Lead Cloud ERP Engineer - AI-Driven Finance Integrations

100 Salesforce, Inc.

Dallas (TX)

On-site

USD 173,000 - 260,000

Full time

8 days ago

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Job summary

Salesforce is seeking a visionary Lead Software Engineer for the DET IT Finance Engineering team. You will define architecture for Workday Financials, Accounting Center, and enterprise integration platforms, and drive secure API-led integrations across key systems.

The role requires 10+ years in enterprise software engineering, deep Workday/MuleSoft expertise, and hands-on cloud-native design with AWS/GCP. You will mentor engineers and lead AI-enabled initiatives across the pipeline.

Qualifications

  • 10+ years of enterprise software engineering experience, including Workday Financials/Accounting Center or comparable ERP
  • Experience leading architecture and solution design for large-scale enterprise systems
  • Hands-on mastery of MuleSoft Anypoint Platform and building scalable API-led integrations
  • Strong knowledge of integration architectures: SOA, event-driven design, REST/SOAP APIs, async messaging
  • Familiarity with AI developer productivity tools and embedding AI into engineering workflows

Responsibilities

  • Define end-to-end architecture for Workday Financials and enterprise integration platforms.
  • Architect secure, scalable Workday‑MuleSoft integrations across Salesforce and banking platforms.
  • Lead adoption of AI developer tools and embed AI in the engineering workflow.
  • Design and operate cloud-native integration infrastructure on AWS and/or GCP.
  • Mentor engineers and drive cross-functional collaboration to deliver scalable solutions.

Skills

Enterprise leadership
Architecture governance
AI tooling adoption
Cloud-native design
API design
DevOps/CI-DevOps

Tools

Workday
MuleSoft Anypoint Platform
AWS
GCP

Job description

Salesforce is seeking a visionary Lead Software Engineer for the DET IT Finance Engineering team. You will define architecture for Workday Financials, Accounting Center, and enterprise integration platforms, and drive secure API-led integrations across key systems.

The role requires 10+ years in enterprise software engineering, deep Workday/MuleSoft expertise, and hands-on cloud-native design with AWS/GCP. You will mentor engineers and lead AI-enabled initiatives across the pipeline.

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