AWS Engagement Security (EngSec) 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.
Key job responsibilities
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
A day in the life Software Development Engineers embody Amazon's Leadership Principles, particularly:
Ownership: Design for long-term operational health
Dive Deep: Leverage the AWS platform to its fullest
Invent and Simplify: Innovate ways to reduce operational complexity
Learn and Be Curious: Stay current with emerging technologies including AI/ML and LLMs
Are Right, A Lot: We uphold the security bar for a large number of diverse global teams. We must be right.
This role works from the office
This role participates in on-call rotation
About the team
Diverse Experiences AWS Security values diverse experiences. We encourage you to apply even if you do not meet all of the qualifications and skills listed in the job description. If your career hasn’t followed a traditional path, don’t let it stop you from applying.
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Why AWS Security? Security is central to how AWS maintains customer trust and delivers delightful customer experiences. We are responsible for maintaining a high security bar across all of AWS's products and services.
Inclusive Team Culture In AWS Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.
Training & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
Basic qualifications
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
Preferred qualifications
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, TensorFlow) and ML methods including NLP models (BERT, GPT-2/3), computer vision-based models (object detection, image recognition), and text-based models (Seq2Seq, 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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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 https://amazon.jobs/en/benefits.
USA, VA, Herndon - 168,100.00 - 227,400.00 USD annually USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually
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