In this role, you will engineer systems that help teams proactively detect problems across large-scale infrastructure. You will work with the Telemetry Engineering team to build software and services that generate, collect, and analyze network and infrastructure telemetry. The focus is on designing and maintaining agents that run on various compute platforms and building backend services for data processing and analysis. You will also be involved in debugging issues across the full stack and improving system performance and reliability.

• 3+ years of experience designing or architecting new and existing systems.
• Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, or Rust.
• Experience in automating, deploying, and supporting large-scale infrastructure.
• Experience with Linux/Unix.
• Experience with CI/CD pipeline build processes.
• Experience in networking, storage systems, operating systems, and hands-on systems engineering.
• Bachelor's degree in computer science or equivalent.
• Experience with distributed systems at scale.
• Experience working in an Agile environment.
• Experience with logging and monitoring tools such as AWS CloudWatch, Datadog, New Relic, and Splunk.
• Experience with embedded systems, consumer devices, or mobile apps.
• Experience with a systems language such as C, C++, or Rust for on-device or performance-critical software.
• Experience writing or maintaining agents or daemons that run on devices such as embedded Linux, Android, or network hardware.
• Experience with a network operating system such as SONiC, Junos, or a similar Linux-based platform.

• Design, build, and maintain software services that operate reliably at scale.
• Write and maintain agents that run across multiple device platforms, including network devices, Linux-based clients, and robotics platforms.
• Get into the low-level details of running software on varied hardware, including packaging, deployment, permissions, configuration, and service lifecycle.
• Build backend services that process, analyze, and distribute data and handle configuration, storage, and reporting.
• Debug problems across the full stack, from the operating system and networking layer on the device up through the backend services.
• Improve the performance, reliability, and quality of the systems the team owns.

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.