Software Engineer – Workforce Management Platform

The Home Depot

Atlanta (GA)

On-site

USD 100,000 - 130,000

Full time

6 days ago
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Job summary

The Home Depot's Workforce Management IT team builds and operates applications, integrations, and cloud infrastructure behind UKG Pro WFM / Dimensions and related tools. You will work across the full stack, supporting integrations and cloud platforms and partnering with UKG for production reliability.

You will also contribute to CI/CD pipelines, data pipelines, and modern web/backend development, with opportunities to apply AI-assisted tooling and drive improvements in a fast-paced enterprise

Qualifications

  • Bachelor's degree or equivalent in a related field.
  • Experience with full-stack development and cloud environments.
  • Familiarity with integration platforms and API-based integrations.
  • Knowledge of SQL/NoSQL databases and data pipelines.
  • Exposure to GCP, CI/CD tooling, containerization, and security basics.

Responsibilities

  • Develop, test, deploy, and maintain software across UI and backend.
  • Configure and support UKG Pro WFM/Dimensions integrations and related systems.
  • Collaborate in agile processes and troubleshoot production issues with vendors.

Skills

Front-end React/TypeScript
Back-end service development
SQL & NoSQL databases
Google Cloud Platform
CI/CD tooling (Spinnaker)
Docker / containerization
Git / GitHub
APIs & integrations
Identity / SSO (SAML/OIDC)
Security best practices
AI-assisted tooling in engineering

Education

Bachelor's degree

Tools

Dell Boomi
Spinnaker
Docker
GitHub
GKE/Kubernetes
BigQuery

Job description

The Home Depot's Workforce Management IT team builds and operates applications, integrations, and cloud infrastructure behind UKG Pro WFM / Dimensions and related tools. You will work across the full stack, supporting integrations and cloud platforms and partnering with UKG for production reliability.

You will also contribute to CI/CD pipelines, data pipelines, and modern web/backend development, with opportunities to apply AI-assisted tooling and drive improvements in a fast-paced enterprise

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