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Principal Cloud Infrastructure Engineer

Remote • Posted 8 hours ago • Updated 8 hours ago

Contract Independent

Contract W2

Occasional Travel Required

Remote

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Google Cloud Platform
Google Cloud
Terraform
Kubernetes
Docker
Identity Management
Life Sciences
HPC
HIPAA
GxP
DevOps

Summary

Job Title: Principal Cloud Infrastructure Engineer (Google Cloud Platform & DevOps, Life Sciences)
Duration: 6+ Months
Location: United States Remote / Some Boston and/or San Diego travel may be required during the engagement

Overview
At our Biotech client, data is its most valuable asset. We are hiring a Principal Cloud Infrastructure Engineer to advise on the evolution of the Google Cloud Platform (Google Cloud Platform) ecosystem. You will be the architect and executor (hands on) of a secure, "science-ready" cloud environment that bridges the gap between high-performance computational chemistry and regulated clinical data requirements. Your goal is to mature the Google Cloud Platform infrastructure incrementally, ensuring that every deployment is automated, secure, and compliant.

Key Responsibilities

Infrastructure Strategy & Governance: Define the roadmap for Google Cloud Platform services (Compute Engine, GKE, BigQuery, Vertex AI). Advise on "Buy vs. Build" decisions for Google Cloud Platform-native tools versus third-party integrations.
DevOps & Automation: Lead the transition to a 100% Infrastructure as Code (IaC) environment using Terraform. Build and maintain robust CI/CD pipelines (e.g. GitHub Actions, Cloud Build) for both internal tools and scientific workflows.
Security & Compliance: Implement and enforce a Zero Trust security model. Design VPC Service Controls, IAM hierarchies, and Cloud Armor policies.
Incremental Maturity: Rather than "boiling the ocean," you will identify high-impact, low-friction improvements to our current stack, migrating legacy manual processes to automated, scalable cloud-native solutions.
Technical Advisory: Act as the internal "Google Cloud Platform Guru" for our data scientists and chemists, helping them optimize their high-compute workloads (e.g., AlphaFold runs, molecular dynamics) for cost and performance.

Required Qualifications

Experience: 5+ years of dedicated experience in Cloud Engineering/DevOps, with at least 3+ years specifically on Google Cloud Platform.
Technical Depth: Expert-level proficiency with Terraform, Kubernetes (GKE), and Docker.
Security Mindset: Strong understanding of cloud networking (Shared VPCs, Interconnect) and identity management (Okta integration, Google Cloud Platform IAM).
Industry Context: Previous experience in Life Sciences, Biotech, or Healthcare
Solid Graphics Processing Unit (GPU) knowledge: experience in working on High Performance Compute (HPC) using GPUs.
Education: B.S./M.S. in Computer Science, Engineering, or a related field (or equivalent practical experience).
Strong Communication Skills: Ability to communicate effectively with a broad set of stakeholders on complex topics in a remote work environment.
Nice to have: Validated Environments (GxP): Ability to advise on cloud infrastructure meeting "Validated State" requirements (SOC2, HIPAA, and GxP compliance) for clinical-stage data, ensuring reproducibility and auditability of scientific results.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: buxton
Position Id: 8956505
Posted 8 hours ago

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