Level

Amazon

Senior Software Development Engineer , AWS Transform Migrations

Amazon is hiring a Senior Software Development Engineer , AWS Transform Migrations 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

  • Level rates this software engineer role Builds AI ●●●●: the job is building AI systems.
  • The listed pay starts close to the typical software engineer posting on Level.
  • Tools and skills the posting cites include AWS, EC2 and Vpc.
  • Level lists 21,000+ other open roles at Amazon.
  • The role was posted within the past week.

AI in this role

Senior software engineer building foundational infrastructure and agentic AI systems for automated application modernization.

awsec2vpc
ai-agentsai-automationdistributed-systemsagentic-aiinfrastructuresoftware-engineering
AWS Transform is responsible for building Agentic AI systems aimed at helping customers modernize applications to achieve cost savings, security, scalability, and resiliency. We build next-generation, agent-driven solutions that modernize enterprise workloads.

This position within the AWS Transform team presents a unique and rare opportunity to build the next generation of intelligent automation for software development, enabling AI agents to autonomously handle complex Agentic Development Lifecycle tasks, from infrastructure provisioning to deployment orchestration to continuous validation. We build the systems that let agents understand developer intent and execute multi-step workflows safely and with minimal human intervention, making the development lifecycle faster, safer, and more efficient.

Key job responsibilities
* Design and implement complex distributed systems with stringent latency and reliability requirements
* Architect scalable agent infrastructure including orchestration, state management, and tool integration
* Drive technical alignment across multiple engineering teams and stakeholders
* Collaborate with Product, Science, and customers to translate requirements into effective technical solutions
* Develop team members' technical capabilities through mentorship, knowledge sharing, and best practices
* Maintain strong focus on customer experience in all technical decisions

A day in the life
The successful applicant will help build the foundational infrastructure that powers agentic systems that let autonomous agents provision environments, run builds, validate changes, and execute multi-step workflows safely at scale.

As AI agents take on real engineering work, they need somewhere safe to do it: isolated, production-like environments that spin up on demand, enforce least-privilege access, and give agents the tools and signals they need to act confidently — without ever putting customer workloads or production systems at risk. That's what this team builds. You'll work on the execution substrate underneath agentic orchestration: on-demand environment provisioning, secure credential and access boundaries, build and validation pipelines, and the APIs and services that agents call to get real work done.

About the team
The team corresponds to highly skilled SDEs who have strong hold on core AWS infra technologies such as EC2, VPC etc and expertise around Agent development for hard problems such as spinning up an entire stack from just code. We internally call ourselves AutoFab team as we are building next generation Autonomous Fabric system.

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
-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

How we rate this

Senior Software Development Engineer , AWS Transform Migrations at Amazon rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  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 agentsAI AutomationDistributed SystemsAgentic AIInfrastructureSoftware EngineeringAWSEC2

Also common in software engineer jobs at this level

Pay

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

This posting starts close to 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. Tell me about a workflow you automated with AI tools, end to end.
  3. Tell me about a project where distributed systems was part of your work. What did you do?
  4. Tell me about a project where agentic ai was part of your work. What did you do?
  5. Tell me about a project where infrastructure was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, AI Automation, Distributed Systems, Agentic AI, and Infrastructure. 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.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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