6552 - Systems Administration SME, Research AI & Applications

The role

This person will manage the secure and compliant operation of cloud-hosted research applications, agentic AI systems, and scientific SaaS platforms. They will support systems integrating cloud infrastructure, containers, AI models, and scientific databases.

What you will do

• Administer research applications and infrastructure across GCP, AWS, and scientific SaaS environments
• Operate Cloud Run services, containers, registries, domains, DNS, TLS certificates, load balancing, and Identity-Aware Proxy
• Administer SaaS tenant settings, access, integrations, APIs, audit controls, and licenses
• Maintain inventories of approved agents, MCP servers, tools, data sources, integrations, permissions, credentials, and system owners
• Administer user, group, service account, and machine-to-machine access using role-based access controls
• Maintain container images, Dockerfiles, registries, and pinned dependencies
• Maintain logs, metrics, traces, alerts, dashboards, and automated health checks
• Create runbooks and support incident triage, root-cause analysis, corrective actions, backup, restoration, and disaster recovery
• Maintain CI/CD pipelines and infrastructure-as-code configurations
• Apply enterprise security and risk standards, supporting architecture reviews, threat modeling, audits, and investigations

Required qualifications

• 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 R
• Knowledge of IAM, SSO, OAuth, service accounts, machine-to-machine authentication, CI/CD, infrastructure as code, monitoring, incident management, backup, recovery, patching, and vulnerability remedia
• 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

Nice to have

• Familiarity with scientific computing, bioinformatics, laboratory automation, multiomics, research data platforms, or scientific SaaS
• 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

Benefits

• High growth potential and fast-paced organization with a people-focused culture
• Competitive pay plus performance-based incentive programs
• Company-paid Life, Short-Term, and Long-Term Disability Insurance
• Medical, Dental & Vision insurances
• FSA, DCARE, Commuter Benefits
• Supplemental Life, Hospital, Critical Illness and Legal Insurance
• Health Savings Account
• 401(k) Retirement Plan (Employer Matching benefit)
• Paid Time Off (Rollover Option) and Holidays
• As Needed Sick Time
• Tuition Reimbursement
• Team Social Activities

About the company

Verista's 500 experts team up with the world’s most recognizable brands in the life science industry to solve their business needs. The company empowers growth and innovation within the scientific community to help solve healthcare challenges.