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DevOps Engineer (m/f/d)

On-site
  • Munich, Berlin, Hamburg, Stuttgart, Germany-Remote, Bayern, Germany
Machine Learning Engineering

Job description

Machine Learning Reply, with its sister company in Italy and over 10.000 employees at Reply globally offers consulting and software implementation services with a focus on innovative AI and ML topics like Natural Language Processing, Computer Vision, Time Series Analysis, Machine Learning Platforms, and more.


In our Unit Machine Learning Engineering, we currently hire talents with Data Engineering and Cloud know-how who would like to develop not only PoCs but productive machine learning applications or platforms including automatic unit tests and end-to-end tests, automatic deployment pipelines, mechanisms for scaling in the cloud, monitoring solutions and operations support. We call this profile “Machine Learning Engineer”. You should love to see the ML algorithms working for millions of users, devices, sensors, etc., making the world a smarter, safer, more interesting, and/or more efficient place to live.

 

Tasks:

  • Through your knowledge you are able the design innovative, technical approaches for the development, improvements, and implementation of large-scale data processing infrastructures and related development processes
  • You are responsible for the design and implementation of test, staging, and production environments (Cloud, Kubernetes, or On-Premises)
  • You atomate recurring tasks by state-of-the-art CI/CD pipelines, enabling your customers to significantly reduce their time to delivery
  • You take care of the necessary monitoring, failover, and recovery infrastructures that allow our customers to operate the delivered solutions with ease.
  • You take care of the necessary documentation to operate the delivered solutions
  • As part of the Reply network, you join communities of practice, participate in hackathons, and use all available learning resources


What we offer you:
  • Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc.)
  • Broaden your skills through interdisciplinary work and training between the areas of data engineering, cloud architecture and data science
  • Benefit from industry leading cooperations in the cloud, BI and AutoML field
  • Very active social program - including trainings, conferences, team buildings, Reply Exchange, communities of practices and hackathons
  • Work in an open, flat environment, within a broad Reply knowledge sharing network
  • Award winning office space in downtown Munich with access to “Stammstrecke”
  • You choose your state-of-the-art work equipment
  • Public transport ticket within Munich
  • Gym-membership subsidy for a gym of your choice
  • Flexible work environment between client, Reply office and remote work

Job requirements

  • We are happy to see that you have a university degree in science or engineering or any related discipline. Related on-the-job training and multiple years of working experience are suitable as well. 
  • Hands-on experience for at least one major cloud provider (AWS, Azure, GCP) or experience with on-premises infrastructure or Kubernetes 
  • You are familiar with common scripting languages (Python, Bash) as well as common configuration file formats (YAML, JSON) and their templating options 
  • Knowledge about the Cloud-Native technology stack and its integration 
  • Knowledge of networking concepts, infrastructure design and debugging options 
  • Experience with the usage, design, and implementation of REST-APIs (e.g., FastAPI) 
  • Experience with Infrastructure as Code (IaC) concepts and frameworks like Terraform 
  • Knowledge of CI/CD frameworks (e.g. Jenkins, GitLab CI) and the GitOps, nice to have GitSecOps concept. 
  • Understanding of Linux, virtualization and container technologies and frameworks 
  • Knowledge about databases, big data processing frameworks and data pipelines as well as a passion for data is a plus 
  • Open mind to learn new technologies originating from different areas 
  • Fluent German and English skills round out your profile 

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