14 hours ago
Base Salary
$143k - $304k/yr
Responsibilities
- Define the technical vision, architecture, and roadmap for AI-native engineering workflows and platform capabilities.
- Analyze software development workflows and identify opportunities for agents, automation, and shared engineering capabilities.
- Design, prototype, and build production-grade agent-driven workflows, services, and tools spanning planning, implementation, testing, review, deployment, operations, and learning.
- Establish engineering standards, interfaces, design documents, and reusable implementation patterns for other teams.
- Evaluate AI development tools, models, and platforms for reliability, security, quality, cost, performance, and human oversight.
- Lead technical incubation from testable hypothesis through production adoption, scaling, redirection, or discontinuation based on measurable results.
- Identify and evolve common foundations and platform capabilities, then help scale and operate them.
- Own operational readiness, observability, security, reliability, performance, cost, incident response, and continuous improvement for production capabilities.
- Influence technical direction across engineering organizations, resolve dependencies, align stakeholders, mentor engineers, and improve engineering practices.
Requirements
- Bachelor's degree in Computer Science or a related technical field and 6+ years of technical engineering experience coding in languages including C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
- Bachelor's degree and 10+ years of technical engineering experience, or a master's degree and 8+ years of technical engineering experience, or equivalent experience is preferred.
- Proven success leading the architecture and delivery of complex production systems or developer platforms across multiple teams and technical domains.
- Hands-on experience using generative AI models, coding agents, and engineering platforms to build production software, including judgment about evaluation, reliability, security, and human oversight.
- Experience improving engineering execution at organizational scale through developer workflows, engineering systems, operating practices, or developer experience with measurable outcomes.
- Deep technical expertise in areas such as cloud platforms, distributed systems, developer tooling, identity and security, observability, CI/CD, testing infrastructure, or safe deployment.
- Experience building and operating developer products, AI-enabled engineering workflows, internal developer platforms, paved roads, developer tooling, or cloud infrastructure in complex brownfield environments.
- Ability to lead through ambiguity, make architecture and engineering tradeoffs, take capabilities from 0-to-1 through production operation, align senior stakeholders, mentor engineers, and drive change without direct authority.
Benefits
- Typical U.S. base pay range is USD $142,800-$274,800 per year; a separate San Francisco Bay Area and New York City metropolitan area range is USD $188,000-$304,200 per year.
- Certain roles may be eligible for benefits and other compensation.
- The position will remain open for a minimum of 5 days and accept applications on an ongoing basis until filled.
Tech Stack
Categories
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.