Your work days are brighter here.
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.
About the Team
The Machine Learning and Data Team is central to developing cutting-edge, AI-driven features within Workday Peakon. This highly collaborative team works tightly with Product Managers, Developers, and Designers to bring sophisticated ML/AI capabilities into the product.About the Role
As a Software Development Engineer in Test, you'll be instrumental in designing, implementing, and executing comprehensive test strategies for ML models and AI-driven features, including data validation, performance benchmarking, bias detection, and ensuring the accuracy and reliability of intelligent agents.
Beyond the core MLE unit, you will collaborate closely with MLOps and Product QA. The team operates in an environment focused on product excellence and growth, requiring you to understand the broader product strategy, contribute to the software development lifecycle, and ultimately take ownership of ML projects to deliver significant business impact.
About You
Industry Experience: 8+ years of experience as an SDET (Software Development Engineer in Test), with a focus on architecting and building test automation solutions, performance testing frameworks, and CI/CD pipelines for quality assurance.
Technical Depth: 4+ years of hands-on experience utilising various programming languages (including Phyton), test automation frameworks, and performance testing tools. 1+ years of experience testing AI/ML solutions.
Education: Bachelor’s degree in a relevant discipline such as Computer Science, Engineering, or a related field, or equivalent practical experience.
Test Automation & Frameworks: Strong ability in Algorithmic Thinking to design, implement, and optimize complex Test Automation Frameworks.
ML/AI Testing Expertise: Solid experience with Automated Testing, specifically designing and executing comprehensive test strategies for ML models and AI-driven features, covering data validation, performance benchmarking, bias detection, and ensuring agent accuracy and reliability.
Programming & SDLC: Strong proficiency in Python and other relevant programming languages for test automation and tool development. Must have a solid understanding of Software Development principles and experience contributing to software projects.
DevOps & CI/CD: Strong understanding of CI/CD pipelines and proven experience integrating and optimizing automated testing within the delivery process.
Version Control: Solid experience with Source Control Management (SCM) tools and advanced branching and merging strategies.
Test Strategy & Design: Deep understanding of various Testing Strategies and Test Design principles, including the ability to create complex test cases and design comprehensive automation approaches.
Team Leadership: Proven ability to lead Team Collaboration efforts within development and testing teams and mentor junior SDETs.
Documentation & Management: Experience with Test Documentation standards and the ability to maintain comprehensive records. Good understanding of Test Management tools for planning and tracking automated testing efforts.
Our Approach to Flexible Work
With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.
Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.
In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.