Senior Software Engineer, Elasticsearch, Scala

• Contribute to, build, and maintain backend services powering the food search experience
• Integrate backend services with systems across the broader engineering organization
• Perform end-to-end search performance tuning, including data design, indexing, query evaluation, and iterative Elasticsearch improvement
• Evaluate and implement search and data technologies that improve result quality and user experience
• Collaborate with senior search engineers, product management, and leadership on solution discovery, experiment planning, and delivery
• Develop tools, processes, and metrics to measure and monitor search quality

• Demonstrated experience with performance tuning, query analysis, and relevance optimization in Elasticsearch at scale
• Strong understanding of index design, mapping strategies, cluster management, and scoring/ranking mechanics
• Familiarity with high availability, disaster recovery, and operational monitoring for Elasticsearch clusters
• Ability to deploy new indexes or clusters for load balancing or experimentation
• Ability to translate product specifications into technical requirements and deploy ranking and relevance experiments with defined success criteria and metrics
• Strong experience writing, shipping, and maintaining Scala services in production
• Comfortable working with SQL and Python; Scala is the primary language
• Active use of AI development tools such as Claude Code, Cursor, or comparable AI-powered coding environments for production code
• Familiarity with agentic coding patterns and workflows, including code generation, refactoring, debugging, and test authoring
• Ability to articulate how AI tooling fits into the development process and where human judgment remains critical
• First-hand experience building, scaling, and supporting large-scale data infrastructure systems in production
• Strong understanding of database design, data architecture, and performance tuning across multiple data stores such as MySQL, MongoDB, DynamoDB, Redis, or similar
• Experience with high-volume messaging systems such as Kafka
• Familiarity with AWS, GCP, or other cloud platforms
• Strong peer code review practices

• Equal opportunity employer
• Inclusive environment prioritizing continuous learning, innovation, and ethical AI standards
• Opportunities to work on real-world AI-driven projects across key industries
• Global team collaboration across continents and cultures