Lead Software Engineer, Cloud ERP Finance Systems
$173k - $260k • Remote • Texas - Dallas
Posted 15d ago
Job Location
Texas - Dallas
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Engineer
About the job
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. 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.
Responsibilities
- 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.
Requirements
- 10+ years of enterprise software engineering experience, including experience with Workday Financials / Accounting Center or comparable Oracle/SAP ERP platforms.
- Experience working in complex, 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.
- 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.
- A related technical degree.