Dayforce is a global human capital management (HCM) company seeking a Senior Software Developer to design and build core services for their AI Platform. This role focuses on deep technical implementation, platform reliability, and enabling other engineering teams to integrate with Agent Platform capabilities.
Responsibilities:
- 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
- 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
- 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
Requirements:
- 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
- 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