Telemetry Systems Engineer — Scale Infrastructure & Embedded

Amazon Inc.; Arlington (VA); On-site; USD 99,000 - 160,000; Full time

Benefits offered by this job

Health insurance

RSUs (restricted stock)

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC in Arlington, VA is seeking a System Development Engineer, I, to help build telemetry systems used across Amazon's operations. You will develop agents that run on diverse platforms and contribute to backend services that analyze and distribute metrics.

The role emphasizes low-level software on devices, Linux, and varied OS, plus collaboration with teams to deliver reliable data, troubleshoot issues, and write well-tested code.

Qualifications

• Experience automating, deploying, and supporting infrastructure.
• Experience programming in Python, Ruby, Golang, Java, C++, C#, or Rust.
• Experience with Linux/Unix systems.
• Familiar with software engineering best practices and agile methods.
• Strong troubleshooting and root cause analysis skills.

Responsibilities

• Build and maintain software and agents across multiple device platforms.
• Handle low-level deployment, packaging, and cross-OS configurations.
• Develop backend services to collect, process, and store telemetry data.
• Troubleshoot issues from device level to backend services.
• Write well-tested, maintainable code to improve system reliability.

Skills

Automation

Deployment

Infrastructure support

Python

Golang

Java

C++

C#

Rust

Linux

Troubleshooting

Root cause analysis

Kafka

SQL Server

MySQL

CI/CD

Embedded development

Networking tools

Tools

CI/CD pipelines

Kafka

SQL Server

MySQL

Job description

Amazon.com Services LLC in Arlington, VA is seeking a System Development Engineer, I, to help build telemetry systems used across Amazon's operations. You will develop agents that run on diverse platforms and contribute to backend services that analyze and distribute metrics.

The role emphasizes low-level software on devices, Linux, and varied OS, plus collaboration with teams to deliver reliable data, troubleshoot issues, and write well-tested code.