• Contribute to, build, and maintain backend services that power the food search experience, integrating with systems across engineering teams • Own search performance tuning end-to-end, including data design, indexing strategy, query evaluation, and iterative relevance improvement in Elasticsearch • Evaluate and implement search and data technologies that improve result quality and user experience • Collaborate with a senior search engineer, product management, and leadership on solution discovery, experiment planning, and delivery • Build or improve tools, processes, and metrics to measure and monitor search quality and search system performance • Translate product requirements into technical plans, ship ranking and relevance experiments, and define clear success metrics

• Design and lead the development of scalable backend architectures, • Build and operate high-performance distributed systems using languages such as Java or Golang. • Define backend architecture patterns and standards used across multiple engineering teams. • Lead complex technical initiatives spanning multiple systems or product areas. • Design systems that support high availability, resilience, and long-term scalability. • Collaborate with platform, infrastructure, and data teams to ensure backend services integrate effectively across the platform. • Drive improvements in system performance, scalability, and operational efficiency. • Contribute to service decomposition, microservices architecture, and domain-driven design initiatives. • Design backend services that integrate with complex enterprise environments and external systems. • Ensure backend systems meet enterprise-grade security, reliability, and operational standards. • Improve system observability through logging, metrics, tracing, and operational insights. • Support production services and lead troubleshooting of complex cross-system issues. • Influence CI/CD and deployment practices to improve release safety and delivery velocity. • Establish and promote strong engineering practices including testing, code quality, and documentation. • Mentor engineers and provide technical leadership across backend engineering teams. • Partner with senior technical leadership to shape the long-term architecture and platform strategy.

• Design, build, and maintain scalable backend services and APIs • Develop high-performance distributed systems using languages such as Java or Golang • Design backend architectures that support high availability, scalability, and resilience • Collaborate closely with product, frontend, platform, and data teams to deliver end-to-end product capabilities • Design and optimise data access patterns across relational and distributed data stores • Contribute to service decomposition and microservices architecture where appropriate • Build backend services that integrate with complex enterprise environments and external systems • Ensure backend systems meet enterprise-grade performance, security, and reliability standards • Participate in architectural design discussions and contribute to long-term platform evolution • Implement strong testing strategies including unit, integration, and performance testing • Improve system observability through logging, metrics, and tracing • Support production services, troubleshoot issues, and contribute to incident response when required • Optimise backend performance, scalability, and system efficiency • Contribute to CI/CD pipelines to support safe, automated, and repeatable deployments • Maintain strong technical documentation for services and architecture

• Design and build scalable search and retrieval systems • Develop and maintain connectors to enterprise data sources • Build data pipelines that ingest, transform, and index customer data • Integrate with LLM providers to deliver context-aware agent capabilities • Own projects end-to-end from architecture through implementation