Engineering Lead

The role

As Engineering Lead for Compute, you'll lead the team of 4 software engineers who turn our scientists' research into production systems. Our physics and AI teams build simulations, ML models and workflows. Your team builds the backends that run them reliably and at scale, and orchestrates them efficiently.

This is a hands-on leadership role. You'll manage and grow the team, and you'll stay close to the code: reviewing it, shaping the architecture and shipping when it matters. You'll work closely with the scientists who use what you build, and you'll have direct exposure to senior leadership.

The team is part of a small engineering organisation of about 12 people. The team will grow, and you'll help hire for it.

Qualifications

• Strong expertise in engineering (software, distributed systems and compute platforms)

• Academic background: Bachelor’s or Master’s in Computer Science, Software Engineering, Distributed Systems, Cloud Computing or a related field, or equivalent experience

• Year of 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)

Skills

• 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

Why Join Us ?

At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast-growing company and team.

Expanding Drug Discovery Pipeline: Focused on critical therapeutic areas like Oncology, CNS, Immuno-inflammation... with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal.

World-Class Interdisciplinary Team: work alongside exceptional talent at the intersection of technology and life sciences. Our teams combine deep expertise in AI, physics-based modeling, biology, and medicinal chemistry to push the boundaries of innovation.

DeepTech Recognition: AQEMIA is proud to be part of the French Tech 40 and France 2030, highlighting our role as a key player in Europe’s DeepTech ecosystem.

Prime Location with Flexibility: Our offices are located in the heart of Paris and London (King’s Cross), with flexible work arrangements including up to two remote days per week.

Strong Financial Backing: $100M raised from leading European and International investors

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.