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MuleSoft Architect

Job in Town of Poland, Jamestown, Chautauqua County, New York, 14701, USA
Listing for: Green Irony
Full Time position
Listed on 2026-01-03
Job specializations:
  • IT/Tech
    AI Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Town of Poland

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 Mule Soft Architect you’ll own the integration platform and outcomes for our clients. You’ll stand up a production-ready API-led foundation, run an AI-first delivery program, design KPI-moving integrations, codify reusable standards, and lead Sales partnerships on discovery, solutioning and SOWs.

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.

Key Responsibilities
  • Design API-led target state (system/process/experience), NFRs, and governance.
  • Stand up CH2.0/RTF environments, networking, secrets, and promotion paths.
  • Publish templates/policies/error strategies in Exchange that teams actually use.
AI Program & Enablement
  • Author a lightweight AI playbook + prompt/snippet library to speed design/mapping/testing—safely.
  • Measure before/after cycle-time and quality deltas; coach teams to adopt.
Delivery & Reliability
  • Define SLOs/alerts/dashboards; ensure integrations hit latency/accuracy targets.
Project Management
  • Plan → Ship: Define milestones/scope/LOE, run a lightweight cadence (checkpoints/RAID), manage change against SOW, and deliver predictably.
  • Forecast & Communicate: Keep estimate variance ≤ ±15% with clear assumptions and exec-ready weekly updates (options/tradeoffs, risks, decisions).
Presales & Stakeholders
  • Own discovery, solution architecture, LOE/SOW with clear assumptions.
  • Translate architecture into value narratives and reusable presales assets.
Documentation & Communication
  • Write crisp ADRs, API docs, runbooks; make decisions legible and repeatable.
Required Qualifications
  • Previous Architecture Experience (Required)1+ year in a formal Mule Soft Architect role owning target state, decisions, and trade-offs (beyond senior development duties).
  • API & Integration Architecture — Expert in API-led design on Mule 4/Anypoint with clean system/process/experience boundaries.
  • AI/LLM Tools & Automation — Uses LLM assistants/test/data generators/static analysis to accelerate design/mapping/testing while protecting IP/data.
  • Mule Soft Platform Mastery — Data Weave 2.x, Cloud Hub 2.0, Runtime Fabric, Flex Gateway, Anypoint MQ;
    Exchange-driven reuse and policy governance.
  • Dev Ops, CI/CD & IaC — Azure Dev Ops/Git Hub Actions/Jenkins, Maven, Terraform; env promotion to CH2.0/RTF; blue/green + rollback.
  • Security & Standards — RAML/OAS, OAuth2/OIDC, JWT, mTLS/TLS, secrets, encryption; policy bundles baked into delivery.
  • Observability & SLOs — Logs/metrics/traces with Anypoint Monitoring, Datadog/Splunk; error budgets and actionable alerts.
  • Cloud & Networking — AWS/Azure VPC/VPN, private spaces, NAT/DNS/certs; cost/perf trade-offs for CH2.0/RTF.
  • Messaging & Eventing — Pragmatic Anypoint MQ/Kafka with idempotency, DLQs, and backoff.
  • Programming Proficiency — Strong Java/Node.js to review, refactor, and contribute; insists on clean, testable services.
  • Client-Facing Consulting Experience — Worked at a consultancy/SI directly with customers: runs discovery, aligns stakeholders, presents solution options, contributes to LOE/SOW; keeps estimate variance ≤ ±15% and communicates crisply to execs.
  • Mule Soft Certifications
    Mule Soft Certified Platform Architect and/or Mule Soft Certified Integration Architect
    .
Preferred/Bonus
  • Presales & SOWs
    Leads discovery, shapes solution options, models LOE, and writes SOWs with ≤ ±15% variance.
  • AI Acceleration (Hands-On) — Uses LLM tools to speed design/mapping/testing; shows before/after gains without needing a formal playbook.
  • Security & Governance Depth — Policy-as-code mindset; OAuth2/OIDC, mTLS, secrets, and auditable standards that teams actually follow.
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…
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