GenAI-Powered Systems Development Engineer II

Amazon Web Services (AWS)

Herndon (VA)

On-site

USD 129,000 - 175,000

Full time

21 hours ago
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Job summary

Amazon Web Services, Inc. seeks a Systems Development Engineer to join the Managed Operations organization in Herndon, VA.

You will balance day-to-day production operations with long-term software engineering to reduce operational toil and improve reliability, performance, and efficiency across AWS regions. The role emphasizes learning, GenAI-powered acceleration, and collaboration with diverse teams to build scalable infrastructure and tooling, while upholding security and operational

Qualifications

  • 3+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience.
  • Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
  • Experience with Linux/Unix
  • Experience with CI/CD pipelines, DevOps practices, and Generative AI technologies

Responsibilities

  • Build solutions to innovate our solutions to agentic-first interfaces
  • Solve challenging technical problems, often ones not solved before, at every layer of the stack
  • Define system requirements, 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
Ruby
Golang
Java
C++
C#
Rust
Linux/Unix
CI/CD
Generative AI

Tools

Git
Docker
Kubernetes

Job description

Amazon Web Services, Inc. seeks a Systems Development Engineer to join the Managed Operations organization in Herndon, VA.

You will balance day-to-day production operations with long-term software engineering to reduce operational toil and improve reliability, performance, and efficiency across AWS regions. The role emphasizes learning, GenAI-powered acceleration, and collaboration with diverse teams to build scalable infrastructure and tooling, while upholding security and operational

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