Salesforce and RevOps administrator maintaining the systems behind Amilia’s recreation - management SaaS platform. Configuring integrations, data workflows, reporting, and AI - assisted automation.
About the role
- Systems Administrator supporting secure cloud-hosted research applications, agentic AI systems, and scientific SaaS platforms. Administering multi-cloud infrastructure, containers, identities, monitoring, and production services.
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
- 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
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
- Hands-on experience with Docker/containers
- Hands-on experience with Python environments
- Hands-on experience with APIs
- Hands-on experience with networking, DNS, and TLS
- Hands-on experience with IAM, SSO, OAuth, and service accounts
- Hands-on experience with secrets management
- Hands-on experience with serverless/container orchestration such as Cloud Run or Kubernetes
- Knowledge of CI/CD
- Knowledge of Infrastructure as Code
- Knowledge of monitoring and observability
- Knowledge of incident management
- Knowledge of backup/recovery
- Knowledge of patching
- Knowledge of vulnerability remediation
- Experience with ServiceNow and Jira
- Strong troubleshooting, documentation, communication, and cross-functional collaboration skills
Benefits
- Remote work arrangement
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