Ramblr
Senior DevOps / MLOps Engineer
Senior DevOps / MLOps Engineer bei ramblr in Dresden. Aufbau und Betrieb cloud-nativer, automatisierter Infrastruktur für Machine-Learning-Anwendungen über mehrere Hyperscaler hinweg.
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What the employer offers
- Equity
Job 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!
