Linux Engineer / DevOps

Role overview Build and maintain the Linux and deployment foundations for automation services that need to run reliably around the clock. The work spans server administration, containers, delivery pipelines, security, monitoring, and scripting, with an emphasis on systems that are understandable and maintainable by others.

Responsibilities - Provision and manage Linux servers and containerized workloads. - Create and maintain deployment pipelines for automation workflows and services. - Apply security controls and support compliance needs, including European data protection and Swiss data requirements. - Monitor service health, investigate incidents, and improve performance and reliability. - Automate recurring infrastructure and operational tasks with scripts and configuration management. - Document systems, operating procedures, and changes so teammates can support them.

Requirements - Deep working knowledge of Linux and experience setting up infrastructure from the command line. - Experience managing servers or infrastructure that support production users. - Ability to diagnose incidents through logs and system behavior. - Solid understanding of networking fundamentals, including DNS, TCP/IP, and TLS, along with security practices. - Experience with containers, cloud or hosted infrastructure, and CI/CD workflows. - Comfort using AI assistants for scripting, troubleshooting, and documentation, while reviewing their output carefully.

Nice to have - Familiarity with monitoring and logging stacks, secrets management, firewalls, VPNs, and infrastructure-as-code. - Experience with European hosting providers or Kubernetes. - Interest in AI-assisted monitoring and alerting.

Benefits and work setup - Remote work from anywhere in Europe. - Base compensation plus a performance bonus, an annual learning budget, and a home office setup budget. - Equity participation and autonomy over infrastructure decisions.

The application invites candidates to share scripts or configuration examples, describe a system they have built or maintained, explain their use of AI tools, and discuss a production incident they resolved.