Principal Software Development Engineer, Workday
For Machine Learning
CA$156.8-235.2k
More information about location
Enterprise AI platform for managing HR, finance & IT
Job no longer available
Enterprise AI platform for managing HR, finance & IT
1001+ employees
Job no longer available
CA$156.8-235.2k
More information about location
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- Bachelor's degree in Computer Science, Engineering, or a related technical field
- 8 or more years of experience in production-level Software Development
- 4 or more years of experience in Python, with a consistent track record of shipping production code and systems
- 4 or more years of experience building scalable data pipelines and working with large-scale datasets
- 4 or more years of validated experience deploying production services to cloud platforms (e.g., AWS, Azure, GCP) and using containerization technologies (e.g., Docker, Kubernetes) for MLOps
- MS/PhD degree in a relevant field, such as Computer Science or Engineering
- Deep technical expertise in the engineering, deployment, and MLOps of advanced machine learning solutions (e.g., generative models, LLMs, RAG, and AI agents), coupled with a strong understanding of scalable distributed systems, performance optimization, database technologies (e.g., PostgreSQL, Redis), and robust API development
- Validated algorithmic thinking and a tracproven historydesigning, implementing, and analyzing efficient algorithms for complex problems
- Demonstrated ability to build flexible, reusable, and well-documented software components, with comprehensive experience in code testing strategies (unit, integration, end-to-end) in a continuous deployment environment. Strong sense of ownership and a proven ability to deliver high-quality, finished products efficiently
- Excellent communication and collaboration skills, emphasizing team collaboration, knowledge-sharing, and delivering customer impact
What the job involves
- 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 builds sophisticated ML 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!
- As a Principal Software Development Engineer for Machine Learning, you will be a pivotal technical contributor, working closely with machine learning engineers to architect, build, and deploy robust, scalable, and performant AI systems across Workday's product ecosystem
- You will play a key role in transforming innovative ML research into production-ready solutions, primarily agentic AI capabilities encompassing planning, reasoning, and action execution frameworks
- Drive Architectural Design and Implementation: Own the architectural design and implementation of sophisticated AI systems and agentic AI capabilities, with a focus on advanced patterns such as tool calling, supervisor agents, multi-agent architectures, and human-in-the-loop integration
- Ensure solutions are highly scalable, performant, and resilient in production environments, defining technical roadmaps and standard methodologies for ML system development and MLOps
- Build and Deploy Core ML Infrastructure: Architect, implement, and deploy secure, RESTful web services in Python and Kubernetes
- Design and build robust, multi-tenant runtime architectures enabling fast inference and scaling to millions of users, seamlessly integrating with existing Workday components and leveraging cloud deployment standard methodologies
- Develop and Optimize Data Pipelines: Lead the development and deployment of Python and Spark-based data pipelines for collecting, joining, transforming, and loading large-scale datasets essential for model training and inference
- Focus on efficiency, reliability, and data quality
- Technical Leadership and Mentorship: Provide technical leadership and guidance to fellow engineers, fostering a culture of engineering excellence, advocating for software development standard methodologies, and participating in design reviews and code quality initiatives
- You will also:
- Collaborate multi-functionally to translate requirements into technical designs, taking ownership of creative, high-quality solutions
- Apply and continuously advance industry-standard software engineering practices, including automation, observability, scalability, and MLOps, to deliver clean, maintainable, and testable code
Our take
Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.
The company has also grown through acquisitions and partnerships to broaden its capabilities. Most recently, in 2025 it purchases Sana, an AI-driven enterprise knowledge and learning platform, to create a "new front door for work". This acquisition allows Workday to integrate Sana's AI-powered search, agents, and learning capabilities with its own data and workflows, allowing employees to access information, automate tasks, and complete their day entirely within Workday.
Through a combination of strategic acquisitions and in-house development, Workday has built a comprehensive suite of HR, financial, and enterprise tools. By focusing on innovation and AI-driven workflows, the company continues to push productivity and decision-making for organizations worldwide. Building on this track record, Workday is very much positioned for even more growth, reinforcing its status as a leader in shaping the future of work.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2011
$85m
SERIES F
Apr 2009
$75m
SERIES E
Total funding: $215.3m
Company HQ
Pleasanton, CA
Leadership
Aneel Bhusri
(Co-Founder & CEO)Annel began their career at Morgan Stanley as a Corporate Finance Analyst. They then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005.
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