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We are looking for an outstanding Software Engineer to join the Microsoft Discovery team and work on an exciting new AI-driven platform that will transform the scientific research process. Microsoft Discovery is a cutting-edge enterprise platform that uses AI agents and high-performance computing to accelerate research and development (R&D) in science and engineering. Microsoft Discovery is already driving breakthroughs in collaboration with partners across industries like chemistry and materials, energy, manufacturing, and pharmaceuticals, showcasing its potential to solve real-world challenges through AI-powered discovery. We innovate quickly, learn from data and experience, think creatively, and aren’t afraid to laugh and have fun – all while tackling challenging customer and partner problems. You will be part of a startup-like environment within Microsoft, joining a highly motivated team that enjoys tough challenges and rapid development iterations. We collaborate closely with key platform teams across Microsoft and Microsoft Research to design, build, and operate the Discovery platform and related products.
Job Responsibility:
Architect and build scalable, distributed systems from the ground up
Drive features from ideation to global rollout
Mentor engineers and lead design/code reviews
Improve engineering velocity and service reliability through adoption of AI-enabled process enhancements
Collaborate across Microsoft Research and platform teams to integrate cutting-edge technologies
Apply site-reliability engineering practices to ensure robust operations
Requirements:
5+ years of experience in commercial software development
Bachelor's degree in Computer Science or related field
General awareness of building AI-powered services and multi-agent systems
Proven experience building and operating reliable distributed systems
Nice to have:
Experience with cloud platforms and enterprise-scale services
Experience with widely-used scientific tools in chemistry, physics and bio sciences
Strong problem-solving skills and a bias for action
Passion for scientific innovation and cross-disciplinary collaboration