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Software Development Manager, Payables Tech

职能基础设施
级别Lead级
地点Bengaluru, KA, India
方式现场办公
类型全职
发布1个月前
立即申请

必备技能

AWS

Machine Learning

Amazon's Accounts Payables Technology team, part of Fin Auto (Finance Automation), is transforming financial operations through next-generation automation powered by agentic AI. We process trillions in annual transactions across every Amazon business worldwide, including AWS, Stores, and Digital. Our team is building intelligent systems that optimize the entire order-to-cash lifecycle, from sales through billing and collections. We're seeking a hands-on technical leader to drive our automation vision forward.

As Amazon's financial operations grow exponentially with business expansion, traditional approaches to scaling through human operations are no longer sufficient. Our team is at the forefront of solving this challenge through innovative automation solutions that combine artificial intelligence, machine learning, and enterprise-grade workflows to transform how financial operations work.

Technical Leadership & Innovation: As Software Development Manager, you'll:

  • Shape architectural decisions for our next-generation automation platform
  • Drive adoption of best-in-class technologies including agentic AI and LLMs
  • Design scalable, secure systems that handle sensitive financial data
  • Build frameworks that enable autonomous operations while maintaining enterprise-grade controls
  • Partner with AWS teams on emerging AI capabilities and primitives
  • Guide development of ML/AI-powered solutions for pattern detection and process optimization

Team Leadership: You'll lead a talented engineering team building strategic automation solutions that:

  • Process financial transactions at massive scale
  • Leverage ML/AI to detect patterns and optimize operations
  • Automate complex workflows across multiple transactional systems
  • Transform manual processes into autonomous operations
  • Drive continuous improvement through data-driven insights

Technical Complexity: Key challenges include:

  • Building observable, auditable automation systems
  • Creating flexible integration patterns across modern and legacy systems
  • Implementing robust testing and governance frameworks
  • Scaling solutions across global operations
  • Ensuring compliance with financial regulations while driving innovation

Impact: This role offers the opportunity to:

  • Shape the future of financial operations at Amazon's scale
  • Drive technical innovation in emerging technologies
  • Lead transformation of critical business processes
  • Influence automation strategy across the organization

BASIC QUALIFICATIONS:

  • 7+ years of software engineering experience
  • 3+ years of engineering team management experience
  • Strong hands-on technical background in distributed systems
  • Experience designing and architecting scalable solutions
  • Track record of delivering complex technical projects
  • Experience partnering with product teams and stakeholders

PREFERRED QUALIFICATIONS:

  • Experience building and operating production-grade AI/ML systems
  • Background in financial technology or similar regulated domains
  • Experience with automation frameworks and workflow orchestration
  • Track record of technical innovation and architectural leadership
  • Strong communication skills and ability to influence across organizations
  • Experience mentoring and growing engineering talent

Our team combines the excitement of a startup with the resources and scale of Amazon. We're building something new and transformative, and we need leaders who can balance technical innovation with practical delivery. If you're excited about shaping the future of financial operations through best-in-class technology, we want to talk to you.

Basic Qualifications

  • Bachelor's degree
  • 3+ years of engineering team management experience
  • 7+ years of engineering experience
  • 8+ years of leading the definition and development of multi tier web services experience
  • Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
  • Experience partnering with product and program management teams

Preferred Qualifications

  • Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
  • Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

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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关于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+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

10条评价

3.4

10条评价

工作生活平衡

2.5

薪酬

4.2

企业文化

3.0

职业发展

3.8

管理层

2.7

65%

推荐率

优点

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

缺点

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

薪资范围

4个数据点

L2

L6

L3

L4

L5

L2 · Data Analyst L2

0份报告

$108,330

年薪总额

基本工资

$43,332

股票

$54,165

奖金

$10,833

$75,831

$140,829

面试评价

6条评价

难度

4.0

/ 5

时长

21-35周

体验

正面 0%

中性 17%

负面 83%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge