RefinedScience is dedicated to advancing care through innovative science and data solutions. They are seeking a Cloud Infrastructure Engineer to design, implement, and maintain cloud-based infrastructure that supports software development and data science teams, ensuring reliable and scalable operations on Google Cloud Platform.
Responsibilities:
- Design and implement cloud infrastructure on GCP using infrastructure as code
- Manage cloud networking components including VPCs, load balancers, DNS, Cloud Router, NAT, and firewall rules
- Manage and optimize cloud compute resources including GCE instances, Cloud Run, and related services
- Build and maintain CI/CD pipelines using tools such as GitHub Actions or Google Cloud Build to support reliable, repeatable deployments
- Design and maintain observability infrastructure including metrics collection, log aggregation, and dashboards to surface actionable insights for engineering and research teams
- Implement and maintain security and compliance controls appropriate to a regulated healthcare research environment
- Manage cloud services including backup and disaster recovery
- Support deployment and maintenance of internal applications and their underlying infrastructure
- Champion containerization best practices and support containerized workload deployments
- Collaborate with cross-functional teams to ensure seamless integration with existing systems and workflows
- Troubleshoot and resolve cloud infrastructure and deployment issues
- Create and maintain clear technical documentation, runbooks, and architecture diagrams
- Stay current with cloud technology trends and evaluate new tools and approaches relevant to the organization