Founding Platform Engineer Waniwani

San Francisco, CA - USA

Monthly Salary: Not Disclosed

Posted on: 2 days ago

Vacancies: 1 Vacancy

Job Summary

Your job is to make Waniwanis infrastructure invisible at scale.

We launched the first insurance app inside ChatGPT. Now hundreds of companies want to deploy their own AI-native storefronts through our platform. Every one of them needs its own MCP server its own codebase its own distribution. All running flawlessly all interconnected all managed by you.

The Company

Waniwani is building the AI distribution infrastructure for the $10T services economy. We enable companies to sell quote-based services (insurance wealth ) directly inside LLMs where buying decisions are moving. Think Shopify but for services. Were building the rails for AI-native commerce.

This is Day 1 of a platform shift. Our ChatGPT insurance launch triggered $26B in market cap losses for the worlds largest brokers in 48 hours. The press called it the industrys ChatGPT moment. We call it Day 1.

Why This Role Exists

Were past proof of concept. The product works. Now we need to run it for hundreds of customers simultaneously each with their own MCP server their own data pipelines their own distribution dashboards without the platform breaking a sweat.

This is a systems-level engineering problem. Youll own the architecture that lets Waniwani scale from dozens of deployments to thousands. Multi-tenant infrastructure. Multi-codebase orchestration. Real-time data flowing across hundreds of interconnected services. The kind of work where one bad abstraction costs you months and one good one buys you years.

We expect 95% of your code to be written by AI. Your value isnt in typing. Its in knowing what to build how to architect it and when the AI got it wrong. Youll operate at the speed of someone who treats LLMs as a core part of their engineering workflow not a novelty. The bottleneck is judgment not keystrokes.

What Youll Actually Do

Own the multi-tenant platform.Architect and maintain the infrastructure that hosts hundreds of MCP codebases. Each isolated each configurable all observable from a single pane of glass (or MCP).
Build the data backbone.Design the pipelines that aggregate statistics analytics and performance metrics across every deployed instance. Make the data real-time reliable and actionable.
Ship the core app.Work hands-on in the main Waniwani application: a codebase with Drizzle ORM React Query and a modern component architecture. Youll build features that customers and internal teams use daily.
Design for scale.Make architectural decisions that hold at 10x. Multi-codebase deployment strategies database partitioning caching layers job queues. Whatever the problem demands.
Automate everything.CI/CD pipelines codebase provisioning health monitoring rollback systems. If a human has to do it twice you build a system to do it forever.
Instrument relentlessly.Logging tracing alerting. When something breaks at 2am across 300 instances the system should tell you exactly where and why before anyone notices.
Youll work directly with the CTO. The architecture is yours to shape. The stack is TypeScript end-to-end.

This Role Is for You If

Youve built and operated systems at real scale. Youve dealt with multi-tenant architectures where tenant isolation actually matters. Youve managed codebases that couldnt fit in one repo and data that couldnt fit on one machine.
Youre a senior engineer with 5 years of production TypeScript. Youve been the person on-call when things break and the person who redesigns systems so they stop breaking.
You think in systems not features. When something works for one customer you make it work for a thousand.
Native or bilingual English required. French is a plus.

Pluses

Experience with multi-tenant SaaS platforms (tenant isolation provisioning billing)
Built or operated big data pipelines (Kafka ClickHouse BigQuery or similar)
Deep PostgreSQL knowledge: partitioning query optimization connection pooling at scale
Infrastructure-as-code experience (Terraform Pulumi or similar)
Familiarity with MCP (Model Context Protocol) or LLM tool-use ecosystems
Contributed to open-source infrastructure projects
Experience with Drizzle ORM or similar modern TypeScript stacks
Managed deployments across multiple cloud providers or edge networks
Built internal developer platforms or deployment automation

Why Waniwani

Ruthless execution.Execution is what differentiates average outcomes and startup failure from massive impact. You will learn to execute surrounded by relentless doers and extremely ambitious teammates.
Ownership.Youll architect the entire platform infrastructure from the ground up.
Category creation.You wont join a market. Youll contribute to defining a category.
Global.We sell global from day 0: US Australia Middle East Korea with offices in Paris San Francisco New York and remote across Europe.
Real equity.Meaningful ownership at the earliest stage.
Best prep for founding.If you want to start your own VC-backed venture this is the best battlefield to train on.

Required Experience:

Your job is to make Waniwanis infrastructure invisible at scale.We launched the first insurance app inside ChatGPT. Now hundreds of companies want to deploy their own AI-native storefronts through our platform. Every one of them needs its own MCP server its own codebase its own distribution. All run...