Systems Administrator

Jobgether SRL; Schweiz; Remote; CHF 110,000 - 160,000; Full time

Benefits offered by this job

100% remote

Flexible contractor or employment

Professional growth opportunities

Job summary

Lever, Inc. is seeking a Systems Administrator to run secure, compliant cloud-backed research applications and AI frameworks in a fully remote setup within Switzerland.

You’ll manage GCP/AWS environments, containerized workloads, and modern identity/security configurations, collaborating with scientists and engineers to ensure resilience and cost efficiency. You will lead incident response, disaster recovery, and production deployments, while maintaining runbooks, documentation, and CI/CD

Qualifications

• Bachelor’s degree in a technical field.
• 3+ years of hands-on systems and cloud administration.
• Strong Linux, Docker, Python, and networking skills.
• Cloud security, IAM, SSO, OAuth, and container orchestration experience.
• Experience with CI/CD, IaC, monitoring, and ITSM tools.

Responsibilities

• Administer GCP and AWS cloud projects, managing IAM, RBAC, SSO, OAuth, networking, storage, compute, and SaaS integrations.
• Operate Cloud Run, Docker containers, registries, DNS, TLS, load balancers, and IAP.
• Support agentic AI tools, MCP servers, APIs, authentication, and model integration frameworks.
• Maintain CI/CD pipelines and IaC, with security scanning and traceability.
• Monitor health, performance, logs, and cloud costs; mitigate disruptions.

Skills

Linux administration

Docker

Python environments

API management

Networking

Cross-functional collaboration

Education

Bachelor’s degree

Tools

Cloud Run

Kubernetes

Terraform

Jira

ServiceNow

Job description

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 Switzerland.

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.