Senior Platform Engineer – Cloud, Developer Experience

🕒 July 30

🇫🇷 France – Remote

⏰ Full Time

🟠 Senior

☁️ Cloud 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 cloud foundation. Design, build, and own our AWS architecture and the Terraform/IaC that defines it — accounts, networking, identity, core services — as reproducible, reviewed, version-controlled infrastructure. • Build the self-service platform. Create the golden paths and internal developer-platform tooling that let engineers and researchers provision, deploy, and ship with minimal friction and sensible guardrails. • Own CI/CD and the deployment fabric. Build and maintain the pipelines and deployment substrate — including the path that gets our models and SDK into cloud and on-prem/customer environments reliably. • Engineer security and networking into the platform. Make security and a sound network a property of the paved road, not a checklist: IaC for access management and access control, secrets management, least-privilege defaults, network segmentation and private connectivity — so doing the right thing is the easy thing. • Set the standards. Create, influence, and review the architecture, standards, and processes the platform team works to; decide, with a product lens, what becomes platform versus what stays an experiment. • Make it observable and cost-aware. Build the metrics, alerting, and cost visibility that keep the platform reliable and economical as scale grows. • Support research at scale. Bring platform know-how to research workflows and help them self-serve — supporting scale, not owning research-infra execution.

🎯 Requirements

• Proficiency in AWS — hands-on production experience designing and running cloud infrastructure for real workloads. • Proficiency in Infrastructure-as-Code — Terraform in production (configuration-as-code such as Ansible a plus); you treat infrastructure as reviewed, reproducible software. • Proficiency in Kubernetes and containers — hands-on with container orchestration and the components around it. • Strong CI/CD and developer-experience instincts — GitHub Actions, ArgoCD/Flux or equivalent; you've built pipelines and internal tooling that other engineers depend on. • Security-engineering capability — you implement access control, secrets, and least-privilege in code, and reason about the security posture of what you build. • Strong networking — hands-on with cloud and hybrid networking (VPC design, segmentation, private connectivity, DNS, load balancing, ingress/egress control). • A platform-as-a-product mindset — you can tell what deserves to be a productized paved road versus a script, ship opinionated defaults, and enable teams rather than gate them. • Solid software engineering — Python, Go, or a comparable language, with sound engineering practices.

🏖️ Benefits

• Competitive salary and meaningful equity • Flexible/remote-friendly working • Significant room for growth at the intersection of AI and biology