Senior Software Development Engineer, Engagement Security

Overview

AWS Engagement Security (Eng Sec) enables AWS colleagues and partners who work on behalf of AWS to meet AWS's high security bar when working with the public and our customers. We seek a Senior Software Development Engineer (SDE) to build and operate large-scale, distributed systems that power internal security services. You will lead the design, implementation, and operation of infrastructure and tooling that enable AWS teams to deliver for our customers while meeting our strict security requirements.

This role includes supporting AI/ML workloads, including Large Language Model (LLM) applications.

As an SDE, you will work closely with security engineers, machine learning engineers, project managers, and other SDEs. Your solutions will reduce the effort to deliver secure results, speed up and simplify security activities like code scanning and compliance analysis, and collect data about security to help AWS leaders make informed decisions.

• Design, build, and maintain reliable, scalable infrastructure that leverages AI to deliver faster, more resilient services to customers.
• Develop automation tools and frameworks to eliminate manual operational work.
• Mentor one or more developers on the team.
• Own the operational health of services, including monitoring, alerting, and incident response.
• Participate in on-call rotation to ensure 24/7 service availability.
• Collaborate with security and ML teams to improve system architecture and operational excellence.

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

• Bachelor's degree in computer science or equivalent.
• 2+ years of Linux systems administration and/or development experience.
• Knowledge of one or more ML Frameworks (e.g., PyTorch, Tensor Flow) and ML methods including NLP models (BERT, GPT-2/3), computer vision-based models (object detection, image recognition), and text-based models (Seq2
  
  Seq, Topic modeling).
• Knowledge of and proficiency in the use of Python scripting language.
• AWS certification, such as AWS Solutions Architect, or a similar cloud certification.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

Learn more about our benefits at (Use the "Apply for this Job" box below). .

USA, VA, Herndon -  -  USD annually

USA, WA, Seattle -  -  USD annually