Founding Platform Engineer

Hyperspell•San Francisco, CA

1d•$150 - $250•Onsite

About The Position

As our founding platform engineer, your mission is to build the infrastructure that makes Hyperspell feel like magic — fast, reliable, and effortlessly scalable. You'll own the foundation that our entire product is built on, ensuring that when customers trust us with their data, we never let them down. You'll tackle challenges like: Scaling to the next order of magnitude: We're growing fast. You'll design and evolve the systems that let us absorb 10x traffic increases without anyone noticing Bulletproof data pipelines: Millions of documents flow through our platform. You'll build the concurrency control, deduplication, and fault tolerance that ensures every single one is processed correctly, exactly once Making it fast: You'll profile, benchmark, and ruthlessly optimize — shaving latency from search queries, eliminating bottlenecks, and making every API call feel instant Observability that tells a story: Building the dashboards, traces, and alerts that let the team understand what's happening in production at a glance — and get paged before customers notice Infrastructure as a product: Our platform is our product. You'll treat uptime, performance, and developer experience as features, not afterthoughts This is a high-autonomy role where you'll own problems end-to-end: from diagnosing a production incident, to shipping the fix, to building the systems that prevent it from ever happening again. You'll work directly with founders and have outsized impact on the company.

Requirements

3-5 years of experience in backend, platform, or infrastructure engineering
Strong fluency in Python
Deep understanding of databases, networking, and distributed systems
Experience operating production services on cloud infrastructure
Clarity of thought, excellent communication
Ability to work on location in San Francisco

Responsibilities

map out our biggest bottlenecks and help us migrate legacy services to scalable alternatives
spun up a continuous monitoring across environments and use agentic AI to resolve problems before they arise
built a scalable, distributed ETL pipeline for our continuous ingestion and memory extraction that works for our smallest startup customers and large enterprises alike.