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Senior Software Engineer - Developer Infrastructure, AWS EBS, EBS Server Agility

Amazon is hiring a Senior Software Engineer - Developer Infrastructure, AWS EBS, EBS Server Agility in Boston, 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, Ebs and Python 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

Lead the design of CI infrastructure featuring AI-powered developer tools that generate tests and predict failures for AWS storage services.

AWSEbsPython
distributed-systemsci-cdmachine-learningperformance-profiling
If building the platforms that enable hundreds of engineers to ship safely to one of the world's largest storage services excites you, the EBS Server Agility team is the place to do it. Our team builds and operates the continuous integration infrastructure that validates every code change to EBS server software before it reaches production — infrastructure that serves millions of AWS customers across 400,000 bare-metal servers.

We're looking for a Senior Software Development Engineer to drive the technical direction of our CI systems — from distributed test orchestration that runs thousands of test suites daily across heterogeneous hardware, to AI-powered developer tools that generate tests, predict failures, and surface regressions before they reach production. You'll lead the design of solutions to complex problems involving testing at massive scale, performance and memory profiling across multiple CPU architectures (x86 and ARM/Graviton), secure automated operations for CI infrastructure, and intelligent qualification systems that balance speed, cost, and coverage.

CI at EBS sits in the critical path for developer velocity and production quality. We shape how hundreds of EBS engineers develop, test, and qualify software for a storage engine that powers AWS. We regularly partner with principal engineers and teams across EC2 and EBS to deliver integrations that make development faster and safer. If you want your technical leadership to have real impact at AWS scale, and you're excited by building secure, intelligent systems that make engineers more productive, we'd love to talk to you.

Key job responsibilities
- Drive technical design and architecture for CI systems that validate EBS server code changes across multiple hardware architectures with fast, reliable signal

- Architect distributed test orchestration infrastructure that runs thousands of test suites daily, giving developers confidence in what they ship

- Drive shift-left testing strategies and quality frameworks that catch defects earlier in the development cycle — emphasizing quality, agility, frugality, and engineering efficiency across the CI pipeline

- Design intelligent test selection and qualification systems using AI/ML — cutting qualification time without sacrificing coverage

- Build secure, automated operational infrastructure for CI services — ensuring availability, observability, and autonomous recovery

- Design memory safety and performance profiling infrastructure that detects spatial/temporal errors, race conditions, and regressions at scale

- Drive toward AI-native CI — automated test generation, intelligent code review, predictive failure analysis, and debugging assistants

- Optimize CI infrastructure costs while maintaining quality (thousands of server-hours per release cycle)

- Lead design reviews, raise the engineering bar through code reviews, and establish best practices for CI reliability and developer experience

- Mentor engineers across levels and contribute to a team culture of technical excellence and operational rigor

A day in the life
Your work spans the full range of CI engineering — from investigating flaky test patterns and building automated detection systems, to designing intelligent test selection models that cut qualification time in half. You'll work on new compliance enforcement mechanisms that keep the development bar high, analyze CI data to identify systemic quality trends, and build AI-powered tooling that accelerates how engineers write and validate code.

This is a high-visibility role. CI decisions affect the velocity and confidence of every EBS server engineer, and your work is regularly reviewed by senior leadership. You'll partner with principal engineers and teams across EBS and EC2 on cross-service integrations, influence technical direction beyond your immediate team, and represent CI quality in discussions that shape how EBS develops software at scale.

We value senior engineers who lead through ambiguity, reduce toil through smart automation, make principled tradeoffs between speed and safety, and elevate those around them.

About the team
We design and operate distributed testing systems that qualify every code change for production deployment, build AI-powered developer tools that accelerate the development workflow, maintain secure automated operations for CI services, and provide observability infrastructure that surfaces quality trends across the entire codebase.

We're a 10-person team in Boston building toward a future where CI is intelligent, fast, and self-healing — catching bugs before production with minimal developer friction. There's significant greenfield opportunity: testing bare-metal storage software at this scale has almost no off-the-shelf solutions, so you'll be designing from first principles.

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, MA, Boston - 168,100.00 - 227,400.00 USD annually

How we rate this

Senior Software Engineer - Developer Infrastructure, AWS EBS, EBS Server Agility at Amazon rates 65 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

Distributed SystemsCI/CDMachine learningPerformance ProfilingAWSEbsPython

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 distributed systems was part of your work. What did you do?
  2. Tell me about a project where ci/cd was part of your work. What did you do?
  3. Tell me about a project where machine learning was part of your work. What did you do?
  4. Tell me about a project where performance profiling was part of your work. What did you do?
  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: Distributed Systems, CI/CD, Machine learning, Performance Profiling, 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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