Cloud Infrastructure Engineer

Cloud Infrastructure Engineer At RefinedScience, our mission is to advance care by bringing together the best science, data and minds – disease by disease, patient by patient, cell by cell to discover pathways to life beyond disease. WHAT WE ARE LOOKING FOR We are seeking a Cloud Infrastructure Engineer to join our team. You will be responsible for designing, implementing, and maintaining cloud-based infrastructure and automation to meet the evolving needs of our organization. The ideal candidate has hands-on cloud engineering experience, is proficient with infrastructure as code, and is comfortable owning cloud networking, compute, and deployment pipelines in a regulated research environment. A key part of this role is serving as the infrastructure platform support layer for our software development and data science teams — helping them build, deploy, and observe their work reliably and at scale. You will collaborate closely with our development, data science, clinical, and informatics teams to deliver scalable, secure, and reliable infrastructure on Google Cloud Platform (GCP). KEY ACTIVITIES 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 MUST HAVES Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience Experience in cloud engineering, infrastructure engineering, or a closely related role Strong proficiency with GCP; equivalent experience with AWS or Azure will be considered Linux administration and comfort working in Linux-based environments via command line Hands-on experience with infrastructure as code with Terraform and or Pulumi Demonstrated experience building and maintaining CI/CD pipelines (GitHub Actions, Google Cloud Build, or similar) Solid understanding of cloud networking: VPC design, load balancers, DNS, NAT, and firewall rule management Hands-on experience with metrics collection and building operational dashboards Experience scripting or automating infrastructure tasks in Python or a similar language Strong written and verbal communication skills with an ability to produce clear technical documentation Ability to work both independently and collaboratively within a cross-functional team NICE TO HAVES Experience in a healthcare or life sciences environment; working knowledge of HIPAA compliance requirements Experience with GCP-native observability tooling (Cloud Monitoring, Cloud Logging) in addition to Prometheus/Grafana Experience with cloud IAM best practices and security controls (VPC Service Controls, service accounts, least-privilege patterns) Experience with front-end application hosting infrastructure (load balancers, SSL/TLS termination, CDN) Google Cloud Professional certification (Cloud Architect, DevOps Engineer, or similar) Familiarity with containerization technologies, primarily Docker; Kubernetes exposure is a plus but not required WHY YOU’LL LOVE REFINED SCIENCE Team + Values At RefinedScience, we seamlessly integrate top-tier clinical and biological data with expert knowledge to provide unparalleled insights. We maximize patient impact with these unique insights by optimizing clinical trial probability of success and time to actionable results. We work across biopharma and we are a trusted partner in achieving better results, faster – working together to unlock strategic advantage. Our Values Act with Purpose – We believe in rigor through deliberate and thoughtful actions Be Curious – Curiosity is the spark that ignites innovation and growth Take Ownership – True ownership leads to pride and commitment in the work we do Invest in Relationships – Building strong connections is the foundation for effective collaboration and trust for long term success Embrace Agility – We celebrate agile thinking, resilience, and adaptability WHAT WE OFFER The target salary range is $110,000 to $130,000 annually. Base pay offered may vary within the posted range based on several factors, including but not limited to education, job-related knowledge, skills, experience, and location. BENEFITS Medical, Dental and Vision insurance Life, AD&D, Short-term and Long-term Disability Insurance (none is100% covered) HSA Spending Accounts 22 Vacation days 10 Paid Holidays and Sick Time (120 hours per year) 401(K) Plan