Senior Penetration Testing Engineer, AWS Generative AI Security

US, NC, Virtual Location - N Carolina

Applications have closed

Amazon.com

Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...

View all jobs at Amazon.com

Do you enjoy finding unique security flaws in artificial intelligence and cloud systems? Do you enjoy protecting customers by securing AI and AWS services at scale? Do you enjoy mentoring and leading engineers to solve complex security problems in cutting-edge technologies? On the AWS Gen AI security team, as a Senior Security Engineer you will be responsible for the delivery of continuous assessments. You will be asked to solve complex technology problems, build tools to automate your way out of manual efforts, and influence the way Amazon services, primarily Gen AI services respond to and mitigate threats.

Our team is responsible for manually evaluating the security of all Gen AI products, services and software released by AWS. We specialize in uncovering subtle vulnerabilities that automated tools miss, and develop custom tooling to scale our security efforts across Amazon's expanding Gen AI landscape. The AWS surface area is large and diverse, and we use insights from manual testing to continually improve our focused automation to proactively identify and fix potential issues before customers are impacted.

We are looking for a Senior Penetration Testing Engineer to help ensure our services, applications, and websites are designed and implemented to the highest security standards. You will be responsible for application and/or hardware penetration testing. You will be responsible for automating repetitive tasks using various scripting languages. You will be responsible for mentoring and leading other engineers to deliver complex penetration tests and vulnerability assessments. You will be expected to drive automation, tooling, efficiency and advance the teams penetration testing capabilities. You will be responsible for influencing Amazon services through the creation of threat mitigation plans. You will work directly with internal teams to solve challenging software and security problems.

Key job responsibilities
- Perform penetration testing complex proprietary software and hardware for AWS Gen AI services like Bedrock, Amazon Q, and Code Whisperer.
- Manually audit the source code of web services and software authored in house by Amazon
- Write proof of concept code to demonstrate the severity of a potential security issue
- Provide clear communication on issues to developers that suggest and help to test the fix
- Partner with AWS developers to drive improvement in application security as a result of security review engagements
- Provide actionable long-term risk mitigation guidance to internal and external stakeholder
- Conduct independent vulnerability research pertaining to Gen AI technologies


About the team
About Amazon Security

Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why Amazon Security?
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.

Inclusive Team Culture
In Amazon 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


- A Bachelor’s degree in Computer Science, Cybersecurity, Information Security, degree in similar technical field, or equivalent professional experience can be used in lieu of a degree.
- Minimum 2 years of experience in auditing AI/ML systems, models, and frameworks for security vulnerabilities.
- Minimum of 5 years of experience in security testing (Penetration testing, Vulnerability testing, Red teaming, bug hunting, CTF experience, or related field).
- Minimum of 5 years of experience with manually auditing source code (One or more of: Java, Ruby, Python, JavaScript, Rust, C, others) to find security issues.
- Minimum of 5 years of experience scripting in Python or other equivalent interpreted languages.
- Minimum of 5 years of professional experience with 2 or more areas of security engineering practices such as in web application security, network security, authentication and authorization protocols, cryptography, automation and other software security disciplines.
- Experience with AWS AI technologies and services (e.g. SageMaker, Code Whisperer, Bedrock, etc).

Preferred Qualifications

- Experience testing and securing distributed systems at AWS scale.
- Experience with the architecture of GenAI models, platforms, and applications.
- Knowledge of common AI/ML attack techniques such as prompt injection and ability to automate testing for these vulnerabilities.
- Ability to identify vulnerabilities and threats specific to GenAI and other AI/ML systems.
- Background in adversarial machine learning and emerging attacks like data poisoning, model extraction, membership inference, etc.
- Experience with languages commonly used in AI/ML like Python, R, Java, C++.
- Meets/exceeds Amazon’s leadership principles for this role.
- Meets/exceeds Amazon’s functional/technical depth and complexity expectations for this role.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

* Salary range is an estimate based on our InfoSec / Cybersecurity Salary Index 💰

Job stats:  5  0  0

Tags: Application security Artificial Intelligence Audits Automation AWS C Cloud Computer Science Cryptography CTF Generative AI Java JavaScript Machine Learning Network security Pentesting Python Red team Ruby Rust Scripting Vulnerabilities

Perks/benefits: Career development Flex hours Team events

Region: Remote/Anywhere

More jobs like this

Explore more career opportunities

Find even more open roles below ordered by popularity of job title or skills/products/technologies used.