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About the Role
As Engineering Lead for Compute, you will lead a team of 4 software engineers responsible for transforming scientific research into production systems. You will manage and grow the team, contribute to code reviews, shape architecture, and ensure reliable and scalable execution of physics and AI team workflows. This is a hands-on leadership role with direct exposure to senior leadership.
Responsibilities
- Lead and grow a high-performing Compute team
- Coach and develop engineers through regular feedback and career development follow up
- Recruit, onboard and retain strong software engineering talent
- Enable Scientific and AI workloads at scale
- Plan and execute the Compute team's roadmap
- Put in production scientific and AI R&D workflows
- Drive scalability, reliability and performance while managing technical debt
- Contribute to Engineering strategy
- Strengthen collaboration across Compute, Platform, Data, AI, Scientific and Product teams
- Foster Engineering best practices across architecture, testing, observability and maintainability
Requirements
- Strong expertise in engineering (software, distributed systems and compute platforms)
- Bachelor’s or Master’s in Computer Science, Software Engineering, Distributed Systems, Cloud Computing or a related field, or equivalent experience
- 6+ years in software engineering, including building and running production systems at scale
- A first experience in a people management role with direct reports (hiring, 1:1s, performance reviews, career development)
- High level of ownership and autonomy
- Ability to translate theory into practical impact
- Strong communication skills with technical and non-technical stakeholders
- Hands-on Python and modern backend development, still current (writes or reviews production code today)
- Deploy and run production workloads on public cloud infrastructure and Kubernetes
- Has owned a technical roadmap and coordinated execution across teams
- Enjoys coaching, develops engineers and builds high-performing teams
- Pragmatic about trade-offs between delivery, technical quality and company priorities
Skills
- Python
- Modern backend development
- Public cloud infrastructure
- Kubernetes
- Technical roadmap ownership
- Team leadership
- Coaching engineers
- Building high-performing teams
- Pragmatism
Location
- Paris
- London
Work Type
- Flexible work arrangements
- Up to two remote days per week
Experience Level
- 6+ years in software engineering
- First experience in a people management role
Education Level
- Bachelor’s or Master’s in Computer Science, Software Engineering, Distributed Systems, Cloud Computing or a related field, or equivalent experience
Benefits
- Impact on changing drug discovery
- Shaping the direction of a fast-growing company and team
- Expanding Drug Discovery Pipeline
- Collaborations with top Pharma, including a $140M Sanofi deal
- World-Class Interdisciplinary Team
- DeepTech Recognition (French Tech 40 and France 2030)
- Prime Location with Flexibility
- Strong Financial Backing ($100M raised)
About the Company
- AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs.
- Our proprietary molecule-invention platform, QEMI, combines cutting-edge science with advanced technology, powered by physics-based modeling, statistical mechanics, and generative AI.
- We focus on inventing never-before-seen molecules from first principles, advancing them into a growing pipeline of proprietary programs and strategic partnerships.
- Our preclinical programs target diseases awaiting effective treatments, offering the opportunity to work on science that makes a real difference.
- AQEMIA brings together a diverse, multidisciplinary team of 80+ professionals based in Paris and London.
- The Engineering team builds and scales the technical foundations that power Aqemia’s drug discovery engine, spanning software engineering, cloud infrastructure, data engineering, SRE, and scientific computing.
- We are proud to be part of the French Tech 40 and France 2030, highlighting our role as a key player in Europe’s DeepTech ecosystem.
Equal Opportunity
- We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.