About Oolka

We're Oolka. We've built India's first truly agentic AI that negotiates with banks, fixes credit reports, and saves people real money - all autonomously. Our AI agent Dhruva doesn't just give advice; it stands for our users at each step and gets the job done with lenders, banks and credit bureaus.

Current Reality Check:

1m+ Indians trust us with their credit futures every month

We have processed more than ₹150+ Cr in loan + overdue repayments in last 12

months

We're doing this with a tiny engineering team of ten

Founded by Utkrishta Kumar (ex-CBO, Meesho), we're building India's first truly agentic credit

management platform that helps users improve and maintain healthy credit scores.

Location: Bangalore (WeWork Bellandur) - In-office role

Funding: Seed round of $7m; Backed by Lightspeed India and Z47 (Matrix Partners)

Make AI Do the Actual Work, Not Just Talk About It

Own the entire AI inference stack from user message to negotiation to delighting the user

by getting the job done.

This means:

When users in rural Rajasthan asks about complex credit decisions at 11 PM, your code

determines if they get an answer in 500ms or 5 seconds

When our AI needs to negotiate with banks, lenders and credit bureaus simultaneously

for 1000 users, your architecture decides if we succeed

You’ll be scaling it the way you want the agent the respond to your friends and family.

Tech Stack

What works: FastAPI, Redis, PostgreSQL, AWS, Python 3.11+What you'll choose: Async framework, message broker, observability stack, celery queues, LLM

calls.

Technical Requirements

Must-Have Distributed Systems Experience

2+ years building and scaling distributed systems handling >5K concurrent requests in production

Hands-on experience with microservices decomposition from monolithic architectures

under live traffic

Production experience with service mesh technologies and container orchestration at

scale

Deep understanding of database sharding, replication, and distributed transaction

management

Hands-on experience with CDN optimization and edge computing for

global/multi-region deployments

Proven ability to optimize systems achieving <100ms P99 latency for critical

user-facing operations

Responsibilities

Performance: Maintain <200ms P95 latency for all user-critical operations at 10x current scale

Incident Reduction: Implement monitoring and automation that reduces production

incidents by 80%

Team Enablement: Create platform abstractions that let product teams ship features 3x

faster

Interview Process

1. 2. 3. Technical Assessment: Distributed systems focused technical discussion (60 minutes)

System Design: Performance at scale conversation (60 minutes)

Final Round: Cultural alignment and team interaction

SSE - Backend