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# Systems Development Engineer , Operations Infrastructure Services

- **Company:** Amazon.com, Inc.
- **Location:** Nashville, TN, United States
- **Experience:** Experienced
- **Salary:** $122,800.0 - $166,100.0
- **Contract:** Internship / Graduate position
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, C Sharp (Programming Language), C++ (Programming Language), Computer Programming, Software Design Patterns, Linux, Distributed Systems, Network Topologies, Python (Programming Language), Systems Development Life Cycle, Ruby, Software Engineering, Rust (Programming Language), Mobile Robots, Reliability of Systems, Build Process, Data Pipelines, Golang
- **Published:** September 21, 2026
- **Apply:** https://www.careerjet.com/job/usae213f2bd2b6106082d08e2f1ed93baf/eaa

## About the Role

3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience

 - Experience in automating, deploying, and supporting large-scale infrastructure
 - Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
 - Experience with Linux/Unix
 - Experience with CI/CD pipelines build processes
Preferred Qualifications

 - 3+ years of non-internship professional software development experience
 - Experience with distributed systems at scale, Description Are you inspired by solving complex automation challenges? Do you thrive on improving processes and creating efficient, scalable solutions? Are you passionate about…
 + 17 hours ago

## Description

Join us in building infrastructure monitoring applications that power Amazon's global operations. You'll design and deliver services that process high-volume device telemetry, evaluate network linkages in real time, and provide operators with clear, actionable insights across thousands of sites worldwide.
We're an agile development team within Operations Infrastructure Services (OIS), part of Amazon Robotics, assisting fulfillment centers, delivery stations, and sortation centers globally. Our monitoring product gives operators a single, reliable view of device and network health-from live infrastructure telemetry to reliance-aware alarming that points to root causes instead of overwhelming teams with duplicate alerts. You'll have the opportunity to apply modern AI technologies, from AI-assisted incident detection to generative AI tooling that accelerates how we build and operate our network.
You might start your day reviewing a design for integrating metrics from a new device type being onboarded across OIS sites worldwide, then inspect runtime metrics to tune collection thresholds and data quality before shipping a monitoring improvement operators experience immediately. You'll partner with teammates on design reviews, participate in quick feedback loops, and own features end-to-end - working alongside infrastructure teams to deliver the monitoring experience needed to reduce building downtime and assistance. Throughout the day, you'll balance designing scalable monitoring solutions with hands-on implementation, working across back-end services and data pipelines while assisting each other's growth and bringing your authentic perspective to the team., Design, build, and operate scalable monitoring infrastructure on AWS that ingests and processes high-volume device telemetry and network topology data

 - Own systems end-to-end across monitoring tooling and data pipelines, from build through deployment, operation, and ongoing maintenance
 - Partner with infrastructure and operations stakeholders to grasp monitoring gaps and translate them into reliable, automated solutions that reduce manual intervention
 - Apply AI/ML and generative AI techniques to improve detection quality, reduce alarm noise, and streamline operational workflows
 - Raise the bar on system reliability, operational excellence, and automation through thoughtful design, thorough testing, and continuous improvement
A day in the life
You might start by reviewing a design for integrating metrics from a new device type being onboarded across all Robotics buildings worldwide, then inspect runtime metrics to tune metric collection and quality before shipping a service improvement our operators experience immediately. Our team values partnership, quick feedback loops, and clear ownership.


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