Senior Software Engineer, Elasticsearch, Scala

This is a fully remote position, open to applicants in Georgia, +5 more countries.

📋 Description

• Contribute to, develop, and sustain backend services that enhance the food search experience.

• Integrate backend services with systems throughout the wider engineering organization.

• Execute comprehensive search performance tuning, which includes data design, indexing, query assessment, and iterative improvements in Elasticsearch.

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

• Work alongside senior search engineers, product management, and leadership on solution exploration, experiment planning, and execution.

• Create tools, processes, and metrics to evaluate and monitor search quality.

⛳️ Requirements

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

• Strong knowledge of index design, mapping strategies, cluster management, and scoring/ranking mechanics.

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

• Capability to deploy new indexes or clusters for load balancing or experimental purposes.

• Proficiency in converting product specifications into technical requirements and executing ranking and relevance experiments with established success criteria and metrics.

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

• Comfortable working with SQL and Python; Scala serves as the primary programming language.

• Regular use of AI development tools such as Claude Code, Cursor, or similar AI-enhanced coding environments for production code.

• Understanding of agentic coding patterns and workflows, including code generation, refactoring, debugging, and test creation.

• Ability to explain how AI tools integrate into the development process and where human judgment remains essential.

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

• Strong grasp of database design, data architecture, and performance tuning across various 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 practices in peer code review.

🏝️ Benefits

• Equal opportunity employer.

• Inclusive environment that emphasizes continuous learning, innovation, and ethical AI standards.

• Opportunities to engage in real-world AI-driven projects across key industries.

• Global team collaboration spanning continents and cultures.