Principal Software Engineer

Posted 12 Days Ago
Be an Early Applicant
Redmond, WA, USA
In-Office
143K-304K Annually
Senior level
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
The Role
Lead technical strategy and execution for service-to-service authentication; set architecture and quality standards; mentor engineers; drive platform reliability, performance, and security; adopt and guide AI tooling and agents for engineering productivity; own on-call/live-site excellence and post-mortems; coordinate across teams and stakeholders to deliver scalable cloud authentication services.
Summary Generated by Built In
Overview

 Team Description:
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.
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.
 #MSFTSecurity #Identity 


Responsibilities

 • Define and own the long term technical strategy for service to service authentication, aligning that vision with organizational goals and communicating it effectively to senior leadership and other stakeholders

 • Translate long term strategy into actionable shorter-term execution plans by driving technical and organizational consensus across multiple engineering teams, partner organizations, customers, and leadership, and ensuring successful delivery

 • Provide technical leadership and mentorship across teams delivering security and resilience critical capabilities, setting architectural direction and raising the bar on quality through design leadership, code reviews, and direct hands-on technical engagement and coding

• Own and drive engineering fundamentals at the platform level, shaping investment priorities and proactively identifying and addressing systemic risks related to performance, scale, resilience, testability, and security across the organization

• Lead innovation in the application of AI by defining strategy and guiding adoption of AI driven tools to improve engineering productivity, while also shaping and delivering AI agents that automate operational and engineering workflows at scale

 • Own live site excellence for the platform by serving as an oncall during high severity production events, and by engaging deeply in the pre-mortem and post-mortem processes to drive durable learnings and systemic fixes across multiple services



Qualifications

 Qualifications - Required: 

• 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.

Additional or preferred qualifications

• 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.

• 6+ years of experience designing and implementing features of high-scale distributed cloud services • 3+ years of experience as a technical lead, driving strategic decisions and delivering high-impact technical results

Preferred Requirements

• 3+ years of technical leadership in defining and building developer experiences and scalable systems, preferably in the Generative AI, Machine Learning domain.

• 2+ years of hands-on experience designing SDKs or client-side frameworks, with a deep interest in performance engineering, latency reduction, and efficient resource utilization.

• 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 and a passion to make this technology accessible to everyone

• Proven record of identifying challenges, making clear judgment calls on tradeoffs, and making systemic changes for lasting impact, while bringing value to customer quickly. • Clarity in communication and ability to influence without authority when stakes are high.

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 background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.


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.

Skills Required

  • Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • Ability to meet Microsoft, customer and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire and every two years.
  • Master's Degree in Computer Science and 10+ years technical engineering experience OR Bachelor's Degree and 12+ years technical engineering experience OR equivalent experience.
  • 6+ years of experience designing and implementing features of high-scale distributed cloud services.
  • 3+ years of experience as a technical lead, driving strategic technical decisions and delivering high-impact results.
  • 3+ years technical leadership in defining and building developer experiences and scalable systems, preferably in Generative AI / Machine Learning domains.
  • 2+ years hands-on experience designing SDKs or client-side frameworks with focus on performance and latency reduction.
  • Experience delivering customer-facing software products or platform capabilities in production environments.
  • Demonstrated proficiency leveraging AI to build AI systems and interest in making AI technology accessible.
  • Proven record of making clear tradeoff decisions and driving systemic changes for lasting impact; strong communication and influencing skills.

Microsoft Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.

  • Fair & Transparent Compensation Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
  • Retirement Support Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
  • Parental & Family Support Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.

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The Company
HQ: Redmond, WA
206,870 Employees
Year Founded: 1975

What We Do

At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.

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