Systems Administrator

• 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.

• 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.

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Technology, or related field.
• 3+ years of experiencein 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.

• 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.

Originally posted on Himalayas