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Staff Developer

$153.3k - $239.5k
Full-time

Dayforce

Role Description

We are building the Intelligent Implementation Workspace, the AI-native system that will transform how customers go live on Dayforce. It is one workspace that carries an implementation from a customer's raw inputs all the way through configuration, data migration, and testing. AI agents do the heavy lifting so the experts who deliver implementations are empowered to focus on the highest-value work. Domain agents across Workforce Management (WFM), Payroll, Core HR, and Benefits generate source-grounded configuration, tests, and data migrations. Human experts stay in the loop throughout, and their judgment remains crucial to how every customer goes live.

This is a real product with a validated design and a clear path to reshape a market where implementation is one of the largest and least-disrupted spaces in enterprise software.

As a Staff Developer, you will:

  • Set the technical direction for the Intelligent Implementation Workspace and its agentic architecture.
  • Design the orchestration, agent, and platform layers that turn customer intent into generated, verified configuration, tests, and data migration with human-in-the-loop control throughout.
  • Build production-ready agentic systems, including agent orchestration across multiple domain agents, harness engineering, and evaluation infrastructure that ensures model output is grounded, auditable, and production-ready.
  • Own the quality bar for agent output by designing evaluation frameworks and measurements that track accuracy, straight-through processing, override rates, and regressions.
  • Lead by delivering solutions where technical risk is highest and establish engineering standards through architecture, design, and code reviews.
  • Act as a force multiplier by leveraging modern AI tools to accelerate design, coding, testing, debugging, and engineering practices across the team.
  • Drive technical decisions that span services and teams while partnering with Product, Design, Machine Learning, Platform, and product engineering teams across Workforce Management, Payroll, Core HR, and Benefits.
  • Own the reliability and production readiness of your solutions, including observability, logging, monitoring, troubleshooting, and continuous improvement.
  • Bring strong product judgment and make thoughtful technical trade-offs throughout delivery.

Qualifications

  • Demonstrated experience building production agentic systems and architectures, including agent orchestration, evaluation frameworks (evals), and harness engineering.
  • Demonstrated ability to leverage AI to improve execution for yourself and your team, with measurable outcomes such as reduced cycle time or faster delivery.
  • Strong, recent hands-on experience building production software, preferably using C# and .NET.
  • Strong backend development experience with front-end capability; experience with React, TypeScript, or similar frameworks is an asset.
  • Proven experience designing and delivering reliable, maintainable distributed systems.
  • Ability to define ambiguous system-level problems and drive complex technical decisions with significant business impact.
  • Strong product mindset and technical judgment with the ability to balance outcomes and trade-offs.
  • Ownership mentality with the ability to lead initiatives from concept through delivery.
  • Experience with observability, monitoring, logging, troubleshooting, and production readiness.
  • Excellent communication and collaboration skills with both technical and non-technical stakeholders.

Benefits

  • Medical, dental, vision, and life insurance.
  • 401k plan (plus match).
  • Global Employee Stock Purchase Plan.
  • Unlimited Time Away From Work (in lieu of accrued vacation time).
  • 10 paid US holidays.
  • Up to 80 hours of paid sick time.
  • 17 weeks of paid parental leave, subject to the terms of the applicable policy or program.
  • Opportunities for community impact, including volunteer days and our charity, Dayforce Cares.
Vacancy posted 3 days ago
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