Founding Infra / Platform Engineer - Known

About the Role

You'll be the foundational engineer owning Known's core infrastructure and platform systems - the backbone that powers our AI-driven matching, voice, and scheduling experiences. From cloud infrastructure and data orchestration to performance monitoring and model deployment assistance, you'll design and scale the systems that make Known fast, reliable, and secure.

You'll work directly with the founding team (AI / ML, product, and design) to establish Known's technical foundation - shaping not just our architecture, but our engineering culture and best practices from day one. This role is ideal for a pragmatic builder who enjoys going from "blank slate" to production and thrives in early-stage environments where reliability, velocity, and simplicity matter most.

Responsibilities

• Design and manage cloud infrastructure (AWS-first, with IaC via Terraform).
• Establish CI / CD pipelines and best practices for rapid, safe iteration (GitHub Actions, Docker, Kubernetes, etc.).
• Build and maintain scalable data ingestion and orchestration pipelines to support ML and product analytics.
• Administer and optimize our databases - PostgreSQL (with pgvector for embeddings) and analytical warehouse.
• Collaborate with AI / ML engineers to deploy and monitor LLM and matching models for inference, evaluation, and retraining.
• Implement observability (logging, metrics, traces, alerts) across backend services, data jobs, and model endpoints.
• Drive reliability and scalability across our web, mobile, and agentic systems - from real-time voice matching to background batch workflows.
• Collaborate cross-functionally with product, design, and ML teams to ensure infrastructure aligns with user and business needs.

Requirements

Example Projects

Why This Role

You'll help define the technical foundation of a product that blends human connection and advanced AI . As one of Known's first engineers, you'll make decisions that influence how the product scales, performs, and evolves - from the data stack to the deployment layer.

If you're excited by the idea of shaping the platform behind a category-defining AI product, this is the place to build it.