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# Site Reliability Engineer - Software Ops and Scaling , One Material Handling System - Software, Controls and Science

- **Company:** Amazon.com, Inc.
- **Location:** Nashville, TN, United States
- **Salary:** $94,200.0 - $160,000.0
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), C Sharp (Programming Language), C++ (Programming Language), Computer Programming, Linux, DevOps, Python (Programming Language), Reliability Engineering, Ruby, Rust (Programming Language), Reliability of Systems, Build Process, Golang
- **Published:** June 16, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/27765794/Site-Reliability-Engineer-Software-Ops-Scaling-One-Material-Handling-System-Software-Controls-Science-Tennessee-Nashville-7375

## About the Role

Experience in automating, deploying, and supporting infrastructure

 - Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
 - Experience with Linux/Unix

Preferred Qualifications

 - Experience with CI/CD pipelines build processes

## Description

Do you thrive on improving processes and creating efficient, scalable solutions? Are you passionate about bridging the gap between development and operations? Join our team as a Software Operations and Scaling, DevOps Engineer to drive technical excellence in our automation infrastructure.

As a key member of our team, you'll shape the future of automation DevOps at scale, working with exciting systems while driving process improvements that impact operations daily. You'll be instrumental in bridging development and operations, creating efficient, reliable, and scalable solutions for our growing automation infrastructure., Design and implement automation frameworks for deployment, monitoring, and maintenance of automated systems

 - Architect and drive continuous improvement initiatives for system CI/CD pipelines
 - Develop and implement service improvement strategies for system reliability and performance
 - Create scalable monitoring and diagnostic solutions for complex systems
 - Lead technical process improvements across development and operations teams
 - Drive standardization of DevOps practices across automation systems
 - Collaborate with other support teams to enhance operational efficiency
 - Implement predictive maintenance and monitoring solutions


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