Systems Engineer — AWS EC2 Nitro & ML Platforms

Amazon Inc.; Santa Clara, Northern (CA, KY); Hybrid; USD 149,000 - 201,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is seeking a System Development Engineer for the EC2 Nitro team to drive development of ML platforms and ensure high uptime. You will maintain build/release systems and ship code across a global customer base, collaborating with teams to improve performance, availability and durability of data.

You will mentor junior engineers, write clear documentation, and help build reliable, scalable systems essential to AWS cloud infrastructure and services.

Qualifications

• 2+ years of non-internship professional software development experience.
• 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience.
• 7+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience.
• Knowledge of systems engineering fundamentals (networking, storage, operating systems).
• Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby.

Responsibilities

• Developing tools to streamline operations as we scale to reduce operational load and improve our overall operational posture.
• Identifying ways to increase the automate and improve our test infrastructure and make our CI/CD more robust and flexible
• Playing a key role in investigating and recommending best practices for maintaining and improving code quality, fleet health, and security & reliability of our service.
• Growing our talent through actively mentoring junior engineers, improving their skills, their knowledge of our systems, and their ability to get things done.

Skills

C++

C#

Java

Python

Golang

PowerShell

Ruby

Job description

Amazon.com Services LLC is seeking a System Development Engineer for the EC2 Nitro team to drive development of ML platforms and ensure high uptime. You will maintain build/release systems and ship code across a global customer base, collaborating with teams to improve performance, availability and durability of data.

You will mentor junior engineers, write clear documentation, and help build reliable, scalable systems essential to AWS cloud infrastructure and services.