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Jobs / SuperBet / Senior Backend Engineer
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Posted 2026-05-06

Senior Backend Engineer

Description

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. About Superbet & Core Experience Superbet is building the future of entertainment across Europe and Brazil. With millions of monthly active users and over €1B in annual revenue, our Core Experience area owns the surfaces that shape how players discover, play, and engage every day. Within Core Experience, the Explore tribe drives the experiences that help players find what they love — from our homepage and navigation to our search and discovery systems. We’re now looking for a Senior or Staff Backend Engineer to help us build the next-generation Search platform that powers discovery across all of Superbet. The mission Today, our search experience is fragmented - each vertical (Sports, Casino, Superscore, Supersocial) maintains its own implementation, leading to inconsistent behavior, higher maintenance costs, and missed opportunities for discovery and conversion. Your mission will be to design, build, and scale a unified search platform that connects these experiences into a single, high-performing system capable of serving millions of queries per day. You’ll work at the intersection of backend systems, data pipelines, and relevance engineering — shaping how users find and explore content across products, platforms, and geographies.

Responsibilities
  • Design and implement distributed backend services that power real-time search and discovery across multiple product verticals.
  • Build and optimize indexing, retrieval, and ranking pipelines (e.g., combining BM25 keyword retrieval with vector embeddings and personalization signals).
  • Partner with ML, Infra, and Product teams to evolve search relevance, ranking, and experimentation frameworks .
  • Architect and evolve API contracts to support multiple clients (web, mobile, internal tools) with low-latency, high-availability performance.
  • Drive the technical direction for Search - influencing architecture, observability, scalability, and cost efficiency.
  • Contribute to a shared Search platform that other verticals (Sports, Casino, etc.) can extend and build upon.
  • Mentor engineers across the Explore tribe, raising the bar for backend design and operational excellence.
Requirements
  • 6+ years of backend engineering experience (preferably in distributed systems, data platforms, or search domains).
  • Deep knowledge of one or more backend languages (Python, Kotlin, Java, Go, Elixir) and proficiency in API design and microservice architecture .
  • Experience with search technologies (OpenSearch, Elasticsearch, Lucene, or vector databases such as Pinecone or FAISS).
  • Familiarity with indexing pipelines, ranking models, embeddings, or relevance tuning .
  • Hands-on experience with streaming and data processing frameworks (Kafka, Spark, Flink, Airflow, etc.).
  • Solid understanding of scalability, caching, and performance optimization in high-traffic systems.
  • Experience integrating backend services into CI/CD pipelines and monitoring via Datadog, Grafana, or similar tools .
  • Strong communication, collaboration, and the ability to work effectively in cross-functional teams.
  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Bonus points: Experience designing or operating multi-tenant or cross-domain platforms.
  • Bonus points: Background in search relevance, feature stores, or personalization pipelines .
  • Bonus points: Exposure to experimentation and A/B testing frameworks .
  • Bonus points: Comfort with infrastructure-as-code (Terraform, AWS CDK) and container orchestration (Kubernetes).
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