Senior DevOps / MLOps Engineer

ramblr
Dresden, Germany
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Dresden, Germany

Tech stack

Azure
Configuration Management
Software Quality
Data Retention
DevOps
Python
Machine Learning
Octopus Deploy
Google Cloud Platform
Load Balancing
Cloud Platform System
DevOps Tools - Open-source
Delivery Pipeline
Gitlab
Containerization
Kubernetes
Information Technology
Machine Learning Operations
Front End Software Development
Terraform
Docker
User Administration
Microservices

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.

Requirements

  • 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

About the company

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!, 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.

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