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Sr Software Dev Engineer, Selection Monitoring

Amazon

Sr Software Dev Engineer, Selection Monitoring

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Healthcare

401(k)

Equity

Parental Leave

Mental Health

Healthcare

401k

Equity

Parental Leave

Mental Health

Required Skills

Software architecture

System design

Distributed systems

Machine learning

Big data

Team leadership

Information retrieval

Amazon’s Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. Our systems process billions of products to algorithmically find products not already sold on Amazon and programmatically add them to the Amazon catalog. We apply parallel processing, machine learning and deep learning algorithms to evaluate products and brands in order to identify and prioritize products and brands to be added to Amazon’s catalog. The datasets produced by our team are used by teams across Amazon to improve: product information, search and discoverability, pricing, and delivery experience. Our work involves building state-of-the-art Information Retrieval (IR) systems to mine the web and automatically create structured entities from un-structure/semi-structured data. We constantly stretch the boundaries of large scale distributed systems, Elastic Computing, Big Data, Artificial intelligence and SOA technologies to tackle challenges at Amazon’s global scale.

Come join us in our journey to make everything – and yes, we do mean everything – that anyone wants to buy, available on Amazon!

We are looking for Sr SDEs with good technical knowledge, established background in engineering large scale software systems, and passion for solving challenging problems. The role demands a high-performing and flexible candidate who can take responsibility for success of the system and drive solutions from design to coding, testing, and deployment, to achieve results in a fast paced environment.

The Sr SDE on this team will be playing a key role in solving complex problems and building innovative solutions to drive selection on Amazon platform. Candidate needs to have a high sense of ownership, ability to develop end to end solutions and improve customer experience. This role would expose you to solving problems of scale in the areas of data mining, artificial intelligence, big data and distributed systems of cloud-scale.

Key job responsibilities
As a Senior SDE on this team, you will:

  • Drive Architectural Vision: Partner with Principal Engineers and senior leadership to define and evolve the technical and architectural strategy for Selection Monitoring systems responsible for extraction and generation of structured domain entities from structured/semi-structured data at global scale.

  • Lead Cross-Team Initiatives: Own and drive complex, multi-quarter initiatives that span across multiple teams and organizations, ensuring alignment on technical approach, timelines, and deliverables.

  • Design Scalable Systems: Architect and champion the development of highly scalable, extensible frameworks for complete lifecycle management of domain entities and inter-entity relationships, setting the technical direction for the team.

  • Solve Complex Technical Challenges: Lead the resolution of the most complex problems in automated identity generation, web-to-Amazon namespace translation, and classification of products, establishing best practices and reusable patterns.

  • Innovate Storage and Retrieval Solutions: Lead the architectural design and development of innovative solutions for efficient storage, vending, and search of products and related information across distributed systems.

  • Provide Technical Leadership: Mentor SDE2s and establish engineering excellence standards, and drive best practices around system design, architecture patterns, operational excellence, and security across multiple teams.

Basic Qualifications

  • Bachelor's degree in computer science or equivalent
  • 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

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