Key skills
Event-driven architectureIntegration platformsEDI connectivityAPI connectivityHigh availability systemsAI coding toolsLLM-powered feature developmentPythonFlaskNext.jsReactTypeScriptAWS LambdaSQSEventBridgePostgreSQLTerraformGitLab CI/CDLangChainLangGraphAILLMClaudeShopify
About this role
KINIMATIC is revolutionizing fulfillment operations by addressing the challenges of managing distributed networks with multiple facilities and partners. They are seeking a Principal Engineer who will own the technical architecture of their AI-powered platform, build event-driven integrations, and lead a team in AI-assisted development.
Responsibilities:
- The Kinimatic platform — Outbound order fulfillment, Inbound replenishment, real-time Inventory, Dashboard, Item Master, and our NOS network optimization engine
- Event-driven & streaming architecture — design the patterns for how a real-time supply chain platform produces, routes, and consumes events across a distributed warehouse network
- World-class integration platform — EDI and API connectivity (trading partners, WMS providers, Shopify/Amazon/Walmart, carriers) designed for high availability, high scale, and rapid onboarding
- Kini AI — LangChain/LangGraph agents powering logistics intelligence and NOS optimization recommendations
- AI engineering culture — champion Claude Code across the team and define what good looks like when AI is part of how we design, code, test, and ship
- You've designed and owned event-driven architectures in production — not just implemented them
- You've built integration platforms at scale — EDI and API connectivity — with a track record of making it repeatable and reliable
- You have experience with high-scale, highly available connectivity platforms where uptime is non-negotiable
- You use AI coding tools daily and have shipped LLM-powered features in production (LangChain, LangGraph, or equivalent)
- You've mentored engineers and built team capability, not just delivered code
- Bonus: 3PL / logistics domain background or early-stage startup experience
Requirements:
- You've designed and owned event-driven architectures in production — not just implemented them
- You've built integration platforms at scale — EDI and API connectivity — with a track record of making it repeatable and reliable
- You have experience with high-scale, highly available connectivity platforms where uptime is non-negotiable
- You use AI coding tools daily and have shipped LLM-powered features in production (LangChain, LangGraph, or equivalent)
- You've mentored engineers and built team capability, not just delivered code
- 3PL / logistics domain background
- early-stage startup experience