Senior MuleSoft Engineer

In plain terms: you build and ship production MuleSoft integrations — the API-led services, data transformations, and Salesforce and third-party connections that link our clients' enterprise systems. AI isn't a pilot here; it's how we build. Claude generates the code, and our MuleSoft Engineers do the part that decides what actually ships: directing the agent, hardening what it produces, debugging what it gets wrong, and driving the work live for the client.

This seat is for an engineer already living in that future, or sprinting toward it. You'll take real client integrations from build to launch, run several at once, and have the AI leverage to move faster than you ever could by hand. If writing every line from a blank file is your identity, this isn't your role. If directing powerful tools to ship real outcomes is, keep reading.

• Take AI-generated builds to production. The solution is yours: absorb it fast: absorb it fast, configure, debug, test, and drive it through UAT to launch. The craft is judgment — catching where the agent overreached, refactoring to standard, making it genuinely client-ready.
• Run 3–4 engagements at once — autonomously, but on the rails. You own your day and sequence your own work — against milestone dates you're expected to hit, with daily scrum-agent updates and the established delivery playbook as the rails. We don't run standups, story points, or sprint theater; we run lightweight process that's actually followed. Autonomy and discipline, not autonomy instead of it.
• Work AI-first, every day. Claude and tools like it are your primary environment for code, debugging, docs, and status — not an occasional assist. You're fluent at directing them and skeptical enough to catch them.
• Keep everyone ahead of the work. You flag slippage and blockers early and plainly. No surprises — you communicate quickly, propose the path forward, and own the resolution.
  

• Deep, recent, senior level MuleSoft expertise. Hands-on delivery in the last two years — Anypoint, DataWeave, CloudHub or Runtime Fabric, error handling, the real stack. This is the core of the role and the bar is high.
• Working Salesforce knowledge. Credible on at least one cloud (Sales, Service, Experience, Revenue/CPQ, FSC, or Agentforce). You don't need to be a Salesforce specialist — you need to hold your own where a project touches it.
• A real AI practice. You already use Claude, Cursor, or equivalent in your work every day — or you're a fast, hungry adopter who clearly sees where engineering is going. Either way, you can talk specifically about how you direct an agent and where it breaks.
• Communicates clearly & proactively. You run several projects at once with no one chasing you for updates. The team knows where things stand because you tell them — clearly, in writing, and early. You flag a project the moment it starts to slip rather than at the deadline, and you can walk a client through a technical trade-off without losing them.
• Consulting-grade delivery. 3+ years delivering for external clients, with the rigor that takes: a deliberate testing strategy, traceable methodology, and a habit of showing your work. Internal- or product-only backgrounds rarely translate cleanly.
• Strong engineering fundamentals. CI/CD, MUnit coverage, naming and reuse standards, and secure integration (OAuth2, JWT, TLS, RAML/OAS) — applied on top of AI output, not bolted on after.
• MuleSoft Certified Developer, Level 1 — or equivalent depth you can demonstrate.

• Integration experience across Salesforce, AWS, or other SaaS/ERP platforms
• Event-driven patterns (Kafka, Pub/Sub)
• Embedding AI/LLM services into integrations — summarization, document parsing, intelligent transformation
• Based in the Raleigh / Triangle area — a plus given our hybrid future, but not required