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Software Development Engineer- GEN AI, NextGen Security Automation

Amazon

Software Development Engineer- GEN AI, NextGen Security Automation

Amazon

Austin, TX, USA

·

On-site

·

Full-time

·

4w ago

Compensation

$143,700 - $194,400

Benefits & Perks

Healthcare

401(k)

Equity

Parental Leave

Mental Health

Flexible Hours

Healthcare

401k

Equity

Parental Leave

Mental Health

Flexible Hours

Required Skills

Software Development

Object Oriented Design

System Design

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.

The Next Gen Security Automation team is looking for a skilled and driven Software Development Engineer (SDE II) to build autonomous security solutions that protect Amazon’s customers. As an SDE II, you will leverage AI/ML technologies to automate detection, analysis, and response across proactive, offensive, and defensive security at scale. Your work will directly enhance Amazon’s security posture by improving detection capabilities, strengthening guardrails, and advancing automated security tools.

  • Key job responsibilities
  • Design and develop AI/ML-driven security automation systems to detect and mitigate threats at scale.
  • Build and maintain scalable applications that enable real-time threat detection and response.
  • Collaborate with security teams to enhance existing security practices, guardrails, and tooling.
  • Develop automated detection systems integrated into Amazon’s security infrastructure.
  • Research and prototype new security solutions, evaluating design approaches for technical feasibility.

A day in the life
Your day kicks off sipping your morning coffee while diving into the future of autonomous security at Amazon. You're not just coding - you're architecting intelligent systems that drive proactive, offensive, and defensive security at Amazon scale. Working alongside top security engineers and scientists, you're building automated systems that will protect millions of customers across one of the world's largest tech ecosystems. Every line of code you write helps safeguard Amazon's vast digital landscape. It’s a fast-paced environment where you’ll work with advanced technology to build security solutions that protect millions of Amazon customers.

About the team
The Next Gen Security Automation team builds AI-driven security solutions that protect millions of Amazon customers while ensuring strong data governance. We thrive on innovation, collaboration, and solving complex security challenges at scale. DEI is central to our work - we believe diverse perspectives drive stronger solutions. With a focus on automation and intelligence, we push boundaries to keep Amazon’s customers and their data secure.

Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the preferred 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.

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.

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 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.

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
  • 1+ years of Object Oriented Design experience
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
  • Experience programming with at least one software programming language

Preferred Qualifications

  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Experience with Cloud services such as Lambda, Bedrock, and Sage Maker
  • Experience building and integrating AI/ML-driven applications

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 - 143,700.00 - 194,400.00 USD annually
USA, VA, Arlington - 143,700.00 - 194,400.00 USD annually
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total / year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge