Senior Infrastructure Engineer, Zendar

• Ability to work from the office in Paris at least on Monday, Tuesday, and Thursday. Wednesday and Friday are optional in-office days
• 5+ years in Infrastructure engineering, DevOps/MLOps or similar
• Hands-on experience with CI/CD tools like GitHub Actions and a solid understanding of deployment workflows
• Knowledge of Terraform and Ansible
• Experience with cloud computing platforms (GCP or other)
• Broad knowledge of data engineering and MLOps tools (Airflow, Kubernetes)
• Proficiency with Python and Bash
• A proactive approach to solving problems and willingness to take on new challenges as they arise
• Somebody with solid opinions based on experience, yet open-minded and flexible to find the best solution for the situation

Desirable

• Zendar is looking for an experienced Infrastructure Engineer who understands engineering needs and can work with engineers to make their life easier and more productive
• Our team is a testament of the ability to unite engineers of different backgrounds over a common vision. We do not shy away from reality and its limitations but we also dream big
• To support our growing team, we’re looking for an Infrastructure Engineer to elevate our processes and technologies to the next level
• If you’re excited about all infrastructure topics, starting at IT administration, going through the CI/CD processes, and ending in designing and managing the ML data lifecycle, we’d love to hear from you!
• You will join our small team of Infrastructure engineers located in Berkeley, California and Paris, which means that not only will you have a lot of influence in shaping all of IT/DevOps/MLOps at Zendar, but you will also have a lot of responsibility for juggling many priorities and support tickets
• This role is perfect for someone who is comfortable managing multiple responsibilities simultaneously, enjoys interacting frequently with other engineers, and is opinionated about what to prioritize and how to build things
• IT Management of European offices (Paris and Lindau, Germany)
• Support engineers in their everyday needs - user management, permission control, system configuration
• CI/CD and Infrastructure:
• Maintain and adapt CI pipelines using GitHub Actions, ensuring they remain efficient and scalable as we grow
• ML Data & Workflow management:
• Maintain and grow a robust and reliable data lake in GCP for our proprietary training and evaluation data
• Take ownership of a high-capacity batch job system (Apache Airflow) for compute workloads
• Setting and Maintaining Infrastructure Standards:
• Be a go-to resource for solving infrastructure-related challenges, fostering a culture of ownership and accountability in the team