Systems Administrator

Lever, Inc.; Netherlands; Remote; EUR 60.000 - 90.000; Vollzeit

Benefits dieser Stelle

Remote work flexibility

Exposure to agentic AI and cutting‑edg

Zusammenfassung

Lever, Inc. is seeking a Systems Administrator for a fully remote position based in the Netherlands.

You will manage cloud-hosted research apps, AI frameworks, and scientific SaaS platforms, across GCP and AWS, with a focus on security, IAM, and modern identities. This role spans containerized environments, CI/CD, and IaC workflows, collaborating with scientists, developers, and data engineers to ensure resilience and cost efficiency.

Qualifikationen

• 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 with Vertex AI, agentic AI orchestration, MCP servers, hybrid-cloud setups, scientific computing/bioinformatics platforms, or relevant security certifications.

Aufgaben

• Administer GCP and AWS cloud projects, managing 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.

Kenntnisse

Linux admin

Docker

Python

API management

Cloud security

CI/CD

Infrastructure as Code

ServiceNow

Jira

Kubernetes

Ausbildung

Bachelor's degree in Computer Science

Tools

Cloud Run

GCP

AWS

Kubernetes

Terraform

ServiceNow

Jira

Jobbeschreibung

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Systems Administrator based in Netherlands.

As a Systems Administrator, you will drive the secure, reliable, and compliant operation of advanced cloud-hosted research applications, agentic AI frameworks, and scientific SaaS platforms. Operating in a high-tech, fully remote environment, your work directly bridges the gap between scientific innovation and enterprise IT by transitioning research prototypes into robust, production-ready services. You will maintain cloud infrastructure across GCP and AWS, oversee containerized environments, and manage modern identity, security, and secrets configurations. Collaborating with cross-functional teams of scientists, developers, cybersecurity experts, and data engineers, your technical leadership will safeguard system integrity, optimize cloud costs, and elevate operational resilience across cutting-edge AI and scientific data ecosystems.

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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role’s core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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