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Lead Software Engineer, Workday Finance Integrations

Job in Atlanta, Cass County, Texas, 75551, USA
Listing for: Salesforce, Inc.
Full Time position
Listed on 2026-07-27
Job specializations:
  • Software Development
    Software Architect, Cloud Engineer - Software, Backend Developer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 172500 - 260100 USD Yearly USD 172500.00 260100.00 YEAR
Job Description & How to Apply Below
## Lead Software Engineer, Workday Finance Integrations Apply remote type:
Office Tech-Flexible locations:
Texas
- Dallas:
Colorado
- Denver:
Georgia
- Atlanta:
Indiana
- Indianapolis time type:
Full time posted on:
Posted Yesterday time left to apply:
End Date:
August 31, 2026 (30+ days left to apply) job requisition :
JR347374
* To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
* Job Category Software Engineering Job Details
**** About Salesforce
**** Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Applications will be accepted until 08/31/2026.
** 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 Mule Soft 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-Mule Soft integrations across Salesforce, Rev Rec, Vertex, and banking platforms, driving API-led connectivity best practices and integration reliability
* Lead adoption of AI developer tools (Cursor, Copilot, Code Whisperer) 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 Mule Soft Anypoint Platform — Studio, ESB, API Management, Cloud Hub — 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, Git Hub Copilot, Code Whisperer) 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 Dev Ops practices in large-scale engineering environments
* Experience with Agentforce…
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