MuleSoft Architect

Location: Raleigh, North Carolina, United States; Remote

Department: Delivery

As a MuleSoft Architect, you won't be handed a ticket queue or a seat at someone else's table. You'll own the integration platform for our clients — end-to-end. That means standing up a production-ready API-led foundation, running an AI-first delivery program, and building the kind of trusted client partnerships that turn a single engagement into a long-term relationship. You set the architectural direction. The rest of the team follows your lead.

Location: Remote (US). Raleigh–Durham is a plus, not required.

Eligibility: Must live in the US and be authorized to work in the US; no sponsorship.

What You'll Own

You are the technical decision-maker for your client engagements — not a consultant waiting for sign-off.

• Integration Platform Ownership: Design the target-state API-led architecture (system/process/experience layers), define NFRs, govern standards, and publish reusable templates that teams actually use — not just reference.
• AI-First Program Leadership: Build the AI playbook. Create prompt and snippet libraries that accelerate design, mapping, and testing. Measure the before/after. Coach your team to adopt. Don't theorize — demonstrate.
• Delivery Accountability: Own milestones, scope, and LOE. Keep estimate variance ≤ ±15%. Communicate risks before anyone has to ask. Exec-ready updates go out weekly, without prompting.
• Presales Partnership: Lead discovery, shape solution architecture, and co-author SOWs with clear assumptions. You are the technical voice in the room — and you know how to make architecture land as a value narrative, not a tech briefing.
• Autonomous Execution: You track your own commitments. You surface risks before they surface you. If you've always been three steps ahead of your own deadlines, you'll feel right at home.

Key Responsibilities

Architecture & Platform

• Design API-led target state (system/process/experience), NFRs, and governance.
• Stand up CloudHub 2.0/RTF environments, networking, secrets, and promotion paths.
• Publish templates, policies, and error strategies in Exchange that set the delivery bar — and that teams actually use.

AI Program & Enablement

• Author a practical AI playbook + prompt/snippet library to accelerate design, mapping, and testing — safely.
• Measure cycle-time and quality deltas before and after. Show the gains. Coach adoption.

Delivery & Reliability

• Guide CI/CD strategy, config per environment, and zero-downtime/rollback patterns.
• Define SLOs, alerts, and dashboards. Build integrations that hit latency and accuracy targets.

Presales & Stakeholders

• Own discovery, solution architecture, and LOE/SOW development with clear assumptions.
• Translate architecture trade-offs into exec-ready options. Build presales assets that accelerate the next deal.

Documentation & Communication

• Write ADRs, API docs, and runbooks that make decisions legible and repeatable.
• Direct, no-fluff communication — always. If you can say it in three sentences, don't use ten.

Required Qualifications

• Architecture Experience (Required): 1+ year in a formal MuleSoft Architect role owning target state, decisions, and trade-offs — not just senior development duties.
• API & Integration Architecture: Expert-level API-led design on Mule 4/Anypoint with clean system/process/experience boundaries.
• 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.
• MuleSoft Platform Mastery: DataWeave 2.x, CloudHub 2.0, Runtime Fabric, Flex Gateway, Anypoint MQ; Exchange-driven reuse and policy governance.
• DevOps, CI/CD & IaC: Azure DevOps, GitHub Actions, Jenkins, Maven, Terraform; env promotion to CH2.0/RTF; blue/green + rollback strategies.
• Security & Standards: RAML/OAS, OAuth2/OIDC, JWT, mTLS/TLS, secrets, encryption — policy bundles baked into delivery, not bolted on after.
• Observability & SLOs: Anypoint Monitoring, Datadog, or Splunk; error budgets and actionable alerts.
• Cloud & Networking: AWS/Azure VPC/VPN, private spaces, NAT/DNS/certs; cost and performance trade-offs you can defend.
• Client-Facing Consulting Experience: You've worked at a consultancy or SI with direct client ownership. You run discovery, align stakeholders from exec to dev, contribute to LOE/SOW, and keep estimate variance ≤ ±15%. Internal IT delivery doesn't substitute.
• MuleSoft Certifications: MuleSoft Certified Platform Architect and/or MuleSoft Certified Integration Architect required.

Preferred / Bonus

• Experience leading presales end-to-end — discovery through signed SOW.
• Hands-on AI acceleration work with documented before/after delivery gains.
• Security and governance depth: policy-as-code, OAuth2/OIDC, mTLS, auditable standards teams actually follow.

Transform Your Career — the AI-First Way

At Green Irony, you…

• Take full ownership of your engagements — client, scope, delivery, and outcome.
• Relentlessly pursue measurable business value, not ticket throughput.
• Solve complex problems with practical, innovative solutions.
• Communicate directly, transparently, and with positive intent — clarity over politics.
• Grow continuously — mentoring, learning, and automating to expand your impact.

Benefits Snapshot

• 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

Equal Opportunity, Zero BS

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.