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Software Development Engineer Internship - Vaga para mulheres, IES- LATECH
Virtual, BRA
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Flexible work arrangements
•Professional development budget
•Generous paid time off and holidays
•Team events and activities
•Flexible Hours
•Learning
Required Skills
JavaScript
PostgreSQL
React
Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable services in a collaborative team environment? Do you want to see your code directly impact millions of customers worldwide?
At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands.
Our Software Development Engineer (SDE) interns use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDE interns solve at Amazon are meaningful and influence millions of customers, sellers, and products globally. We seek individuals passionate about creating new products, features, and services while managing ambiguity in an environment where development cycles are measured in weeks, not years.
At Amazon, we believe in ownership at every level. As an SDE intern, you'll own the entire lifecycle of your code - from design through deployment and ongoing operations. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers.
We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth.
Amazon internships across all seasons are full-time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes.
- Key job responsibilities
- Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward.
- Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment.
- Participate in code reviews and contribute to technical documentation.
- Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective.
- Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
- Write clean, maintainable code following best practices and design patterns.
- Work in an agile environment practicing CI/CD principles while participating in operational responsibilities including on-call duties.
- Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.
A day in the life
As an intern, you will be matched to a manager and a mentor and will have the opportunity to influence the evolution of Amazon technology and lead critical projects early in your career.
In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in activities with other interns throughout your internship. No matter the location of your internship, we give you the tools to own your project and learn in a real-world setting.
Basic Qualifications
- Are enrolled in or have completed a Bachelor's degree in computer science, computer engineering, or related field
- Bachelor's degree
- Speak, write, and read fluently in English
- Are 18 years of age or older
Preferred Qualifications
- Are enrolled in or have completed a Master's degree in computer science, computer engineering, or related field
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures, and complexity analysis
- Experience with distributed, multi-tiered systems, algorithms, and relational databases
- Experience in optimization mathematics such as linear programming and nonlinear optimization
- Bachelor's degree within last 12 months in engineering or equivalent STEM (Science, Technology, Engineering and Mathematics) field
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.
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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%
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
M3
M4
M5
M6
L2 · Product Designer L2
0 reports
$163,720
total / year
Base
$65,488
Stock
$81,860
Bonus
$16,372
$114,604
$212,836
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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