Senior Penetration Testing Engineer, AWS Gen AI Security

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
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

We are open to hiring candidates to work out of one of the following locations:

Arlington, VA, USA | Atlanta, GA, USA | Austin, TX, USA | Herndon, VA, USA | San Diego, CA, USA | San Francisco, CA, USA | Seattle, WA, USA | Virtual Location - USA

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 fiel