Senior Search Engineer, Elasticsearch, Scala

🕒 March 25

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Solvd, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2010

☁️ SaaS

🤝 B2B

🏢 Enterprise

SaaS • B2B • Enterprise

Solvd, Inc. is a global software engineering and consulting company that delivers comprehensive end-to-end solutions. Founded in 2011, Solvd offers core engineering services, including software development for web and mobile platforms, digital experience and design, data and AI/ML solutions, and cloud platform modernization. The company is an AWS partner and is known for optimizing resources, solving complex problems, and enhancing user satisfaction. Solvd emphasizes innovation and quality assurance, employing over 800 international professionals across 8 offices worldwide. The company prides itself on transforming businesses by providing feature-rich digital products, manual testing, automation, and employing cutting-edge technology solutions. Their proprietary tools like Zebrunner and Carina aid in improving development and QA processes. Solvd operates with a focus on collaboration, top talent cultivation, and customized technical solutions tailored to individual client needs, serving clients across 15 countries.

📋 Description

• 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

🎯 Requirements

• Elasticsearch (production + scale) • Demonstrated experience with Elasticsearch performance tuning, query analysis, and relevance optimization at scale • Strong understanding of index design, mapping strategies, scoring/ranking mechanics, and cluster management • Experience with high availability, disaster recovery, and operational monitoring for Elasticsearch clusters • Understanding of clustering strategy and the ability to deploy new indexes or clusters for load balancing or experimentation • Ability to implement ranking/relevance experiments with clearly defined success criteria and measurement plans • Strong experience writing, shipping, and maintaining Scala services in production • Comfortable working in a stack that includes SQL and Python, with Scala as the primary language • Experience shipping production code using AI development tools such as Claude Code, Cursor, or similar • Familiarity with agentic coding patterns and workflows beyond autocomplete, using AI for acceleration in: code generation, refactoring, debugging, test authoring • First-hand experience building, scaling, and supporting large-scale data infrastructure systems in production • Strong grasp of database and data architecture best practices, including performance tuning across data stores (MySQL, MongoDB, DynamoDB, Redis, etc.) • Experience with high-volume messaging systems such as Kafka • Familiarity with AWS, GCP, or similar cloud platforms • Strong peer code review habits and a quality-first engineering mindset. • Additional experience leveraging AI workflows for meaningful development acceleration across the full SDLC (design to delivery) • Prior work on search relevance, ranking systems, or experimentation frameworks in consumer-facing products.

🏖️ Benefits

• Shape real-world AI-driven projects across key industries • Be part of a global team with equal opportunities for collaboration across continents and cultures • Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.