13h ago
New
USD 90764-131685/yr

6552 - Systems Administration SME, Research AI & Applications

United StatesUnited States·Cambridgemid
OtherResearch
2 views0 saves0 applied

Quick Summary

Key Responsibilities

Administer research applications and infrastructure across Google Cloud Platform, AWS, and scientific SaaS environments, including cloud projects, IAM, networking, storage, quotas,

Requirements Summary

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,

Technical Tools
OtherResearch

Description

  • 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

Responsibilities

~2 min read
  • →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 ServiceNow and Jira with clear ownership and traceability
  • →Maintain CI/CD pipelines and infrastructure-as-code configurations, applying source control, peer review, security scanning, and rollback controls, and help transition scientist-managed prototypes into documented, secure, production-ready deployments
  • →Apply enterprise security and risk standards, supporting architecture reviews, threat modeling, audits, and investigations; maintain audit logs, identify unmanaged integrations and shadow AI services, and partner with scientists, developers, security, cloud engineering, and vendors on operational readiness and lifecycle ownership

Requirements

~2 min read
  • 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
  • Local Hybrid Requirement: Must be willing to be on-site in Cambridge, MA 3 days per week

For US geography, the salary range for this position is shown below. The actual salary is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs, market demand, and competitive market practice. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This salary range is subject to change and may be modified in the future.

*Verista is an equal opportunity employer.

National (US) Range
$90,764—$131,685 USD

Benefits

Why Choose Verista?

  • 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 (We have fun!)
  • Employee Recognition
  • Employee Referral Program
  • Paid Parental Leave and Bereavement

Verista collects and processes personal data in accordance with applicable data protection laws.  If you are a California Job Applicant, see the privacy notice for further details. 

For more information about our company, please visit us at Verista.com

Location & Eligibility

Where is the job
Cambridge, United States
On-site at the office
Who can apply
US

Listing Details

Posted
October 1, 2026
First seen
October 1, 2026
Last seen
October 1, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
79%
Scored at
October 2, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
Newsletter

Stay ahead of the market

Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.

A
B
C
D
Join 12,000+ marketers

No spam. Unsubscribe at any time.

6552 - Systems Administration SME, Research AI & ApplicationsUSD 90764-131685