Key skills
Distributed systemsLarge language models (LLMs) integrationBackend development - TypeScriptBackend development - C#Backend development - GoRESTful APIsEvent-driven APIsKubernetesSecure service designAuthentication patternsObservability - loggingObservability - metricsObservability - tracingTypeScriptC#CGoAILarge Language ModelsRESTful
About this role
Dayforce is a global human capital management company headquartered in Toronto and Minneapolis. They are seeking a Senior Software Developer to design and build core services for a next-generation Agent Platform that powers intelligent automation and AI-driven workflows.
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