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Senior Cloud Data Engineer

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Hybrid

Senior Cloud Data Engineer

Singular: Building Brilliant Biotechs

Senior Cloud Data Engineer

Skills

Data EngineeringAWSKubernetes

1 month ago

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Important information


Contract type:

Permanent

Location:

Oxford, UK

Work mode:

Hybrid

Published on:

7 September 2026

What they need


Senior Cloud Data Engineer

AWS • Kubernetes • Data Platforms • Genomics • Oxford (Hybrid)

You are an experienced cloud engineer who loves building scalable infrastructure, solving complex technical challenges, and taking ownership of platforms that matter.

You want to work somewhere where your decisions directly influence scientific discovery, not just another software product.

THE COMPANY

We are working with an innovative biotechnology company combining genomics, computational biology, machine learning, and drug discovery to identify entirely new therapeutic targets hidden within the non-coding genome.

Working at the intersection of biology and technology, their computational platform underpins every stage of scientific decision-making. As their datasets continue to grow and their pipelines become increasingly sophisticated, they are now investing in a senior cloud engineering leader who can take ownership of the infrastructure that powers the business.

THE ROLE

Reporting to the Head of Software & Data Engineering, you will become a key technical owner across the companies AWS-based platform.

This is a broad, highly visible role spanning cloud engineering, platform architecture, DevOps, infrastructure-as-code, observability, cost optimisation and data engineering.

You'll work closely with software engineers, bioinformaticians and scientists to ensure the platform scales reliably as data volumes and computational complexity continue to grow.

KEY RESPONSIBILITIES

  • Own and evolve AWS cloud infrastructure
  • Manage and optimise Kubernetes (EKS) environments
  • Scale large genomics and biological data processing workloads
  • Partner with engineering, bioinformatics and discovery teams on platform requirements
  • Identify architectural improvements and implement scalable solutions

ABOUT YOU

You will likely bring a combination of:

  • Significant hands-on AWS experience in production environments
  • Expertise with Kubernetes and containerised workloads
  • Strong understanding of networking, IAM, security and cloud architecture
  • Biotechnology, genomics, healthcare or pharmaceutical experience

WHY JOIN?

Within your first 6-12 months you'll have genuine ownership over critical cloud infrastructure powering the scientific platform.

You'll influence architectural decisions, scalability, cost management and technology strategy while working alongside highly capable engineers and scientists.

LOGISTICS

  • Permanent
  • Hybrid working

If you're excited by cloud engineering, large-scale data, and the opportunity to make a direct impact on drug discovery, we'd love to hear from you. Apply now!

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