Drimva

Amazon

Senior Software Development Engineer, Engagement Security

$168K–$227K

Seattle, WA +1 · Senior · Full-time · Posted Jul 17, 2026

Location
Seattle, WA
Herndon, VA
Experience
5+ years in each of the stated software development, programming, system design/architecture, and full software development lifecycle areas; leadership experience as a mentor, tech lead, or engineering-team lead.
Education
Bachelor's degree in computer science or equivalent (preferred).

About the job

Build and operate large-scale distributed infrastructure and tools for internal AWS security services, including support for AI/ML workloads and LLM applications.

What you'll do

  • Design, build, and maintain reliable, scalable infrastructure and automation tools that reduce manual work and simplify security activities.
  • Own service operations, including monitoring, alerting, incident response, and participation in a 24/7 on-call rotation.
  • Mentor developers and collaborate with security and ML teams on system architecture and operational excellence.

What they ask for

  • 5+ years of non-internship professional software development experience.
  • 5+ years of programming experience with at least one software programming language.
  • 5+ years leading design or architecture of new and existing systems, including design patterns, reliability, and scaling.
  • 5+ years of full software development lifecycle experience, including coding standards, code reviews, source control, build processes, testing, and operations; experience mentoring, serving as a tech lead, or leading an engineering team.

Nice to have

  • Bachelor's degree in computer science or equivalent; 2+ years of Linux systems administration and/or development experience.
  • Knowledge of ML frameworks and methods, Python, and AWS or similar cloud certification.

Pay

168,100.00 - 227,400.00 USD annually (base salary); 168,100.00 - 227,400.00 USD annually (base salary)

Tools

Linux, PyTorch, TensorFlow, BERT, GPT-2/3, Python, AWS

AI focus

Support AI/ML workloads, including LLM applications; build infrastructure that leverages AI and collaborate with ML teams. Preferred knowledge includes ML frameworks and methods such as NLP, computer vision, and text-based models.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)