18 hours ago
Mountain View, CA, USASenior / Staff+
H1B sponsor
Base Salary
$120k - $304k/yr
Responsibilities
- Own technical strategy and lead architecture discussions for broad or complex infrastructure requirements.
- Design, implement, and optimize large-scale distributed systems for performance, scalability, resiliency, security, privacy, compliance, and cost efficiency.
- Improve observability through metrics, logging, telemetry, and developer productivity tools.
- Create test strategies, incorporate security testing, improve test coverage, and address difficult-to-test areas.
- Diagnose production issues, conduct incident retrospectives, implement preventive actions, and automate production operations.
- Participate in and influence open-source projects and build reusable internal or open-source engineering tools.
- Collaborate across infrastructure and AI teams to improve the performance, efficiency, and reliability of large-scale AI workloads, including model inference.
- Drive ambiguous infrastructure initiatives from problem discovery through architecture, implementation, and production.
- Communicate with stakeholders, resolve cross-team dependencies, mentor engineers, and deliver software at scale.
Requirements
- Bachelor’s degree in Computer Science or a related technical field and 4+ years of technical engineering experience with coding, or equivalent experience.
- Coding experience in languages including C, C++, C#, Java, JavaScript, or Python.
- Ability to meet Microsoft Cloud Background Check and related security screening requirements upon hire or transfer and every two years thereafter.
- Preferred: master’s degree with 6+ years of experience, or bachelor’s degree with 8+ years of experience, or equivalent experience.
- Experience architecting, building, and operating large-scale distributed systems.
- Experience developing backend services, databases, data infrastructure, storage systems, streaming platforms, or network infrastructure.
- Experience with cloud platforms, container orchestration, or distributed data-processing technologies.
- Experience influencing open-source projects or participating in open-source project management and governance.
- Ability to independently navigate ambiguous technical challenges, define problems, evaluate architectural trade-offs, and deliver solutions.
- Familiarity with AI/ML infrastructure concepts such as model inference, GPU computing, model serving, or distributed training.
Benefits
- The role offers potential eligibility for benefits and other compensation.
- The position will remain open for at least five days, with applications accepted on an ongoing basis until filled.
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.