Engineering Manager, Aqemia

• 8+ years of experience in Software Engineering, including experience building production systems at scale
• Previous experience leading engineering teams as an Engineering Manager or Tech Lead with people management responsibilities
• Strong experience delivering distributed systems, cloud-native applications or compute-intensive platforms
• Solid software engineering background with hands-on experience in Python and modern backend development
• Experience working with AWS, Kubernetes, PostgreSQL, Snowflake and modern cloud infrastructure
• Strong understanding of software architecture, scalability, observability and operational excellence
• Experience leading roadmap execution and coordinating cross-functional engineering initiatives
• Excellent communication skills with the ability to influence across engineering, scientific and business stakeholders
• Strong coaching mindset with a passion for developing engineers and building high-performing teams
• Pragmatic approach to balancing delivery, technical excellence and organizational priorities
• Experience with workflow orchestration systems and developer platforms

Desirable

• AQEMIA brings together a diverse, multidisciplinary team of 80+ professionals based in Paris and London. Our scientists and engineers, including chemists, physicists, machine learning experts, and software engineers, work side by side to push the boundaries of early-stage drug discovery
• This close collaboration across disciplines is central to our approach, enabling us to tackle complex scientific challenges from first principles and translate cutting-edge ideas into novel therapeutic candidates. At AQEMIA, team members are encouraged to contribute their expertise, learn from one another, and play an active role in shaping the future of drug invention
• The Engineering team (~12 people) builds and scales the technical foundations that power Aqemia’s drug discovery engine
• Bringing together expertise across software engineering, cloud infrastructure, data engineering, site reliability engineering (SRE), and scientific computing, the team designs and operates robust, secure, and high-performance platforms that enable Aqemia’s scientific and AI teams to experiment, train, deploy, and run models at scale
• Their work spans data infrastructure, scientific compute systems, cloud operations, orchestration, observability, CI/CD, developer tooling, and platform scalability. By transforming cutting-edge research into reliable and scalable systems, the team accelerates the discovery of new medicines while ensuring operational excellence and an outstanding developer experience
• As Engineering Manager of the Compute team, you will lead a team of 5 engineers responsible for building and evolving the compute platform that powers AQEMIA's scientific simulations, machine learning workloads, and large-scale experimentation. You will combine strong engineering leadership with technical credibility to grow a high-performing team while delivering reliable and scalable platform capabilities
• Lead, coach and develop a team of Software Engineers through regular feedback, career development and mentoring
• Foster a collaborative, inclusive and high-performing engineering culture built on ownership, trust and continuous improvement
• Recruit, onboard and retain exceptional engineering talent
• Help engineers grow both technically and professionally while creating clear development paths
• Partner with Product, Staff Engineers and Engineering Leadership to define priorities and execute the Compute roadmap
• Drive predictable delivery of platform initiatives supporting scientific computing, AI workloads and internal developer platforms
• Balance new capabilities, operational excellence and technical debt reduction
• Identify and proactively manage delivery risks, dependencies and execution challenges
• Drive high engineering standards across architecture, testing, observability, reliability and maintainability
• Improve the scalability, resilience and performance of production systems supporting research and platform teams
• Promote modern engineering practices including automation, CI/CD, Infrastructure as Code and AI-assisted software development
• Continuously improve engineering processes, team effectiveness and operational maturity
• Collaborate closely with Platform, Data, AI and Scientific teams to translate research needs into scalable engineering solutions
• Facilitate communication between technical and non-technical stakeholders
• Ensure engineering execution remains aligned with AQEMIA's scientific objectives and business priorities
• Support cross-functional planning, architecture discussions and technical decision-making
• Partner with Engineering Leadership on organizational planning, hiring strategy and team evolution
• Help define engineering standards, operating principles and best practices across the organization
• Contribute to long-term platform strategy and engineering scalability
• Foster knowledge sharing, technical excellence and continuous learning across teams

• Talent Acquisition Interview (30 min)
• Hiring Manager Interview with Max, CEO (60 min)
• Technical Assessment, with 2 members of Compute team (90 min)
• Stakeholder Interview with 2 members of Engineering department (60 min)
• VP Interview with Nicolas, VP Platform (60 min)
• Culture Fit Interview with Emmanuelle, Co-founder & COO (45 min)