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Aman Jain

Software Engineer 2 @ Goldman Sachs | ex-Amazon | Backend & Distributed Systems | Java, Spring Boot | Building Scalable Data Platforms

Bengaluru

4+ years of work experience

Goldman Sachs
Mar 20242 y 2 moMay 2026

Bengaluru, Karnataka, India

At Goldman Sachs, I worked on building scalable data and automation platforms across financial workflows, focusing on digitization, normalization, and reconciliation. • Led development of key components for an invoice digitization platform processing 50K+ invoices per cycle across 750+ templates. • Built and enhanced ~50% of platform APIs, improving OCR–LLM–datastore integration and increasing extraction accuracy to ~90%. • Designed BPMN workflows, automated job orchestration, and developed Java-based parsers for complex invoice formats. • Strengthened exception handling and data validation, improving downstream data consistency and audit traceability. • Delivered measurable impact: reduced payment cycle from 30 to 7 days, saved $350K annually, and reduced dependency on 5+ FTEs. Additionally, contributed to an EQD Trade Normalization platform: • Built a configuration-driven pipeline to standardize broker Excel/CSV trade files into a unified internal schema. • Designed provider-level configurations for mapping, transformations, and validations, reducing onboarding effort for new formats. • Developed ingestion and normalization workflows for multi-header datasets, publishing outputs to the data lakehouse. • Implemented reconciliation logic to compare broker vs internal data and categorize exceptions, improving traceability and reducing manual investigation. Overall, improved data consistency across external feeds and enabled faster, more reliable downstream reporting.
Amazon
Sep 20235 moFeb 2024

Bengaluru, Karnataka, India

Worked on backend systems for cross-border pricing. • Built pricing flows for international transactions (DE→CN, US→CN) • Implemented logic for charges, taxes, and penalties where accuracy was critical • Refactored parts of the system to reduce bugs and improve maintainability • Collaborated with multiple teams to integrate pricing into larger transaction flows
Samsung India
Nov 20211 yr 8 mosJun 2023

Noida, Uttar Pradesh, India

𝐏𝐚𝐫𝐭 𝐨𝐟 𝐭𝐡𝐞 𝐓𝐞𝐥𝐞𝐩𝐡𝐨𝐧𝐲 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧: 𝐌𝐞𝐬𝐬𝐚𝐠𝐢𝐧𝐠 𝐓𝐞𝐚𝐦 • Automated issue routing, which reduced manual effort by ~90% • Investigated production issues and reduced crash rates by ~25% during OS upgrades • Built parts of a cross-device sync system (OneCloud) • Worked on IMEI tracking features that improved lost-device recovery time
Jio Platforms Limited (JPL)
May 20215 moOct 2021

Mumbai, Maharashtra, India

• Worked on the development of an Employee sign-in portal for Jio Platforms, a project that streamlined the workday for over 10,000 staff members. • Learnt and used Node.js, and MongoDB technologies to build a secure, scalable, and user-friendly portal. • Integrated authentication and role-based access control features using JSON Web Tokens (JWTs), enhancing the security and compliance of the portal.
LeetCode
@aj7521

Aman’s AI Stack

cursor
cursor
geminicli
geminicli
github copilot
github copilot
opencode
opencode
claudecode
claudecode
ChatGPT
ChatGPT

Education

SRM IST Chennai

Bachelor of Technology - BTech, Computer Science

SRM IST Chennai

20174 yrs2021

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Headline

Software Engineer 2 @ Goldman Sachs | ex-Amazon | Backend & Distributed Systems | Java, Spring Boot | Building Scalable Data Platforms

About

Backend engineer with 4+ years of experience building data-intensive systems and distributed pipelines in production environments at Goldman Sachs, Amazon, and Samsung. I work on systems that process high-volume, structured and unstructured data — focusing on correctness, reliability, and operational efficiency. At Goldman Sachs, I built core components of an invoice digitization platform processing 50K+ documents per cycle across 750+ formats, improving extraction accuracy to ~90% and reducing payment cycles from 30 to 7 days, saving $350K annually. I also developed a configuration-driven trade normalization pipeline to standardize heterogeneous broker data and enable consistent downstream reconciliation and reporting. Previously at Amazon, I built backend systems for cross-border pricing, handling taxes, charges, and penalties for international transactions. Strong in Java, Spring Boot, Data structures and algorithms, distributed systems, system design, and data processing. Experienced in designing APIs, building ingestion pipelines, and debugging production systems.

Location

Bengaluru

AI stack

cursor

geminicli

github copilot

opencode

claudecode

ChatGPT

Work experience

Software Engineer 2 at Goldman Sachs, Mar 2024 - May 2026 · 2 y 2 mo, Bengaluru, Karnataka, India, At Goldman Sachs, I worked on building scalable data and automation platforms across financial workflows, focusing on digitization, normalization, and reconciliation. • Led development of key components for an invoice digitization platform processing 50K+ invoices per cycle across 750+ templates. • Built and enhanced ~50% of platform APIs, improving OCR–LLM–datastore integration and increasing extraction accuracy to ~90%. • Designed BPMN workflows, automated job orchestration, and developed Java-based parsers for complex invoice formats. • Strengthened exception handling and data validation, improving downstream data consistency and audit traceability. • Delivered measurable impact: reduced payment cycle from 30 to 7 days, saved $350K annually, and reduced dependency on 5+ FTEs. Additionally, contributed to an EQD Trade Normalization platform: • Built a configuration-driven pipeline to standardize broker Excel/CSV trade files into a unified internal schema. • Designed provider-level configurations for mapping, transformations, and validations, reducing onboarding effort for new formats. • Developed ingestion and normalization workflows for multi-header datasets, publishing outputs to the data lakehouse. • Implemented reconciliation logic to compare broker vs internal data and categorize exceptions, improving traceability and reducing manual investigation. Overall, improved data consistency across external feeds and enabled faster, more reliable downstream reporting.

Software Development Engineer 1 at Amazon, Sep 2023 - Feb 2024 · 5 mo, Bengaluru, Karnataka, India, Worked on backend systems for cross-border pricing. • Built pricing flows for international transactions (DE→CN, US→CN) • Implemented logic for charges, taxes, and penalties where accuracy was critical • Refactored parts of the system to reduce bugs and improve maintainability • Collaborated with multiple teams to integrate pricing into larger transaction flows

Software Engineer at Samsung India, Nov 2021 - Jun 2023 · 1 yr 8 mos, Noida, Uttar Pradesh, India, 𝐏𝐚𝐫𝐭 𝐨𝐟 𝐭𝐡𝐞 𝐓𝐞𝐥𝐞𝐩𝐡𝐨𝐧𝐲 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧: 𝐌𝐞𝐬𝐬𝐚𝐠𝐢𝐧𝐠 𝐓𝐞𝐚𝐦 • Automated issue routing, which reduced manual effort by ~90% • Investigated production issues and reduced crash rates by ~25% during OS upgrades • Built parts of a cross-device sync system (OneCloud) • Worked on IMEI tracking features that improved lost-device recovery time

Deputy Manager (Jr. Software Developer) at Jio Platforms Limited (JPL), May 2021 - Oct 2021 · 5 mo, Mumbai, Maharashtra, India, • Worked on the development of an Employee sign-in portal for Jio Platforms, a project that streamlined the workday for over 10,000 staff members. • Learnt and used Node.js, and MongoDB technologies to build a secure, scalable, and user-friendly portal. • Integrated authentication and role-based access control features using JSON Web Tokens (JWTs), enhancing the security and compliance of the portal.

Education

Bachelor of Technology - BTech, Computer Science, SRM IST Chennai

Public links

leetcode: https://leetcode.com/aj7521