Cloud Engineer

MetaCell is hiring a Cloud Engineer to design, build, and operate secure Google Cloud infrastructure for scientific research platforms. The role focuses on Terraform-based infrastructure, CI/CD, cloud security and operations, and supporting research data and compute workloads.

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
• Contribute to and review pull requests with peers

Requirements:

• 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 application development, 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
• CloudHarness:experience deploying microservice-based applications using the CloudHarness framework
• 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
• 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)
• Background: life science domain experience