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Amazon Lab126 is looking for Embedded Security Engineer to research and prototype detection methods to identify malicious activities to protect our consumer devices. If you enjoy analyzing attack techniques (e.g., hardware and application stack), analyzing system services, operating systems, networks and applications from a security perspective, and you are skilled at discovering security issues that appear under new threat scenarios, this position will provide you with challenging opportunities. Once your prototype for abuse detection and defense mechanism is validated, you will work with software developers in your team to bring those new techniques to our consumer devices. The team has many opportunities to innovate in the device security field (e.g., Hardware security, Linux/Android Security, Machine Learning, Big data, etc.).
About the team
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
- 4+ years of non-internship background in troubleshooting systems issues, analyzing logs, or automating complex tasks using command line tools experience
- 5+ years of work in identifying security issues and risks, and developing mitigation plans experience
- 4+ years of (non-internship) scripting, programming, and security code review in common programming languages experience
- Knowledge of at least two of the following programming languages: Scala, Java, Python, C/C++, or Go
- Experience (non-internship) in scripting, programming, and security code reviewing in a common programming language
- Experience (non-internship) in troubleshooting systems issues, analyzing logs, or automating complex tasks using command line tools
- Experience working in identifying security issues and risks, and developing mitigation plans
- Experience (non-internship) in industry-based security vulnerabilities identification, attack patterns, and remediation techniques
- Experience as a mentor, tech lead or leading an engineering team
PREFERRED QUALIFICATIONS
- Experience applying threat modeling or other risk identification techniques or equivalent
- Experience with security in service-oriented architectures/microservices and web services
- Experience with security in service-oriented architectures and web services
- Knowledge of system security vulnerabilities and remediation techniques, including penetration testing and the development of exploits or equivalent
- Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Knowledge of network and web related protocols (e.g., TCP/IP, UDP, IPSEC, HTTP, HTTPS, routing protocols)
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, TX, Austin - 178,400.00 - 226,700.00 USD annually