Cloud Infrastructure Engineer

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RefinedScience

WebsiteLinkedInAll Job Openings

11 - 50 employees

🧬 Biotechnology

💊 Pharmaceuticals

🤖 Artificial Intelligence

Biotechnology • Pharmaceuticals • Artificial Intelligence

RefinedScience is a company that leverages deep data-driven, AI-enabled insights to transform precision drug development. By combining high-fidelity data with cutting-edge science and world-class expertise, RefinedScience aims to inform smarter drug discovery and development practices. Their platform processes clinical and biological data to generate transformative insights that can identify and validate novel drug targets, design smarter clinical trials, and revive stalled clinical-stage drug candidates. With a focus on areas with high unmet medical needs, they utilize advanced data technologies, including single-cell omics, and collaborate with world-leading experts to drive value across all stages of drug discovery and development. RefinedScience addresses the challenges of slow, costly, and risky drug development processes, aiming to increase the probability of success and reduce time and costs involved.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Medical, Dental and Vision insurance • Life, AD&D, Short-term and Long-term Disability Insurance (none is 100% covered) • HSA Spending Accounts • 22 Vacation days • 10 Paid Holidays and Sick Time (120 hours per year) • 401(K) Plan