Full Stack Software Engineer - Agent Platform

Workday•Atlanta, GA

4d•$130,400 - $195,600•Hybrid

About The Position

As a Full Stack Engineer in the PCC team, you’ll 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. This role offers ground-floor enterprise impact, as PCC is rapidly transitioning from a localized billing tool into a core piece of Workday’s enterprise infrastructure. The work you do here will directly shape how Workday monetizes its products for years to come. You will tackle complex, high-stakes engineering and product challenges—from orchestrating the ingestion of massive daily usage metrics and ensuring zero-defect financial ledgers, to building intuitive, high-visibility dashboards for our enterprise customers. The team operates with a "Startup Within a Giant" culture, transitioning to a highly focused, domain-driven platform model, ideal for builders who want to define strategy, establish new technical standards, and see the immediate impact of their work.

Requirements

Basic Qualification (Mid-Level P3): 5+ years experience in software development engineering including designing, developing, and deploying software solutions.
Basic Qualification (Mid-Level P3): 2+ years experience with a web development framework (Python or Java strongly preferred).
Basic Qualification (Mid-Level P3): 2+ years experience with Backend development or Data Engineering, particularly within a cloud environment (AWS).
Basic Qualification (Senior P4): 8+ years experience in software development engineering including designing, developing, and deploying software solutions.
Basic Qualification (Senior P4): 5+ years experience with a web development framework (Python or Java strongly preferred).
Basic Qualification (Senior P4): 5+ years experience with Backend development or Data Engineering, particularly within a cloud environment (AWS).
Bachelor’s degree in Computer Science, Engineering, or related discipline, or equivalent practical experience.
Solid ability in Algorithmic Thinking, including distributed data processing and memory management.
Working knowledge of API Development, including RESTful principles and AWS API Gateway integration.
Good understanding of Code Testing methodologies, such as unit testing for data pipelines and integration testing.
Good understanding of Object-Oriented Design (OOD) principles like SOLID and modularity.
Solid understanding of Software Development principles and proficiency in Python and Infrastructure as Code (specifically CloudFormation or AWS CDK).
Working experience with Source Control Management (SCM) tools such as Git and branching strategies like Trunk-Based Development.
Proven ability in Team Collaboration within a software development team.

Nice To Haves

Experience in building lightweight interfaces for backend service interaction.
Experience with PyTest or similar frameworks.
Experience with Trunk-Based Development, with a focus on collaborative CI/CD workflows.
Experience with PySpark job optimization.

Responsibilities

Design and ship full stack solutions, from intuitive front-end experiences to resilient backend services.
Integrate AI-driven capabilities deeply into HR and Finance workflows.
Orchestrate the ingestion of massive daily usage metrics.
Ensure zero-defect financial ledgers.
Build intuitive, high-visibility dashboards for enterprise customers.
Define strategy and establish new technical standards.
Participate in code reviews and architectural whiteboarding.
Create Technical Writing Documentation for state machine logic flows, ETL schemas, and deployment playbooks.