Jobs
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:
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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.
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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.
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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.
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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.
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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.
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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
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
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
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