Provide the best possible experience on our site Collect statistics to optimize site functionality Principal Software Development Engineer, MLOps page is loaded Principal Software Development Engineer, MLOps Apply remote type Flex locations Canada, ON, Toronto time type Full Time posted on Posted 3 Days Ago job requisition id JR-0087097 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. That's why we look after our people, communities and the planet while still being profitable. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? 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 and our focus is on the application of ML and statistical analysis to Workday's products to serve our end users. We use diverse datasets to build data-driven products, which help the world's largest organizations uncover insights and make strategic decisions about their people, finances, and business. Are you prepared to work on data with high velocity, volume and variety, and employ a modern machine learning distributed computing and big data software stack to address these challenges? Actively engage with data scientists, ML engineers, product managers and other architects across teams in requirements elaboration and drive technical solutions Design and build solutions for efficient organization, storage and retrieval of data to enable meaningful scale Develop and maintain monitoring and alerting systems for proactively identifying and addressing issues within the AI/ML infrastructure 6 or more years of validated proven experience in DevOps or programming experience preferably in Python, Java or Scala with a Bachelor's and/or Master's degree, preferably in CS, or equivalent experience ~ Design, implement, and maintain robust DevOps pipelines for deploying, monitoring, and scaling machine learning development and data engineering ~ Keep abreast of industry trends and new technologies, providing recommendations for continuous improvement of our DevOps and machine learning practices ~ Collaborate with other Machine Learning teams to improve not just the product, but efficiencies in engineering processes ~ Optimize public cloud-based infrastructure (AWS, Azure, or GCP) to support the computational requirements of machine learning workloads ~ Implement and coordinate CI/CD workflows to automate testing, integration, and delivery of ML components ~ Ensure the security and compliance of ML platforms, implementing standard processes for encryption, data protection and access controls ~ Experience in managing relevant tools like Databricks and Sagemaker to perform efficient computation and management of large scale data lakes ~ Experience with data and/or ML systems with ability to think across layers of the stack Workday Pay Transparency Statement Workday pay ranges vary based on work location. As a 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. For more information regarding Workday's comprehensive benefits, please click here . 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. 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. If so, ask your connection at Workday about our Employee Referral process! Principal Software Engineer - MLOps remote type Flex locations 4 Locations time type Full Time posted on Posted 4 Days Ago Join our talent community and receive the latest Workday news, content, and be first in line for new job opportunities. Want Information about Workday Benefits? If so, ask your connection at Workday about our Employee Referral process! Are you interested in contract opportunities at Workday? 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. About Workday At Workday, our employees have always been our number one Core Value. Our commitment to value inclusion, belonging, and equity (VIBE) and creating a brighter workday for all is the cornerstone of all we do. Workday is a leading provider of enterprise cloud applications for finance and human resources. Founded in 2005, Workday delivers financial management, human capital management, and analytics applications designed for the world's largest companies, educational institutions, and government agencies. Organizations ranging from medium-sized businesses to Fortune 50 enterprises have selected Workday. Workday is proud to be an equal opportunity workplace. Individuals seeking employment at Workday are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. Further, pursuant to applicable local ordinances, Workday will consider for employment qualified applicants with arrest and conviction records. Workday is committed to providing reasonable accommodations for qualified individuals with disabilities, disabled veterans, and others during our application process. If you need assistance or an accommodation due to a disability or for religious reasons, contact us at accommodations@workday.