Systems Admin SME, Research AI
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Requirements:
Bachelor's degree in computer science, information systems, engineering, technology, or a related field 8+ years of experience administering production systems in GCP, AWS, Azure, or a comparable cloud environment 5+ years of experience with Linux, containers, Docker, Python environments, APIs, networking, DNS, TLS, identity, secrets management, and serverless or container orchestration services such as Cloud Run or Kubernetes Knowledge of IAM, SSO, OAuth, service accounts, machine-to-machine authentication, CI/CD, infrastructure as code, monitoring, incident management, backup, recovery, patching, and vulnerability remediation Familiarity with ServiceNow for IT service-management processes and Jira for work intake, backlog management, issue tracking, documentation, and operational work management Strong troubleshooting, documentation, communication, and cross-functional collaboration skills Experience with Google Cloud IAP, Cloud Run, Secret Manager, Artifact Registry, Cloud Monitoring, Gemini, or Vertex AI, including systems spanning GCP and AWS Familiarity with scientific computing, bioinformatics, laboratory automation, multiomics, research data platforms, or scientific SaaS, plus knowledge of container scanning, software bills of materials, supply-chain security, data integrity, and auditability. Relevant cloud, systems engineering, IT service management, or cybersecurity certifications are desirable
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