Skip to content
EnglishDeutsch

Cloud DevOps Engineer (m/f/d)

On-site
  • München, Bayern, Germany
Azure Infrastructure

Job description

At Machine Learning Reply Germany, we work with our clients on leading-edge projects for which we are seeking Cloud DevOps Engineers to serve our cloud-based client projects in multiple industries.

Machine Learning Reply, with its sister company in Italy and over 10.000 employees at Reply globally, is a fast-growing consultancy focused on solving problems with data intelligence and the right organizational frameworks as their backbone. We offer tailor-made end-to-end solutions in the Cloud Ecosystem that cover the entire project lifecycle – from the initial strategy consultation and planning to implementation and final hand-over to the client.

Whether you are an experienced Cloud DevOps Engineer or just graduated having gained first experience in cloud infrastructure development and cloud engineering - if you never lose focus, love coding, and are passionate for bringing your ideas to life - then we want to hear from you!


Responsibilities
  • Design innovative, technical approaches for cloud solution architectures (Azure or AWS) from complete green field approaches to complex migration scenarios
  • Develop sophisticated cloud architectures while also considering requirements in terms of security, legal, multi-tenancy and access policies
  • Design and implement test, staging, and production environments in Azure or AWS, Kubernetes, or On-Premises
  • Automate recurring tasks by state-of-the-art CI/CD pipelines, enabling your customers to significantly reduce their time to delivery
  • Take care of the necessary monitoring, failover, and recovery infrastructures that allow our customers to operate the delivered solutions with ease
  • Closely interact with customers and stakeholders to translate concrete and complex business requirements into production-ready infrastructures
  • Collaborate with various disciplines such as enterprise architects, analysts, data scientists or data engineers to develop data-intensive applications such as data warehouses, data lakes and/or data platforms
  • Be the connecting element between software developers and operational teams, transforming latest features into production-ready solutions



What We Offer You

  • Flexible working hours, an attractive salary and a competitive overall package (e.g., 30 days of vacation)
  • Flexible work environment between client, Reply office and home office
  • Very active group social program, including trainings, knowledge-sharing sessions, conferences, team buildings, group events, Reply Exchange, communities of practices and hackathons
  • Trainings and certifications are encouraged and paid to foster your personal development
  • You choose your state-of-the-art work equipment
  • Access to our mobility scheme with Job Rad and public transport tickets
  • Gym-membership subsidy for a gym of your choice
  • Work in an open, flat environment, within a broad Reply knowledge-sharing-network
  • Working in a modern company, with the dynamics of a start-up and the security of a corporation. We are driving digital change in small, innovative, international teams.
  • Award winning office spaces for an excellent work experience and access to "Stammstrecke"

Job requirements

  • Bachelor´s / Master’s degree in Computer Science or related fields (e.g., engineering, statistics, informatics)
  • Practical experience with Microsoft Azure or AWS or substantial knowledge with on-premises solutions
  • Proficiency with Linux, Infrastructure as Code (IaC) solutions such as Terraform or configuration management solutions such as Ansible is mandatory
  • You have hands-on experience with DevOps tools (GitLab CI, Jenkins, etc.) and possess a strong understanding of the concepts
  • Practical experience with SQL and NoSQL databases (MongoDB, Redshift, Snowflake)
  • You are familiar with setting up workflow orchestration (Apache Airflow, Dagster, etc.)
  • Understanding the advantages and practical use of main and feature branches
  • Knowledge about networks, distributed computing solutions, application scaling and databases is an advantage
  • Ability to convincingly communicate project and development results within project structure
  • Fluent in English and able to speak German at least at a B1 level


What are you waiting for?

Join our team at Machine Learning Reply in Munich, Berlin, Hamburg or remote from all across Germany!

or