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About the Role
You'll join the platform organization we're building for Bioptimus's next phase of scale, owning the self-service and data surface: the storage architecture and the tooling that let engineers and researchers find, access, and process large multimodal datasets safely and on their own. This is a hands-on, product-minded platform role focused on enabling others to work with data effectively through infrastructure, paved roads, and services. You will bring strong opinions on reusable capabilities versus one-off solutions and build guardrails that keep people safe without slowing them down. You'll work cloud-first (AWS) and partner with research to support their scale.
Responsibilities
- Own the data & storage self-service layer, including provisioning, access, and lifecycle, exposed as self-serve.
- Build platform services and paved roads for self-serve data access and processing, reducing the need for routine ticket filings.
- Work with object stores (e.g., S3) and modern storage formats (e.g., Parquet, Delta, Iceberg), designing sensible, reproducible data workflows.
- Contribute to IaC and CI/CD using Terraform/IaC and pipelines for reproducible data platform deployment.
- Engineer security into the data layer by implementing access control, data classification, and least-privilege access in code.
- Apply a product lens to decide what graduates into the platform versus what remains an experiment.
Requirements
- Production platform or infrastructure experience (typically 3–5+ years) with a high degree of ownership.
- Proficiency in Infrastructure-as-Code (Terraform).
- Hands-on experience with Kubernetes/Helm and containers.
- Solid working knowledge of object stores, Relational databases, and modern storage formats.
- Familiarity with data orchestration tooling (Dagster, Airflow, Prefect).
- Solid software engineering skills in Python (or a comparable language).
- Security-aware engineering practices, implementing access control and least-privilege in code.
- A platform-as-a-product mindset, building self-serve capabilities that users want to adopt.
Skills
- Terraform
- Kubernetes
- Helm
- Containers
- Object stores
- Relational databases
- Modern storage formats
- Data orchestration tooling
- Python
- AWS data and ML services
- Biological/medical data standards (DICOM, FHIR, omics, whole-slide images)
- High-throughput / parallel storage for GPU training (WEKA, VAST, CEPH)
Location
- Remote
- Paris
Work Type
- Remote
- Full-time
Experience Level
- 3-5+ years
Benefits
- Competitive salary
- Meaningful equity
- Flexible/remote-friendly working
- Significant room for growth
About the Company
- Bioptimus is building the first universal AI foundation model for biology to fuel breakthrough discoveries and accelerate innovation in biomedicine.
- With more than $75M in funding, Bioptimus is a fast-growing start-up headquartered in Paris, incorporated in October 2023.
- Backed by leading international venture capitalists, our world-class team of scientists and engineers is redefining the frontiers of AI and life sciences.
- Foundation models for biology are only as good as the data platform underneath them. Massive, multimodal biological datasets have to be stored well, governed carefully, and made genuinely self-serviceable so researchers can move without waiting on infrastructure.
Equal Opportunity
- We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, or disability status.
- Decisions related to hiring are made fairly, and we provide equal employment opportunities to all qualified candidates.
- We strive to create an inclusive environment that makes every employee and candidate feel welcome.