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# Platform Engineer

- **Company:** Helical Bar Plc
- **Location:** London, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Build Automation, Microsoft Azure, Bash Shell, Cloud Computing, Databases, Continuous Integration, Software Debugging, DevOps, Python (Programming Language), Machine Learning, Prometheus, Grafana, Backend, Kubernetes, Docker
- **Published:** July 7, 2026
- **Apply:** https://www.totaljobs.com/job/platform-engineer/helical-bar-plc-job107648332

## About the Role

* 3+ years in platform / DevOps / infra
 * Strong Kubernetes, Docker, cloud (AWS/GCP/Azure)
 * Solid Python
 * Experience with CI/CD, databases, infra-as-code
 * Comfortable debugging production systems
 * High ownership, low ego

Nice to Have

 * GPU workloads / ML infra
 * Observability tools (Prometheus, Grafana, etc.)
 * Security/compliance (SOC2, HIPAA)
 * Biotech / pharma experience

## Description

We turn biological foundation models into production systems for discovery-so scientists can run experiments in silico at the speed of inference.

We're already deployed with top pharma, supporting work from target identification to biomarker discovery.

The Role

We're hiring a Platform Engineer to build and scale the infrastructure behind our virtual AI lab.

This is a hands-on role:
debugging Kubernetes one moment, improving architecture the next, shipping to production throughout.

You'll be working on the system that makes AI-driven drug discovery actually usable at scale.

What You'll Do

 * Run and scale Kubernetes (incl. GPU workloads)
 * Own cloud infrastructure and infra-as-code
 * Support ML training & inference pipelines
 * Manage CI/CD, observability, and deployments
 * Handle databases, storage, and migrations
 * Build automation (Python/Bash)
 * Work closely with ML, backend, and product


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