Senior Software Developer – AI Platform Engineering
*Due to security and compliance requirements, applicants must be either a U.S. Citizen or a current U.S. Green Card holder.*
About the opportunity
Dayforce is building a next-generation Agent Platform to power intelligent automation, AI-driven workflows, and tool-enabled execution across our product ecosystem.
We are seeking a Senior Software Developer to design and build core services that enable secure, scalable, and observable AI agent execution. This role focuses on deep technical implementation, platform reliability, and enabling other engineering teams to successfully integrate with Agent Platform capabilities.
The ideal candidate is a strong hands-on engineer who thrives in distributed systems environments and enjoys solving complex backend and infrastructure challenges.
What You’ll Do
Core Engineering
Design and implement production-grade backend services supporting AI-driven workflows
Contribute to execution orchestration, task routing, and tool invocation systems
Develop APIs and service contracts that are stable, extensible, and well-documented
Implement robust authentication, authorization, and secure execution patterns
Reliability & Observability
Build systems with strong logging, metrics, and tracing from the ground up
Improve system resilience, fault tolerance, and performance
Participate in production readiness, monitoring, and incident response processes
Platform Enablement
Collaborate with product and engineering teams integrating with the Agent Platform
Provide technical guidance on best practices and integration patterns
Contribute to reusable infrastructure components and developer tooling
Skills and experience we value
5–8+ years of experience building and operating distributed systems in production
Experience integrating large language models (LLMs) into applications or services
Strong backend development experience (TypeScript, C#, Go or similar)
Experience designing RESTful or event-driven APIs
Hands-on experience with containerized infrastructure (e.g., Kubernetes)
Strong understanding of secure service design and authentication patterns
Experience implementing observability practices (logging, metrics, tracing)
Demonstrated ownership of features from design through production
What would make you really stand out
Exposure to workflow orchestration, event-driven systems, or asynchronous processing
Familiarity with worker-based architectures or execution isolation models
Experience contributing to internal platforms or shared infrastructure services
Experience optimizing system performance and debugging distributed systems
Experience working with globally distributed teams
Success Profile
The ideal candidate:
Is highly hands-on and comfortable working deep in the stack
Writes clean, maintainable, well-tested code
Thinks critically about system reliability and performance
Collaborates effectively across teams
Seeks to continuously improve platform quality and engineering standards