Hybrid working, Cambridge (preference) or London
We’re partnering exclusively with a fast-growing, venture-backed technology company operating at the intersection of healthcare and advanced data platforms. Their work supports global clinical research programmes, helping bring life‑changing treatments to patients faster.
With a strong presence in the UK and a multidisciplinary team spanning engineering, data science, and clinical expertise, they’re building scalable, cloud‑native systems that power complex, data‑driven workflows in a highly regulated environment.
The Role
As a DevOps Engineer, you’ll play a key role in designing, building, and maintaining the infrastructure behind a SaaS platform used by international clients. You’ll also contribute to the ongoing development of environments supporting data science and machine learning initiatives.
Working closely with engineering and research teams, you’ll help drive best practices across deployment, security, and system reliability, ensuring platforms are robust and scalable.
Key Responsibilities
- Build and maintain cloud infrastructure in AWS
- Manage Infrastructure as Code (Terraform / OpenTofu)
- Develop and maintain CI/CD pipelines and GitOps workflows
- Deploy and monitor applications across Kubernetes clusters
- Implement security best practices and ensure platform reliability
- Collaborate with internal teams to support infrastructure and deployment needs
What We’re Looking For
- 2+ years’ experience in a DevOps or Platform Engineering role
- Experience with AWS (including cost optimisation and monitoring)
- Solid Git experience and familiarity with GitOps practices
- Hands‑on experience with CI/CD pipelines
- Experience with monitoring/logging tools (e.g. Prometheus, Grafana, CloudWatch)
- Kubernetes experience in a production environment
- Experience with Infrastructure as Code at scale (Terraform/OpenTofu preferred)
- Ability to understand and work with application code (Python exposure beneficial)
- Exposure to machine learning infrastructure or MLOps tooling (e.g. MLflow)
- Experience working in regulated or validated environments
- Strong focus on writing clean, maintainable, production‑grade code
Why Apply?
- Work on meaningful technology with real‑world impact
- Opportunity to shape infrastructure in a scaling environment
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