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Sr SDE, COMS Tech

Amazon

Sr SDE, COMS Tech

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

4w ago

Benefits & Perks

Healthcare

401(k)

Equity

Parental Leave

Healthcare

401k

Equity

Parental Leave

Required Skills

Software development

System design

Architecture design

Leadership

Mentoring

Trustworthy Shopping Experience team focuses on improving seller experiences and ensuring a safe, trusted marketplace for our customers. We work on various aspects of e-commerce, product safety, quality and compliance, catalog management and order remediation. We are seeking a talented Senior Software Engineer to join our team in building a global compliance product. The ideal candidate will be passionate about helping customers, skilled at bringing clarity to ambiguous situations through data-driven experimentation. You will work with an international team of product managers and stakeholders, tackling complex software architecture design challenges and building highly scalable services.
We offer exposure to global markets and diverse technical challenges, opportunities to work on full-stack development, platform engineering, and performance optimization, encourages creative problem-solving, data-driven decision-making and continuous learning. If you thrive in a dynamic, innovative environment and want to make a significant impact on e-commerce technology, we encourage you to apply. Join us in shaping the future of e-commerce technology and delivering trustworthy shopping experiences to millions of customers worldwide.

  • Key job responsibilities
  • Collaborate with cross-functional teams to design, develop, and launch innovative products and services.
  • Create scalable, fault-tolerant distributed systems for storage, indexing, and querying.
  • Implement predictive solutions on distributed systems using state-of-the-art technologies.
  • Design and code effective solutions for broadly defined problems.
  • Work in an agile environment to deliver high-quality software.

About the team

Basic Qualifications

  • Bachelor's degree in computer science or equivalent
  • 9+ years of non-internship professional software development experience
  • 9+ 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

  • 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

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

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