Senior Software Engineer (Elasticsearch, Scala)

Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence . Following the acquisition of Tooploox , a premier AI and product development company, Solvd now offers true end-to-end delivery —from strategic advisory and solution design to custom AI development and enterprise-scale implementation. We are looking for a Senior Software Engineer (Elasticsearch, Scala) to join a team powering food search and logging for one of the world’s leading health and nutrition platforms. You’ll contribute directly to the systems that drive search — backend services, search infrastructure, and experimentation — with a focus on improving core metrics: conversion rates, time to log, query abandonment, and result relevance. Contribute to, build, and maintain backend services that drive the food search experience, integrating with systems across the broader engineering organization. Perform search performance tuning end-to-end — data design, indexing, query evaluation, and iterative improvement within Elasticsearch. Assist in the evaluation and implementation of search and data technologies that improve result quality and user experience. Collaborate closely with senior search engineers, product management, and leadership on solution discovery, experiment planning, and delivery. Contribute to the development of tools, processes, and metrics for measuring and monitoring search quality. Demonstrated experience with performance tuning, query analysis, and relevance optimization in Elasticsearch at scale. Familiarity with high availability, disaster recovery, and operational monitoring for Elasticsearch clusters. Strong experience writing, shipping, and maintaining Scala services in production. Comfortable working across a stack that also includes SQL and Python — Scala is the primary language for this engagement. Active user of AI development tools such as Claude Code, Cursor, or comparable AI-powered coding environments — shipping production code with them, not just using autocomplete. Familiarity with agentic coding patterns and workflows — code generation, refactoring, debugging, and test authoring. Able to articulate how AI tooling fits into their 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 — MySQL, MongoDB, DynamoDB, Redis, or similar. Familiarity with AWS, GCP, or other cloud platforms. Experience leveraging AI workflows for meaningful development acceleration beyond autocomplete — code generation, refactoring, debugging, and test authoring at scale. Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds.