Backend engineer in sports betting

LeoVegas Group is building a world-class Sportsbook platform. Within the Sports domain, we work in a high-volume, real-time environment where speed, correctness, scalability and reliability are critical, building the services that transform incoming sports, trading and pricing data into experiences used by millions of customers.

• Lead architecture and design discussions for scalable, resilient and maintainable distributed systems, evaluating options through spikes, experiments and proofs of concept.
• Drive simplification of complex systems while holding a high bar for performance, reliability and code quality.
• Identify scalability, resiliency and operational risks before they reach production, and lead root cause analysis when incidents occur.
• Improve observability, monitoring and operational readiness, and drive down technical debt across the platform.
• Promote best practices around event-driven and reactive architectures, performance optimisation, testing, automation and CI/CD.
• Mentor engineers through design reviews, code reviews, pair programming and technical guidance.
• Partner with Product, Engineering Managers and Architects to translate business problems into practical solutions, and help shape and break down technical initiatives.
• Contribute to a culture of ownership, collaboration, continuous improvement and engineering excellence.

• Proven experience designing, building and operating distributed systems at scale, owning complex backend systems end-to-end in production.
• Strong backend expertise in Java (preferably 21+), with a solid understanding of JVM internals, concurrency and multithreading.
• Hands-on experience with Reactive Programming and non-blocking systems using Spring Boot and/or Vert.x.
• Hands-on experience with Apache Kafka and event-driven architectures; familiarity with streaming and messaging technologies such as Redis or NATS.
• Experience with Redis for caching and low-latency data access, and with SQL and NoSQL databases (e.g. PostgreSQL, MariaDB, MongoDB).
• Experience with observability and monitoring platforms such as Datadog, Grafana or Kibana, and with debugging complex production incidents.
• Strong system design and architectural decision-making, balancing latency, throughput, consistency, operational complexity and maintainability.
• Ability to influence technical decisions and communicate effectively with engineers, architects, product managers and other stakeholders.
• Будет плюсом: Experience with Kubernetes, AWS and/or GCP, and cloud-native architecture patterns; Experience with OpenSearch and/or Elasticsearch for search, analytics and operational troubleshooting; Experience building internal platforms, shared frameworks or developer productivity tooling, with a strong SRE mindset; Experience within sports betting, gaming or other real-time, data-intensive domains

• Competitive salary aligned with your experience, expertise and impact.
• A collaborative, inclusive and fast-paced engineering environment where ideas are welcomed, ownership is encouraged and continuous learning is valued.
• Hybrid work policy and 4 weeks of Workation (T&Cs apply).
• Benefits package - 800 PLN net (B2B)/gross (UOP) monthly with access to the cafeteria platform (private medical care, insurances, sports card).
• Training budget and the ICAS assistance programme for support during challenging moments.
• Complimentary snacks and drinks in the office, with complimentary breakfast on Mondays.
• Team and office social events throughout the year.
• Free parking for bicycles and motorcycles, and a free gym in the building.
• Equipment: MacBook Pro and smartphone (iPhone 16/17 or Samsung Galaxy S25).