(AI-native) Backend Software Engineer

• Strong coding skills in Java, Scala, or Python and a passion for learning • Solid expertise in enhancing your engineering setup and workflow with AI dev tools • Excellent knowledge of SQL and relational databases • Solid system design skills that allow you to choose technologies and architectures wisely • Product acumen, ownership, and focus on value delivered for the customers • Working proficiency in English and Polish (both spoken and written) • Experience with Docker Swarm / Kubernetes • Experience with NoSQL databases and GraphQL • Experience with Kafka or other message brokers • Engineering @ Zowie • Engineering @ Zowie • Despite being a compact team, we efficiently manage and enhance a sophisticated system comprising over 100 microservices, predominantly coded in Scala and Java. These microservices communicate synchronously through gRPC, handle asynchronous calls via Kafka, expose GraphQL to the frontend, and leverage databases like PostgreSQL, Mongo, ElasticSearch, or Redis. We believe in automatic tests, and use of Ports and Adapters practices in our services. • At Zowie, our engineering ethos is centered around the tangible impact our work has on our users. It's not just about meeting predefined requirements. It's about having a substantial influence on the overall solution. We believe in the empowerment of our engineers to contribute not only to code but also to the strategic decisions that shape our product. This requires a holistic understanding of the business, the product, and the technology at play. Your expertise will enable you to connect the dots and provide valuable insights to guide the best course of action. • Autonomy and meritocracy are at the core of our values. We champion the idea that sound arguments should prevail. As part of the team, you'll be instrumental in shaping end-to-end solutions, influencing architecture decisions, and proposing crucial enhancements to our engineering practices. • Our daily routine aligns with industry standards, including regular planning sessions, standups, timely code reviews, and close collaboration with fellow engineers. We value efficiency and therefore the only constant you should expect is Retrospective. Everything else is being constantly adjusted to fit the changing needs. • AI-native culture: • AI-native culture: • Our team embraces AI as a fundamental part of how we work - not just for speed, but for creativity, documentation, and scale. We’re looking for people who are excited to develop within this space and contribute to such culture by bringing ideas to the table, and continuously evolving their approach to leverage emerging tools.