Software Developer Sr (AI Platform & Applications)

About the opportunity
We are looking for a Senior Software Developer to join the team building AI-powered capabilities within the Dayforce platform. This role is ideal for an experienced software engineer who enjoys designing, building, and shipping production-quality applications using modern development frameworks, cloud technologies, and AI-assisted engineering practices.
This is a high-impact opportunity to help shape how millions of users across 150+ countries interact with Dayforce. You will work across the full software development lifecycle—including architecture, design, prototyping, implementation, testing, release, and production operations—while partnering closely with product managers, architects, and engineering teams to deliver scalable, reliable, and innovative solutions.
What you’ll get to do
Design and Build Scalable Software

Design, develop, and maintain high-quality, scalable software solutions and services.
Build and evolve microservices and APIs that support AI-powered product capabilities and core platform functionality.
Contribute to the design and implementation of modern distributed systems with a focus on scalability, performance, reliability, and maintainability.
Participate in architecture discussions and help shape the technical direction of new and existing services.
Build robust testing, validation, monitoring, and observability into production systems.
Improve system performance through profiling, optimization, and continuous refinement.
Automate releases, deployments, integrations, and operational workflows.
Own critical areas of the codebase while contributing to shared engineering libraries and reusable components.

AI-Accelerated Engineering
AI-assisted development is an important part of this role. You will leverage modern AI development tools to improve engineering productivity while maintaining high standards for quality, security, and maintainability.
Examples include:

AI-assisted code generation with thoughtful engineering review.
Automated test generation and regression testing.
Accelerated refactoring and modernization.
AI-assisted debugging, log analysis, and root cause investigation.
Documentation, code migration, and engineering workflow automation.
Responsible AI usage with strong security, privacy, and review practices.

Product Partnership and Engineering Excellence

Collaborate with product managers, architects, designers, and engineers to deliver customer-focused solutions.
Translate business requirements into well-designed technical solutions.