About the Role

We are seeking a self-directed, visionary technical leader to serve as a Lead Software Engineer within the DET IT Finance Engineering team. This role sits at the intersection of enterprise finance systems, integration engineering, AI-powered tooling, and cloud platforms. You will set the technical direction for Workday Finance and MuleSoft integration solutions, champion AI adoption across the engineering lifecycle, and bring cloud-native thinking (AWS/GCP) to how we design, operate, and evolve our platforms.

What You'll Be Doing

• Define and govern end-to-end architecture for Workday Financials, Accounting Center, and enterprise integration platforms, setting engineering standards for quality, security, and scalability

• Architect and deliver secure, scalable Workday-MuleSoft integrations across Salesforce, RevRec, Vertex, and banking platforms, driving API-led connectivity best practices and integration reliability

• Lead adoption of AI developer tools (Cursor, Copilot, CodeWhisperer) and automation platforms, embedding AI-assisted practices into the engineering workflow and prototyping agentic AI use cases for finance

• Design and operate cloud-native integration infrastructure on AWS and/or GCP, modernizing legacy patterns with event-driven, serverless, and microservices approaches aligned to cloud governance standards

• Mentor engineers through architecture and code reviews, foster a culture of continuous learning and experimentation, and collaborate cross-functionally to deliver end-to-end solutions at scale

What We're Looking For

Required Qualifications

• 10+ years of enterprise software engineering experience, including 5+ years working in Workday Financials / Accounting Center and integration-heavy environments

• Demonstrated technical leadership in architecture and solution design for large-scale enterprise systems

• Expert-level knowledge of Workday technical frameworks: Business Processes, Security, Accounting Center, Prism Analytics, Core Connectors, EIB, Studio, Workday Extend, Orchestrate, BIRT, and Document Transformation

• Hands-on mastery of the MuleSoft Anypoint Platform — Studio, ESB, API Management, CloudHub — and building scalable, secure API-led integrations

• Solid understanding of integration architecture: SOA, event-driven design, API design principles, REST/SOAP web services, and async messaging patterns

• Practical experience with AI developer productivity tools (Cursor, GitHub Copilot, CodeWhisperer) and enthusiasm for embedding AI into the engineering workflow

• Strong analytical and troubleshooting skills, including log analysis (Splunk or similar)

• Excellent written and verbal communication, with the ability to explain complex designs to both technical and business audiences

• A related technical degree required

Preferred Qualifications

• Familiarity with CI/CD pipelines, Git, and DevOps practices in large-scale engineering environments

• Experience with Agentforce or LLM/agentic AI tooling in an enterprise context

• Knowledge of SOX compliance, enterprise security, and finance/ERP governance frameworks

• Experience with event-driven architectures using Kafka, Pub/Sub, SQS, or equivalent

What's in It for You

This is a unique opportunity to make a meaningful, high-impact contribution at scale — directly influencing the architecture, delivery, and long-term evolution of enterprise finance systems that power Salesforce globally.