Job Opportunities API

At Green Irony, we exist to turn AI into Actual Intelligence — accelerating outcomes and proving that complexity is optional. We don't just build AI-native systems for our clients; we run our own company on them. Quoting, hiring, delivery, account management — the same stack we implement for customers is the stack we operate on every day. It lets a small team deliver like one 10x its size: enterprise-grade integrations shipped in weeks, not months, by senior US-based engineers working alongside AI. We hire people who automate first, bias hard toward action, and treat ownership as a default setting. If you'd rather govern yourself than be governed by layers of project managers, welcome home. What you'll do 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 directing powerful tools to ship real outcomes is, keep reading. Own integrations from build to launch. You take client integrations the rest of the way to go-live — directing the agent, hardening what it produces, debugging, testing, and driving through UAT. The craft is judgment: knowing what's genuinely production-ready and what only looks it. Run a portfolio of concurrent engagements. You sequence your own work across live projects against real launch dates. We run lightweight and async — no standups, no story points, no sprint theater. You own your day; we trust you to. 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. What we're looking for 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. Mul