AqemiaPosted 1d ago

SRE

SRE at Aqemia scores 65 out of 100 on AI centrality, which makes it a Level 3 role on this board.

Parismid

AI in this role

Site Reliability Engineer supporting infrastructure and platforms for generative AI drug discovery systems.

kubernetesdockerawsterraform

ml-opssredevopscloud-infrastructureobservabilityci-cd

About AQEMIA

AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI, our proprietary molecule-invention platform, which uniquely combines cutting-edge science with advanced technology. Powered by physics-based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles. What makes AQEMIA different is our commitment to true innovation: our research is dedicated to the invention of new molecular entities, not the refinement of existing ones. We focus on inventing never-before-seen molecules, without relying on experimental data, and advancing them into a growing pipeline of proprietary programs and strategic partnerships with leading pharmaceutical companies. Our most advanced preclinical programs are currently in vivo optimization, targeting diseases still waiting for effective treatments, offering our teams the opportunity to work on science that can make a real difference in people’s lives. For more information, visit AQEMIA.com, our WTTJ Page, and our LinkedIn.

About our Team

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.

About our Engineering Department

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.

The role

As an SRE within our Core Engineering team, you’ll help operate and evolve Aqemia’s cloud platform end to end — from infrastructure-as-code and GitOps delivery to observability, security and FinOps.

The Core team owns the platform, and you’ll work to make it reliable, scalable, secure and easy to use. At Aqemia, nothing is deployed by hand and infrastructure changes flow through Git, so automation and reproducibility are central to how the team works.
The scale at Aqemia is different from a typical product company: bursty, large-scale parallel scientific computation, GPU fleets to plan and optimize, and some of the company's most valuable data to protect, all while keeping cost under control.

You’ll have the opportunity to contribute directly to architectural and tooling decisions, take ownership of meaningful parts of the platform, and work closely with the teams that depend on it every day. In a small Engineering organisation, improvements to the platform have a direct impact on how quickly our scientists and engineers can work.
As the platform evolves, from today's GitOps pipelines toward productionized MLOps and autonomous discovery workflows, you'll grow with it, taking on more scope rather than staying in a fixed lane.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Ml OpsSreDevopsCloud InfrastructureObservabilityCi CdKubernetesDocker

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
Tell me about a project where sre was part of your work. What did you do?
Tell me about a project where devops was part of your work. What did you do?
Tell me about a project where cloud infrastructure was part of your work. What did you do?
Tell me about a project where observability was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Ml Ops, Sre, Devops, Cloud Infrastructure, and Observability. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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