Systems Administrator

Accountabilities:: Administer GCP and AWS cloud projects, managing identity and access management (IAM), service accounts, RBAC, SSO, OAuth, networking, storage, compute, and third-party SaaS integrations. Operate and maintain Cloud Run, Docker containers, container registries, DNS, TLS certificates, load balancers, and Google Cloud Identity-Aware Proxy (IAP). Support agentic AI tools, MCP servers, APIs, machine-to-machine authentication, secret management, API keys, and model integration frameworks. Maintain CI/CD pipelines and Infrastructure-as-Code workflows, ensuring automated security scanning, testing, deployment traceability, and Python dependency management. Monitor system health, performance metrics, logs, token usage, and cloud expenses, proactively mitigating service disruptions, model/tool failures, and API quota limits. Manage incident response, root-cause analysis, disaster recovery, vulnerability remediation, and service request tickets using ServiceNow and Jira. Identify unmanaged shadow AI services or overprivileged identities, while producing comprehensive operational runbooks and technical documentation for production deployments. Requirements: Bachelor’s degree in Computer Science, Information Systems, Engineering, Technology, or a related technical discipline. 3+ years of hands-on experience in systems and cloud administration within production environments across GCP, AWS, or Azure. Strong proficiency in Linux administration, Docker containers, Python environments, API management, and core networking protocols (DNS, TLS, load balancing). Robust knowledge of cloud security, IAM, SSO, OAuth, secrets management, and container orchestration platforms such as Cloud Run or Kubernetes. Demonstrated experience with CI/CD pipelines, Infrastructure-as-Code, monitoring and observability tools, and ITSM ticketing platforms (ServiceNow, Jira). Excellent troubleshooting, documentation, and communication skills with a strong capacity for cross-functional collaboration. Preferred experience or familiarity with Vertex AI, agentic AI orchestration, MCP servers, hybrid-cloud setups, scientific computing/bioinformatics platforms, or relevant security certifications. Benefits: Competitive salary compensation corresponding with technical expertise and market standards. 100% remote flexibility, offering high autonomy and work-life balance. Direct exposure to cutting-edge technologies, including agentic AI architectures, machine learning frameworks, and advanced scientific SaaS tools. Continuous opportunities for professional growth and skill development within a dynamic, cross-functional technical team. Flexible contractor or employment setup backed by streamlined digital collaboration tooling and modern infrastructure workflows.