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Amazon

Senior Software Development Engineer, AWS Resilience, Incident Prevention

Amazon is hiring a Senior Software Development Engineer, AWS Resilience, Incident Prevention in Seattle, United States. It pays $168k-$227k 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 Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Pay on this posting starts in line with the typical software engineer posting on Level.
  • The posting mentions AWS, software development and distributed systems among its tools and skills.
  • Level classes it as a senior role.
  • Amazon has 20,000+ other open roles on Level.

AI in this role

Owns the technical architecture of AI-powered products and multi-step reasoning pipelines for AWS resilience testing.

AWS
software-developmentdistributed-systemssystem-architectureai-agents
Join the team with a mission to drive higher availability for every AWS customer! As a Senior Software Development Engineer on the AWS Incident Prevention team, you'll own products that help thousands of AWS service teams test and improve their resilience posture, and build the next-generation intelligence layer that detects, prevents, and remediates failure modes before they become incidents—directly reducing the frequency and duration of operational events across all of AWS.

The team is is building a unified detection-to-mitigation experience that meets engineers where they are in the software development lifecycle. Pairing deep technical expertise with customer-focussed product intuition, you will own the the technical architecture of AI-powered products that orchestrate resilience testing and turn complex incident data into quality-gated resilience insights that drive action. You will work backwards from customers to own the ideation, design, and delivery of high-quality software while making high-judgment trade-offs across customer impact, software complexity, security and reliability, and engineering velocity. You will strengthen the culture of operational excellence on the team, and influence resilience practices across AWS teams.

Key job responsibilities
- Design, build, and operate scalable products that help AWS service teams test and improve resilience.
- Collaborate with stakeholders to deliver intuitive customer experiences that help AWS service teams identify, prioritize, and address resilience risks.
- Lead projects across multiple engineers, make high-judgment one-way-door technical decisions.
- Own architecture for AI-native systems spanning agents, knowledge bases, and multi-step reasoning pipelines.
- Deliver developer tools that surface resilience context in code reviews, deployment pipelines, and dashboards.
- Mentor engineers and raise the bar for software quality and operational practices.
- Collaborate with partner teams in Amazon to invent and simplify software.

Basic qualifications

- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language 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
- Bachelor's degree in computer science or equivalent
- Experience developing, deploying and managing AI products 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, WA, Seattle - 168,100.00 - 227,400.00 USD annually

How we rate this

Senior Software Development Engineer, AWS Resilience, Incident Prevention at Amazon rates 75 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.

  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

Software DevelopmentDistributed SystemsSystem ArchitectureAI agentsAWS

Also common in software engineer jobs at this level

Pay

This job starts at
$168k
Typical software engineer job
$167k

This posting starts close to the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where software development was part of your work. What did you do?
  2. Tell me about a project where distributed systems was part of your work. What did you do?
  3. Tell me about a project where system architecture was part of your work. What did you do?
  4. How do you decide when an AI agent can act on its own versus asking for approval first?
  5. Walk me through how you've used AWS in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Software Development, Distributed Systems, System Architecture, AI agents, 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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