Lead end-to-end MuleSoft API-led integration engagements for external clients: design, implement, and deploy solutions on Anypoint Platform; develop DataWeave and Mule flows; manage CI/CD and cloud-native deployments; own stakeholder relationships, scope discipline, delivery KPIs, and coach engineers while integrating AI/LLM tools into workflows.
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.
What You'll OwnYou will be the technical owner of your client engagements — not a resource assigned to a ticket queue. That means:
- 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 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.
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.
Leadership & Collaboration
- 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.
Innovation & AI
- 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 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.
- 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 Architecture: Expert in designing, implementing, and maintaining distributed, scalable API-led solutions using MuleSoft and industry-standard patterns.
- MuleSoft Platform Mastery: Advanced hands-on with Anypoint Platform, including DataWeave 2.x, CloudHub 2.0, Runtime Fabric, Flex Gateway, and Anypoint MQ.
- Autonomous Execution: 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.
- AI/LLM Tools & Automation: 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.
- DevOps, CI/CD & Automation: Strong experience with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins), containerization (Docker/Kubernetes), and cloud-native deployment strategies.
- Security & Integration Standards: Advanced knowledge of RAML/OAS, OAuth2, JWT, TLS, and encryption best practices.
- Programming Proficiency: Skilled in Java and Node.js, with the ability to refactor legacy codebases into clean, maintainable solutions.
- MuleSoft Certifications: MuleSoft Certified Developer – Level 1 required; Architect or Integration Professional certifications strongly preferred.
- 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.
Remote - USA
$135,000—$160,000 USD
Transform Your Career — the AI-First Way
At Green Irony, you…
- Take full ownership of your work—proactively solve problems and drive deliverables to completion.
- Relentlessly pursue outcomes, measuring success by delivered value, not just output.
- Solve complex problems with practical, innovative solutions.
- Communicate directly, transparently, and with positive intent—focusing on clarity, not politics.
- Grow continuously—mentoring, learning, and automating to expand your impact.
- Competitive salary + performance bonus
- Medical, dental, and vision coverage
- 401(k) with generous company match
- Flexible PTO and remote-first work environment
- Annual professional development budget (certifications, conferences, AI tools)
- Equipment stipend
Green Irony is an equal opportunity employer committed to building an inclusive team where diverse voices drive better outcomes.
We evaluate all qualified applicants without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, veteran status, disability, or any other protected classification—because the only bias we tolerate is toward delivering excellent work.
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