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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Backend Engineer - **Company:** Superbet & Core - **Location:** Girona, Spain - **Contract:** Permanent contract - **Skills:** Java (Programming Language), A/B Testing, Airflow, Apache Lucene, Distributed Systems, Elasticsearch, Python (Programming Language), Performance Tuning, Search Technologies, Data Streaming, Datadog, AWS Cdk, Grafana, Apache Spark, Caching, Backend, Kotlin, Kubernetes, Information Technology, Low Latency, Apache Flink, Integration Frameworks, Apache Kafka, Data Management, Api Design, Terraform, Data Pipelines, Api Management, Elixir, Golang, Microservices - **Published:** July 22, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## About the Role 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. Background in search relevance, feature stores, or personalization pipelines. Exposure to experimentation and A/B testing frameworks. Comfort with infrastructure-as-code (Terraform, AWS CDK) and container orchestration (Kubernetes). ## Description 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. What you'll do 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. Why this role matters Search is one of Superbet's most strategic growth levers - driving discovery, engagement, and conversion across all experiences. You'll shape the core architecture and evolution of a multi-tenant search platform serving millions of players. You'll have significant technical ownership and leadership visibility, collaborating directly with senior engineers, data scientists, and product leaders. 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