Platform Engineer – Self-Service Data Platform

🕒 July 30

🇫🇷 France – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 23%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Bioptimus

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2024

🤖 Artificial Intelligence

🧬 Biotechnology

⚕️ Healthcare Insurance

💰 $35M Seed Round on 2024-02

Artificial Intelligence • Biotechnology • Healthcare Insurance

Bioptimus is on a mission to build the first universal AI foundation model for biology, aimed at fueling breakthrough discoveries and accelerating innovations in biomedicine and beyond. The company seeks to transform the biological sciences through advanced artificial intelligence technologies.

📋 Description

• Own the data & storage self-service layer • Build and maintain the storage architecture and access tooling for large, multimodal biological datasets — provisioning, access, and lifecycle, exposed as self-serve • Build platform services that abstract complexity • Create the internal services and paved roads that promote self-serve data access and processing, so researchers and engineers don't file tickets for routine work • Work fluently with object stores (e.g., S3) and modern storage formats (e.g., Parquet, Delta, Iceberg); design sensible, reproducible data workflows where the platform needs them • Extend the team's Terraform/IaC and pipelines so the data platform is reproducible and deployed like the rest of the platform • Implement access control, data classification, and least-privilege access in code • Decide, with the rest of the platform team, what graduates into the platform versus what stays an experiment

🎯 Requirements

• Production platform or infrastructure experience (typically 3–5+ years) • Proficiency in Infrastructure-as-Code — Terraform — and hands-on with Kubernetes/Helm and containers • Data-platform capability — solid working knowledge of object stores, Relational databases and modern storage formats, and the data workflows teams build on top of them • Data/Workflow orchestration - Familiarity with data orchestration tooling (Dagster, Airflow, Prefect) • Solid software engineering — Python (or a comparable language suitable for data and platform work), with sound engineering practices • Security-aware engineering — you implement access control and least-privilege in code, not as an afterthought • A platform-as-a-product mindset — you build self-serve capabilities that people want to use, and you enable rather than block

🏖️ Benefits

• Competitive salary • Meaningful equity • Flexible/remote-friendly working • Significant room for growth