Systems Administrator

This is a remote position.

Project Description

• Support secure, reliable, and compliant operation of cloud-hosted research applications, agentic AI systems, scientific SaaS platforms, and production services.
  
• Work across GCP, AWS, cloud containers, AI/ML models, MCP servers, APIs, scientific databases, and third-party SaaS platforms.
  
• Support scientists, developers, IT, cybersecurity, networking, data teams, architecture, and vendors in transitioning research prototypes into secure, repeatable, production-ready services.
  

Key Responsibilities

• Administer GCP/AWS cloud projects, IAM, service accounts, networking, storage, compute, quotas, and SaaS environments.
  
• Operate Cloud Run, Docker containers, registries, DNS, TLS, load balancing, and Google Cloud IAP.
  
• Manage identities, RBAC, SSO, OAuth, service accounts, machine-to-machine authentication, secrets, API keys, tokens, and certificates.
  
• Maintain approved AI agents, MCP servers, tools, integrations, data sources, permissions, and credentials.
  
• Maintain Dockerfiles, container images, Python/application dependencies, registries, runtime configurations, and rollback procedures.
  
• Monitor logs, metrics, traces, alerts, dashboards, health checks, API limits, model/tool failures, token usage, cloud costs, and service availability.
  
• Maintain CI/CD pipelines and infrastructure-as-code, including source control, security scanning, testing, approvals, and deployment traceability.
  
• Perform incident triage, escalation, root-cause analysis, backup/recovery, disaster recovery, and service continuity.
  
• Manage incidents, service requests, problems, and changes using ServiceNow and Jira.
  
• Support vulnerability remediation, patching, security investigations, audits, threat modeling, and risk assessments.
  
• Identify shadow AI services, unmanaged integrations, unapproved MCP servers, and overprivileged identities.
  
• Create operational runbooks, technical documentation, and lifecycle/ownership documentation.
  
• Help transition scientist-managed prototypes into secure, supportable production deployments.
  

Mandatory Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Technology, or related field.
  
• 3+ years of experience in systems/cloud administration.
  
• Production administration experience with GCP, AWS, Azure, or comparable cloud platforms.
  
• Hands-on experience with:
  
• Linux
  
• Docker/containers
  
• Python environments
  
• APIs
  
• Networking, DNS, and TLS
  
• IAM, SSO, OAuth, service accounts
  
• Secrets management
  
• Serverless/container orchestration such as Cloud Run or Kubernetes
  
• Knowledge of:
  
• CI/CD
  
• Infrastructure as Code
  
• Monitoring and observability
  
• Incident management
  
• Backup/recovery
  
• Patching
  
• Vulnerability remediation
  
• Experience with ServiceNow and Jira.
  
• Strong troubleshooting, documentation, communication, and cross-functional collaboration skills.
  

Preferred Skills

• GCP IAP, Cloud Run, Secret Manager, Artifact Registry, Cloud Monitoring.
  
• Vertex AI, Gemini, or other AI/ML platform administration.
  
• Experience supporting GCP + AWS hybrid/multi-cloud environments.
  
• Agentic AI, AI orchestration, MCP servers, AI APIs, or model operations.
  
• Scientific computing, bioinformatics, laboratory automation, multiomics, research data platforms, or scientific SaaS.
  
• Container scanning, SBOM, software supply-chain security, data integrity, and auditability.
  
• Cloud, systems engineering, ITSM, or cybersecurity certifications.