Our Tech department is the driving force behind one of the most successful start-ups since 2012. Based in Berlin, we have an innovative and driven team that is using cutting-edge technologies to redefine the used car market.
AUTO1 carries on operations in a large number of countries, working for our Retail inventory team you will help us to ensure an efficient information flow and the classification of the same. This is the key pillar for our product Autohero, guaranteeing accurate operation in the different markets in which we operate.
Join the Retail Team, a mix of strong engineers and technical hands-on managers, who operate from Berlin, Germany and Kyiv, Ukraine.
Share ownership of the entire development lifecycle. Investigate, architect, develop, ensure quality, ship, monitor and maintain business critical services and components
Solve complex problems. Use your experience paired with a hands-on and can-do attitude to raise the bar and drive platform innovation
Collaborate and communicate. Drive PoCs and refactorings and evangelize best practices. You are opinionated, but not dogmatic on various topics throughout software engineering
Contribute to improve our tech stack. We are mainly running on Spring 5, Java 11+, AWS ECS, Lambdas and many more. As Retail team we strive for platform innovation, questioning the status-quo and replacing it with cutting-edge tech is an inherent part of our day-by-day job
You are proficient in Java & the JVM and move comfortably within cloud and microservice environments
Docker and CI/CD flows are your daily bread and butter
Leveraging monitoring and tracing tools enable you to ensure quality and operational excellence
Self-reflection and endurance to constantly improve yourself by rounding up your profile
Advanced in JDK11+, AWS, PostgreSQL, Jenkins Job DSL, Terraform and Spring Framework is a plus
You understand software design patterns and principles such as chain of responsibility, DI/IoC, strategy and builder patterns, and these forms your daily professional work. You balance between design complexity, data and business flow.
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