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About the Role
Microsoft Research AI for Science is seeking a motivated data and cloud engineer to join our density functional theory (DFT) team. The role focuses on building and operating cloud data pipelines for generating large quantum chemistry datasets, transforming quantum chemistry software into scalable cloud workflows, and managing the underlying cloud infrastructure to enable cutting-edge scientific research.
Responsibilities
- Work with domain experts to turn quantum chemistry software into large-scale cloud data generation pipelines.
- Organise, validate, and store large scientific datasets and make them efficiently available for ML and analysis.
- Build cloud infrastructure with containers, infrastructure as code, and CI/CD for repeatable deployments.
- Ensure reliability, security, and efficiency through observability, incident response, and capacity planning.
Requirements
- MSc in computer science, mathematics, physics, chemistry, or a related area.
- Solid Python software engineering.
- Experience building and operating large-scale, distributed, fault-tolerant systems and data pipelines.
- Hands-on experience with Azure (preferred) or another major cloud, including containers and orchestration, infrastructure as code, and CI/CD.
- Experience with agentic software development.
- Ability to work in an interdisciplinary collaborative environment, through effective communication of technical concepts to non-experts from different technical backgrounds.
- Prior experience supporting large-scale computing environments used for scientific research.
- Experience with large-scale data generation or acquisition for machine learning.
- Familiarity with quantum chemistry or other scientific simulation software.
- Experience with data storage, backup and recovery, and cloud security.
Skills
- Python
- Cloud Engineering
- Azure
- Containers
- Orchestration
- Infrastructure as Code
- CI/CD
- Agentic Software Development
- Data Pipelines
- Data Storage
- Backup and Recovery
- Cloud Security
Location
- Amsterdam, NL
- London, UK
- Cambridge, UK
- Berlin, DE
Work Type
- Full-time
Experience Level
- Data Engineering IC4
Education Level
- MSc
Salary/Compensations
- Germany: € 90,100.00 - € 152,500.00 per year
- Netherlands: € 78,800.00 - € 133,300.00 per year
- United Kingdom: £ 74,700.00 - £ 122,600.00 per year
Benefits
- Certain roles may be eligible for benefits and other compensation.
About the Company
- At Microsoft Research AI for Science we believe deep learning has the potential to transform scientific modelling and discovery crucial for solving the most pressing problems facing society, including sustainable materials and discovery of new drugs.
Equal Opportunity
- 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.