系统管理员

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.

Requirements
Mandatory Requirements

• 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.

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.

Originally posted on Himalayas