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The service-to-service authentication team provides the backbone that secures all non-human communication at Microsoft, spanning both Microsoft-internal services and customer-owned workloads and authenticating and validating billions of transactions per hour across millions of enterprises. We build and operate services and experiences that power everything from core Azure infrastructure to critical customer workloads and AI agents. As a foundational dependency of the cloud and a prime target for sophisticated threat actors, we engineer every capability with an uncompromising focus on security, resilience, and reliability. We are evolving our operating model for the next era and are seeking an engineering leader to lead this transformation.
Job Responsibility
Lead, grow, and coach a diverse and inclusive team of engineers to thrive in the fast-changing world of AI
Set technical and product direction for the team, aligning engineering investments with customer needs and business priorities
Create clarity and accountability by establishing goals, decision-making mechanisms, and execution rhythms that help the team deliver with predictability and impact
Build a culture of ownership, inclusion, and continuous growth by setting high standards, building sustainable systems, and reinforcing learning through regular feedback and reflection
Model and coach the team in AI-first engineering practices grounded in software engineering fundamentals, driving up both speed of execution and product quality
Champion a customer-obsessed culture by guiding the team to turn customer and developer feedback into innovative platform improvements that address real-world needs
Establish clear ownership and operating mechanisms that ensure live site health, effective incident response, and continuous improvement
Requirements
Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
2+ years of experience as a people manager
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check
Master's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field 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
4+ years of experience as a people manager
5+ years of technical leadership in defining and building developer experiences and scalable systems, preferably in the Generative AI, Machine Learning domain
10+ years of experience shipping software products, product development expertise
Experience leading cross-functional engineering efforts across distributed teams
Experience delivering customer-facing software products or platform capabilities in production environments
Demonstrated proficiency around leveraging AI to build AI systems
Proven record of identifying challenges, making clear judgment calls on tradeoffs, and making systemic changes for lasting impact
Clarity in communication and ability to influence without authority when stakes are high