Senior DevOps / MLOps Engineer

Actionable Insights with Industrial-Grade Video Understanding

AI for the Physical World. At Ramblr, we go beyond superficial video analysis to extract deep context from egocentric videos. Our technology provides a comprehensive understanding of actions, individual objects, and their relationships. Prompt Ramblr’s AI assistant to unlock precise insights and pinpoint specific moments in thousands of hours of multimodal videos captured from a first-person perspective. Are you excited to become a Ramblr and join us at the intersection of AI and spatial computing? We look forward to hearing from you ! You will collaborate closely with our development teams to design and operate a cloud-native infrastructure that spans multiple hyperscalers and relies on a high level of automation.

Using IaC and CI/CD pipelines, you will help transform our experimental machine-learning algorithms and services into reliable, scalable, secure, and privacy-focused production systems for our customers.

Qualifications

• Proven track record of building and operating scalable backend and frontend services for machine learning applications
• Strong hands-on experience with DevOps tooling (preferably GitLab) and designing scalable, efficient pipelines and generalize DevOps processes
• Solid experience with major cloud platforms, ideally Google Cloud and/or Microsoft Azure
• Deep expertise in Infrastructure as Code, preferably using Terraform
• Strong background in containerization and microservices architectures, with a focus on DevOps tooling (e.g., Kubernetes, Docker, ArgoCD, Helm)
• Familiarity with MLOps concepts
• Proficient in Python, including experience with uv, ruff and similar code quality tools
• Practical experience with system scaling, load balancing, configuration management, and deployment pipelines
• Experience designing and operating secure, privacy-compliant systems (e.g., GDPR), including user account management and data retention / deletion mechanisms

Education & Experience

• Bachelor’s, Master’s, or PhD in Computer Science or a related field
• Minimum of 3 years of relevant professional experience
• Fluent in English
• Join a highly motivated team with super smart people in a well-funded, early-stage startup
• Take part in an incredible journey and participate in our equity incentive plan
• Become part of an international team of experienced entrepreneurs and deep-learning experts
• Play a decisive role in shaping a company with a creative working environment and streamlined decision-making
• Enjoy full responsibility for your tasks and your work area
• Come have fun with us, learn from your mistakes and bring good vibes!