About the role

  • DevOps Engineer responsible for deploying and monitoring AI solutions at lector.ai. Collaborating with AI experts to enhance system performance and support client operations.

Responsibilities

  • Responsible for deploying, operating, and monitoring AI solutions in the production environment
  • Develop and optimize CI/CD pipelines
  • Ensure high availability and scalability of AI applications
  • Support customers with the daily operation of the platform
  • Identify and resolve technical challenges to improve platform performance
  • Implement monitoring and logging tools for system performance analysis

Requirements

  • Degree in Computer Science, Software Engineering, or a related field
  • Solid experience in operating and monitoring software applications, ideally in AI or machine learning
  • Hands-on experience with containerization technologies such as Docker and orchestration tools like Kubernetes
  • Experience developing and maintaining CI/CD pipelines
  • Strong analytical skills and the ability to understand and optimize complex systems
  • Team player with effective communication skills across diverse disciplines
  • German at C1 level or willingness to reach this level within a short timeframe.

Benefits

  • Corporate fitness program, BusinessBike, and a company boat
  • Company covers costs for e-learning courses of your choice
  • 30 days of vacation and option for part-time work
  • Top hardware, height-adjustable desks, and multiple monitors at each workstation
  • Naturally: organic fruit/vegetables, smoothie bar, unlimited ice cream, Thermomix and rice cooker, plus beverages (good coffee, mate, etc.)

Job title

AI-Ops Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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