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. Requirements 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. Originally posted on Himalayas