Software Engineer (xo) - Platform Consumption Console

Workday Workday · Enterprise · Pleasanton, CA +1

Software Engineer (XO) - Platform Consumption Console at Workday, focusing on building infrastructure for a consumption-based pricing model. The role involves engineering data ingestion pipelines, billing calculations, and customer-facing controls to support usage-based products like Workday Agents. It requires implementing user experience on data touch points, enabling ML solutions, and integrating AI-driven capabilities into HR and Finance workflows. The position emphasizes full-stack development, from front-end to resilient backend services, with a focus on large-scale data processing and enterprise-grade applications.

What you'd actually do

  1. implementing user experience on data touch points, enabling ML solutions, and ensuring our AI-driven solutions integrate effectively within the Workday stack.
  2. help build the user-facing and platform experiences that increase trust AI agents .Working within a small, cross-functional pod, you’ll design and ship full stack solutions—from intuitive front-end experiences to resilient backend services that integrate AI-driven capabilities deeply into HR and Finance workflows.
  3. orchestrating the ingestion of massive daily usage metrics and ensuring zero-defect financial ledgers, to building intuitive, high-visibility dashboards for our enterprise customers.
  4. designing, developing, and deploying software solutions
  5. design and implement efficient solutions for large-scale ETL transformations and PySpark job optimization.

Skills

Required

  • 5+ years experience in software development engineering including designing, developing, and deploying software solutions
  • 3+ years XO development experience
  • Experience delivering enterprise-grade online applications
  • 3 + years of experience with UML, Web application development or SaaS (Software as a Service) technologies
  • Algorithmic Thinking
  • distributed data processing
  • memory management
  • large-scale ETL transformations
  • PySpark job optimization
  • API Development
  • RESTful principles
  • AWS API Gateway integration
  • building lightweight interfaces for backend service interaction
  • Code Testing methodologies
  • unit testing for data pipelines
  • integration testing
  • PyTest or similar frameworks
  • Object-Oriented Design (OOD) principles
  • SOLID
  • modularity
  • reusable data transformation components
  • Software Development principles
  • Python
  • Infrastructure as Code (specifically CloudFormation or AWS CDK)
  • Source Control Management (SCM) tools
  • Git
  • Trunk-Based Development
  • collaborative CI/CD workflows
  • Team Collaboration
  • active participation in code reviews
  • architectural whiteboarding
  • creating Technical Writing Documentation
  • state machine logic flows
  • ETL schemas
  • deployment playbooks

What the JD emphasized

  • critical infrastructure
  • central nervous system for usage data
  • pinpoint-accurate billing calculations
  • transparent customer-facing controls
  • usage-based products
  • Workday Agents
  • data engineering
  • ML solutions
  • AI-driven solutions
  • AI agents
  • AI-driven capabilities
  • enterprise infrastructure
  • monetizes its products
  • massive daily usage metrics
  • zero-defect financial ledgers
  • high-visibility dashboards
  • domain-driven platform model
  • large-scale ETL transformations
  • PySpark job optimization