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# Senior Platform Engineer

- **Company:** Basecamp Research
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Bioinformatics, Linux, Python (Programming Language), PostgreSQL, Machine Learning, Ansible, TCP/IP, Datadog, Graphics Processing Unit (GPU), Cloud Platform System, Deep Learning, Gitlab, Kubernetes, Vertica, Terraform
- **Published:** September 10, 2026
- **Apply:** https://www.collegerecruiter.com/job/2840612498-senior-platform-engineer

## About the Role

* Own and operate our on-premise and cloud environments, in particular our Kubernetes clusters (security, monitoring, upgrades and automation)
 * Deep knowledge of Linux and container based systems and how they work (namespaces, CNI, networking etc.)
 * Experience operating clusters of NVIDIA GPUs and complex networking configurations (IB, High-speed fabrics, multiple CNIs etc.)
 * Ability to work across the stack to troubleshoot and diagnose problems (from application logs down to TCP/IP)
 * Experience working with Deep Learning workloads, training models, serving models through inference platforms and optimising hardware and systems for models.
 * Fluency of at least one coding language (Python, Go or similar) with experience of building and deploying applications on top of Kubernetes.
 * Passion for automating manual and repetitive tasks (configuration, patching, etc.) using Terraform, Ansible or similar
 * Curiosity about biotechnology and working with enormous biological datasets and systems
 * At least 4 years of experience in industry working with the above tools and technologies.

Nice to have

 * Experience with other parts of our tech stack (Clickhouse, Postgres, Datadog, Dagster, Temporal, AWS, Gitlab and RunAI)
 * Any domain knowledge within Life Sciences and Biotech/Techbio, specifically around high throughput sequencing, ML models, and bioinformatics.

## Description

We are looking for an experienced Platform Engineer to join the team. The role will be full-time, based physically in our central London office.

As a Senior Platform Engineer, you'll own our hybrid Kubernetes fleet (on-prem + AWS) and build the self-service infrastructure that empowers biologists and ML engineers to work more effectively. You'll report to the Platform Engineering Lead, drive security and reliability improvements, and architect new tooling to streamline operations.

You will be working alongside leading data scientists, bioinformaticians, and ML scientists, to build the largest and most diverse metagenomic dataset known to the industry. You will be instrumental in building and scaling our infrastructure to leverage our data asset for next generation therapeutics, deep learning models, and some of the industries toughest biotechnology challenges.


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