Senior DevOps / MLOps Engineer at ramblr.ai

Dresden, Saxony, Germany -

Full Time

Start Date

Immediate

Expiry Date

08 Sep, 26

Salary

0.0

Posted On

10 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

DevOps, MLOps, GitLab, Google Cloud, Microsoft Azure, Terraform, Kubernetes, Docker, ArgoCD, Helm, Python, CI/CD, Infrastructure as Code, Microservices, GDPR Compliance, System Scaling

Industry

Software Development

Description

ramblr 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? If so, you can apply directly to the job posting or use the open application form. We look forward to hearing from you ! Job Description 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. Your profile 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 Why us? 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! About us Founded by experienced tech entrepreneurs and deep-learning scientists with proven track records, we have embarked on a mission to bring AI to the physical world and unlock next-gen intelligent AR/XR devices.

Responsibilities

Design and operate a cloud-native infrastructure across multiple hyperscalers using high levels of automation. Transform experimental machine-learning algorithms into reliable, scalable, and secure production systems using IaC and CI/CD pipelines.