Chanda Nagar Hyderabad Telangana Coding specialist Jobs – 478 Open Jobs Today

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Charles Schwab —Hyderabad, Telangana
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Software Development Engineer, Amazon Traffic Engineering
ADCI HYD 13 SEZ —Hyderabad, Telangana
- Full-time
- Computer Science
- Java
- Master's degree
Sr. Software Development Engineer, Payroll Tax & Accounting Tech
ADCI HYD 13 SEZ - H84 —Hyderabad, Telangana
- Full-time
- Computer Science
- Master's degree
- AWS

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Software Development Engineer, Payroll Tax & Accounting Tech

ADCI HYD 13 SEZ - H84 -
Hyderabad, Telangana

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Job details

Full-time

Qualifications

Law
Data structures
Master's degree
OOP
AWS
Bachelor's degree
Machine learning
Software development
Agile
SDLC
Design patterns

Full job description

DESCRIPTION

Are you interested in building a high-performance, globally scalable gross-to-net payroll calculation engine with deep tax calculation capabilities that supports Amazon's current and future growth? Are you seeking an environment where you can drive innovation leveraging the scalability and innovation with Amazon's AWS cloud services? Do you have a passion for ensuring accurate financial calculations that directly impact employees? This is the job for you.

Amazon's Payroll Tax & Accounting Technology team is looking for a results-oriented, driven Software Development Engineer who can help us create the next generation of distributed, scalable gross-to-net calculation infrastructure with sophisticated tax processing at its core. Our ideal candidate thrives in a fast-paced environment, enjoys the challenge of highly complex regulatory contexts that are typically being defined in real-time. We need someone to design and develop a single global system that processes gross earnings through complex multi-jurisdiction tax calculations to net pay for millions of employees, with local configuration driven by LLM-based rule extraction.

A Software Development Engineer (SDE) at Amazon works on real world problems on a global scale, owns their systems end to end and influences the direction of our technology that impacts hundreds of millions of customers around the world. You can expect to design flexible and scalable solutions, and work on some of the most complex challenges in large-scale computing by utilizing your skills in data structures, algorithms, and object oriented programming. Coming to Amazon gives you the opportunity to work on a small development team in one of our many rapidly growing organizations.

You will learn all about how to design, implement and test highly scalable solutions using AWS cloud platform and its many products, in challenging agile projects, working with best in class professionals.

In this role you will:

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
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
Create accounting integration services that generate GL entries and journal entries for all necessary payroll entries, like earnings, tax, & benefits
Implement GenAI shadow mode validation frameworks to ensure accuracy against existing systems
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

Key job responsibilities

Define high-level and low-level design for the global gross-to-net calculation engine with complex tax processing capabilities using the latest AWS technology in a large distributed environment
Take the lead on defining and implementing engineering best practices for deterministic financial calculations and using data to define and improve operational best practices
Help drive the architecture and technology choices for the LLM-based rule extraction pipeline and tax-centric gross-to-net calculation products
Design, develop and deploy medium to large software solutions for Amazon's global payroll tax calculation and gross-to-net accounting needs
Raise the bar on code quality, including security, auditability, readability, consistency, and maintainability
Leverage GenAI capabilities to build validation frameworks and continuously improve system accuracy

A day in the life
You'll start your morning collaborating with tax specialists and payroll operations teams across multiple countries to understand jurisdiction-specific requirements. Mid-day, you'll design and code deterministic tax calculation algorithms, leveraging LLM-based rule extraction to formalize complex regulations into executable logic. You'll investigate how different countries structure their tax codes, exploring edge cases and regulatory nuances. Afternoons involve implementing shadow mode validation frameworks, reviewing code with your team, and refining accounting integrations. You'll tackle challenges like handling multi-layered tax calculations, YTD tracking, and ensuring sub-millisecond performance while maintaining 100% statutory compliance for millions of employees globally.

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 or equivalent
Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems

PREFERRED QUALIFICATIONS

Experience building complex software systems that have been successfully delivered to customers
Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

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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