The ad says“Solid understanding of data structures, algorithms, and computer science fundamentals”
The ad says“Solid understanding of data structures, algorithms, and computer science fundamentals”
The ad says“Solid understanding of data structures, algorithms, and computer science fundamentals”
The ad says“5+ years of experience designing, building, and operating highly scalable, distributed systems in production”
The ad says“8+ years of experience with at least one modern programming language (e.g., Python - preferred, Java, Go, C++, or similar)”
The ad says“8+ years of professional software development experience”
The ad says“Experience with the full software development lifecycle: design, implementation, testing, deployment, and maintenance”
Values
The ad says“Knowledge of software development best practices (DevOps, CI/CD, automated testing, observability)”
The ad says“Experience building and operating SaaS products in cloud environments (AWS preferred)”
The ad says“Knowledge of software development best practices (DevOps, CI/CD, automated testing, observability)”
The ad says“Knowledge of software development best practices (DevOps, CI/CD, automated testing, observability)”
The ad says“Hands-on experience with containerization technologies (Docker, Kubernetes)”
The ad says“Familiarity with Elasticsearch”
The ad says“Hands-on experience with containerization technologies (Docker, Kubernetes)”
The ad says“Familiarity with LLM-based application design, prompt engineering, and integrating LLMs into production systems”
The ad says“Knowledge of software development best practices (DevOps, CI/CD, automated testing, observability)”
The ad says“Familiarity with LLM-based application design, prompt engineering, and integrating LLMs into production systems”
Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day
This is production-grade AI—deeply embedded into Workday’s platform—not research experiments or maintenance work. Teams own problems end to end, collaborate tightly across disciplines, and use the right tools to solve real customer challenges at global scale
You’ll work at the intersection of AI, platform architecture, and human workflows, with the autonomy to shape how agents reason, act, and scale responsibly. High trust, high expectations, and real impact. Engineering, but brighter
We are seeking a highly skilled Senior Software Engineer to contribute to a cross-functional team building transformative AI agents for HR & Finance
This role is crucial in implementing tooling strategies, staying informed about industry trends, and ensuring our AI-driven solutions integrate effectively within the Workday stack
Your technical contributions and team-first attitude will play a key role in delivering high-impact products that scale our AI capabilities and help global organizations simplify complex business processes. If this looks exciting, give us a shout!
Collaborate with a team of engineers to deliver AI-powered agents that integrate deeply into HR and Financial workflows, accelerating intelligent decision making
Participate in a supportive, iterative team culture that values curiosity, learning, and strong engineering practices
Contribute to the growth and success of your teammates through knowledge sharing and mentorship
Take ownership of multiple functional areas in our platform — from development to production (“you build it, you run it”)
Preferred experience
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience)
8+ years of professional software development experience
8+ years of experience with at least one modern programming language (e.g., Python - preferred, Java, Go, C++, or similar)
5+ years of experience designing, building, and operating highly scalable, distributed systems in production
Committed to fostering an inclusive, team-oriented environment and contributing to a culture of continuous improvement
Experience with the full software development lifecycle: design, implementation, testing, deployment, and maintenance
Familiarity with the tradeoffs and architecture of modern distributed systems
Solid understanding of data structures, algorithms, and computer science fundamentals
Knowledge of software development best practices (DevOps, CI/CD, automated testing, observability)
Hands-on experience with containerization technologies (Docker, Kubernetes)
Experience working within fast-paced, agile environments and multi-functional teams
Experience mentoring junior engineers
Familiarity with Elasticsearch
Experience building and operating SaaS products in cloud environments (AWS preferred)
Familiarity with LLM-based application design, prompt engineering, and integrating LLMs into production systems
Strong communication skills, with the ability to collaborate with both technical and non-technical partners
Comfortable working with ambiguity and translating complex problems into clear, thoughtful solutions
