Platform Engineer

Storm3; San Francisco (CA); On-site; USD 650,000; Full time

Benefits offered by this job

Competitive compensation

Excellent health, dental, and vision insurance

401k match

Paid family leave

Job summary

A tech leader in AI innovation is seeking a Principal-level Platform Engineer to architect a next-generation AI-powered learning ecosystem. In this high-impact role, you'll design secure APIs, build developer tools, and ensure compliance and security. Candidates should have over 5 years of experience with large-scale API ecosystems and expertise in Kubernetes and integration frameworks. This position offers up to ~$650k in total compensation, along with excellent health benefits and a chance to work with a high-caliber team.

Qualifications

• 5+ years building large-scale API or integration ecosystems.
• Deep experience with API design, SDKs, and multi-tenant architecture.
• Hands-on experience with Kubernetes/containers, OAuth2, and gRPC/REST.

Responsibilities

• Architect and evolve a secure, scalable external API gateway.
• Implement rate limiting, permissions, auditability, and secure experiences.
• Design pub/sub streams for syncing learning activity across systems.

Skills

API design

SDKs

plugin systems

multi-tenant architecture

Kubernetes

OAuth2

gRPC

event-driven infrastructure

security fundamentals

Job description

About the Role

We’re looking for a Principal-level Platform Engineer to architect the next generation of our AI-powered learning ecosystem, including our Partner API platform, Connector services, and LearnOS plugin framework.

You'll lead core technical strategy for how external developers, enterprise partners, and AI agents (MCP + agentic frameworks) interact with the platform.

This is a high-impact, foundational role at the intersection of APIs, integrations, agent interoperability, and large-scale distributed systems.

Responsibilities

• Architect and evolve a secure, scalable external API gateway
• Build SDKs, tooling, and multi-tenant developer surfaces
• Define long-term platform extensibility strategy
• Design sandboxed plugin runtimes for real-time learning triggers
• Architect participation in MCP and emerging agent ecosystems
• Build APIs enabling agents to create study sets, track progress, trigger learning workflows, and operate autonomously

Security, Governance & Compliance

• Implement rate limiting, permissions, auditability, and secure-by-default developer experiences
• Partner with Legal & Trust/Safety on compliance and responsible platform access

Eventing, Data Exchange & Infra

• Design pub/sub streams for syncing learning activity across internal and external systems
• Enable consistent, real-time interactions across tools and integrations

Requirements

• 5+ years building large-scale API, developer platform, or integration ecosystems
• Deep experience with API design, SDKs, plugin systems, multi-tenant architecture
• Expertise with agent frameworks (MCP), protocol design, LLM/AI interoperability
• Hands‑on experience with Kubernetes/containers, OAuth2, gRPC/REST, event‑driven infra
• Strong security & privacy fundamentals
• Proven ability to own architecture end‑to‑end and drive platform evolution at scale

Why Apply

• Build foundational infrastructure behind a global learning platform used by 60M+ people
• Work at the cutting edge of Generative AI, agentic systems, and adaptive learning
• FAANG‑competitive comp: Total package up to ~$650k
• High‑caliber team from top AI labs and platform orgs
• Excellent health, dental, vision, 401k match, paid family leave

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

Staffing and Recruiting