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Green Irony · 1 month ago

MuleSoft Architect

United States

Full-time

Remote

Mid, Senior Level

1+ years exp

Green Irony is focused on transforming AI into Actual Intelligence and is seeking a MuleSoft Architect to own the integration platform for their clients. The role involves designing API-led integrations, running an AI-first delivery program, and establishing reusable standards while collaborating with sales on discovery and solutioning.

Service IndustrySoftware

No H1B

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

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

Guide CI/CD, config per env, zero-downtime/rollback strategies

Define SLOs/alerts/dashboards; ensure integrations hit latency/accuracy targets

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)

Own discovery, solution architecture, LOE/SOW with clear assumptions

Translate architecture into value narratives and reusable presales assets

Write crisp ADRs, API docs, runbooks; make decisions legible and repeatable

Qualification

MuleSoft ArchitectureAPI-led DesignMuleSoft Platform MasteryDevOps & CI/CDAI/LLM ToolsSecurity StandardsCloud & NetworkingProgramming ProficiencyClient-Facing ConsultingMuleSoft Certifications

Required

Previous Architecture Experience (Required) — 1+ year in a formal MuleSoft 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

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

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

MuleSoft Certifications — MuleSoft Certified Platform Architect and/or MuleSoft Certified Integration Architect