Cloud Engineer

MetaCell, LLC; Oregon; Remote; USD 120,000 - 190,000; Full time

Job summary

MetaCell, LLC is seeking a Cloud Engineer to design, build and operate secure Google Cloud infrastructure for scientific platforms. This fully remote role may require occasional travel to Italy, the UK or US and PST overlap for collaboration.

You will manage IAM, VPC controls, and CI/CD pipelines, run BigQuery, Airflow, and Cloud Run workloads, and ensure security and runbooks. 5+ years of experience and strong documentation are expected.

Qualifications

• 5+ years designing, deploying and operating cloud infrastructure with strong documentation.
• Deep GCP experience including IAM, org/folder/project hierarchy and VPC networking.
• Proficient with Terraform multi-environment modules and CI/CD promotions.
• Experience with Kubernetes, GKE, and GitHub Actions in production.
• Security-minded, able to implement least-privilege access and incident response.

Responsibilities

• Design, build and operate secure Google Cloud infrastructure for scientific platforms.
• Own CI/CD pipelines promoting changes from Dev/QA to production.
• Manage IAM, VPC perimeters, and organization policies with least privilege.
• Run data and compute workloads (BigQuery, Airflow, Cloud Run) and containerized apps.
• Monitor security, respond to incidents, maintain runbooks, and participate in on-call.

Skills

GCP

Terraform

Kubernetes

CI/CD

Python

Linux

Security

Incident response

Docker

Agentic AI

Education

BSc / MSc in Software Engineering or CS

Tools

GKE

GitHub Actions

BigQuery

Airflow

Cloud Run

Cloud Monitoring

Cloud Audit Logs

VPC Service Controls

Identity federation

Job description

(Fixed Term Contract / Full Time / Remote / PST Timezone)

We are looking for a talented full time Cloud Engineer to join our team on a fixed term contract, with an opportunity for renewal at the end of the contract. You will design, build and operate secure Google Cloud infrastructure for scientific research platforms used by researchers around the world. We are looking for someone with deep, hands-on GCP and Terraform experience, a strong security mindset, a proactive attitude and the desire to dive into the exciting neuroscience domain. This is a fully remote position, however meeting the team and traveling to Italy, the UK or US may be occasionally necessary.

Responsibilities

• Work with internal teams and external clients to turn requirements into secure, well documented cloud architecture.
• Build and maintain Google Cloud infrastructure as code with Terraform, and own the CI/CD pipelines that promote changes from Dev/QA to production.
• Manage IAM, networking, VPC Service Controls perimeters and organization policies following least privilege principles.
• Run data and compute workloads (BigQuery, Airflow, Batch, Cloud Run) and the containerized environments our scientific users rely on.
• Monitor security and platform health, respond to incidents, maintain runbooks and take part in the on-call rotation.
• Review code with peers and own the quality of infrastructure code.
• Availability during Pacific Standard Time (PST) working hours, or significant overlap with PST time zones, to ensure seamless communication and collaboration with internal teams and clients.
• 5+ years of experience designing, deploying and operating cloud-based infrastructure, with clear technical documentation skills (architecture diagrams, runbooks)
• Deep GCP experience and fundamentals: IAM, service accounts, org/folder/project hierarchy, VPC networking, GCS, BigQuery administration, Airflow, the Batch API and Cloud Run.
• Container orchestration & CI/CD: Kubernetes, GKE, and GitHub Actions or similar tools.
• Advanced Terraform: multi-environment modules, state management and CI/CD promotion from Dev/QA to production.
• VPC Service Controls and Access Context Manager : perimeter design, ingress/egress rules, access levels and troubleshooting violations.
• Security monitoring and incident response: Security Command Center, Cloud Monitoring alerts and Cloud Audit Logs.
• Docker, Python and Linux: building and securing container images, Python for automation and data workflows, and bash command line proficiency.
• Agentic engineering: hands-on proficiency with Claude Code or similar AI-assisted software development practices; demonstrated experience operating autonomous AI agents and agentic workflows.
• BSc / MSc in Software Engineering, Computer Science or a related technical field
• Identity federation: Workforce Identity Federation and IAP with external SAML/OIDC providers such as Login.gov, ID.me or InCommon.
• Research compute: custom Docker images (R, neuroimaging), Vertex AI Workbench, and Cloud Storage FUSE. Kasm/VDI experience is a plus.
• Assured Workloads: folder migration, org policy constraints and cleanly decommissioning legacy environments.
• Data-science and notebooks: Jupyter Notebook and JupyterHub, graph databases (Neo4j, Amazon Neptune), Apache Spark and Databricks.
• Frontend exposure: React and a frontend state manager (Redux, Jotai, Zustand or similar).
• Work remotely with flexible hours and a competitive salary
• Contribute to scientific open source software to advance life science research
• Work in a team of highly skilled engineers and with leading academic researchers around the world

About MetaCell

MetaCell software applications unlock the true value of life science data and models, including advanced simulations, collaborative morphology reconstruction and microscopy annotation, EEG and electrophysiology data. Working at the intersection of cutting edge life science and software engineering, we address the most challenging questions, from mechanisms of complex diseases that still elude us to the mysteries of the brain.