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