Role Description You'll join our engineering team and work on the business side of the platform. Customer-facing features, back-office tools, and the workflows that make the bank actually run day-to-day. You'll pair with another engineer and collaborate closely with product, ops, risk, and customer support teams. We're looking for a backend engineer who thinks like a product engineer: - Someone who cares about the user problem behind the ticket. - Pushing back on specs that don't make sense. - Shipping things that actually solve the problem rather than just match the description. You should also be comfortable working with AI tools. Whether you love it or are skeptical, AI is part of how we build now. You don't need to come from a banking background, but you should be curious enough to learn the domain. Banking is messy, the specs are dense, and the regulations matter. The system does not work as the bankers specify it; it works as the developers understand it. Tasks - Build and maintain our backend. From new customer-facing features to the back-office tools our ops, risk and support teams use daily. - Take a problem from "product wants this" to "it's running in production": discuss the scope, design the data model, write the code, write the tests, ship it, watch it, fix what breaks. - Sit with product managers and front-end devs early enough to actually shape what gets built, not just implement it. - Work with the security and risk teams when what you're building touches money, customer data, or regulatory requirements (which is often). - Review your teammates' code seriously. Catch bugs, push back on shortcuts, and learn from what they're doing better than you. - When something is slow, broken, or annoying to work with, fix it instead of routing around it. - Define your own scope. Your perimeter is what you take over. Autonomy and initiative are non-negotiable. We don't have the time to tell you what to do, and we don't want to. Qualifications - You write Rust comfortably and have shipped it in production. You're not still fighting the borrow checker. - You're solid with PostgreSQL: you can design a schema, write a query that doesn't melt under load, and reason about transactions and indexes. - You're comfortable in AWS and with a normal git/GitHub workflow (PRs, reviews, rebases, the usual). - You can write clear English — in code reviews, in docs, in async messages. We don't all share a timezone, so writing things down well matters. - You sweat the details. In banking, the bug you didn't think mattered is the one that costs us money. Requirements - Not required, but big bonuses: - You've used Temporal, or built something similar yourself. - You've practiced DDD, CQRS, Event Sourcing, or hexagonal architecture on a real project (not just read the book). - You know payment systems — cards, SEPA, ledgers, ISO 8583, ISO 20022, Mastercard processing. Any of these is a plus. Benefits - Team: ~50 people, low ego, high trust. We hire carefully and we stick around. - Impact: every euro that flows through Green-Got is a euro not funding fossil fuels. The product matters. - Trust: you'll own real things quickly. No one is going to babysit your PRs. - Growth: the company is scaling fast and so is the scope of what you can take on. - Flexibility: full remote is the default. Work where and when you want, as long as the work happens. We meet in person every 3 months. - Challenge: core banking is genuinely hard. The requirements are strict, the edge cases are real, the regulator is watching. - PTO: 5 weeks base + ~2 weeks RTT.

• Perform data extraction, transformation, and loading (ETL) to align legacy data with target system requirements. • Edit and optimize government-provided SQL queries to meet size limitations and formatting requirements. • Configure, test, and execute SQL/JDBC queries from ServiceNow to import data into development, test, production, and sandbox environments. • Verify successful data imports, analyze results against system specifications, and identify mapping gaps or transformation issues. • Create and manage transform maps to load data into target tables within ServiceNow. • Execute XML export/import transformations and manage Excel data files for structured data imports. • Maintain reports and controls to track successful transformations, exceptions, and data integrity metrics. • Work with project teams to discuss progress, technical challenges, and overall data migration strategies.

Role Description We are looking for an experienced Senior Software Engineer who specializes in company-wide cross-cutting topics and acts as a technical expert for cross-thematic software components. In this role, you will develop core services and frameworks used across all development teams. You will collaborate closely with cross-functional teams to continuously enhance our platform and deliver high-performance, scalable, and efficient solutions. Your deep expertise in various software architectures will contribute to driving technical excellence throughout the organization. This role can be carried out either in a hybrid model at our Munich Headquarter or fully remotely, assuming residency in Leipzig. - Take ownership of the entire software development lifecycle, from requirements analysis and architecture to design, implementation, and deployment. - Analyze, evolve, and transform existing design patterns. - Design of composite high-level APIs to standardize these services for customers. - Selection and introduction of suitable patterns for complex business processes. - Collaborate closely with Quality and Operations Engineers to ensure the highest software standards. - Perform root cause analysis and performance tuning to identify and resolve bottlenecks. Qualifications - At least 5 years of professional experience in Java development (Java 11+). - Sound knowledge of Spring Framework (Boot, Security, Cloud). - Expertise in microservices architectures and event-driven design. - Extensive experience in CI/CD pipelines, Docker and Kubernetes, and Linux environments. - Knowledge of database design (SQL/NoSQL: PostgreSQL, Redis). - Experience in developing and maintaining centralized authorization services (OAuth 2.0, OpenID Connect, JWT). - Proficiency with message brokers (Apache Kafka, ActiveMQ Artemis). - Skilled in API design and management (OpenAPI, Swagger, Postman). - Familiarity with monitoring and observability tools (Prometheus, Grafana, ELK Stack). - Experience with build tools (Maven, Gradle) and version control (Git). - Scripting skills (Bash, Python) for automation tasks. - Very good written and spoken German and English skills. Benefits - Mobile working and flexible working time. - Collaborative, diverse company culture and superior team spirit. - Flat hierarchies and great feedback culture. - Development opportunities & career perspective. - International business & cross-site collaboration. - Modern, dog-friendly offices with nice amenities. - Company-paid health insurance, public transportation, lunch vouchers, and further benefits. Company Description Retarus is a worldwide provider of cloud-based messaging solutions at enterprise scale. We serve over 40% of the companies listed on the S&P Global 100, e.g., Adidas, Bayer, SAP, BNP Paribas, Goldman Sachs, T-Systems, Swarovski, and UPS, as well as governmental agencies and major players in markets across the world. Privately owned and founder-managed for over thirty years, Retarus is customer-oriented, stable, a fair employer, and a strategic business partner with a long-term vision. With some 500 employees in 19 offices on four continents, Retarus operates locally and thinks globally: our teams are organized across borders and are highly integrated. This makes Retarus a multicultural, multilingual, and engaging workplace. We are committed to creating a diverse and dynamic environment for our employees, with generous compensation, time off, and a global, collaborative workplace.

• Build integrations with healthcare and financial systems • Automate end-to-end data ingestion and delivery pipelines, with a strong focus on observability and data quality • Build GenAI features and chat to solve real problems and build user confidence, backed by rigorous evaluation loops and guardrails • Design high-throughput, low-latency systems where performance is a mission-critical requirement • Be the glue between our PhD-level Data Scientists and Front-end Engineers, taking raw outputs and building the APIs that drive a full, impactful product