DevOps engineer for clinical trials in London

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.

Responsibilities:

• Build and maintain our cloud infrastructure as code using IaC tooling
• Operate, upgrade and monitor our Kubernetes clusters across production, development and research environments
• Run GitOps-based deployments of our software and support release management for a validated platform with strict, versioned release cycles
• Build, maintain and improve CI/CD pipelines in GitLab
• Develop monitoring, logging and alerting, and take part in incident response and root cause analysis
• Carry out routine security maintenance and implement best practice, including patching, vulnerability remediation, secrets management and least-privilege access
• Monitor, report on and optimise cloud costs
• Support internal teams with solutions for their deployment and infrastructure requirements, including ML training and model deployment infrastructure
• Write and maintain technical documentation, runbooks and change records that support our GxP, 21 CFR Part 11 and ISO/IEC 27001 obligations

Requirements:

• 2+ years of industry experience in applied DevOps, platform or site reliability engineering
• Strong proficiency with Linux operating systems
• Hands-on experience with a major cloud provider (AWS preferred), including cost monitoring and management
• Experience working with Kubernetes in a live production environment
• Experience of GitOps working methods and deployment strategies in a live production environment
• Experience with infrastructure as code tooling at scale (Terraform or OpenTofu preferred)
• Experience building and maintaining CI/CD pipelines
• Experience with monitoring and logging frameworks such as CloudWatch, CloudTrail, Prometheus and Grafana
• Ability to use scripting languages such as Bash for complex operations, and to read and understand Python code
• Strong written and verbal communication skills, including writing clear technical documentation

Desirable:

• Experience with machine learning model management, e.g. model registries, packaging and deployment
• Experience with machine learning training infrastructure and experiment logging (MLflow preferred)
• Experience working with validated software platforms with strict versioned release cycles, or in other regulated environments e.g. GxP, 21 CFR Part 11, ISO/IEC 27001
• Experience producing maintainable, testable, documented, production-grade code
• Experience with container and cloud security tooling, e.g. image scanning, policy as code or secrets management
• Exposure to medical imaging (e.g. DICOM) or other healthcare data
• Relevant certifications, e.g. AWS Certified DevOps Engineer or Certified Kubernetes Administrator (CKA)

Conditions:

• We will also consider part-time applications for this role (minimum 0.8 FTE).
• A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, cycle-to-work scheme, and a contributory pension scheme
• Equity, so that our team can share in the long-term success of Qureight
• 28 days' holiday allowance, 25 days' annual leave and 3 additional company days between Christmas and New Year, plus bank holidays and enhanced family 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.