<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> When Data Calls, We Reply !<br/><br/>As a Platform &amp; Cloud Solutions Architect/Engineer your aim is to design architecture for Platform-as-a-service products using Open Source and Cloud tools and implement them. Therefore, we are looking for Architects / DevOps Engineers / Platform Engineers / Developers of different levels with different focus areas: Cloud, Distributed Systems, Orchestration, Monitoring, Automation.<br/><br/><strong>Activities<br/><br/></strong><ul><li> As part of our team, you will support our clients in the successful development and implementation of complex Big Data solutions . </li><li> You will use open source and cloud technologies to provide scalable and cost-efficient solutions to our customers. </li><li> You use your DevOps knowledge and scripting skills to provide automation and Infrastructure as Code approach. </li><li> Advise our customers in the areas of system architecture , monitoring and security concepts . </li><li> You are in regular contact with customers and stakeholders, and you communicate efficiently and professionally. <br/><br/><br/></li></ul><strong>Requirements<br/><br/></strong><ul><li> Successfully completed studies in (business) computer science, mathematics, physics or a similar qualification </li><li> Basic experience with Infrastructure as Code frameworks (e.g. Terraform, CloudFormation, Ansible, Chef, Puppet) and modern development practices (CI/CD, DevOps, GitOps, Agile, etc.) </li><li> Experience with one or more major public cloud providers (AWS, Google Cloud Platform, Azure) </li><li> Experience in containerization technologies and container orchestration ( Kubernetes , OpenShift, Docker, Mesos, etc.) </li><li> Experience with different distributed technologies (e.g. Spark, S3, Snowflake, DynamoDB, CockroachDB, HDFS, Hive, etc.) </li><li> Experienced with Java / Go / Python / Scala / other languages </li><li> Proficiency in English <br/><br/><br/></li></ul><strong>Team<br/><br/></strong>Data Reply, as part of the Reply Group, offers a wide range of services to help clients become data-driven. The team is active in various industries and business areas and works intensively with customers to help them achieve meaningful results through the effective use of data.<br/><br/><ul><li> Project team size at Data Reply: generally between 2 and 8 people<br/><br/><br/></li></ul><strong>Application Process<br/><br/></strong><ul><li> Technical Interview</li><li> HR Interview</li><li> Final talk regarding your contract :-)<br/><br/><br/></li></ul><strong>About The Company<br/><br/></strong><strong>Core Tech:</strong> AWS, Kafka, Spark, Elastic, Kubernetes, Flink, Cloud<br/><br/><strong>Core Topics - We are looking for experts in each:<br/><br/></strong><ul><li>Data &amp; Machine Learning Engineering</li><li>Event-Driven &amp; Streaming Applications</li><li>Modern Data Architecture &amp; Data Analytics Platforms<br/><br/><br/></li></ul>Data Engineer? ML Engineer? Platform Engineer? Streaming App Developer? - We are all Big Data Developers / Architects<br/><br/><strong>Data Reply</strong> is the Reply group company offering a broad range of <strong>advanced analytics and AI-powered data services</strong>. We operate across different industries and business functions, working directly with executive level professionals and Chief Officers enabling them to achieve meaningful outcomes through effective use of data.<br/><br/>We support companies in designing and implementing human-centered data products to turn embryonic ideas into enterprise solutions.<br/><br/>We are a Reply subsidiary and a consultancy company focused primarily on the use of distributed <strong>open-source and cloud technologies</strong> in the area of <strong>Big Data</strong>.<br/><br/>We leverage cutting-edge, <strong>state-of-the-art technologies</strong> to help our customers get the most <strong>value out of their data</strong>. Our customers and partners include some of the most prominent companies in Germany and Europe.<br/><br/> </div>