Senior Software Development Engineer, Engagement Security

Amazon is hiring a Senior Software Development Engineer, Engagement Security. It pays $168k-$227k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this software engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The listed pay starts close to the typical software engineer posting on Level.
Tools and skills the posting cites include PyTorch, TensorFlow and LLMs.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Build and operate large-scale distributed systems and security infrastructure that support AI/ML and LLM workloads.

PyTorchTensorFlowLLMs

computer-visionnlpdistributed-systemsinfrastructuresecurityautomationincident-response

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.

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

How we rate this

Senior Software Development Engineer, Engagement Security at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Software Development Engineer, Engagement Security is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $168k-$227k a year.
The role is based in US, VA, Herndon.
The job was posted on July 17, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionNLPDistributed SystemsInfrastructureSecurityAutomationIncident ResponsePyTorch

Also common in software engineer jobs at this level

Java Kubernetes AI agents TypeScript C++React

Pay

This job starts at: $168k
Typical software engineer job: $167k

This posting starts close to the typical software engineer job. See software engineer jobs

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
What NLP problem have you worked on, and how did you measure whether it actually worked?
Tell me about a project where distributed systems was part of your work. What did you do?
Tell me about a project where infrastructure was part of your work. What did you do?
Tell me about a project where security was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Computer vision, NLP, Distributed Systems, Infrastructure, and Security. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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