Internship Application Software Engineer Jobs in Hernando, MS

SUMMARY

To deliver desired, sustainable business outcomes and assure the integrity and continuity of our systems. This position is responsible for the development, maintenance, and support of AutoZone's hardware, software and/or network systems. This includes teaching domain expertise, providing technical guidance and mentoring, supporting the customers, resolving problems, and training as required.

RESPONSIBILITIES

• Participate in any and potentially all roles of the systems development life cycle. Roles may vary by project and assignment.
• This may include, but not limited to:
• Develop, plan and/or maintain software applications and/or systems; debug, design, code, test, write specifications, roll-out software, and production support.
• Technical services; software, hardware and network architecture design and maintenance; security operations.
• Store engineering, coding based on design provided and roll-out implementation.
• Accurate work planning and execution; accurate project and time tracking.
• Responsible for the development of less experienced AutoZoners; mentor and teach.
• Responsible for defining code specifications and how systems will be constructed.
• Conduct code reviews.

REQUIREMENTS

• Bachelor's degree in Computer Science or related field preferred
• Typically requires eight to fifteen years experience based on consistently demonstrated capabilities.
• Knowledge of MS Office.
• Expert proficiency with the AutoZone software, architecture and methodology.
• Technical skills may include experience with one or more of: UNIX, Linux, Windows, Cobol, Java, MS SQL, C, C++, Informix, Greenplum, Hadoop, ATG, QT4, Oracle, PostgreSQL, DB2/SQL, JCL, CSP, CICS, TCP/IP, Networking and LAN administration.
• Advanced problem solving, domain technical and analytical skills.
•  Advanced expertise in at least one technical area. Subject matter expertise in more than one functional area.
• Teaching, coaching and mentoring.
• Advanced system estimation, planning and execution skills.
• Often provides technical supervision to others.

    Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, or a related field.
    Typically requires 7 to 10 years of software engineering experience, with strong hands-on experience building backend systems and search platforms.
    Strong experience with Elasticsearch, including indexing, mappings, analyzers, relevance tuning, query DSL, aggregations, and performance optimization.
    Strong Java development experience with hands-on expertise in Spring Boot, REST APIs, microservices, and enterprise application development.
    Experience building large-scale data indexing or data processing pipelines using Apache Spark, Google Cloud Dataproc, Dataflow, or similar technologies.
    Experience working with cloud platforms, preferably Google Cloud Platform.
    Strong understanding of distributed systems, API design, data modeling, observability, and production support best practices.
    Self-driven, highly accountable, and able to stay on top of priorities, risks, dependencies, and delivery commitments.
    A strong advocate for clean code, engineering excellence, automation, and continuous improvement.
    Proficiency with Claude Code or other agentic AI coding tools, with the ability to use them responsibly to improve development productivity, code quality, testing, and documentation.
 

    Lead the design, development, and implementation of ecommerce search capabilities using Elasticsearch.
    Develop and maintain scalable indexing pipelines using Apache Spark, Google Cloud Dataproc, and Dataflow.
    Improve search relevance, ranking, filtering, faceting, autocomplete, and product discovery experiences across ecommerce platforms.
    Partner with product managers, business stakeholders, and cross-functional engineering teams to understand search requirements and translate them into high-quality technical solutions.
    Mentor engineers on the team and help establish strong engineering practices, including clean code, test automation, observability, and operational excellence.
    Use Claude Code or other agentic AI development tools to improve productivity, accelerate delivery, and raise the quality of engineering output.