Systems Administration SME, Research AI

Cambridge, MA

Description

Verista’s 500 experts team up with the world’s most recognizable brands in the life science industry to solve their business needs. The nature of our business is to empower growth and innovation within the scientific community and to help researchers, organizations, and companies solve some of the world’s most pressing healthcare challenges. Verista provides innovative solutions and services that empower informed decision-making and are the result of our significant investment in our people and our capabilities.

Our ability to grow is driven by world-class people who thrive in a team environment and share our mission to enable life sciences clients to improve lives. Our talented and dedicated professionals are committed to making an impact every day.

Company Culture Guidelines & Values:

• We empower and support our colleagues
• We commit to client success at every turn
• We have the courage to do the right thing
• We encourage an inclusive environment where our colleagues feel respected, engaged, and challenged.
• We constantly acquire new skills and learn from our experiences to enhance our collective expertise

Job Introduction: We are seeking a hands-on Systems Admin who will be responsible for the secure, reliable, and compliant operation of cloud-hosted research applications, agentic AI systems, and scientific SaaS platforms. This role supports systems that integrate cloud infrastructure, containers, AI models, Model Context Protocol (MCP) servers, scientific databases, APIs, and third-party services. Partnering with scientists, developers, IT platform owners, cybersecurity, architecture, networking, data teams, and vendors, the administrator keeps pipeline and production services running reliably.

The role does not own architecture, but must understand it well enough to operate, secure, troubleshoot, and maintain these applications effectively.

Job Responsibilities:

• Administer research applications and infrastructure across Google Cloud Platform, AWS, and scientific SaaS environments, including cloud projects, IAM, networking, storage, quotas, and compute services, while maintaining separation among development, test, validation, and production environments
• Operate Cloud Run services, containers, registries, domains, DNS, TLS certificates, load balancing, and Identity-Aware Proxy, supporting secure connectivity among cloud environments, internal systems, scientific databases, SaaS platforms, model APIs, and laboratory networks
• Administer SaaS tenant settings, access, integrations, APIs, audit controls, and licenses, monitoring vendor releases, security advisories, and end-of-life notices
• Maintain inventories of approved agents, MCP servers, tools, data sources, integrations, permissions, credentials, and system owners; maintain and update tooling supporting agentic AI frameworks and orchestration libraries, monitoring performance and resolving system errors
• Administer user, group, service account, and machine-to-machine access using role-based access controls and least-privilege principles; rotate credentials and store secrets in approved services, eliminating hard-coded credentials
• Maintain container images, Dockerfiles, registries, and pinned dependencies, remediating vulnerabilities and deprecations while maintaining rollback procedures and deployment traceability
• Maintain logs, metrics, traces, alerts, dashboards, and automated health checks covering availability, performance, errors, model/tool failures, and cloud cost and usage
• Create runbooks and support incident triage, root-cause analysis, corrective actions, backup, restoration, and disaster recovery; record and manage incidents, requests, and changes through…