Founding Engineer - AI Infra & Scale

We're hiring a Founding Engineer, Scale, Stability & AI Infra at Bitscale

Location: Gurgaon, in-office

Role: Backend / Infra / AI Systems

At Bitscale, we're building a signal-first GTM automation platform that helps SDRs and growth teams become 10x more effective.

We're a tight-knit team of IIT Kanpur alumni and operators who have worked at JP Morgan, HSBC, Nanonets, CityMall, and other high-scale companies. Bitscale has grown 10x in the last few months, with real customers, real usage, and real scale.

Now we're looking for a founding engineer who can help us make the platform fast, stable, and reliable as we scale from thousands to millions of AI and enrichment calls every day.

This is not a regular backend role.

You'll work on systems where latency, throughput, cost, and reliability directly impact revenue.

You'll own hard problems across:

Go backend services

High-volume enrichment pipelines

LLM and AI infra

Rate limiting, queues, and backpressure

NoSQL and search performance

Observability, load testing, and incident response

Frontend and backend performance edges where needed

What you'll do:

Own performance and reliability across our Go backend

Design systems for rate limiting, queueing, retries, and backpressure

Optimize AI and LLM infra for latency, cost, batching, caching, and fallbacks

Scale our NoSQL and search layers, including MongoDB / DynamoDB-like systems and Elasticsearch / OpenSearch

Build observability with metrics, traces, alerts, profiling, and runbooks

Lead load testing and capacity planning as usage grows 10x and then 10x again

Work directly with the founders on architecture, product, and roadmap decisions

What we're looking for:

2 to 3+ years of experience building production backend systems

Strong hands-on experience with Go

Experience with systems that have seen real traffic, real failures, and real scale

Ability to reason deeply about latency, throughput, retries, idempotency, consistency, and failure modes

Hands-on experience with Redis, NoSQL databases, queues, and cloud infrastructure

Comfort working with AI / LLM systems in production

Strong ownership mindset you don't just fix issues, you prevent them from coming back

High agency, high intensity, and strong bias for shipping

Good to have:

Experience with Elasticsearch / OpenSearch

Experience with Kafka, Temporal, SQS, Redis Streams, or workflow engines

Frontend performance experience with Next.js / React

Startup or early-stage company experience

Comfort with profilers, flame graphs, EXPLAIN plans, network traces, and deep debugging

Success in your first 6 months would look like:

p99 latency meaningfully reduced on critical product paths

Platform able to handle 10x current load without reliability issues

LLM cost and latency reduced through better routing, batching, caching, and fallbacks

Strong observability in place so bottlenecks are visible before customers feel them

Clear ownership of scale and reliability across the platform

Why join Bitscale now?

Work directly with the founders

Own architecture and infra at a fast-growing AI + SaaS company

Build systems used by real GTM teams every day

Join at the 1 to 100 stage, where the hardest scaling problems are just beginning

Competitive compensation + meaningful ESOPs

High ownership, high trust, high impact

We're building fast, and we're building in person.

If you want to own the systems that keep a serious AI + SaaS product fast and rock-solid as it scales, this is the window.