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About us You'll join MTS (Managed Trading Services) - the platform behind Sportradar's risk betting management, processing millions of bets in real time for operators around the world. Our teams own high-throughput, low-latency services: risk and liability, odds and offer, ticket validation, and the data plane that feeds them. We work in a modern cloud-native stack: Java (Spring Boot / Quarkus), Kafka / MSK, gRPC & Protobuf, AWS (EKS, ECS, DynamoDB, Aurora), ArgoCD / GitOps, Terraform, and observability on Grafana, Prometheus and OpenTelemetry. This is a great place to level up: you'll ship real features to production quickly, learn a genuinely rich domain, and grow toward owning larger pieces of it. The challenge - Design, build, test and ship backend services and APIs that are part of a larger, real-time system; and see them through to production. - Deliver in small increments. Break work into concrete, independently shippable pieces that land and get validated as you go, rather than accumulating into one big drop. - Own your changes in production; help with monitoring, alerting and the occasional on-call, and learn how your services behave under real load. - Write clean, well-tested, documented code, take part in code review, and help capture key decisions so the team can build on them. - Learn the MTS ecosystem; how the interconnected services fit together; and grow the independence to make more calls yourself over time. - Work with product managers and senior engineers to turn requirements into well-shaped, deliverable work. - Use modern, AI-assisted development; we actively encourage spec-driven, agentic workflows to move faster with quality. About you Must-have skills - 2+ years of professional experience with Java (Spring Boot, Hibernate, or similar modern frameworks) or another strong OO language. - Good grasp of computer science fundamentals and clean, testable code. - Solid understanding of automated testing; unit, integration, and API testing (JUnit, Mockito, or similar). - Comfortable with CI/CD and collaborative git workflows. - AI-assisted, spec-driven development as part of your day-to-day workflow; not just autocomplete. - Willingness to run what you build; going beyond writing code to owning your changes in production (deployment, monitoring, on-call). Nice-to-have skills - Exposure to AWS, Kafka, Docker / Kubernetes, or relational and NoSQL databases. - Familiarity with gRPC / protobuf, Rest API design, or event-driven systems. - Interest in IaC (Terraform), GitOps, or observability tooling. - Interest in betting, trading, or other real-time / high-throughput domains. Personal traits - Eager to learn; a complex domain and a modern stack, quickly. - Takes ownership of their work and wants to grow toward owning features end-to-end. - A collaborative teammate with good communication who asks questions and gives honest input. - Pragmatic, with a bias toward shipping small and often. - A positive, can-do attitude and a commitment to high professional standards. Our offer - A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia, and the US), including various social events and teambuilding. - Ability to shape your own workday and career via a clearly defined professional and personal development plan. - Opportunity to develop yourself within an inspiring and fast-growing company with our Career framework possibilities. - Vibrant and inclusive community, including Women in Tech and Pride groups, which welcome all participants. - Global Employee Assistance Programme. - Calm and Reulay app (managing stress, maintaining focus, improving sleep, building resilience). - Online training videos. - Flexible working hours. While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation; both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a fully on-site model, with team members working in the office five days a week to build relationships, exchange ideas, and grow together. Certain exemptions may apply depending on location; your local point of contact can provide further details. Our recruitment process - Initial screening: a quick video chat with our Talent Acquisition Partner. - Introduction interview: meet the technical team and hiring manager to dive into the team and your expertise. - Technical assessment: a short home task with emphasis on your AI-assisted, spec-driven development skills; showing how you use agentic workflows to deliver. - Final interview: discuss your solution and team fit with additional team members. - Final steps: feedback and, if successful, an offer. https://smrtr.io/B-Dps