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Principal Software Engineer

United States, Washington, Redmond💼 Full-time💰 $142,800–$142,800🗓 2026-07-21 → 2026-07-31

Core

Define and own long-term technical strategy for service-to-service authentication, drive platform-level engineering fundamentals, and lead innovation in AI-driven tools and agents.

Role type

Principal Software Engineer (Platform & AI Strategy)

Builds

High-scale distributed cloud services, authentication systems, AI agents, and developer experience frameworks.

Domain

Cloud Infrastructure, Distributed Systems, Generative AI, Machine Learning

Deliverable

production ML models | infrastructure | product features

Required skills

Distributed systems architecture, AI strategy & adoption, SDK/client-side framework design, performance engineering, technical leadership, cross-functional collaboration, production incident management, trade-off analysis, system resilience design.

Preferred skills

Generative AI and ML domain expertise, experience with C/C++/C#/Java/JavaScript/Python, on-call experience for high-severity events.

Technologies

C, C++, C#, Java, JavaScript, Python

Responsibilities

Align technical vision with organizational goals, drive consensus across engineering teams and partners, mentor teams on security and resilience, shape investment priorities for platform risks, guide AI tool adoption and agent delivery, manage live site excellence and post-mortems, design high-scale distributed features, build SDKs and client frameworks.

Seniority

Principal, strategy & hands-on IC

Rewrite
## About the role - 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 ## 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. - 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 - 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. ## What we offer - 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.
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