Systems Engineer Enterprise Search

As a Software Engineer, Enterprise Search at AutoZone, you will contribute to building and enhancing the search platform that powers our store and digital experiences. You will develop and support scalable search solutions using Elasticsearch, Java, Spring Boot, Apache Spark, and Google Cloud Platform (GCP) services such as Dataproc and Dataflow to deliver fast, relevant, and reliable product discovery for our customers. You will collaborate with engineers and cross-functional teams to implement features, troubleshoot issues, and continuously improve our search capabilities. You will also build and support cloud-based solutions on GCP and leverage modern agentic AI tools such as Claude Code or similar platforms to improve development productivity, code quality, and delivery.

• Develop and enhance e-commerce search capabilities using Elasticsearch, contributing to the design, implementation, and ongoing improvement of search functionality.
• Develop and maintain scalable indexing and data-processing pipelines using Apache Spark and Google Cloud Platform (GCP) services such as Dataproc and Dataflow.
• Improve search relevance, ranking, filtering, faceting, autocomplete, and product discovery experiences across e-commerce platforms.
• Partner with product managers, business stakeholders, and cross-functional engineering teams to understand search requirements and translate them into high-quality technical solutions.
• Develop low-level designs (LLDs) for assigned features and participate with architects and senior engineers in establishing high-level designs (HLDs) and technical approaches.
• Develop comprehensive automated unit tests and maintain a target of at least 90%-unit test code coverage for new and modified code.
• Follow strong engineering practices, including clean and maintainable code, test automation, code reviews, CI/CD, and operational readiness.
• Implement clean, structured, and meaningful application logging to support troubleshooting, observability, and production support.
• Build and maintain operational dashboards, metrics, and alerts to enable continuous monitoring of application health, performance, and search services.
• Monitor production applications, proactively identify issues, and participate in the team's monthly on-call rotation to support production systems and incident resolution.
• Use Claude Code or other agentic AI development tools to improve productivity, accelerate delivery, strengthen test coverage, and improve the overall quality of engineering output

• Bachelor’s or master's degree in computer science, Software Engineering, Information Systems, or related field.

• 4+ years of software engineering experience developing backend applications and services.

• Hands-on experience with Elasticsearch, including indexing, mappings, Query DSL, relevance tuning, aggregations, and performance optimization.

• Strong Java and Spring Boot experience, including REST APIs, microservices, and enterprise application development.

• Experience with Apache Spark and Google Cloud Platform (GCP) services such as Dataproc, Dataflow, or similar data-processing technologies.

• Good understanding of unit testing, test automation, API design, observability, logging, and production support practices.

• Experience developing low-level designs and collaborating with architects and engineers on solutions and high-level designs.

• Experience with Claude Code or other agentic AI development tools to support coding, testing, documentation, and engineering productivity.