System Dev Engineer II, Analytics ADC

System Dev Engineer II, Analytics ADC

Amazon Web Services (AWS)

Final date to receive applications:
Jan 28, 2026

The Analytics Agentic AI Gov Cloud team is at the forefront of delivering AWS Agentic AI cloud services to our customers in Gov Cloud environments. We are dedicated to pushing the boundaries of what is possible in this rapidly evolving field, leveraging the power of cloud computing and the latest advancements in data technologies. With a focus on expanding Agentic AI services across Gov Cloud regions, driving automation investments, and delivering open‑source solutions, we are at the forefront of modernization.

Our teams are innovating new ways of building massively scalable distributed systems and delivering the next generation of cloud computing with Amazon Q products like Q Business, Q Developer and Kiro.

We are seeking a Systems Development Engineer II who can think big and simplify solutions to complex problems, all while ensuring our customers continue to have the best experience possible!

A successful Systems Development Engineer II joining the team will be an innovator, building solutions and working closely with Amazon's largest and most demanding government customers to address their specific needs across a suite of Analytics services in Gov Cloud environments. They will drive the resolution of technical issues and work diligently to improve the customer experience.

The candidate selected must obtain and maintain a security clearance at the TS/SCI with polygraph level. Upon start, the selected candidate will be sponsored for a commensurate clearance for each government agency for which they perform AWS work.

Key job responsibilities

• Be great fun to work with. Our company credo is “Work hard. Have fun. Make history”. The right candidate will love what they do and instinctively know how to make work fun.
• Have strong Linux & Networking Fundamentals. The ideal candidate will have deep experience working with Linux, preferably in a large scale, distributed environment. You understand networking technology and how servers and networks inter‑relate. You regularly take part in deep‑Dive troubleshooting and conduct technical post‑mortem discussions to identify the root cause of complex issues.
• Have strong software and skills. The ideal candidate will have deep experience working with systems in a large scale, distributed environment. You understand networking technology and how servers and networks inter‑relate. You are comfortable facilitating deep‑Dive troubleshooting and leading technical post‑mortem discussions to identify the root cause of complex issues.
• Love to solve problems. The ideal candidate will love leading teams to solve difficult technical problems related to AWS service builds and operations in air‑gapped cloud environments. You have a solid understanding of systems design, operations, automation, and process improvement.
• Think Big. The ideal candidate will work on projects building and deploying solutions across ADC partitions and regions. You will strive build a culture to improve and streamline processes to allow for work on a massive scale.

A day in the life

As a Systems Development Engineer II in Analytics, you will build innovative solutions, expand services into Gov Cloud regions, and improve our operations to provide resiliency and the best experience for our customers. You influence technical strategy and architectural decisions within the team and with partner teams and make data‑driven decisions. You bring in best practices in operational and engineering excellence by actively contributing to ticket resolution and infrastructure improvements.

Successful candidates will be expected to show leadership on strong Bias for Action, Invent and Simplify, Insist on the Highest Standards, and Deliver Results.

You will develop, build, and operate AWS Agentic AI services that enable customers to optimize their data. Our engineering teams support services running in air gapped regions that are isolated from the public internet creating unique engineering challenges and opportunities for innovation. The Analytics team is responsible for diving deep to resolve operational…