Senior MuleSoft Engineer

At Green Irony, we exist to turn AI into Actual Intelligence—accelerating outcomes and proving that complexity is optional. We hire people who automate first, ask permission never, 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 Mule Soft 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.

• Client Delivery Ownership: Lead integration programs end‑to‑end for external clients — from discovery and estimation through SOW shaping, stakeholder alignment, and delivery KPIs (on‑time, on‑budget, CSAT).
• Stakeholder Management (exec → dev): Navigate the full relationship stack. Translate architecture trade‑offs to executives, earn trust with engineering teams, and keep both sides aligned throughout delivery.
• Scope Discipline: Anticipate risk early, communicate trade‑offs clearly, and protect margin through change‑order discipline — without damaging the relationship.
• Autonomous Execution: Own your calendar, your estimates, and your commitments. No one will chase you for updates. You surface risks before they surface you.

Technical Delivery

• Lead technical design, implementation, and deployment of large‑scale Mule Soft integration and API solutions (Cloud Hub 2.0, Runtime Fabric, Anypoint MQ, Flex Gateway, or on‑prem).
• Develop and maintain Data Weave scripts, Mule flows, and CI/CD pipelines (Azure Dev Ops, Git Hub Actions, Jenkins).
• Enforce architectural and security standards (RAML/OAS, OAuth2, JWT, TLS, encryption).
• Monitor and optimise integrations for performance, scalability, and maintainability.

Client‑Facing Services Delivery

• 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.
• AI as Your Default Toolchain: 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.
• Integration Workflows, Augmented: 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.

Ways of Working

• The best engineers here don't wait to be told what to do next. They already know. You set direction, track your own commitments, and communicate proactively — without a layer between you and the client.
• WIP stays at ≤ 2 concurrent work streams. 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.

• Consulting Services
  
  Experience:
  
  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.
• Client‑Facing Ownership: 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.
• API & Microservices…