Software Development Engineer, AWS Vulnerability Management (AVM)

AI in this role

Build and maintain cloud security services and machine learning-based vulnerability prediction systems for AWS container infrastructure.

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software-developmentvulnerability-managementcloud-securitymachine-learningmicroservices

At Amazon, Security is our highest priority. Our team is responsible for assessing, triaging, and driving the remediation of container vulnerabilities across AWS's container ecosystem spanning Amazon ECS, EKS, and SageMaker. We partner with builder teams across AWS to get container fleets patched.Our team builds products and services to continuously identify, track, and mitigate security risks in container domain. We work with the latest technologies and encourage a lifelong learning model. We are never bored and always have interesting and challenging tasks to solve.

We're seeking an experienced Software Development Engineer to join our AWS Vulnerability Management team, responsible for building and maintaining critical security services that help protect AWS customers and infrastructure. Our team is at the forefront of cloud security, developing innovative solutions to identify and mitigate security risks before they can be exploited.

You'll be handling complex challenges related to scaling vulnerability management across AWS's ever-growing infrastructure. This role offers the opportunity to:

1) Build next-generation vulnerability management systems that operate at cloud scale

2) Design and implement machine learning-based vulnerability prediction and prioritization mechanisms

3) Work directly with AWS service teams to integrate security controls and vulnerability assessments

4) Collaborate with world-class security engineers and researchers to stay ahead of emerging threats

5) Participate in the full software development lifecycle, from design through deployment and maintenance

Key job responsibilities
Designing and building services that scale for millions of users and systems.

Driving new innovation in the Amazon/AWS ecosystem and "Think Big!"

Continually learn different technologies and architectures to ensure we have the correct solutions Java, Python, Big Data, Microservices etc.

Solving complex problems with elegant solutions by working across teams and organizations in Amazon.

Own your solutions and the entire life-cycle, from the roadmap to the architecture to implementation and continuous iterative development.

A day in the life
During a regular day engineers within our team work across multiple organizations and multiple technologies to ensure that AWS maintains the correct security posture. We partner with the compliance and application security teams to identify and work through any potentially impactful issues. We also define and maintain highly scalable solutions built on AWS Services to improve the visibility and tracking of security exposures worldwide.

The team is made up Security Engineers working together to ensure our solutions meet/exceed the needs of our customers and are scalable.

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

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 2+ years of experience in security engineering, with hands-on AWS experience (e.g., EC2, S3, Lambda, IAM)

Preferred qualifications

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- 2+ years of track record of building and automating builder-facing security tooling and guardrails at scale

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, VA, Arlington - 143,700.00 - 194,400.00 USD annually

How we rate this

Software Development Engineer, AWS Vulnerability Management (AVM) at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Software DevelopmentVulnerability ManagementCloud SecurityMachine LearningMicroservicesSagemakerJavaPython

Questions you could be asked

Tell me about a project where software development was part of your work. What did you do?
Tell me about a project where vulnerability management was part of your work. What did you do?
Tell me about a project where cloud security was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where microservices was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Software Development, Vulnerability Management, Cloud Security, Machine Learning, and Microservices. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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