Requirements

• MSc in computer science, mathematics, physics, chemistry, or a related area
• Solid Python software engineering skills
• 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, effectively communicating technical concepts to non-experts from different technical backgrounds

Nice to haves

• 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

What you'll be doing

• 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