Enterprise Search Systems Engineer

Quick Facts

• Role: Systems Engineer, Enterprise Search (Software Engineer)

• Focus: Building and improving e-commerce search capabilities

Description

As an Enterprise Search Systems Engineer, you will develop and enhance a scalable search platform that powers product discovery across store and digital experiences. You will build search features (relevance, ranking, filtering, faceting, autocomplete), create indexing and data-processing pipelines using Apache Spark and Google Cloud services, and ensure production reliability through testing, monitoring, and operational best practices. You will also leverage agentic AI tools like Claude Code to improve engineering productivity and output quality.

Responsibilities

• Develop and enhance e-commerce search capabilities with Elasticsearch

• Design, implement, and maintain scalable indexing and data-processing pipelines with Apache Spark and Google Cloud services (Dataproc, Dataflow)

• Improve search relevance and user discovery experiences (ranking, filtering, faceting, autocomplete)

• Translate product and business search requirements into technical solutions

• Create low-level designs and collaborate on high-level architecture and approaches

• Write comprehensive automated unit tests with a target of at least 90% unit test code coverage for new/modified code

• Follow clean code, test automation, code reviews, CI/CD, and operational readiness practices

• Implement structured application logging for troubleshooting and observability

• Build dashboards, metrics, and alerts to monitor search service health and performance

• Monitor production systems and participate in a monthly on-call rotation for incident resolution

• Use Claude Code or similar agentic AI development tools to improve productivity and delivery quality

Requirements

• Bachelor’s or master’s degree in computer science, software engineering, information systems, or related field

• 4+ years of backend software engineering experience

• Hands-on Elasticsearch experience (indexing, mappings, Query DSL, relevance tuning, aggregations, performance)

• Strong Java and Spring Boot experience (REST APIs, microservices, enterprise application development)

• Experience with Apache Spark and Google Cloud Platform services like Dataproc and Dataflow

• Understanding of unit testing, test automation, API design, observability, logging, and production support

• Experience with low-level designs and collaboration on high-level designs

• Experience using Claude Code or other agentic AI development tools

Benefits

• Competitive pay

• Medical, dental, and vision plans

• 401(k) with company match and Stock Purchase Plan

• AutoZone “Living Well” program for free mental health support

• Career growth opportunities

• AutoZone discounts and perks

• Paid time off and additional full-time benefits (life, disability options, HSA/FSA, tuition reimbursement)