Demo

Malware Researcher / Reverse Engineer - AWS, GuardDuty Security Analytics and AI Research

Amazon
Santa Monica, CA Full Time
POSTED ON 1/25/2025
AVAILABLE BEFORE 3/25/2025

DESCRIPTION

Amazon Web Services is looking for experienced Security Engineers to join the Security Analytics and AI Research group within AWS Security Services. This group is entrusted with researching and developing core threat detection and machine learning algorithms for Amazon GuardDuty (https://aws.amazon.com/guardduty/). On this team, you will invent and implement innovative solutions for never-before-solved problems. If you have experience with information security and a passion for malware research and reverse engineering, this will be an exciting opportunity.

The AWS Security Services team builds technologies that help customers strengthen their security posture and better meet security requirements in the AWS Cloud. We are building massively scalable and globally distributed security systems to power next generation services.

Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.
About AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
AWS 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.
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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & 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, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.



Key job responsibilities
* Research the latest malware detection evasion techniques, such as use of customized packers and anti-virus (AV) software bypassing. Based on research, you will design and develop signatures and tools to detect and mitigate those threats.
* Work with data scientists to help develop and test detections for attack patterns.
* Build tools and systems to analyze emerging threats.
* Work with customers in response to requests related to suspicious files or false positives that may require reverse engineering.
* Advise broader team on current threat landscape, tools & techniques.
* Influence others while demonstrating significant creativity.



A day in the life
As a Malware Researcher Security Engineer, you will reverse engineer and analyze malware to evaluate complex malicious code to determine malware capabilities and purposes. The scope of this role includes researching attack patterns, building attack simulations, active testing of defense strategies, and mentoring data scientists and software engineers. You will interact with many internal security teams to keep up to date with the latest attack techniques.

BASIC QUALIFICATIONS

- Bachelor's degree in computer science or equivalent
- 3 years of programming in Python, Ruby, Go, Swift, Java, .Net, C or similar object oriented language experience
- Knowledge of networking protocols such as HTTP, DNS and TCP/IP
- 5 years of experience with malware analysis, reverse engineering

PREFERRED QUALIFICATIONS

- Experience with AWS products and services
- MS in Computer Science or Computer Engineering or related quantitative discipline

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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. 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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Salary : $136,000 - $212,800

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