DevOps Engineer

About us

Qureight’s mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster.

We’re looking for talented people who want their work to matter. With offices in Cambridge and London, you’ll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials

About the role

We maintain and operate a cloud infrastructure platform to support a SaaS software product that is used by our global customers to run clinical trials. We also maintain a Machine Learning experiment and development environment infrastructure. The DevOps Engineer will maintain and build on this infrastructure. They will work with internal teams to monitor and deploy production, development, and research environments at Qureight. The overall goal is to improve and maintain good practice and processes for deployment, security, and reliability at scale.

You will be responsible for working with:

• IaC (opentofu)
• Operate and maintain the cloud infrastructure deployed within our AWS environment
• Gitops deployments of software
• CI/CD pipelines
• Maintaining and monitoring Kubernetes clusters
• Security maintenance and best practice implementation
• Support internal teams with solutions for their deployment and infrastructure requirements

What we need...

• 2+ years of industry experience in applied DevOps
• Strong written and verbal communication skills
• Strong proficiency with Linux operating systems
• Experience of cloud providers (AWS preferred) including cost monitoring and management
• Expert Git skills
• Maintaining CI/CD pipelines
• Monitoring and logging frameworks (Cloudwatch/Cloudtrail, Prometheus, Grafana etc)
• Experience working with Kubernetes in a live production environment
• Experience of GitOps working methodology and deployment strategies in a live production environment
• Experience with IaC tooling at scale, terraform/opentofu preferred
• Ability to use scripting languages for complex operations, e.g. bash
• Understanding of software deployment and ability read and understand python code.

Even better if you have…

• Experience with Machine Learning model management e.g. model registries, packaging, and deployment
• Experience with Machine Learning model training infrastructure and logging (MLFlow preferred)
• Experience working with validated software platforms with strict versioned release cycles
• Experience producing maintainable, testable, documented, and production-grade code.

What can you expect from us

• A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and a contributory pension scheme
• 25 days annual leave, plus bank holidays and enhanced maternity leave
• A diverse work environment that brings together experts in many fields, including software engineering, devops, data science, machine learning, quality assurance, regulatory affairs, and clinical operations.

How to apply

Please upload a CV and covering letter by clicking 'Apply Now'. Your covering letter should explain why you are applying for the job and what skills and experience you can bring to the role. We review CVs as we receive them and interview as soon as we have applications that look like a good match (usually within one week). We do not use closing dates. So, please apply as soon as possible to avoid missing out on this role. We advertised this role on 17th April 2026.

If you have any queries, please contact [email protected]. Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity.

Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply – you may be a great fit, even if you don’t meet every qualification. We’d love to hear from you.

If you require any adjustments to the application or selection process, please let us know. We will be happy to support you.