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Job details

At Machine Learning Reply  we strive to work on leading-edge technology projects with our clients for which we are seeking DevOps Engineer consultants with a strong technical background.

Machine Learning Reply, with its sister companies in Italy and Germany and over 15000 employees at Reply globally, is a fast-growing consultancy focused on solving problems with Web Development, Cloud technologies, Data Platforms and the right organisational frameworks as their backbone. We are a tight knit, laid back, but seriously motivated unit that aims to be involved at conferences and in community of practice with our tech partners.

We offer tailor-made end-to-end cloud-based solutions that cover the entire project life cycle - from initial strategy consulting to data architecture and infrastructure issues to data processing and deployment of production-ready solutions.

We have a vast expertise in every step of the product implementation spectrum in all key industries of the German HDAX-companies. With focus on open source and cloud technologies we enable our customers to successfully introduce and implement new data-driven solutions and to optimise already existing processes and products while simultaneously adapting to cloud technologies

Tasks

Use your DevOps know-how and work closely with our customers to help them assess and solve their most relevant pain points!

  • Design, implement, and manage continuous integration and continuous deployment (CI/CD) pipelines to streamline the software development lifecycle.
  • Use Infrastructure as Code (IaC) tools to provision, configure, and manage cloud and on-premise infrastructure efficiently.
  • Set up and maintain monitoring and logging systems to ensure system reliability, performance, and quick issue resolution.
  • Facilitate collaboration between development, operations, and other teams to align processes and ensure smooth project delivery
  • Implement security best practices and ensure compliance with industry standards throughout the development and deployment process.

What we offer you:

  • We offer you for this position according to the collective agreement for employees in data processing and information technology a gross monthly salary of at least € 1900 (Consultant) or € 2500 (Senior Consultant) depending on your previous experience.
  • Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc.)
  • Very active group social program - including conference funding, team building, group events, Reply Exchange
  • Recognition for Innovation to foster your personal development
  • Work in an open, flat environment, within a broad Reply knowledge sharing network (more than 90 autonomous Reply groups across 8 countries)
  • Training and certification encouraged
  • Home-office contracts
  • State-of-the-art work equipment
  • Gym-membership subsidy for a gym of your choice
  • Flexible work environment between client, Reply office and remote work

Qualifications:

  • We are looking forward to your completed studies in computer science, mathematics, physics or comparable
  • Fluent in at least one of the following programming languages: Python, Go, Bash/Shell, Ruby
  • An extensive experience containerization and orchestration technologiesDocker, Kubernetes, Helm, OpenShift
  • A hands-on experience with configuration management tools: Ansible, Puppet, Chef, etc.
  • An extensive experience of working with version control tools, such as Git and CI/CD Pipelines
  • An extensive experience of working with infrastructure as code (IaC): Terraform, AWS CloudFormation, Azure Resource Manager (ARM)
  • Experience with major cloud providers, such as AWS or Azure
  • Experience with monitoring and logging: Prometheus/Grafana, Splunk, Datadog  
  • Experience with agile development concepts like Scrum
  • Excellent German skills, good English skills, and willingness to travel if required by the project

What are you waiting for?

Join our team at Machine Learning Reply as a DevOps Engineer!

Apply now