5 devops engineer jobs found in Zürich

At   Shiftmove , we’re building the next generation of connected mobility products that empower businesses to make smarter, data-driven decisions. Our goal is to make complex operations intuitive and efficient – turning insights into impactful action for thousands of B2B customers across Europe. We’re expanding the engineering team behind   Avrios,   one of our core products, and are looking for a   Backend-focused Software Engineer (Angular)   to join us. As our Software Engineer, you will work on a product used by thousands of companies managing large vehicle fleets across Europe, and solving challenges around scale, automation, and AI-driven workflows. You will be part of a team where we own topics end-to-end, think critically about solutions, and work closely with Product & Design (as well as our customers) to build features with real impact. What you'll do End-to-End Feature Ownership:   Design, build, test, and ship production-grade frontend features,...

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. 2 years of experience with data structures and algorithms. Experience with deep learning tools (e.g., TensorFlow, TuneLab Studio). Experience in the fields of natural language processing, computer vision or multi-modal large language models. Experience with building...

About Flexion At Flexion, we're building the intelligence layer powering the next generation of humanoid robots. Our mission is to accelerate the transition from fragile prototypes to real-world humanoid deployment. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich), and backed by leading international VC firms. In just months, we’ve gone from our first line of code to deploying real humanoid capabilities. The role We are looking for a Research Engineer to push the frontier of RL-based manipulation for humanoid robots. You will work on some of the hardest problems in robotics: enabling robots to solve long-horizon, contact-rich manipulation tasks using reinforcement learning, and making these solutions work reliably in the real world. This is a deeply technical role at the intersection of research and engineering. You will be responsible for developing new algorithms, scaling training systems, and closing the loop between...

Overview: As a Senior ML Engineer in the intelligent AV pod, you will be responsible for evaluating, integrating, and optimizing state-of-the-art machine learning models that power the perception and awareness engine behind Q-SYS VisionSuite. This position emphasizes strong engineering execution: systematically benchmarking external and internal models, selecting the right techniques for production constraints, and ensuring robust deployment in real-time, resource-constrained AV environments. You will work closely with ML, Robotics, and Software Engineers to advance VisionSuite as a reliable, maintainable, and high-performance solution for smart meeting spaces and intelligent buildings. This position is based in Zurich, Switzerland (hybrid). Your mindset Engineering-First ML Practitioner:   You prioritize robustness, reliability, and maintainability over novelty. Strong Software Engineer:   You design modular, testable, and extensible systems and apply...

About the role Imagine building intelligent systems that don’t just work in perfect lab conditions, but perform reliably in the real world, where uncertainty is the norm and failure is not an option. As a   Machine Learning Engineer,   you will push the limits of computer vision by designing, training, and validating neural networks that operate in complex, safety-critical environments. Your work will directly influence how autonomous systems perceive and interact with the world, combining deep learning, simulation, and rigorous verification into one seamless pipeline. At Destinus, we are shaping the future of defense through high-speed, autonomous flight technologies. We develop next-generation unmanned aerial systems that deliver greater speed, precision, and efficiency, supporting governments and defense organizations in mission-critical operations worldwide. Daedalean AG, the AI and autonomy hub of the Destinus Group, plays a key role in this vision. Developing...