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? This is a remote engineering position focused on cloud infrastructure.
Key Responsibilities
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.
Required 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
Benefits
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!
