Systems Administrator

Workiy Inc.; United States; Remote; USD 110,000 - 170,000; Full time

Job summary

Workiy Inc. is seeking a Cloud/DevOps Engineer to support secure, reliable cloud-hosted research apps and AI systems. You will manage GCP/AWS environments, containerized workloads, and production services, collaborating with scientists, IT, and security teams.

The role focuses on cloud operations, CI/CD, IAM, and security best practices, with strong emphasis on compliance and incident response in a remote setting.

Qualifications

• Bachelor’s degree in CS/IS/Engineering or related field.
• 3+ years of experience in systems/cloud administration.
• Production admin experience with GCP/AWS/Azure or similar cloud platforms.
• Hands-on with Linux, Docker/containers, Python, APIs, networking, DNS/TLS.
• IAM, SSO, OAuth, service accounts, secrets management.
• Serverless/containers orchestration (Cloud Run/Kubernetes).
• CI/CD, Infrastructure as Code, monitoring/observability.
• Incident management, backup/recovery, patching, vulnerability remediation.
• Experience with ServiceNow and Jira.

Responsibilities

• Administer GCP/AWS cloud projects, IAM, service accounts, networking, storage, compute.
• Operate Cloud Run, Docker registries, DNS, TLS, load balancing, and IAP.
• Manage identities, RBAC, SSO, OAuth, service accounts, secrets, tokens, certificates.
• Maintain Dockerfiles, container images, Python dependencies, registries, configs.
• Monitor logs, metrics, traces, alerts, dashboards, and cloud costs.
• Maintain CI/CD pipelines and infrastructure-as-code.
• Incident triage, root‑cause analysis, backup/recovery, DR and continuity.
• Manage incidents, service requests, problems, and changes via ServiceNow/Jira.
• Support vulnerability remediation, audits, threat modeling, risk assessments.
• Identify shadow AI services and overprivileged identities.
• Create runbooks and lifecycle documentation.
• Transition prototypes into production deployments.

Skills

Cloud administration

Linux

Docker/containers

Python

APIs

Networking

IAM/SSO/OAuth

CI/CD

Infrastructure as Code

Monitoring/observability

Incident management

Vulnerability remediation

Education

Bachelor's degree in CS/IS/Engineering

Tools

GCP

AWS

Azure

Kubernetes

Cloud Run

Artifact Registry

Secret Manager

IAP

Terraform

Git

Job description

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.

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/containers 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.