Senior MuleSoft Engineer

Green Irony•Raleigh, NC

6d•$135,000 - $160,000•Remote

About The Position

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. As a Senior MuleSoft Engineer, you will design and deliver API-led integration solutions on Anypoint Platform — directly with clients, from discovery through go-live. You'll drive architecture decisions, protect margin through scope discipline, and build the kind of trusted client relationships that turn one engagement into many.

Requirements

3–5+ years delivering integration programs for external clients — leading discovery/estimation, shaping SOWs, managing stakeholders from exec to dev, and owning delivery KPIs. This is non-negotiable. Internal IT delivery experience does not substitute.
Proven track record of managing client relationships through the full engagement lifecycle — including difficult scope and change-order conversations that preserve both trust and margin.
Expert in designing, implementing, and maintaining distributed, scalable API-led solutions using MuleSoft and industry-standard patterns.
Advanced hands-on with Anypoint Platform, including DataWeave 2.x, CloudHub 2.0, Runtime Fabric, Flex Gateway, and Anypoint MQ.
Demonstrated ability to self-govern in flat, PM-free consulting environments — independently scoping, prioritizing, and delivering without hand-holding. If you've only worked in highly structured orgs, be honest with yourself about this one.
You don't just tolerate AI tools — you seek them out. Cursor, LLM-based assistants, AI-powered static analysis — these are in your daily rotation, not your LinkedIn bio.
Strong experience with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins), containerization (Docker/Kubernetes), and cloud-native deployment strategies.
Advanced knowledge of RAML/OAS, OAuth2, JWT, TLS, and encryption best practices.
Skilled in Java and Node.js, with the ability to refactor legacy codebases into clean, maintainable solutions.
MuleSoft Certified Developer – Level 1 required; Architect or Integration Professional certifications strongly preferred.

Nice To Haves

Experience integrating Salesforce, AWS, or other SaaS/ERP platforms.
Familiarity with event-driven architectures (Kafka, Pub/Sub).
Hands-on experience or strong interest in AI/ML pipeline design or integration.

Responsibilities

Lead technical design, implementation, and deployment of large-scale MuleSoft integration and API solutions (CloudHub 2.0, Runtime Fabric, Anypoint MQ, Flex Gateway, or on-prem).
Develop and maintain DataWeave scripts, Mule flows, and CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins).
Enforce architectural and security standards (RAML/OAS, OAuth2, JWT, TLS, encryption).
Monitor and optimize integrations for performance, scalability, and maintainability.
Lead discovery sessions, shape estimates, and contribute to SOW development — you are the technical voice in the room with the client.
Own delivery KPIs: on-time rate ≥90%, estimate variance ≤±15%, client satisfaction scores that earn repeat business.
Proactively communicate status, risks, and decisions — updates go out without being asked.
Build trusted relationships that make scope conversations easier, not harder.
When scope creeps (and it will), you call it — with a path forward, not just a flag.
Provide coaching and technical guidance to engineers; lead code reviews and process improvements.
Operate as a peer, not a manager — lift standards through quality of work and direct feedback.
You reach for your AI-enabled IDE, LLM-based assistants, and AI-powered static analysis before anything else — not as a shortcut, but because better tools produce better outcomes. You don't write code you can automate reviewing.
You actively prototype and deploy AI/LLM services inside integration solutions — summarization, document parsing, intelligent transformation, synthetic test data generation.
Advance automation with AI-assisted code review and LLM-based development platforms to accelerate delivery and lift code quality across the team.
You set direction, track your own commitments, and communicate proactively — without a layer between you and the client.
WIP stays at ≤2 concurrent workstreams. You know what's at risk before your teammates do.
If you've always been three steps ahead of your own deadlines, you'll feel right at home.