Sr. Software Development Engineer, AWS Security

At Amazon, Security is our highest priority. Are you interested in shaping the

future of security for AWS, our customers, and the broader open source

community? Do you want to be part of building something with massive impact? Our

AWS Security Customer Outcomes Team is looking for strong software engineers as

we help improve the security of open source software and the safety of the

software supply chain generally.

Today is just the beginning, and we want you to be part of our journey to

innovate the way in which our users experience security. Our systems operate on

a global scale across a diverse ecosystem of field teams, security requirements,

and tooling.

We are seeking a Senior Software Engineer to define, design, build, and operate

AI-powered security solutions across the full pipeline of open source software

usage. You will build intelligent automation that augments manual

identification, analysis, and remediation workflows, enforces security

guardrails for agents and human experts, and provides data-driven insights to

AWS leadership. This is a high-autonomy role requiring the ability to work with

both internal and external stakeholders to elicit key needs and independently

develop solutions from whiteboard to production while mentoring and upskilling

security engineers on the team.

Key job responsibilities

Key Responsibilities

• Architect and build AI-powered security applications and tooling — Design and
• implement LLM-based systems (leveraging Bedrock, SageMaker, and RAG patterns)
• for intelligent code scanning, severity assessments, and remediation
• alternatives.
• Transform manual processes – Reimagine and deliver change from low throughput,
• human-dependent processes into high volume, machine speed pipelines without
• sacrificing key quality metrics.
• Collaborate with and influence other leaders – The open source ecosystem has
• many stakeholders, and change requires listening and supporting but also
• influencing and leading through action.
• Drive proactive security automation — Build systems that identify and remediate
• security issues in deliverables (code, threat models, content) without requiring
• explicit builder consent at every step, moving from reactive reviews to
• proactive prevention
• Own operational excellence — Define and maintain SLAs, monitoring, alerting,
• runbooks, and incident response for services you own; participate in on-call
• rotation to support 24/7 availability
• Lead technical design — Produce design documents, conduct trade-off analysis,
• and drive alignment across organizations.
• Raise the engineering bar — Mentor security engineers, conduct code and design
• reviews, and contribute to team standards; proactively upskill existing SecEngs
• toward SDE capabilities where appropriate

About the team

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.

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

• - 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
• - Knowledge of Machine Learning and LLM fundamentals, including transformer
• architecture, training/inference lifecycles, and optimization techniques
• - Experience contributing to open source projects (e.g., submitting pull
• requests, reviewing code, filing or triaging issues) and driving features or
• fixes upstream into third-party open source projects used in production systems.

Preferred Qualifications

• - 5+ years of full software development life cycle,
• including coding standards, code reviews, source control management, build
• processes, testing, and operations experience
• - Bachelor's degree in computer science or equivalent
• - Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU
• or other AI acceleration hardware
• - Experience maintaining or co-maintaining an open source repository, including
• issue handling, release management, and community moderation.
• - Experience with open source security practices such as vulnerability
• disclosure, dependency auditing, or the use of AI to analyze and remediate
• vulnerabilities.
• 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
• [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
• [https://amazon.jobs/en/benefits].
• USA, VA, Herndon - 168,100.00 - 227,400.00 USD annually