Principal Software Development Engineer for Machine Learning

Your work days are brighter here.

At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.

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About the Team

Do you want to build impactful, machine learning features and solutions that will be used by millions of end-users? The Machine Learning organization at Workday solves challenging problems that lie at the intersection of machine learning and enterprise-scale software. The team is responsible for building sophisticated machine learning solutions that power the core Workday software by modeling user behavior and providing intelligent automation. Come join us and make easier and balanced for millions of Workday users!

About the Role

In this software engineering role, you will work with machine learning engineers to build, test, and deploy agentic solutions. You will be part of a fast-paced team with a startup-like mentality. In the early stages of the project you will rapidly iterate on prototypes and proof-of-concepts, and in the later stages you will build robust, scalable solutions.

Your primary focus will be to:

• Lead technical initiatives from conception to production

• Build and deploy Python and Spark-based ETL pipelines for collecting, joining, transforming, and loading data used for model training and inference

• Build and deploy secure, restful web services in Python and Kubernetes that activate agents and invoke actions

• Design and implement a multi-tenant runtime architecture that enables fast inference, scales to millions of users, and integrates with existing Workday components

• Build React-based interactive prototypes/demos for showcasing and evaluating the agents

You will also:

• Collaborate with multi-functional teams, including MLEs, product managers, and UX designers

• Take ownership for finding creative solutions that move projects forward

• Write clean, maintainable, and testable code following standard methodologies in software engineering, including automation, observability, and scalability.

• Conduct code reviews, participate in design discussions, and engage in collaborative team activities like hackathons and knowledge-sharing sessions.

About You

Basic Qualifications:

• 8 or more years of experience with production-level Software Development

• 4 or more years of experience in Python.

• 4 or more years of experience building scalable ETL pipelines

• 4 or more years of experience deploying production services to cloud platforms (e.g., AWS, Azure, GCP) and using containerization technologies (e.g., Docker, Kubernetes).

Other Qualifications:

• Experience with full stack engineering, including front-end frameworks (e.g. React), database technologies, and API development

• Strong understanding of scalable architecture and performance optimization for web applications.

• Algorithmic Thinking and a proven track record of designing, implementing, and analyzing algorithms 

• Proven experience building flexible and reusable software components.

• Experience developing Code Testing strategies with an emphasis on understandi