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Cloud Engineer (m/f/d) at Machine Learning Reply. Location Information: Remote job. . At Machine Learning Reply, we . work with our customers on cutting-edge projects. for which we are . looking for Cloud Engineers. to support our cloud-based customer projects in various industries. To expand our team, we are looking for a talented and highly skilled consultant with a technical background to join our team. As a consultant, you will be responsible for providing expert advice and technical support to our clients.. If you're a cloud engineer. . or just starting out. in cloud infrastructure development and cloud engineering - if you never lose focus, love coding, data and AI, and are passionate about bringing your ideas to life - . then we want to hear from you!. Responsibilities:. Design innovative technical approaches . to cloud solution architectures on. AWS, Azure . or. GCP. , from complete greenfield approaches to complex migration scenarios.. Automate recurring tasks with . cutting-edge CI/CD . pipelines. , enabling your customers to significantly reduce their time-to-delivery.. Stay up to date. with the latest trends and advancements in cloud-based technologies, specifically in AWS, Azure and GCP.. Closely . interact with customers and stakeholders. to translate concrete and complex business requirements for . security. , . costs. and . operations. into production-ready . infrastructures. Collaborate with a variety of disciplines, . including enterprise architects, analysts, data scientists, and data engineers, to . develop platforms. for data-intensive workloads and applications. .. 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 € 3215 (Consultant) or € 4286 (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. .. ). Broaden your skills through interdisciplinary work and training in 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 training, 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 equipment. Public transport ticket with . Deutschlandticket. Gym-membership. . subsidy. for a gym of your choice. Flexible . work environment between client, Reply office, and remote work. . Requirements. . Minimum Job Requirements. / . Qualifications. :. Bachelor’s / master’s degree. in computer science or any other related fileds (e.g. engineering, statistics, physics).. First practical experience . with. Microsoft Azure, AWS. or . GCP . or substantial knowledge about . private cloud/. . on-premises. solutions.. Proficiency with industry standard . Infrastructure as Code (IaC). solutions like Terraform and . DevOps tools (GitLab CI, Jenkins, etc). Ability to convincingly . communicate and present r. esults to . management.. We cover the . full lifecycle of Data. , from Cloud Infrastructure, Data Engineering, Data Analytics, and Visualization to ML Engineering to and . MLOps. . . Interest and/or experience in some of those fields is an advantage. .. Fluent in . English. and able to speak German. at least at a B2 Level.. Desired. :. Extensive practical experience working in . cloud technologies (AWS, Azure . or . GCP) . as well as according certificates.. Understanding of . large-scale data processing. requirements (data models, . ETL. pipelines, workflow orchestration, distributed computing, databases, etc).. Kubernetes Know-How. and a passion for . DevOps Culture . are a plus. .