UnternehmerTUM GmbH / appliedAI is looking for a
DevOps & Infrastructure Engineer (m/f/x)
Location: München or Heilbronn
About us
The appliedAI Initiative is Germany’s largest initiative for fostering the application of AI technology in the German industrial landscape. We shape Europe’s innovative power in AI together with leading companies and tech players. We do this through close sparring and interaction with our partners on neutral ground based on delivering a unique set of assets and individual services. We build on deep technical expertise while focusing on applicability of the solutions. We create visions in the age of AI for Germany as a society, for us in a world of climate change as well as in our economy. We guide our partners to achieve their ambition in a world we want to live in.
We are looking for a DevOps Engineer to help our AI Engineering team transform the AI strategy of our partner companies. Each project can last from 3-12 months (all remote/from our offices) and be on a variety of topics, each of which is focused on helping our partner company use AI to create a new product or improve existing business processes. Together with our team of AI and Software Engineers, you will work on improving our development lifecycle. With the team, you will be responsible for building up our AI software Development Infrastructure across all layers, from network to cluster and process management. You will care for setting up Machine-Learning clusters, automating workloads, building up software/process management infrastructure, data pipelines, cloud solutions and drive automation to continue bringing the latest AI solutions to our partners. You will work as part of the engineering team with other DevOps to make our mission of «shaping Europe’s innovative power in AI» possible.
Candidates should have experience in building and maintaining software infrastructure, above average communication skills and a willingness to learn new skills. It would be advantageous to have a good understanding of business. As a DevOps engineer, you would be expected to take a lead role in supporting our home-grown state-of-the-art infrastructure.
Bring in solid understanding of, and experience with infrastructure as code, kubernetes clusters and application deployment automation and testing.
Build software and hardware infrastructure as part of the appliedAI team to support the development and operation of novel AI applications.
Support and improve our GitOps infrastructure.

Your profile
B.Sc. / M.Sc. / Ph.D. or strong experience in software development.
Experience in infrastructure development projects using kubernetes.
Experience in system architecture and network design.
Experience in scripting and automation, in particular with python and using Ansible or Terraform.
Experience with Git, Gitlab or Github
Experience maintaining internet facing applications and virtualized environments.
Good analytical and problem-solving skills.
Good communication skills.
A team player attitude and a willingness to learn new things.
It would be advantageous to have
Experience with scalable networking technologies, microservice architectures and security.
Experience managing clusters for distributed computing running Spark, Dask or similar systems.
Conversational German or better.
Ability to independently manage critical situations and handle customers.
What we offer
A highly qualified and motivated team of ~50 people is on a journey to change the rapidly changing European AI Landscape. ~25 of us have a strong scientific, engineering or CS background.
Developing cutting edge MLOps technologies
Opportunity to work on a variety of projects
Want to learn about robotics, autonomous drones or smart factories? All of this is happening at appliedAI
You will have access to the newest technology in the AI domain. We operate clusters with ML optimized systems such as NVIDIA-DGX or IBM Power9 servers, we work with beta software of our partners and test other novel hardware systems like FPGA accelerators or Franka Emika robots. You can also use this for your personal projects
An atmosphere that encourages thinking and experiment in new ways with software and hardware – guaranteed impact with new ideas
A highly visible initiative that helps you build a large and high level network of start-ups, partners, and tech companies
Budget and time to visit important conferences, read papers and develop your skills with the team – potentially showcasing results at relevant events
Internal seminar in machine learning and computer science
Hackathons organized by UTUM
Pick your own hardware
(Optional) after work Fridays and monthly dinners
Please submit your application here
Juliane Haspel (HR Business Partner)
UnternehmerTUM GmbH, Lichtenbergstraße 6, 85748 Garching bei München
Tel.: 089/189469-1249