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.