[Hiring] Senior Search Engineer @Solvd

Role Description

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).

We are looking for an Elasticsearch Engineer with strong expertise managing and scaling Elasticsearch in large-scale production environments. This role will focus on stabilizing and optimizing an existing Elasticsearch deployment that supports high-traffic web applications, addressing current operational challenges, and ensuring the platform can handle peak traffic events.

The engineer will work closely with internal teams to troubleshoot performance issues, optimize indexing and query performance, and improve cluster reliability and scalability. A key part of the role will be identifying and resolving existing Elasticsearch pain points while ensuring the platform is prepared for high-demand periods.

• Manage, maintain, and optimize Elasticsearch clusters in production environments
• Troubleshoot performance issues and improve search and indexing performance
• Design and implement improvements for scalability, reliability, and cluster health
• Support high-traffic and peak event scenarios to ensure platform stability
• Maintain and improve the existing Scala-based indexing service
• Collaborate with engineering teams on the modernization of the indexing framework

Qualifications

• Elasticsearch (production + scale)
• Strong hands-on experience with Elasticsearch in large-scale production environments
• Experience scaling Elasticsearch for high-traffic applications
• Expertise in indexing strategies, shard allocation, query optimization, and performance tuning
• Experience troubleshooting Elasticsearch cluster issues
• Development experience with Scala
• Experience working in distributed systems or high-throughput platforms

Requirements

• 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

Benefits

• 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