Data Infrastructure Architect
3 weeks ago
Microsoft Corporation is a global technology leader that empowers every person and organization on the planet to achieve more. Our mission is to make AI accessible to all, so everyone can realize its benefits.
As part of our AI efforts, we are seeking experienced Data Infrastructure Engineers to help build mission applications and platform components for our personal AI, Copilot systems.
Estimated Salary: $180,400 - $294,000 per year in New York City metropolitan area or USD $137,600 - $267,000 per year in the U.S.
Job Description
We are looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in distributed systems and a mastery of templating to architect solutions that stand the test of time. The Data Platform team is responsible for building core data pipelines that help fine tune models, support introspection and retrospection of data so that we can constantly evolve and improve human AI interactions.
Key Responsibilities
- Work on the delivery of high-quality service and components that will power the experiences across products.
- Help the team plan and execute technical deliverables.
- Stay current with the latest developments in technologies and bring innovative ideas and insights to the team.
- Participate in design and code reviews, and contribute to the development of a clean, well-documented codebase.
Requirements
- Bachelor's Degree in Computer Science, Mathematics or related technical discipline AND 6+ years technical engineering experience in running operational tasks for high volume, low latency data systems.
- OR equivalent experience.
- 6+ years of experience in data operations, ML operations role in developing automation and operational tasks.
- 4+ years' experience managing distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.
Bonus Requirements
- Experience operating, troubleshooting, and supporting high performance and business critical production systems.
- Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
- Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
Benefits
Making AI accessible to all; We aim to empower every person and organization on the planet to achieve more.
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