SRE

Aqemia; Paris; Hybride; EUR 90 000 - 130 000; Plein temps

Résumé du poste

AQEMIA is seeking an experienced Site Reliability Engineer to operate and evolve our cloud platform end to end. You will own AWS infrastructure, implement infrastructure as code, and drive GitOps workflows to ensure reliability and scalability for our drug discovery engine.

You will collaborate with cross‑functional teams across data engineering, ML, and software, ensuring security best practices and cost‑effective operations while enabling researchers to run large‑scale experiments efficiently.

Qualifications

• 2–3+ years of post‑degree experience in platform engineering.
• Hands-on experience with AWS and infrastructure‑as‑code (Terraform/OpenTofu, Terragrunt).
• Strong production experience with Kubernetes and GitOps delivery (ArgoCD, Helm, Kustomize).

Responsabilités

• Own AWS infrastructure end to end, built and maintained as code with OpenTofu and Terragrunt.
• Operate and evolve Kubernetes workloads via GitOps (ArgoCD, Helm, Kustomize).
• Contribute to the platform's reliability practice: observability, incidents, and postmortems.
• Manage cloud cost and plan capacity for large GPU campaigns.
• Set and enforce security posture across the platform.
• Build internal tooling and CI/CD pipelines to reduce friction for engineering, ML and science teams.
• Shape platform architecture through technical reviews and sprint planning.

Connaissances

AWS

Infrastructure as Code

Terragrunt

OpenTofu

Kubernetes

GitOps

ArgoCD

Helm

Kustomize

CI/CD

Outils

Terraform

ArgoCD

Kubernetes

GitHub Actions

GitLab CI

Description du poste

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.

Responsibilities

• Own AWS infrastructure end to end, built and maintained as code with OpenTofu and Terragrunt - no manual changes, no exceptions
• Operate and evolve Kubernetes workloads via GitOps (ArgoCD, Helm, Kustomize), and drive adoption of standardized infrastructure patterns across teams
• Contribute to the platform's reliability practice: own observability (metrics, logs, alerting), respond to incidents, and run blameless postmortems through to completed action items
• Manage cloud cost as a shared responsibility - producing the monthly cost report, maintaining the cost allocation model, and partnering with teams to plan capacity ahead of large GPU compute campaigns
• Set and enforce security posture across the platform: patching, vulnerability follow‑up, and least‑privileged access management
• Build internal tooling and CI/CD pipelines that reduce friction for engineering, ML and scientific teams, and make the platform approachable to non‑infrastructure users
• Shape platform architecture and long‑term strategy through technical reviews and sprint planning, sharing knowledge across infrastructure and DevOps topics

Qualifications

• Strong platform/infrastructure engineering background, with 2-3+ years of experience post‑degree
• Deep hands‑on expertise in AWS and infrastructure‑as‑code (Terraform/OpenTofu, Terragrunt)
• Strong production experience with Kubernetes and GitOps delivery (ArgoCD, Helm, Kustomize)
• Experience building and maintaining CI/CD pipelines (GitHub Actions or GitLab)
• Experience with cloud security practices and least‑privileged access management

Nice‑to‑have

• MLOps experience - training/inference pipelines, model lifecycle, workflow orchestrators
• GPU capacity planning - autoscaling GPU fleets, spot strategies, quota management
• Exposure to AI‑driven or data‑intensive workflows
• Experience with another cloud provider beyond AWS (e.g. GCP)

Our Recruitment Process

• First discussion with our Talent Acquisition
• Hiring Manager’s interview: you’ll meet directly with your future manager
• Technical assessment of your skills in a deep‑dive interview with the team
• Cultural fit interview with our co‑founder and COO, Emmanuelle
• Final interview with our co‑founder and CEO, Maximillien

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 120 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.