Principal Software Development Engineer for Machine Learning

About the Role

Key Responsibilities

• 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.
• 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.

Requirements

• 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).
• 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 understanding various testing methodologies.
• Strong sense of ownership and delivery of finished products.
• Excellent communication and collaboration skills, with a strong focus on team collaboration and customer impact.

Nice to Have

• 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 understanding various testing methodologies.

Qualifications

• Educational background is not explicitly specified, but extensive professional experience is required.

Benefits & Perks

• Competitive salary with base pay ranges from $179,200 to $268,800 USD in Colorado, with additional ranges for other US locations.
• Potential eligibility for Workday Bonus Plan, role-specific commission/bonus, and annual stock grants.
• Flexible work approach combining in-person and remote work, with at least 50% of time each quarter in the office or in the field.
• Comprehensive benefits in Colorado (details available via provided link).