---
title: "Adhiraj Bhattacharya - Lead Software Engineer (System Architect / Technical Lead) in Bengaluru | Tal"
description: "Meet Adhiraj Bhattacharya, Lead Software Engineer @ Zeta | System architect & hands-on technical lead, financial-grade distributed systems | Architected an EOD platform proven to close 208M+ accounts in under an hour | ex-Citi | NIT Durgapur based in Bengaluru. AI stack includes claude code and cla..."
image: "https://tal.club/meet/adhiraj-bhattacharya/share-image"
---

# Adhiraj Bhattacharya on Tal

## Headline

Lead Software Engineer @ Zeta \| System architect & hands\-on technical lead, financial\-grade distributed systems \| Architected an EOD platform proven to close 208M\+ accounts in under an hour \| ex\-Citi \| NIT Durgapur

## About

Backend architect and hands\-on technical lead with 13\+ years building financial\-grade, high\-throughput distributed systems\. At Zeta I architected an end\-of\-day \(EOD\) accounting platform for credit instruments, proven in load tests and customer demos to close 208M\+ accounts in under an hour at 1M / 100K peak TPS \(processing / persistence\) — a \~100× scale\-up from a \~2M\-account ceiling, achieved by decoupling processing from persistence so each scales independently\. I own system design end\-to\-end and stay in the code: I design the architecture and build the hardest parts myself \(for example the S3 \+ Athena \+ Apache Iceberg data\-prep pipeline that cut nightly\-close infra cost by \~70–85%\), while setting engineering standards and mentoring a \~15\-engineer platform group to adopt them \(10\+ engineers mentored to senior\)\. Delivered to HDFC, ICICI, Axis \(India\) and PNC Bank \(USA\)\. Most recently I initiated and led org\-wide adoption of agentic engineering tooling — conceiving and building the first three "agent\-harness skills" myself, including the deployment pre\-check the SRE team now runs before every release\. Before Zeta: regulatory balance\-sheet forecasting \(CCAR\) at Citi — configurable reference rates for the move off LIBOR, live runtime configuration, and a codebase taken from 0 to \~80% test coverage; and at Principal, modernising a COBOL/DB2 commission\-and\-payout platform into a modular Java application\. Core stack: Java, Spring, SQL · PostgreSQL, MongoDB, Redis · Kafka, Apache Flink, Apache Iceberg, S3, Athena · AWS, Docker, Kubernetes · CI quality/security gates \(Jenkins, SonarQube, Snyk\), test automation, agentic/LLM tooling, cost optimisation\. Open to Technical Lead, Staff/Principal Engineer and Architect roles on distributed systems and platforms — and to Engineering Manager roles where hands\-on architecture still matters\.

## Location

Bengaluru

## AI stack

claude code

claude

## Work experience

Lead Software Engineer \(System Architect / Technical Lead\) at Zeta, Jan 2022 \- Present · 4 yrs 9 mos, Bengaluru, Karnataka, India, System architect and hands\-on technical lead — EOD accounting platform for credit instruments, in production at HDFC Bank\. Technical direction of a \~15\-engineer platform group\. • Architected the EOD platform proven to close 208M\+ accounts in under an hour at 1M / 100K peak TPS \(processing / persistence\) in load tests and customer demos — \~100× up from a \~2M ceiling, by decoupling processing from persistence\. • Personally built the big\-data data\-prep pipeline \(S3 \+ Athena \+ Apache Iceberg\): 30 min / 100K accounts → <5 min / 200M\+; nightly\-close infra cost −70–85% vs a scale\-up Postgres replica; pre\-run prep removed live network\-fault errors from the close\. • Designed a reusable batch command framework \(workers as pure functions emitting commands, persisted only on full\-job success\) — atomic close, independently scalable persistence; adopted org\-wide\. • Collapsed 18 per\-worker deployments across 6 phases into one deployment with a linear per\-phase runner\. • Replaced a serverless real\-time event processor \(cold starts, slow scale\-up\) with an always\-on, horizontally scaling Kafka\-fed REST service plus cron retry over persisted failures — transient failures self\-heal; only unhandleable ones reach a human\. • Turned a per\-call REST classification lookup into an in\-process cached library \(network hops to zero; adopted by every classifying system\); cut account\-creation setup latency \~4 s → <200 ms \(\~20×\)\. • Built an extensible test\-environment automation framework \(bring\-up → seed → execute → validate → tear\-down\): \~3\-day manual validation → \~4 h \(−95%\)\. • Initiated and led org\-wide adoption of agentic engineering tooling — conceived the first three skills: the de\-facto SRE release pre\-check, a code\-review gate for AI\-generated code, and Snyk auto\-remediation\. • Set org\-wide standards: CI quality/security gates on every PR \(Jenkins, SonarQube, Snyk\); lean production logging\. • Mentored 10\+ engineers to senior\.

Lead Software Engineer at Citi, Jun 2018 \- Dec 2021 · 3 yrs 7 mos, Pune, Maharashtra, India, Technical lead — regulatory balance\-sheet forecasting engine \(US CCAR\)\. • Made the forecasting engine's reference rate configurable — added transaction\-based alternative rates alongside LIBOR/SOFR so the engine moves off LIBOR by configuration, not code\. • Made runtime\-tunable configuration live — changes apply at runtime with no application restart\. • Decoupled input\-data validation into a standalone precheck service, taking validation runtime off the forecasting run's critical path; runs proceed only on validated data\. • Automated Long\-Term\-Debt risk calculation by integrating a third\-party analytics engine in place of a manual Excel process \(zero manual intervention\), verified against seeded expected results with a repeatable regression suite\. • Took the codebase from 0 to \~80% test coverage — set the standard, led the team to it, and enforced it with a JaCoCo coverage gate in the build\.

Senior Analyst \(Senior Software Engineer → Technical Lead\) at Principal Financial Group, Mar 2014 \- May 2018 · 4 yrs 3 mos, Pune Division, Maharashtra, India, End\-to\-end marketer services platform: onboarding, commission \(variable\-payout\) calculation, statement generation, disbursement\. De\-facto tech lead of a \~6\-person team — owned technical design, architecture and task breakdown\. • Modernised the commission\-calculation, statement and disbursement flows — migrated legacy COBOL/DB2 into a modular Java application, unifying separate flows and reducing statement/processing runtime \(statement prep moved to MongoDB with a batched templating/dispatch component\)\. • Redesigned marketer onboarding — a 20\-form flow cut to 4 through reuse and redesign, cutting onboarding lead time\.

Software Engineer at Mjunction Services ltd \(SAIL\-TATA Steel venture\), Jul 2013 \- Feb 2014 · 8 mos, Kolkata, West Bengal, India, Proprietary auction engine for SAIL to trade steel byproducts\.

## Education

Bachelor of Technology \(BTech\), Electrical Engg\., National Institute of Technology Durgapur

[View the original profile](https://tal.club/meet/adhiraj-bhattacharya)

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