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Senior Software Engineer
Overview Overview
We are looking for an outstanding Sr. 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.
Responsibilities Responsibilities
As a Sr. Software Engineer, you will:
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Architect and build scalable, distributed systems from the ground up.
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Drive features from ideation to global rollout.
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Mentor engineers and lead design/code reviews.
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Improve engineering velocity and service reliability through adoption of AI-enabled process enhancements.
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Collaborate across Microsoft Research and platform teams to integrate cutting-edge technologies.
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Apply site-reliability engineering practices to ensure robust operations.
Qualifications Qualifications
Required:
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7+ years of experience in commercial software development.
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Bachelor's degree in Computer Science or related field.
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General awareness of building AI-powered services and multi-agent systems.
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Proven experience building and operating reliable distributed systems.
Preferred:
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Experience with cloud platforms and enterprise-scale services.
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Experience with widely-used scientific tools in chemistry, physics and bio sciences.
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Strong problem-solving skills and a bias for action.
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Passion for scientific innovation and cross-disciplinary collaboration.
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Advanced degree (MS/PhD) is a plus.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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About Microsoft

Microsoft
PublicMicrosoft Corporation is an American multinational technology conglomerate headquartered in Redmond, Washington.
10,001+
Employees
Redmond
Headquarters
$3000B
Valuation
Reviews
10 reviews
4.4
10 reviews
Work-life balance
3.2
Compensation
4.1
Culture
4.3
Career
3.8
Management
4.0
82%
Recommend to a friend
Pros
Cutting-edge technology and innovative projects
Great team culture and collaborative atmosphere
Excellent benefits and competitive compensation
Cons
Heavy workload and frequent overtime
High expectations and stressful environment
Bureaucratic processes can be slow
Salary Ranges
5,620 data points
Senior/L5
Senior/L5 · Account Management
5 reports
$209,483
total per year
Base
$181,941
Stock
-
Bonus
-
$194,895
$209,483
Interview experience
1 interviews
Difficulty
4.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 0%
Negative 100%
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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