3 days ago
Mountain View, CA, USAStaff+
Base Salary
$143k - $304k/yr
Responsibilities
- Write, review, debug, and prototype critical production software and complex architectures.
- Mentor engineers through code and design reviews, pairing, technical talks, and communities of practice.
- Define and drive adoption of coding, testing, CI/CD, observability, secure development, Responsible AI, and AI-assisted coding standards.
- Understand and modernize mature and legacy codebases using incremental refactoring, architectural seams, characterization tests, and managed migrations.
- Build developer tools, automation, templates, analyzers, and AI-assisted agents for code comprehension, testing, migration, refactoring, review, and release.
- Design and build scalable, resilient, secure, cost-effective services, APIs, orchestration layers, agent runtimes, retrieval systems, and evaluation frameworks.
- Diagnose cross-system issues involving concurrency, distributed state, dependencies, performance, data quality, and model behavior.
- Establish safe deployment, progressive exposure, rollback, recovery, monitoring, and end-to-end testing practices.
- Use telemetry, incident learnings, and quality indicators to improve engineering effectiveness, code health, reliability, and developer experience.
Requirements
- Bachelor's degree in Computer Science or a related technical field and 6+ years of technical engineering experience involving coding, or equivalent experience.
- Recent, substantial hands-on experience developing, testing, debugging, and operating production software.
- Experience modernizing large, mature, or legacy codebases while preserving compatibility and service availability.
- Experience defining engineering standards, mentoring engineers, building developer tools or engineering automation, and prototyping technically difficult solutions.
- Preferred qualifications include a master's degree with 8+ years of experience, or a bachelor's degree with 12+ years of experience, or equivalent experience.
- Extensive experience with large-scale server, cloud, or distributed systems and expertise in server architecture, distributed systems, concurrency, storage, networking, API design, or high-scale cloud services.
- Experience with production AI systems involving large language models, retrieval-augmented generation, agent orchestration, tool integration, model gateways, prompt management, or AI evaluation.
- Experience with production engineering practices, security, privacy, safety, accessibility, Responsible AI, data governance, incident response, and performance analysis.
- Ability to communicate complex technical concepts and influence engineering and business leaders across organizational boundaries.
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.