Jobs

Software Development Engineer II, Retail Foundation Systems
Hyderabad, TS, IND
·
On-site
·
Full-time
·
2w ago
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Parental Leave
•Mental Health
•Healthcare
•401k
•Equity
•Parental Leave
•Mental Health
Required Skills
Software development
System design
Data architecture
Our team manages purchase orders, supplier contracts, and retail offer intent data for global operations. We focus on eliminating defects and increasing data accuracy to optimize product procurement and customer pricing.
Key job responsibilities
Architecture design and implementation of next generation data pipelines and BI solutions
Manage cloud infrastructure and database resources
Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
A day in the life
Amazon's Retail Foundation Systems (RFS) is responsible for enabling our Retail business supporting over $250B in annual procurement. RFS orchestrates across procurement catalog, supplier contracts, and retail operations to deliver the best selection and prices to our customers while optimizing vendor success and category team efficiency. In 2025, we invested in shifting to vendor-first data architecture by adopting vendor-contributed data (GDSN, PH) as primary sources and reducing reliance on reconciled data by 64%, improving transparency in supplier contracts reducing disputes and we experimented with GenAI to deep dive EID defects and add more intelligence into our cost management. We view 2025 as a stabilization year after the APM/RFS transition in 2024. We've used the learnings from this year to develop new ideas in 2026 that will generate incremental value to our customers both internal and external and we acknowledge that these will continue to evolve through end of year.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Bachelor's degree in computer science or equivalent
Preferred Qualifications
- 3+ 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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