refresh

Trending Companies

Trending

Jobs

JobsAmazon

Software Development Engineer, Brazil Build Compute Team

Amazon

Software Development Engineer, Brazil Build Compute Team

Amazon

Seattle, WA, USA

·

On-site

·

Full-time

·

6d ago

Amazon's Source and Build Foundations team manages source control and build systems for Amazon. As we embrace a world of continuous delivery, the number of builds that we perform everyday is well into the millions. The Source and Build Foundations Team is at the heart of shaping what is possible as we provide the tools that are used daily by virtually every engineer at Amazon. The Source and Build Foundations Team owns the tools that allow builders across Amazon to build quickly and correctly. Our innovations and quality benefit Amazon builders who in turn continue to delight Amazon's customers. Join this team to work on distributed systems processing tens of millions of package builds every day. This team manages critical services to build and release software at Amazon.

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

As an SDE II, you'll solve challenging distributed systems problems at massive scale with AI-native powered innovation. We're building next-generation systems to be ready for AI native development at Amazon. We're looking for engineers who thrive on making systems faster, more reliable, and more secure at Amazon scale.

  • Key job responsibilities
  • Experience writing software in an object-oriented language
  • Experience with data structures, algorithms, distributed systems, and asynchronous architectures.
  • 4+ years of industry experience
  • BS in Computer Science or equivalent experience
  • Experience building and operating highly available services

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

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About Amazon

Amazon

Amazon

Public

Amazon.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%

Recommend to a Friend

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