The SRE - Platform Engineer will enhance infrastructure, ensure uptime, optimize workflows, and collaborate cross-functionally to support drug discovery. Responsibilities include automating provisioning, managing containerized environments, and improving system performance.
About Aqemia
Aqemia is a next-generation pharmatech reinventing drug discovery with quantum-inspired physics and generative AI.
Our mission: design innovative small-molecule drug candidates for dozens of critical diseases, faster and smarter, without relying on experimental data.
Unlike traditional approaches, Aqemia starts drug discovery purely in silico. By combining physics-based models with large language models trained on proprietary data, we identify promising molecules with high accuracy before synthesis.
We’ve already delivered multiple preclinical successes and secured strategic partnership. Our internal pipeline is growing fast, with several programs in in vivo optimization.
We’re a team of 65+ based in Paris and London, we bring together chemists, physicists, engineers, and machine learning experts to push the boundaries of what’s possible in early-stage drug discovery.
The Role
As an SRE - Platform Engineer in the Infra Team, you will be at the heart of our platform, helping to build and maintain the tools, processes, and systems that power Aqemia's drug discovery engine.
You will contribute to the design and implementation of a scalable and resilient infrastructure, focusing on both enhancing the developer experience and ensuring the reliability, performance, and availability of our services. Your work is crucial for enabling our scientists, engineers, and AI models to develop, test, and deploy their work efficiently and without interruption.
In this key, cross-functional role, you will collaborate with multiple teams to improve our core infrastructure and promote engineering best practices.
What You’ll Do
- Design, implement, and maintain systems to ensure platform uptime, performance, and scalability
- Automate infrastructure provisioning and configuration with infrastructure-as-code tools
- Optimize build/test/deploy workflows for performance, reliability, and developer usability
- Participate to the technical roadmap definition with the team
- Define and improve SLOs, SLAs, monitoring, alerting, and incident response processes
- Collaborate with product stakeholders and engineering teams to build resilient, observable systems
- Manage containerized environments and orchestrators (Kubernetes) across multiple projects
- Participate to cross-functional discussions and translate business needs into infra priorities
- Ensure infrastructure security, scalability, and cost-efficiency
- Monitor and continuously improve system performance and deployment processes
What We’re Looking For
- 4+ years of experience in DevOps, platform engineering, or infrastructure automation
- Strong experience with CI/CD tools (e.g. Github Actions, ArgoCD)
- Proficiency in scripting (Python, Bash) and infrastructure-as-code (Terraform, Terragrunt…)
- Deep familiarity with Docker, Kubernetes, and cloud platforms (AWS preferred)
- Solid understanding of deployment strategies, secrets management, and system monitoring
- Ability to work autonomously and collaborate across diverse technical teams
Preferred Mindset
- You believe great DevOps = speed + reliability + simplicity
- You love making other engineers’ lives easier
- You care about clean automation and reducing manual overhead
- You enjoy working behind the scenes to support high-impact science
Why Join Us
At Aqemia, engineers don’t just build software, they help discover real drugs.You’ll work at the intersection of AI, physics and chemistry, transforming bold scientific ideas into robust, production-grade tools that accelerate discovery.
DeepTech Mission : Build the platform that powers AI-driven drug discovery, combining quantum-inspired physics with generative models
Real-World Impact : Every feature shipped helps scientists prioritize molecules and design better candidates, faster
Modern Stack & Challenges : Python, FastAPI, Airflow, Snowflake, Kubernetes, ML workflows, scientific infra, data engineering at scale
High Ownership, High Impact : Engineers contribute to architecture, tooling, and scientific decision-making
Interdisciplinary Team : Collaborate with chemists, physicists, ML researchers, and product teams
Prime Locations : Central Paris or London offices, with 2 remote days/week
Strategic Traction : Backed by $100M in funding and a $140M partnership with Sanofi
Join us if you’re excited to shape the future of AI-driven drug discovery, and want your code to change the course of real diseases.
Top Skills
Argocd
AWS
Bash
Docker
Github Actions
Kubernetes
Python
Terraform
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