Lead Software Engineer – Workday Finance Integrations

Jobtailor; Colorado; On-site; USD 150,000 - 190,000; Full time

Job summary

Jobtailor is seeking a senior enterprise integration architect to define and govern end-to-end architecture for Workday Financials and related platforms, setting engineering standards for quality, security, and scalability. You will architect secure, scalable Workday-MuleSoft integrations across Salesforce, RevRec, Vertex, and banking systems, and drive API-led connectivity.

You will lead adoption of AI developer tools and automation platforms, embedding AI-assisted practices into the

Qualifications

• 10+ years of enterprise software engineering experience
• 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)
• 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

Responsibilities

• Demonstrate expertise in architecting and delivering secure, scalable integrations using Workday Financials and MuleSoft, while fostering a culture of continuous learning and collaboration.
• Proficient in cloud-native infrastructure design on AWS and GCP, with a strong focus on AI-assisted engineering practices.
• Architect and govern end-to-end integration architectures across Workday Financials, Accounting Center, MuleSoft, and cloud platforms.
• Mentor engineers through architecture and code reviews and collaborate cross-functionally to deliver end-to-end solutions at scale.
• Lead adoption of AI developer tools and automation platforms within the engineering workflow.

Job description

• 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
• 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)
• 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

Core Competencies

Demonstrates expertise in architecting and delivering secure, scalable integrations using Workday Financials and MuleSoft, while fostering a culture of continuous learning and collaboration. Proficient in cloud-native infrastructure design on AWS and GCP, with a strong focus on AI-assisted engineering practices.

Highest-signal resume keywords

• Workday Financials Expertise
• MuleSoft Anypoint Platform Mastery
• Cloud-Native Infrastructure Design
• AI Developer Tools Adoption
• Technical Leadership in Architecture

ATS Optimization Keywords

Hard Skills

• Workday Technical Frameworks
• Integration Architecture
• API Design Principles
• Event-Driven Design
• REST/SOAP Web Services
• Microservices Approaches
• Log Analysis
• Automation Platforms
• Serverless Architecture
• Business Processes

Soft Skills

• Analytical Skills
• Troubleshooting Skills
• Written Communication
• Verbal Communication
• Mentoring

Certifications & Qualifications

• Related Technical Degree

Industry Keywords

• Enterprise Software Engineering
• Integration-Heavy Environments
• API-Led Connectivity
• Continuous Learning
• Cross-Functional Collaboration

Tools & Technologies

• AWS
• GCP
• MuleSoft
• Cursor
• GitHub Copilot
• CodeWhisperer
• Splunk
• API Management
• CloudHub
• Studio