Systems Administrator

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

Benefits offered by this job

Remote work flexibility

Competitive salary

Professional growth in a cross‑functio

Job summary

Jobgether SRL is seeking a Systems Administrator to ensure secure, reliable operation of cloud-hosted research apps and agentic AI frameworks in a fully remote setup. You will manage GCP and AWS, containerized environments, IAM, and secrets, bridging research prototypes with production services.

You will lead CI/CD pipelines, IaC workflows, and incident response, collaborating with scientists, developers, cybersecurity experts, and data engineers to optimize resilience and cloud costs.

Qualifications

• Bachelor’s degree in a technical field.
• 3+ years in systems and cloud administration in production.
• Strong Linux, Docker, Python, API management, and core networking.
• Knowledge of cloud security, IAM, SSO, OAuth, secrets management, and container orchestration.
• Experience with CI/CD, Infrastructure-as-Code, monitoring, and ITSM tools.
• Excellent troubleshooting and cross-functional communication.
• Familiarity with Vertex AI or agentic AI orchestration is a plus.

Responsibilities

• Administer GCP and AWS projects including IAM, networking, storage, and compute.
• Operate Cloud Run, Docker containers, registries, DNS, TLS, load balancers, and IAP.
• Support agentic AI tools, APIs, secret management, and model integration frameworks.
• Maintain CI/CD pipelines and IaC workflows with automated security scanning.
• Monitor system health, logs, and cloud costs; mitigate outages and failures.
• Handle incident response, DR, vulnerability remediation using ServiceNow and Jira.
• Produce runbooks and documentation for production deployments.

Skills

Linux

Docker

Python

API management

Networking

CI/CD

Infrastructure as Code

Monitoring

ITSM

Cross-functional collaboration

Education

Bachelor’s degree in Computer Science / Information Systems / Engineering

Tools

Cloud Run

Kubernetes

Terraform

ServiceNow

Jira

Job description

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.

Data Privacy Notice

By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.