Green Irony

Engineer

• Design and deliver API-led integration solutions on Anypoint Platform.
• Drive architecture decisions and guide engineering teams.
• Ensure clients receive scalable, secure, and AI-optimized integrations.
• 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.
• Provide coaching and technical guidance to engineers; lead code reviews and process improvements.
• Collaborate directly with stakeholders (clients, delivery team, business) to translate requirements into technical solutions.
• Advance automation with AI-assisted code review, static analysis, and LLM-based development platforms.
• Explore and implement AI/LLM services to augment integration workflows (e.g., summarization, transformation, document parsing, test data generation).

Senior MuleSoft Engineer

• 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.
• Provide coaching and technical guidance to engineers; lead code reviews and process improvements.
• Collaborate directly with stakeholders (clients, delivery team, business) to translate requirements into technical solutions.
• Advance automation with AI-assisted code review, static analysis, and LLM-based development platforms.
• Explore and implement AI/LLM services to augment integration workflows (e.g., summarization, transformation, document parsing, test data generation).
• Operate in a flat, high-autonomy team structure without project managers.
• Self-govern to understand project needs, prioritize effectively, manage time, and deliver outcomes through ownership, direct communication, and accountability.

Architect

• Own the integration platform and outcomes for clients.
• Stand up a production-ready API-led foundation.
• Run an AI-first delivery program.
• Design KPI-moving integrations, codify reusable standards.
• Lead Sales partnerships on discovery, solutioning and SOWs.

MuleSoft Architect

• Own the integration platform and outcomes for clients: production-ready API-led foundation and AI-first delivery program
• Stand up API-led target state, NFRs, and governance
• Stand up CH2.0/RTF environments, networking, secrets, and promotion paths
• Publish templates/policies/error strategies in Exchange for reuse
• Author lightweight AI playbook and prompt/snippet library; speed design/mapping/testing while protecting data/IP
• Measure before/after cycle-time and quality deltas; coach teams to adopt AI acceleration
• Guide CI/CD, config per environment, and zero-downtime/rollback strategies
• Define SLOs/alerts/dashboards; ensure integrations meet latency and accuracy targets
• Plan → Ship: define milestones/scope/LOE, run lightweight cadence (checkpoints/RAID), manage change against SOW, deliver predictably
• Forecast & Communicate: maintain estimate variance ≤ ±15% with exec-ready weekly updates
• Own discovery, solution architecture, LOE/SOW; translate architecture into value narratives and presales assets
• Write ADRs, API docs, and runbooks to make decisions legible and repeatable

• Design and deliver API-led integration solutions on Anypoint Platform, ensuring scalable, secure, AI-optimized integrations.
• 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.
• Provide coaching and technical guidance to engineers; lead code reviews and process improvements.
• Collaborate directly with stakeholders to translate requirements into technical solutions.
• Advance automation with AI-assisted code review, static analysis, and LLM-based development platforms.
• Explore and implement AI/LLM services to augment integration workflows (summarization, transformation, document parsing, test data generation).
• Operate in a flat, high-autonomy team structure; self-govern to prioritize, manage time, and deliver outcomes by ownership and direct communication.