MFP | Senior Search Engineer (Elasticsearch, Scala)

Colombia Remote March 19, 2026 Full Time

Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.

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. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.

Solvd is hiring a Senior Search Engineer to help build and optimize the services behind the food search experience for a large-scale consumer product platform. In this role, you’ll contribute to search services that integrate across multiple engineering teams, own end-to-end Elasticsearch performance and relevance tuning, and partner closely with senior engineers, product, and leadership on experimentation and delivery.

This is a hands-on role for someone with deep production experience in Elasticsearch + Scala, and a modern AI-augmented / agentic development workflow (Cursor, Claude Code, or similar).

What you’ll do

  • 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

Required qualifications

  • 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

  • Scala

    • 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

  • AI-augmented / agentic development

    • 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

    • Ability to clearly explain how AI tooling fits into your workflow and where human judgment remains critical

  • Engineering fundamentals

    • 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

Nice to have

  • 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

Tech stack / tools

  • Elasticsearch

  • Scala (primary)

  • SQL, Python (supporting)

  • Kafka

  • Cloud: AWS / GCP

  • AI development tools: Cursor, Claude Code, or similar AI-powered coding environments

When you join Solvd, you'll…

  • Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.

  • 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.

Ready to make an impact?

If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.

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