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Senior Software Dev Engineer (Security), AWS Security Corporate Response

Senior Software Dev Engineer (Security), AWS Security Corporate Response at Amazon scores 60 out of 100 on AI centrality, which makes it a Level 3 role on this board.

US, WA, Seattleseniorfull-time$168k-$227k

AI in this role

Develop agentic security automations and tools to streamline threat response workflows for AWS global operations.

aws

software-developmentsecurity-automationagentic-workflows

Join us in developing and scaling security solutions that protect Amazon's global operations. As a Security Software Development Engineer, you'll create innovative automations and tools that transform how our security teams respond to threats and vulnerabilities. Your work will directly impact the productivity of security engineers worldwide and strengthen the security posture of AWS and for our customers.

Key job responsibilities
• Drive operational excellence by designing and implementing software processes, procedures, and intelligent automations that streamline security response workflows
• Build agentic automations that empower security engineers to work more efficiently and effectively
• Collaborate with global security teams to identify high-impact opportunities for automation and tooling improvements
• Leverage modern technologies and AWS services to create scalable solutions that enhance security operations
• Deliver software that delights users with measurable efficiency and productivity gains

About the team
AWS Security Corporate Response (CorpSec) protects the corporate network environment that enables all Amazon employees to innovate securely for our customers. We respond to security issues across the corporate network with speed and precision, ensuring the world's largest cloud provider maintains the highest security standards.

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.

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 with amazing outcomes, don’t let it stop you from applying.

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

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

Preferred qualifications

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
- Bachelor's degree in computer science or equivalent

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, WA, Seattle - 168,100.00 - 227,400.00 USD annually

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 DevelopmentSecurity AutomationAgentic WorkflowsAws

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 security automation was part of your work. What did you do?
Tell me about a project where agentic workflows was part of your work. What did you do?
What's a project where you used Aws hands-on?
Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

List these exact terms on your resume: Software Development, Security Automation, Agentic Workflows, and Aws. 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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