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    Senior Engineering, Test Engineering - San Francisco, CA, United States - Amazon

    Amazon
    Amazon San Francisco, CA, United States

    1 week ago

    Amazon background
    Description

    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.

    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 expected to drive automation, tooling, efficiency and advance the teams penetration testing capabilities. You will work directly with internal teams to solve challenging software and security problems.

    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
    Amazon Security values diverse experiences. 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.

    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.

    In Amazon Security, it's in our nature to learn and be curious. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.
    Training and 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.

    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

    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 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.
    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++.

    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

    Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

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