Systems Dev Engineer II - GenAI-Driven Ops Automation

Amazon Inc.; Herndon, Northern (VA, KY); Hybrid; USD 129,000 - 175,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

RSUs

Paid time off

Job summary

Amazon Web Services, Inc. in Herndon, VA, is seeking a Systems Development Engineer II for Managed Operations to balance day-to-day operations with long-term software engineering aimed at reducing operational toil.

You will work on operability, reliability, and efficiency across AWS regions, collaborating with diverse teams and leveraging GenAI tools. The role emphasizes solving complex problems, building automation, and driving improvements in production systems, with opportunities for

Qualifications

• 3+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience.
• Experience programming with a modern language (Python, Ruby, Go, Java, C++, C#, Rust).
• Experience with Linux/Unix.
• Experience with CI/CD, DevOps practices, and Generative AI technologies.

Responsibilities

• Build solutions to innovate agentic-first interfaces.
• Solve challenging technical problems, often not solved before, at every layer of the stack.
• Define system requirements and participate in the development and delivery of operability-related features such as system health monitoring, diagnostics, repair, and other self-healing automation.
• Develop or further existing application and system management tools and processes that reduce manual efforts and increase overall efficiency.

Skills

Python

Linux/Unix

CI/CD

GenAI

Networking basics

Job description

Amazon Web Services, Inc. in Herndon, VA, is seeking a Systems Development Engineer II for Managed Operations to balance day-to-day operations with long-term software engineering aimed at reducing operational toil.

You will work on operability, reliability, and efficiency across AWS regions, collaborating with diverse teams and leveraging GenAI tools. The role emphasizes solving complex problems, building automation, and driving improvements in production systems, with opportunities for