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AWS
Build the infrastructure that builds Amazon. Join the Build Compute Team and work on distributed systems processing 25 million tasks daily across 12K hosts - powering every software deployment from Alexa to AWS.
As an SDE II, you'll solve challenging distributed systems problems at massive scale - from optimistic concurrency and circuit breakers to AI-powered optimization. We're building next-generation infrastructure on NAWS architecture to harden security boundaries, scaling to 120K+ build instances across Amazon.
What You'll Do:
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Own critical components of Amazon's Tier-1 build infrastructure
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Design and implement core components to power large scale NAWS-based build fleet
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Leverage AI/ML for intelligent task scheduling and resource optimization
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Scale systems handling 2-3x growth while maintaining high performance and availability
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Debug complex distributed systems issues
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Mentor teammates on operational excellence and system architecture
We're looking for engineers who thrive on making systems faster, more reliable, and more secure at Amazon scale.
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Key job responsibilities
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Design, implement, and maintain distributed systems for Brazil Build System (Tier-1) processing 25 million tasks daily
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Build next-generation NAWS-based infrastructure to harden security boundaries, scaling to 120K+ build instances
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Operate and continuously improve task dispatching (NBTM) and build execution (Docker Build Fleet Node) with 99.99% availability
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Participate in on-call rotation, solving difficult customer and operational problems while addressing root causes over short-term workarounds
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Deliver high-quality, maintainable code with comprehensive test automation (unit and integration testing)
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Review code, mentor teammates, and train new engineers on system architecture, testing practices, and operational procedures
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Work with legacy and modern technologies, making appropriate trade-offs to leave systems better and easier to maintain
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Communicate status and changes to stakeholders, keeping all informed of updates to plans and deliverables
About the team
We power Amazon's Brazil Build System - a Tier-1 platform processing 25 million tasks daily across 12K hosts (384K cores). Every AWS and SDO engineer depends on us to transform source code into deployment-ready artifacts.
Our stack: Never Build Twice Manager (NBTM) handles distributed task orchestration with JournalDB transactions, optimistic concurrency. Docker Build Fleet Node manages containerized build execution with sophisticated resource allocation and real-time capacity management across the fleet.
The challenge: maintain 99.99% availability at massive scale while continuously optimizing performance, mitigating risks, and solving complex distributed systems problems. Your code directly impacts thousands of developers and Amazon's deployment velocity.
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
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- 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
- 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 - 143,700.00 - 194,400.00 USD annually
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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
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Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total / year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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