Intermediate or Senior MLOps Engineer - US Federal

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. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why 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. You can feel the energy and the passion, it's what makes us unique. 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

This is an opportunity to be part of a growth team focused on MLOps. We build ML capabilities into our products, and you would be building part of the next generation of Workday technology. We believe predictive products can be as ground-breaking to the next generation of technology as mobile was to the last.


As a Software Engineer you will help develop ML powered features and experiences for every user across our HR & Talent product portfolio. You will work closely with ML engineers and other software teams to deliver critically important infrastructure and software frameworks that enable machine learning across Workday’s product ecosystem. You will apply modern MLOps, CloudOps, and data engineering stacks to enable development, training, deployment, and lifecycle management of a variety of ML capabilities; supervised and unsupervised, deep learning and classical. You will be responsible for the design & development of new APIs/microservices and deploy them using Python, Terraform and Kubernetes at scale.

You will use Workday’s vast computing resources on rich, exclusive datasets to deliver value that transforms the way our end-users experience WD. We will challenge you to apply your best creative thinking, analysis, problem-solving, and technical abilities to make an impact on thousands of enterprises and millions of people.

About the Role

In this role, you would:

• Work with multi-functional teams to deliver scalable, secure and reliable solutions.

• Building MLOps platform primarily using Kubeflow, and other ML ecosystem tools and services for a unified ML Development experience.

• Successfully communicate with data scientists, ML engineers, PMs and architects in requirements elaboration and drive technical solutions.

• Own and develop cloud based services from end to end including infrastructure as code.

• Design and build software solutions for efficient organization, storage and retrieval of data to enable substantial scale.

• Understanding cloud computing and security to build robust cloud infrastructure and solutions for ML teams.

• Build systems and dashboards to monitor service & ML health.

• Lead in architecture reviews, code reviews and technology evaluation.

• Research, evaluate, prototype and drive adoption of new ML tools with reliability and scale in mind.

About You

Basic Qualifications for Software Engineer

• 5 or more years of proven industry experience.

• Bachelor’s and/or Master’s degree in Computer Science or Computer Engineering.

• Design, implement, and maintain robust MLOps services for deploying, monitoring, and scaling machine learning development and data engineering primarily with Kubeflow.

• Stay abreast of industry trends and emerging technologies, providing recommendations for continuous improvement of our DevOps and machine learning practices.