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Aditya Padhmakar profile photo 2 on Tal
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Aditya Padhmakar

Backend Engineer | Distributed Systems | Kafka · Java · AWS | Building for Scale & Reliability

Bengaluru

5+ years of work experience

Papaya Global
Apr 20251 yr 5 mosPresent

Bengaluru · Hybrid

- Worker Onboarding Re-Architecture: A tightly coupled synchronous onboarding workflow across 100+ country configurations was taking 7 days and failing silently under partial outages. Re-architected it as an async event-driven orchestration system using RabbitMQ and SQS with idempotent, fault-tolerant processing — cutting activation time to under 5 hours and eliminating duplicate operations under retries. - AI-Powered Document Verification (AWS Bedrock): Manual review of 600K+ documents/month was a 48-hour bottleneck with high error rates. Designed and owned the full pipeline — multi-source ingestion, document parsing, Bedrock integration, error handling, and DLQ recovery — cutting processing time to under 6 hours and reducing manual review effort by 80%. - Resilience Across Downstream Integrations: Cascading failures from vendor outages were propagating through core APIs. Introduced circuit breakers, retries, and DLQs via Resilience4j — reduced failure propagation by 40% and sustained graceful degradation under peak load. - Engineering Leadership: Ran weekly design reviews, mentored junior engineers, and authored event-driven architecture guidelines adopted as the team standard.
Papaya Global
Apr 20241 yrMar 2025

Bengaluru · Hybrid

- EOR Update Automation: Architected a microservice for Employer of Record updates, automating multi-step approval workflows — cutting processing time by 50% and reducing cycle time from 10 days to 2 days. - Compliance & Leave Rule Engine: Rule changes across 100+ country configurations required a 2-week engineering cycle. Built a metadata-driven engine using PostgreSQL JSON schemas and MongoDB enabling self-serve rule deployment — reducing rollout time from 2 weeks to same-day. - RBAC & PII Security: Designed and enforced fine-grained Role-Based Access Control over PII and financial data using Spring Security — achieved 100% compliance across all security audits.
Industrybuying.com
Aug 20221 yr 8 mosMar 2024

On-site

- Order Management System: Owned the full OMS backend across 6 microservices — inventory, fulfillment, and return workflows for 50K+ daily orders. Redesigned order fulfillment as a Kafka-based async pub/sub pipeline, improving throughput by 25% and reducing manual intervention by 35%. - Elasticsearch Catalog Search: Slow keyword search on a 100K+ SKU catalog was hurting conversion across 3 buyer-facing surfaces. Re-engineered indexing with fuzzy search and custom ranking strategies — reduced query latency by 40% and increased user engagement by 12%. - Redis Multi-Layer Caching: Catalog updates were bottlenecked on synchronous DB writes causing 2-day propagation delays at 500K+ daily reads. Introduced cache-aside patterns with TTL and async propagation — compressed update cycles to under 6 hours and cut DB load by 60%. - GraphQL for Internal Dashboards: Replaced bloated REST endpoints with GraphQL across 4 internal dashboards — reduced payload size by 40% and accelerated frontend developer velocity.
Industrybuying.com
Aug 20211 yrJul 2022

Remote

- Built and maintained microservices using Java, Spring Boot, Hibernate, and RabbitMQ — contributing across full SDLC from system design to test cycles. - Owned backend modules for catalog and order workflows, laying the foundation for features later scaled in the full-time role.

Aditya’s AI Stack

claude code
claude code
codex
codex
cursor
cursor
gemini
gemini
github copilot
github copilot
windsurf
windsurf

Education

Chitkara University

Bachelor of Engineering, Computer Science

Chitkara University

20184 yrs2022
Indian Institute of Technology, Madras

Joy Of Computing

Indian Institute of Technology, Madras

20192019

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Headline

Backend Engineer | Distributed Systems | Kafka · Java · AWS | Building for Scale & Reliability

About

Backend Engineer owning distributed production systems at scale — across global payroll SaaS and high-volume e-commerce — from High-Level Design and API strategy to production reliability and observability. I specialize in building systems that stay correct under failure, scale horizontally without re-architecture, and remain maintainable as complexity grows. A few things I've shipped: → Re-architected a synchronous onboarding workflow into async event-driven orchestration — cutting activation time from 7 days to under 5 hours → Built an AI-powered document verification pipeline processing 600K+ documents/month — reducing manual review effort by 80% → Engineered a metadata-driven compliance rule engine — reducing rollout cycles from 2 weeks to same-day across 100+ country configurations → Redesigned an order fulfillment backend handling 50K+ daily orders as a Kafka-based async pipeline — improving throughput by 25%. Technical depth I bring: → Event-Driven Architecture — Kafka, RabbitMQ, SQS/SNS, async orchestration → Distributed Systems — Saga pattern, CQRS, idempotency, circuit breakers → Data Layer — PostgreSQL, MongoDB, Redis (caching), Elasticsearch (search) → Cloud & Infra — AWS (Bedrock, EC2, S3, Lambda, RDS), Docker, Kubernetes → Observability — Prometheus, Grafana, distributed tracing, p99 latency analysis → Core — Java 17, Spring Boot, Spring Security, Hibernate, gRPC

Location

Bengaluru

AI stack

claude code

codex

cursor

gemini

github copilot

windsurf

Work experience

Software Development Engineer 2 at Papaya Global, Apr 2025 - Present · 1 yr 5 mos, Bengaluru · Hybrid, - Worker Onboarding Re-Architecture: A tightly coupled synchronous onboarding workflow across 100+ country configurations was taking 7 days and failing silently under partial outages. Re-architected it as an async event-driven orchestration system using RabbitMQ and SQS with idempotent, fault-tolerant processing — cutting activation time to under 5 hours and eliminating duplicate operations under retries. - AI-Powered Document Verification (AWS Bedrock): Manual review of 600K+ documents/month was a 48-hour bottleneck with high error rates. Designed and owned the full pipeline — multi-source ingestion, document parsing, Bedrock integration, error handling, and DLQ recovery — cutting processing time to under 6 hours and reducing manual review effort by 80%. - Resilience Across Downstream Integrations: Cascading failures from vendor outages were propagating through core APIs. Introduced circuit breakers, retries, and DLQs via Resilience4j — reduced failure propagation by 40% and sustained graceful degradation under peak load. - Engineering Leadership: Ran weekly design reviews, mentored junior engineers, and authored event-driven architecture guidelines adopted as the team standard.

Software Development Engineer 1 at Papaya Global, Apr 2024 - Mar 2025 · 1 yr, Bengaluru · Hybrid, - EOR Update Automation: Architected a microservice for Employer of Record updates, automating multi-step approval workflows — cutting processing time by 50% and reducing cycle time from 10 days to 2 days. - Compliance & Leave Rule Engine: Rule changes across 100+ country configurations required a 2-week engineering cycle. Built a metadata-driven engine using PostgreSQL JSON schemas and MongoDB enabling self-serve rule deployment — reducing rollout time from 2 weeks to same-day. - RBAC & PII Security: Designed and enforced fine-grained Role-Based Access Control over PII and financial data using Spring Security — achieved 100% compliance across all security audits.

Software Developer at Industrybuying.com, Aug 2022 - Mar 2024 · 1 yr 8 mos, On-site, - Order Management System: Owned the full OMS backend across 6 microservices — inventory, fulfillment, and return workflows for 50K+ daily orders. Redesigned order fulfillment as a Kafka-based async pub/sub pipeline, improving throughput by 25% and reducing manual intervention by 35%. - Elasticsearch Catalog Search: Slow keyword search on a 100K+ SKU catalog was hurting conversion across 3 buyer-facing surfaces. Re-engineered indexing with fuzzy search and custom ranking strategies — reduced query latency by 40% and increased user engagement by 12%. - Redis Multi-Layer Caching: Catalog updates were bottlenecked on synchronous DB writes causing 2-day propagation delays at 500K+ daily reads. Introduced cache-aside patterns with TTL and async propagation — compressed update cycles to under 6 hours and cut DB load by 60%. - GraphQL for Internal Dashboards: Replaced bloated REST endpoints with GraphQL across 4 internal dashboards — reduced payload size by 40% and accelerated frontend developer velocity.

Software Developer Intern at Industrybuying.com, Aug 2021 - Jul 2022 · 1 yr, Remote, - Built and maintained microservices using Java, Spring Boot, Hibernate, and RabbitMQ — contributing across full SDLC from system design to test cycles. - Owned backend modules for catalog and order workflows, laying the foundation for features later scaled in the full-time role.

Education

Bachelor of Engineering, Computer Science, Chitkara University

Joy Of Computing, Indian Institute of Technology, Madras