Manoj Kumar

Hi, I'm Manoj.

welcome to my desk ↓

me, probably.

status

open to roles

experience

5+ years

reach me

manojmk.anand@gmail.com

Software engineer who likes the hard parts: distributed systems, financial & accounting infra, event-driven systems. Several years shipping backend services at scale, currently building QuickBooks accounting infrastructure at Intuit.

I'm a software engineer who builds backend services and distributed systems that have to hold up under real load. Most of my work is on the server side (Java, Spring Boot, Node.js, TypeScript, Kafka, REST/GraphQL) but I'll go full-stack with React when the work reaches the front end. Cloud-native by default: AWS, Docker, Kubernetes, CI/CD.

I've done this at Intuit (QuickBooks accounting capabilities: ledger posting, double-entry validation, and concurrency control for small-business financial workflows), Amazon (subscription lifecycle and reconciliation infrastructure for the Fuse partner ecosystem behind Prime, Music, and Video), Adobe (backend services for Experience Cloud and enterprise content workflows), and Capital One (credit-card servicing and transaction processing). Different domains, same underlying problems.

Things I care about: distributed, event-driven systems, AI woven into the backend (RAG, tool calling, LLM integration that holds up in production), observability that catches incidents before they wake anyone up, and getting latency and cost down without breaking things. I'm the engineer who cut API latency 40% and reconciliation infra cost 90% by actually measuring where the work was going.

⚡

currently

Software Engineer at Intuit. Building QuickBooks accounting capabilities , ledger posting, double-entry validation, concurrency control, and zero-downtime migrations for small-business financial workflows. Open to conversations about hard distributed-systems and financial-infra problems.

~ m.

by the numbers

daily customer operations supported at Intuit

reconciliation infra cost cut on AWS serverless at Amazon

API latency cut with Redis + DynamoDB caching

transaction conflicts cut with optimistic locking

click things. break things.

three systems problems you'll hit the moment you have more than one user. payments, healthcare, messaging, analytics , same hard parts. try to break them.

01. webhook idempotency

LIVE

any webhook source , Stripe, GitHub, Twilio, Shopify, your own services , will retry if you don't ack in time. your job: process exactly once. strategy: every event carries an event_id, you cache what you've processed. try hitting "duplicate" a bunch.

0processed

0dropped

$0total charged

02. exponential backoff + jitter

LIVE

some downstream service , a database, a payment processor, an EHR, a third-party API , flakes out 60% of the time. retry up to 5 times with base · 2^n + jitter. jitter prevents the thundering herd. every run is different.

0attempts

0mselapsed

,result

// hit run to start

03. token bucket rate limiter

LIVE

every API needs one. capacity 10, refill 2/sec. each request spends a token. empty → 429. try to spam faster than it refills.

0200 ok

0429

10tokens

bucket10/10

where i've worked.

4 roles · 5+ years · financial systems, subscriptions, and platform work.

Software Engineer

IIntuit

'26 → now

100K+

daily operations

-35%

txn conflicts

-40%

bulk processing time

Built QuickBooks accounting features in Java and Spring Boot — ledger posting, balance calculation, and transaction rules serving 100K+ daily operations. Added concurrency controls that cut transaction conflicts 35%, and checkpointed bulk-processing workflows that cut processing time 40%.

Software Development Engineer

AAmazon

'25 - '26

10K+

txns/day reconciled

-90%

infra cost

-40%

API latency

Architected subscription lifecycle services in Java, Spring Boot, and AWS serverless for the Fuse partner ecosystem behind Prime, Music, and Video. Led an event-driven reconciliation platform on Lambda, DynamoDB, and Glue processing 10K+ transactions daily, cutting infra cost 90% and API latency 40%.

Software Engineer

AAdobe

'22 - '23

module

end-to-end ownership

Kafka

event-driven services

SaaS

Experience Cloud

Built backend services in Java, Spring Boot, Kafka, and REST APIs for Adobe Experience Cloud, growing from feature work to end-to-end module ownership. Engineered event-driven services with Kafka and Redis to keep content and analytics pipelines in sync across enterprise SaaS.

Software Engineer

CCapital One

'19 - '22

OAuth2

secure APIs

Redis

perf tuning

React

servicing dashboards

Built backend services in Java, Spring Boot, and REST APIs for credit-card servicing and transaction processing, plus React dashboards for customer-facing banking apps. Secured APIs with OAuth2 and JWT, and tuned performance with Redis caching.

things I can actually do.

grouped by what I reach for. not a wishlist. not a buzzword cloud.

🧠 languages

Java Python C / C++ JavaScript TypeScript SQL

🎨 frontend

React Redux Next.js RxJS Tailwind HTML/CSS

⚙️ backend

Spring Boot Spring Cloud Node.js Express REST GraphQL

🤖 AI / ML

LLMs RAG AWS Bedrock OpenAI APIs Tool calling Embeddings & vector search Agent architecture Prompt engineering

📡 data & messaging

Kafka Redis PostgreSQL MySQL MongoDB

☁️ cloud & devops

AWS Docker Kubernetes GitHub Actions CI/CD

🎯 production practices my thing

Idempotency Rate limiting Retries with jitter Circuit breakers OAuth2 / JWT Observability

✨ secret drawer

Manoj's Desk

01. webhook idempotency

02. exponential backoff + jitter

03. token bucket rate limiter

where i've worked.

things I can actually do.

things i've built.

manoj's life outside work

✨ secret drawer

Manoj's Desk

Summary

Skills

Experience

Education

Hi, I'm Manoj.

by the numbers

click things. break things.

01. webhook idempotency

02. exponential backoff + jitter

03. token bucket rate limiter

where i've worked.

things I can actually do.

things i've built.

manoj's life outside work