(Senior) Cloud Engineer (m/f/d)

At Machine Learning Reply Austria  we strive to work on leading-edge technology projects with our clients for which we are seeking Cloud 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

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.