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. A culture driven by our value of putting our people first is central to who we are. 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. 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

Workday is the cloud-based SaaS company providing industry-leading software for HR, financials, workforce planning, and employee learning to more than 40% of the Fortune 500. We are the Machine Learning Product team at Workday, focusing on the application of machine learning and statistical analysis to Workday's products. We build data-driven products that help the world's largest organizations uncover insights and make strategic decisions about their people, finances, and business.

This is an opportunity to be part of a growth team focused on Data Engineering and ML Development Tools. As a Software Engineer III, you will help develop ML powered features for our HR & Talent product portfolio. You will work closely with ML engineers and other software teams to deliver critically important infrastructure, frameworks, tooling, and platform that enable machine learning across Workday's product ecosystem.

About the Role

• Work with multi-functional teams to deliver scalable, secure, and reliable solutions.
• Effectively engage with data scientists, software engineers, ML engineers, PMs, and architects in requirements elaboration and drive technical solutions.
• Develop features from end to end including infrastructure as code.
• Design and build developer tools that enable ML capabilities.
• Build systems and dashboards to monitor service & ML health.
• Participate in architecture reviews, code reviews, and technology evaluation.
• Help research, evaluate, prototype, and drive adoption of new ML tools with reliability and scale in mind.

About You

Basic Qualifications (REQUIRED)

• 5 or more years of software engineering experience with tools similar to Python, Java, Scala, AWS (CloudFormation, Glue, Lambda, S3, EMR, Step Functions, etc.).
• Bachelor's and/or Master's degree, preferably in CS, or equivalent experience.
• 1 or more years of experience working on initiatives related to data engineering or ML.
• 1 or more years of experience with production support on call rotations to resolve outages and other operational issues.

Other Qualifications

• Implementation and operation of distributed systems.
• Experience with Data Engineering and/or ML systems with the ability to think across layers of the stack.
• Experience with tools like Databricks, Sagemaker, & Apache Spark.

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate's compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need. For more information regarding Workday's comprehensive benefits, please click here .

Primary Location: USA.OR.Beaverton

Primary Location Base Pay Range: $128,800 USD - $193,200 USD

Additional US Location(s) Base Pay Range: $122,400 USD - $217,200 USD

If performed in Colorado, the pay range for this job is $128,800 - $193,200 USD based on min and max pay range for that role if performed in CO.

The application deadline for this role is the same as the posting end date stated as below:
03/18/2025

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).

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.