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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining cloud infrastructure, particularly with AWS and Kubernetes, while ensuring compliance with GxP and ISO/IEC 27001 standards. Proficient in CI/CD pipeline development, GitOps methodologies, and security practices in a regulated environment.
Highest-signal resume keywords
Cloud Infrastructure ManagementKubernetes OperationsGitOps Deployment StrategiesCI/CD Pipeline DevelopmentSecurity Maintenance and Compliance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Linux Operating SystemsAWS Cloud ManagementTerraformCI/CD PipelinesMonitoring and Logging FrameworksScripting LanguagesMachine Learning Model ManagementContainer Security ToolingProduction-Grade Code DevelopmentInfrastructure as Code
Soft Skills
Strong Written CommunicationVerbal Communication
Tools & Technologies
KubernetesGitLab CI/CDCloudWatchCloudTrailPrometheusGrafanaMLflow
Certifications & Qualifications
AWS Certified DevOps EngineerCertified Kubernetes Administrator
Industry Keywords
GxP21 CFR Part 11ISO/IEC 27001Medical ImagingDICOM
Tech Stack
Tools & technologiesAWSCloudGrafanaKubernetesLinuxPrometheusPythonTerraform
About the role
Key responsibilities & impact- Maintain and build cloud infrastructure for Qureight’s AI-powered clinical imaging and healthcare data platform
- Deploy and monitor production, development and research environments
- Build and maintain cloud infrastructure as code
- Operate, upgrade and monitor Kubernetes clusters across production, development and research environments
- Run GitOps-based deployments and support release management for a validated platform with strict, versioned release cycles
- Build, maintain and improve GitLab CI/CD pipelines
- Develop monitoring, logging and alerting
- Participate in incident response and root cause analysis
- Perform security maintenance, including patching, vulnerability remediation, secrets management and least-privilege access
- Monitor, report on and optimise cloud costs
- Support internal teams with deployment and infrastructure solutions, including machine learning training and model deployment infrastructure
- Write and maintain technical documentation, runbooks and change records supporting GxP, 21 CFR Part 11 and ISO/IEC 27001 obligations
- Collaborate with Platform, Data Engineering and Science teams
- Improve deployment, security and reliability practices and processes at scale
Requirements
What you’ll need- 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 read and understand Python code
- Strong written and verbal communication skills, including writing clear technical documentation
- Experience with machine learning model management, such as 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 regulated environments such as GxP, 21 CFR Part 11 and ISO/IEC 27001
- Experience producing maintainable, testable, documented, production-grade code
- Experience with container and cloud security tooling, such as image scanning, policy as code or secrets management
- Exposure to medical imaging, such as DICOM, or other healthcare data
- Relevant certifications, such as AWS Certified DevOps Engineer or Certified Kubernetes Administrator (CKA)
Benefits
Comp & perks- Annual bonus plan
- Private medical insurance
- Life insurance
- Cycle-to-work scheme
- Contributory pension scheme
- Equity participation in Qureight’s long-term success
- 28 days’ holiday allowance
- 25 days’ annual leave
- 3 additional company days between Christmas and New Year
- Bank holidays
- Enhanced family leave
- Diverse work environment
- Adjustments and support for the application or selection process
