Lead Software Engineer, Cloud ERP Finance Systems

Leadout Capital; Texas; On-site; USD 180,000 - 240,000; Full time

Job summary

Leadout Capital is seeking a visionary Lead Software Engineer to guide the DET IT Finance Engineering team.

You will define architecture for Workday Financials and enterprise integrations, lead secure API-led integrations, and champion AI adoption across the engineering lifecycle. The role emphasizes cloud-native design on AWS/GCP and mentoring engineers to deliver scalable solutions.

Qualifications

• 10+ years of enterprise software engineering experience, including ERP platforms such as Workday Financials/Accounting Center or Oracle/SAP.
• Experience in complex, integration-heavy environments.
• Technical leadership in architecture for large-scale systems.
• Expert knowledge of Workday technical frameworks and MuleSoft Anypoint Platform.
• Hands-on experience with AI developer productivity tools and embedding AI in workflows.

Responsibilities

• Define end-to-end architecture for Workday Financials and integration platforms with high standards for quality, security, and scalability.
• Architect and deliver secure, scalable Workday-MuleSoft integrations across systems and banking platforms.
• Lead adoption of AI Developer tools and automation platforms within the engineering lifecycle.
• Design and operate cloud-native integration infrastructure on AWS and/or GCP, adopting event-driven, serverless, and microservices approaches.
• Mentor engineers through architecture and code reviews and collaborate cross-functionally to deliver scalable end-to-end solutions.

Skills

Technical leadership

Architectural design

API design

Cloud architecture

Troubleshooting

Education

Related technical degree

Tools

MuleSoft Anypoint Platform

Workday tools

AWS

GCP

Job description

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 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

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

• A related technical degree

Why Join?

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.