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Amazon

Software Development Engineer II, Amazon Vulnerability Management Services

Amazon is hiring a Software Development Engineer II, Amazon Vulnerability Management Services in Austin, United States. It pays $144k-$194k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
  • The posting mentions Bedrock, SageMaker and AI agents among its tools and skills.
  • Level classes it as a mid-level role.
  • Amazon has 20,000+ other open roles on Level.

AI in this role

bedrocksagemaker
ai-agents
At Amazon, security is one of our highest priorities. The Amazon Vulnerability Management Services (AVMS) organization is responsible for discovering vulnerabilities, assessing their risk, and ensuring remediation within SLA across all AWS and SDO. Within AVMS, the Discovery Insights Foundry (DIF) team serves as the central analytics and reporting platform for how security data is defined, governed, and consumed.

We are seeking an experienced Software Development Engineer to join the DIF team and help build AI-driven, executive-level leadership reporting that gives senior leaders real-time insight into the state of Vulnerability Management across AWS. You will build a product from the ground up, spanning interactive data visualization, data analytics pipelines, AI-powered agent orchestration, MCP (Model Context Protocol) services, and team-level operational integration. The product will enable both a high-level organizational view and a drill-down capability for leaders to dive deep into specific areas.

This is a unique opportunity to combine full-stack software engineering with AI/ML, data engineering, and security domain expertise. The systems you build will be used by VP and Director-level leadership to make decisions that directly affect the security posture of the world's largest cloud provider.

Key job responsibilities
- Architecture Design and Review
- Software Feature development in Java and Python using AWS services (S3, Lambda, SQS, Fargate/ECS, EMR, Spark, etc.)
- Setting and achieving a high bar for Operational Excellence
- Earning trust in all directions; building partnerships with technical internal Amazon stakeholders WW
- System resilience testing and preparation
- Software project planning using Agile Methodologies (Scrum/Kanban)

A day in the life
You will work at the intersection of software engineering, data analytics, and AI. On a given day, you might build a new visualization component for the leadership dashboard, develop an AI agent that automates a weekly status report, write a data pipeline that merges vulnerability metrics from multiple upstream systems, or design an MCP service that enables other teams to integrate with your reporting platform. You will partner closely with security engineers, data engineers, and program managers across AVMS to ensure leadership has a trusted, unified, and timely view of the organization's vulnerability posture.

The DIF team operates with a startup mentality inside a large organization. You will have direct impact on the product direction and will see your work in front of senior security leadership. The team values rapid iteration, creative problem-solving, and high-quality engineering.

About the team
The Discovery Insights Foundry (DIF) is a team within Amazon Vulnerability Management Services (AVMS). Our mission is to provide trusted, standardized, and actionable security metrics and insights that enable AVMS leadership, domain teams, and compliance partners to make timely, data-driven decisions at Amazon scale. We serve as the authoritative layer between raw security data and the people who consume it.

Tech stack
Java, Python, TypeScript/React, AWS services (Lambda, DynamoDB, S3, Step Functions, QuickSight, Bedrock, SageMaker), data pipeline tooling, and generative AI frameworks. Experience with any of these is a plus but not required for all.

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

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 programming with at least one modern language such as Java, C++, or C# including object-oriented design

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

How we rate this

Software Development Engineer II, Amazon Vulnerability Management Services at Amazon rates 24 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

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

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsBedrockSageMaker

Also common in software engineer jobs at this level

Pay

This job starts at
$144k
Typical software engineer job
$168k

This posting starts 14% below the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Walk me through how you've used Bedrock in your day-to-day work.
  3. What are the limits of SageMaker that you've run into, and how did you work around them?

Adapt your resume

  • List these exact terms on your resume: AI agents, Bedrock, and SageMaker. 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.

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