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Location
In office (Bengaluru)
Seniority
Senior · 4+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Target is an American general merchandise retailer founded in 1902 as the Dayton Dry Goods Company, which opened the first discount store under the Target name in 1962. It runs roughly two thousand stores across the United States selling apparel, home goods, beauty, electronics, toys and groceries, and has built its position on design partnerships and owned brands that give it products competitors cannot stock. Headquartered in Minneapolis and listed on the New York Stock Exchange, it fulfils the large majority of digital orders from its own stores rather than from separate warehouses.

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture.

We are looking for anL5 Senior Engineer with 4+ years of hands-on Workforce Management (WFM) engineering experience, withUKG Pro Workforce Management. This role focuses on designing, integrating, and supporting enterprise workforce management solutions while driving platform reliability, scalability, and automation.

Responsibilities

  • Design, configure, and enhanceUKG Pro WFM capabilities including timekeeping, scheduling, forecasting,attendance, and advanced Scheduling

  • Design, develop, and support integrations between UKG Pro WFM and enterprise systems using APIs, event-driven architectures, andBoomi Integrations.

  • Troubleshoot production issues, implement enhancements, upgrades, and defect fixes, ensuring reliable platform operations through monitoring, logging, and observability.
  • Build scalable, secure, and maintainable engineering solutions using modern software engineering and cloud-native principles.
  • Develop and execute test cases covering functional, integration, performance, and failure scenarios.
  • Create technical documentation and participate in architecture reviews, incident management, root cause analysis, and continuous improvement.
  • Collaborate with cross-functional teams to deliver enterprise workforce management solutions.
  • Leverage Generative AI, Agentic AI, and automation to improve engineering productivity and workforce management processes.

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 4+ years of software engineering experience with enterprise Workforce Management platforms, UKG Pro WFM.

  • Strong experience with UKG Pro WFM modules including timekeeping, scheduling, forecasting, attendance, and advanced scheduling.Accruals

  • Experience designing and supporting enterprise integrations using REST APIs, JSON, authentication, messaging, and event-driven architectures.
  • Strong troubleshooting skills with production support, monitoring, logging, and diagnostics.
  • Ability to create testable, modular, understandable, and maintainable configurations, scripts, APIs, or supporting technical components.

  • Understanding of cloud-native architectures, distributed systems, secure software development, and enterprise architecture principles.
  • Strong communication, documentation, and cross-functional collaboration skills.

Preferred Qualifications

  • Experience implementing or supporting enterprise-scale UKG Pro Workforce Management.

  • Experience building Boomi Integration and Certified in Boomi Integrations

  • Exposure to Java, Node.js, Python, JavaScript, TypeScript, or front-end technologies is a plus.

  • Knowledge ofmicroservices, messaging platforms, CI/CD, cloud platforms,

  • Experience applying Generative AI or intelligent automation in enterprise solutions.
  • Familiarity with Agile delivery, incident management, observability, and OWASP secure development practices.

Success Behaviors

  • Deliver high-quality, scalable engineering solutions with strong ownership.
  • Solve production issues, improve platform reliability, and drive continuous improvement.
  • Collaborate effectively across teams while mentoring others and promoting engineering best practices.
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