Dayforce is a global HCM platform offering a comprehensive array of services encompassing payroll, HR, benefits, workforce management, talent, and analytics. With the mission of "m
Senior Software Developer – AI Platform Engineering
Location
United States
Posted
22 hours ago
Salary
$95.1K - $169.8K / year
Seniority
Senior
Job Description
Senior Software Developer – AI Platform Engineering
Dayforce
Role Description 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 Qualifications - 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 - 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 Benefits - Excellent time away from work programs - Comprehensive wellness initiatives - Recognition through competitive pay and benefits - Opportunities for personal and professional growth - Community impact initiatives, including volunteer days and charity support
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