Lead Developer - AI Platform Engineering

Dayforce

About The Position

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 Lead Developer to drive the design, implementation, and technical direction of the foundational infrastructure enabling secure, scalable, and observable AI agent execution across Dayforce systems. This role partners closely with the Agent Platform Technical Lead and AI Platform Development Leader and serves as a senior technical driver within the team. The ideal candidate brings deep distributed systems expertise, strong architectural judgment, and experience leading complex engineering initiatives in production-scale environments.

Requirements

8+ years of experience building and operating distributed systems in production environments
Strong backend engineering expertise (TypeScript, C#, Go, Java, or similar)
Experience integrating large language models (LLMs) into production systems
Proven experience designing APIs, service contracts, and scalable microservices architectures
Hands-on experience with containerized and cloud-native infrastructure (e.g., Kubernetes)
Strong understanding of authentication, authorization, and secure system design
Experience implementing production-grade observability (logging, metrics, tracing)
Demonstrated ability to lead complex technical initiatives with high autonomy
Experience working with globally distributed teams and leading through asynchronous communication.

Nice To Haves

Background in workflow orchestration, event-driven architectures, or DAG-based systems
Experience building internal developer platforms or reusable infrastructure services
Familiarity with execution isolation, sandboxing, or worker-based architectures
Experience influencing architectural standards across multiple engineering teams

Responsibilities

Lead the design and implementation of core Agent Platform components, including execution orchestration and tool invocation frameworks
Drive architectural decisions impacting cross-product AI integration
Establish and uphold reliability, observability, scalability, and performance standards
Define best practices for secure agent execution and service-to-service communication
Build secure, scalable backend services enabling AI-driven workflows
Design APIs and service contracts supporting extensible platform capabilities
Implement authentication, authorization, and secure system design patterns
Contribute to infrastructure design leveraging containerized environments (e.g., Kubernetes)
Collaborate with multiple engineering teams to enable adoption of Agent Platform capabilities
Identify architectural risks and proactively drive mitigation strategies
Mentor and guide engineers integrating with or extending the platform
Raise engineering standards through code quality, design rigor, and documentation

Benefits

Dayforce is fueled by the diversity of our talented employees. We are an equal opportunity employer and consider and embrace ALL individuals and what makes them unique.
We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment.
We encourage individuals to apply based on their passions.
Dayforce encourages personal and professional growth. We offer excellent time away from work programs, comprehensive wellness initiatives and recognition through competitive pay and benefits.
With a commitment to community impact, including volunteer days and our charity, Dayforce Cares we provide opportunities for you to thrive both in your career and personal life. Our focus is not just on your job but on supporting you to be the best version of yourself.

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