System Engineer

Role Overview

• As a System Engineer (m/f/d), you operate at the intersection of software development, infrastructure, operations and modern AI-assisted systems.
• In a complex and demanding environment, you work closely with software engineers, architects and related specialist roles to design, build and operate reliable, secure and future-proof platforms.
• You accompany systems and platforms from conception and design through implementation and operation to documentation.
• You work in agile, interdisciplinary teams closely with software engineers, architects, DevOps and security specialists as well as project leads.
• You contribute to the analysis, specification and implementation of customer, system, security and operational requirements.
• You support the design of end-to-end solutions that tie together software, infrastructure and operational aspects.
• You take security and cryptographic requirements into account—for example secure communication, certificates, key management and encryption—as an integral part of system design.
• You have an affinity for AI-assisted systems, including deployment, operation and lifecycle management of large language models (LLMs) on-premise.
• You support topics such as model hosting, compute resources (CPU/GPU), isolation, data protection and operational safety for AI workloads.
• You maintain direct contact with customers and actively support solution development and technical decision-making.
• You take responsibility for system stability, performance, scalability and continuous improvement.

Requirements

• At least three years of experience in system engineering, infrastructure engineering, platform engineering, DevOps or a comparable role in a similarly complex environment.
• A broad and flexible technical skill set with proven experience working closely with software development teams.
• A solid understanding of modern system architectures, deployment models and integration patterns.
• Experience with Linux-based systems, networking, virtualization and/or container technologies such as Docker and Kubernetes.
• An affinity for AI technologies and interest or experience operating LLMs on-premise, AI inference services or data-sensitive AI environments.
• Basic to advanced understanding of security concepts, including cryptographic principles such as encryption, certificates, key management or secure communication protocols.
• Familiarity with professional engineering and operational processes across the entire system lifecycle.
• A structured, careful and independent working style.
• Very good German and good English skills.
• Willingness to undergo a personal security clearance.
• Swiss citizenship or a Swiss permanent residence permit (Permit C) and a clean criminal record are required.

Tech Stack

• Docker
• Kubernetes
• Linux

Benefits

• A friendly and appreciative working atmosphere in an innovative engineering team in the heart of Zurich.
• An attractive salary and at least five weeks of vacation.
• Home office options and flexible working hours that fit your life.
• Regular team events, summer outings, training and conferences.
• Diverse learning and development opportunities, including new technologies such as AI platforms.
• Projects with real impact—your work has visible and lasting effect.