Systems Engineer - IT Data Management

AutoZone; Memphis (TN); On-site; USD 85,000 - 120,000; Full time

Job summary

AutoZone Data Management team seeks an experienced Systems Engineer focused on Python-based engineering, automation, and data workflow support. The role involves Linux/Unix system administration as a plus, with capacity planning and performance management to ensure reliable operations.

You will also work with REST APIs, Oracle stored procedures, and Java/J2EE applications as needed. Responsibilities include transitioning, implementing, and operating services and applications in production,

Qualifications

• Experience with Python development and automation scripting.
• Experience with ETL/data integration workflows and REST APIs.
• Familiarity with Linux/Unix system administration and Java/J2EE applications.

Responsibilities

• Support transition, implementation and production operation of services and apps.
• Focus on Python development, automation scripting and data workflows.
• Work with IaC practices such as Terraform and AWX-based automation.
• Support AI-enabled engineering practices and capacity/performance management.

Skills

Python

Automation

Linux/Unix

ETL/data integration

REST APIs

Java/J2EE

Oracle stored procedures

Infrastructure as Code

Terraform

AWX

AI-enabled engineering

Capacity planning

Performance management

Tools

Terraform

AWX

Oracle stored procedures

Job description

AutoZone Data Management team is looking for an experienced Systems Engineer to be part of a growing technology team supporting key business initiatives. This role emphasizes Python-based engineering, automation, data workflow support, and Linux/Unix system administration experience as a plus for improving automation and operational reliability, while maintaining the ability to understand and support Java/J2EE applications as needed.

As a Systems Engineer, you will support the transition, implementation, and production operation of services and applications, with a strong focus on Python development, automation scripting, ETL/data integration workflows, REST APIs, Oracle stored procedures, Infrastructure as Code practices such as Terraform, AWX-based automation where applicable, AI-enabled engineering practices, capacity planning, performance management, and a working understanding of Java/J2EE applications.

The role is expected to analyze situations and make decisions within a subsystem, apply subject matter expertise in a functional area, estimate and plan work for the assigned domain, solve technical problems with limited supervision, and communicate effectively with other teams and business groups.