> Markdown version of [/jobs/ext/4617202-senior-software-engineer-node-js-typescript-kafka-ai-coding-agents-phoenix-remote-usa-up-to-230k-equity](https://www.wearedevelopers.com/jobs/ext/4617202-senior-software-engineer-node-js-typescript-kafka-ai-coding-agents-phoenix-remote-usa-up-to-230k-equity). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Software Engineer: Node.js/TypeScript, Kafka & AI Coding Agents | Phoenix (Remote USA) | Up to $230K + Equity

- **Company:** BIG WAVE, LLC
- **Location:** Phoenix, AZ, United States (Remote available)
- **Experience:** Expert
- **Salary:** $230,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software as a Service, Distributed Systems, Electronic Data Interchange (EDI), Node.Js, RabbitMQ, TypeScript, AI Coding Agents, Backend, Agentic-AI, Event Driven Architecture, Apache Kafka
- **Published:** November 7, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/px8i2sfs6n

## About the Role

3. Expert Node.js and TypeScript, backend first. You need to be a backend product engineer.
 4. Distributed systems and messaging in production. Kafka, RabbitMQ or similar in high-volume, transactional settings.
 5. You ship production work with AI coding agents. Agent-first day to day, better still if you've built agent features or your own agent tooling. A strong bonus, but never a stand-in for design depth.
 6. Growth-stage background. Ideally Series C and beyond, or Series A/B with genuine enterprise traction. Large-company-only careers won't clear the bar.
 7. 5 to 15 years in product engineering.
 8. Product-minded and a strong communicator. You hold opinions, defend them, and are comfortable having them challenged.
 9. SaaS background is a plus. Supply chain, logistics or B2B data exchange experience is a bigger one.

## Description

* Core stack: Node.js and TypeScript across the backend services you'll own and design
 * Messaging: Kafka, RabbitMQ and event-driven architecture, carrying high-volume business transactions between companies, where ordering, idempotency, retries and replay can't go wrong
 * Scale: hundreds of millions of transactions processed for hundreds of customers across thousands of live trading connections, so throughput and reliability are designed in from day one
 * AI in the product: AI built into customer workflows, writing and maintaining the data rules that used to take people weeks of manual setup, and catching errors before they hit a customer's operations
 * AI in the workflow: coding agents are standard on every engineer's desk. You direct them, review their output line by line and own what ships
 * Architecture ownership: you'll write the technical designs for large initiatives and plan for performance, scale and reliability up front
 * Product surface: a self-service platform and API, so customers integrate and go live themselves, You'll take major product initiatives from problem statement to production architecture. You'll decide how the system should work, direct AI agents to help build it, and review what they produce as hard as you'd review a senior colleague's pull request. Fundamentals matter more here, not less. You'll also mentor other engineers and work closely with product to make sure what ships moves the business.