System Development Engineer, GenAI and Agentic ADC

About the Role

The GenAI and Agentic ADC Developer Experience team is at the forefront of delivering AWS Agentic AI cloud services to customers in classified environments. The team is 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 US ADC and GovCloud regions, driving automation investments, and delivering open-source solutions, the team is at the forefront of modernization. Teams are innovating new ways of building massively scalable distributed systems and delivering the next generation of cloud computing with AWS DevOps Agent and Kiro.

We are seeking a System Development Engineer who can think big and simplify solutions to complex problems, all while ensuring customers continue to have the best experience possible. A successful System Development Engineer 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 services in classified environments. They will drive the resolution of technical issues and work diligently to improve the customer experience.

Key Responsibilities

• Develop, build, and operate AWS Agentic AI services that enable customers to optimize their data.
• Support services running in GovCloud and US ADC regions.
• Dive deep to resolve operational challenges.
• Innovate to automate operational tasks.
• Build open-source solutions for customers.
• Support execution of various security campaigns (blocked software, host patching) and parity programs.
• Work cross-functionally to foster a constructive dialogue, harmonize discordant views, and lead the resolution of contentious issues.
• Influence technical strategy and architectural decisions within the team and with partner teams.
• Make data-driven decisions.
• Bring best practices in operational and engineering excellence by actively contributing to ticket resolution, infrastructure improvements, and service deployments.

Requirements & Tech Stack

• Strong Linux & Networking Fundamentals: Deep experience working with Linux, preferably in a large scale, distributed environment. Understanding of networking technology and how servers and networks inter-relate. Regular participation in deep-dive troubleshooting and technical post-mortem discussions to identify root causes of complex issues.
• Strong Software and Systems Skills: Deep experience working with systems in a large scale, distributed environment. Understanding of networking technology and how servers and networks inter-relate. Comfort facilitating deep-dive troubleshooting and leading technical post-mortem discussions to identify root causes of complex issues.
• Love to solve problems: Passion for leading teams to solve difficult technical problems related to AWS service builds and operations in US government environments. Solid understanding of systems design, operations, automation, and process improvement.
• Think Big: Build and deploy solutions across thousands of devices. Strive to improve and streamline processes to allow for work on a massive scale.
• Love to code: Building tools in Java or solving complex system problems in Python. Solid understanding of software development methodology.

Qualifications

• Associate's degree or above, or CND (Certified Network Defender) or GSEC (GIAC Security Essentials).
• Experience in automating, deploying, and supporting infrastructure.
• Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust.
• Experience with Linux/Unix.
• Preferred: Experience with CI/CD pipelines build processes.

Security Clearance

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.