채용

Software Development Engineer II, Mobile App Growth Engineering Team
Bengaluru, KA, IND
·
On-site
·
Full-time
·
3w ago
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Parental Leave
•Healthcare
•401k
•Equity
•Parental Leave
Required Skills
Software development
System design
Java
Kotlin
C++
Python
The Emerging Marketplaces Experience & Operations (EMXO) Prime, Lifecycle & XCM (PLX) team builds and orchestrates inputs to accelerate customer growth, engagement, and Prime membership across Amazon's ten emerging marketplaces (India, Brazil, Mexico, Australia, Singapore, UAE, Egypt, Saudi Arabia, Turkey, and South Africa). We are a multi-billion dollar business with huge potential to grow in a trillion-dollar market. The Mobile Growth function sits at the heart of our Customer Growth strategy, with EMXO owning worldwide Paid App Marketing (PAM) services and mobile growth capabilities since February 2024.
The Mobile App Growth team accelerates Amazon retail app adoption by partnering with third-party advertising platforms (e.g., META , Google) to articulate to customers why they should download and sign in to the Amazon shopping app. Our messages surface outside Amazon on 100K+ apps worldwide, with a goal of driving mobile app First Time Sign-In (FTSI). The Mobile Growth tech team owns the underlying attribution and data-passing service that enables third-party partners to programmatically optimize campaigns through a closed-loop system, alongside fraud prevention enhancements.
We are seeking a talented SDE II to join our Mobile Growth engineering team. The role centers on designing, building, and operating the core attribution, data-passing, and optimization infrastructure that powers Amazon's worldwide PAM program. Ownership spans critical systems across the closed-loop attribution pipeline - from install and sign-in event tracking, to real-time data passing to third-party platforms, to fraud detection and prevention engines - all built as highly scalable, low-latency distributed services on AWS, processing billions of events across worldwide locales.
Beyond hands - on engineering, this role demands active involvement in shaping product and technical direction, defining key features that impact business metrics, and working with Senior Engineers to evolve the team's architecture and design. Collaboration is central - partnering with Product Managers, Data Scientists, third-party platform partners, country-level PAM program managers, and WW engineering teams to align technical solutions with business goals. Equally important is the responsibility of holding a high software quality bar, providing technical direction, mentoring fellow engineers, and fostering a culture of operational excellence.
This is a high-impact role where you'll shape mobile growth technology for some of the world's fastest-growing marketplaces. Come join a fast-paced, exploratory team that obsesses about customer experience, enjoys flexibility to pursue what makes sense, and is always eager to take on big challenges. It's still Day 1.
Key job responsibilities
2+ years of non-internship professional software development experience.
1+ years of non-internship design or architecture experience (design patterns, reliability and scaling).
Programming experience with at least one modern language such as Java, Kotlin, C++, or Python including object-oriented design.
Bachelor's degree in Computer Science or equivalent.
Experience contributing to the architecture and design of new and current systems.
About the team
- Experience building attribution systems, event tracking pipelines, or ad-tech/marketing-tech platforms.
- Experience integrating with third-party advertising platforms (Appsflyer, Facebook Ads, Google Ads, MMPs).
- Experience building fraud detection/prevention systems.
- Experience with AWS services and operating large-scale production distributed systems.
- Experience with real-time data processing, stream processing, and event-driven architectures.
Familiarity with mobile marketing metrics (ROAS, CPI, LTV, attribution models). - Experience mentoring junior engineers and raising the engineering bar.
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
Preferred Qualifications
- 3+ 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
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%
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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
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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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