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.
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.
Responsibilities
- IaC (OpenTofu)
- Operate and maintain the cloud infrastructure deployed within our AWS environment
- GitOps deployments of software
- CI/CD pipelines
- Maintain and monitor Kubernetes clusters
- Security maintenance and best practice implementation
- Support internal teams with solutions for their deployment and infrastructure requirements
Requirements
- 2+ years of industry experience in applied DevOps
- Strong written and verbal communication skills
- Strong proficiency with Linux operating systems
- Experience with 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 with 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 to read and understand Python code
Even Better If
- Experience with Machine Learning model management (model registries, packaging, 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
Benefits
- 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
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’ll support you if you require adjustments to the application or selection process.
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