelor’s Degree in Computer Science, Engineering, or related field AND 4+ years of technical engineering experience building and operating cloud services OR equivalent experience.
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.
Preferred Qualifications
4+ years of technical leadership and architecture at the product scope.
Experience owning end-to-end customer and developer experiences across one or more product surfaces including defining requirements and driving delivery.
Experience with distributed systems and engineering systems.
Experience designing and delivering secure services, including identity/access patterns and privacy/compliance considerations.
Lead AI-assisted engineering tools to improve SDLC quality and velocity, including responsible use of AI-generated assets for a organization.
Strong customer empathy with a track record of using qualitative and quantitative feedback to iterate product experiences.
Highly effective at creating significant impact within intricate codebases and large organizations.
Experience building AI-powered product capabilities and/or search, retrieval, or data/knowledge services at scale.
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
- Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
- https://careers.microsoft.com/us/en/us-corporate-pay
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
- Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
- https://careers.microsoft.com/us/en/us-corporate-pay
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.
