Senior Search Engineer, Elasticsearch, Scala

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Contribute to, develop, and sustain backend services that enhance the food search experience, integrating with systems from various engineering teams.

• Take ownership of search performance optimization from start to finish, encompassing data design, indexing strategies, query assessment, and ongoing relevance enhancement in Elasticsearch.

• Assess and adopt search and data technologies that enhance result quality and elevate user experience.

• Collaborate with a senior search engineer, product management, and leadership on discovering solutions, planning experiments, and executing deliveries.

• Develop or enhance tools, processes, and metrics for measuring and monitoring search quality and system performance.

• Convert product requirements into technical strategies, launch ranking and relevance experiments, and establish clear success metrics.

⛳️ Requirements

• Proficiency in Elasticsearch (production + scale).

• Proven experience in Elasticsearch performance tuning, query analysis, and relevance optimization at scale.

• Solid understanding of index design, mapping strategies, scoring/ranking mechanics, and cluster management.

• Experience with high availability, disaster recovery, and operational monitoring for Elasticsearch clusters.

• Knowledge of clustering strategies and the capability to deploy new indexes or clusters for load balancing or experimentation.

• Ability to implement ranking/relevance experiments with well-defined success criteria and measurement strategies.

• Extensive experience in writing, deploying, and maintaining Scala services in production.

• Comfortable working within a tech stack that includes SQL and Python, with Scala as the primary programming language.

• Experience in deploying production code leveraging AI development tools such as Claude Code, Cursor, or similar.

• Familiarity with agentic coding patterns and workflows beyond simple autocomplete, utilizing AI for acceleration in code generation, refactoring, debugging, and test authoring.

• Direct experience in building, scaling, and supporting large-scale data infrastructure systems in a production environment.

• Strong understanding of database and data architecture best practices, including performance optimization across various data stores (MySQL, MongoDB, DynamoDB, Redis, etc.).

• Experience with high-volume messaging systems such as Kafka.

• Familiarity with cloud platforms like AWS, GCP, or similar.

• Strong habits in peer code review and a quality-first engineering approach.

• Additional experience utilizing AI workflows for substantial development acceleration throughout the full software development life cycle (SDLC) from design to delivery.

• Previous work on search relevance, ranking systems, or experimentation frameworks within consumer-facing products.

🏝️ Benefits

• Influence real-world AI-driven projects across vital industries.

• Join a global team that offers equal opportunities for collaboration across different continents and cultures.

• Flourish in an inclusive environment that emphasizes continuous learning, innovation, and ethical AI standards.