Software Development Engineer, Payroll Tax & Accounting Tech

Amazon Amazon · Big Tech · IN, TS, Hyderabad · Software Development

Software Development Engineer to build a globally scalable gross-to-net payroll calculation engine with deep tax calculation capabilities, leveraging LLM-based rule extraction for complex regulatory contexts. The role involves designing and developing deterministic tax calculation algorithms, creating accounting integration services, and implementing GenAI shadow mode validation frameworks.

What you'd actually do

  1. Build a globally deployed, locally configured gross-to-net calculation engine that leverages LLM-based rule extraction to formalize complex jurisdiction-specific tax regulations, including multi-layered tax calculations, YTD tracking, and statutory compliance requirements
  2. Design and develop deterministic tax calculation algorithms that handle employee withholding, employer tax obligations, and process gross earnings through deductions to calculate net pay across multiple countries
  3. Create accounting integration services that generate GL entries and journal entries for all necessary payroll entries, like earnings, tax, & benefits
  4. Implement GenAI shadow mode validation frameworks to ensure accuracy against existing systems
  5. Partner directly with Software Development Engineers (SDEs), Technical Program Managers, tax specialists, and payroll operations teams to understand features and continuously identify opportunities to build and deploy software solutions

Skills

Required

  • professional software development experience
  • design or architecture of new and existing systems experience
  • programming with at least one software programming language

Nice to have

  • full software development life cycle experience
  • coding standards, code reviews, source control management, build processes, testing, and operations experience
  • highly concurrent, high throughput systems experience
  • complex distributed systems knowledge
  • professional software engineering & best practices
  • software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
  • building complex software systems that have been successfully delivered to customers
  • Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
  • tax, finance or a related analytical field experience
  • designing and implementing controls or experience performing audits over financial reporting environment

What the JD emphasized

  • complex regulatory contexts that are typically being defined in real-time
  • local configuration driven by LLM-based rule extraction
  • LLM-based rule extraction
  • GenAI shadow mode validation frameworks
  • GenAI capabilities

Other signals

  • LLM-based rule extraction
  • GenAI shadow mode validation
  • GenAI capabilities to build validation frameworks