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Sr. Software Development Engineer, Alexa Global quality

Amazon

Sr. Software Development Engineer, Alexa Global quality

Amazon

Hyderabad, TS, IND

·

On-site

·

Full-time

·

4w ago

Benefits & Perks

Healthcare

401(k)

Equity

Parental Leave

Mental Health

Healthcare

401k

Equity

Parental Leave

Mental Health

Required Skills

Software development

System design

Architecture design

Team leadership

Project management

Come join the team behind scaling Alexa Globally. As a member of our team, you will be responsible for leading the development of infrastructure helping to scale Alexa to international locales. You will have significant influence on our overall strategy by helping define the features, driving the system architecture, and spearheading best practices.
We encourage bold exploration of interactions and experiments that push innovation and use these learnings to bolster the foundation of best practice reference design patterns that foster a consistent, efficient, and familiar cross-product experience.
A successful candidate will have an established background in developing products, a strong technical ability, project management skills, solid communication skills, and a motivation to achieve results in a fast-paced environment. You should be comfortable with ambiguity and have a creative flair for achieving the impossible.

Key Responsibilities:

  • Work on key infrastructure to support and responsible for scaling Alexa internationally.
  • Work through all phases of the project lifecycle, including reviewing requirements, designing critical infrastructure and tools , building new interfaces, integrate with existing architectures, developing and testing code, and delivering seamless implementations for scaling Alexa features internationally.
  • Ownership of projects that operate cross-functionally with multiple Alexa engineering, design and product teams.
  • Work in an Agile/Scrum environment to deliver high quality software against defined schedules and milestones.

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

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