Principal or Sr. Principal Software Engineer - Machine Learning Data Engineering

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.

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. Our focus is on the application of machine learning 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. We routinely work on data with high velocity, volume and variety, and we employ a modern machine learning distributed computing and big data software stack to deal with these challenges.

At Workday, we truly care about our people, that’s why we rank as the top 5 best places to work. To learn more about Workday ML, check out this video:
https://bit.ly/34efgyg

About the team:
This is an opportunity to be part of a growth team focused on building ML capabilities into our products, and 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 developer 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 developers to deliver critically important infrastructure and software frameworks that enable machine learning across Workday’s product ecosystem. You will apply modern software and data engineering stacks to enable training, deployment, and lifecycle management of a variety of ML models; supervised and unsupervised, deep learning and classical. You will be responsible for the design & development of new APIs/microservices and deploy them using docker/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
• Effectively engage with data scientists, ML engineers, PMs and architects in requirements elaboration and drive technical solutions
• Own and develop features from end to end including infrastructure as code. 
• Design and build solutions for efficient organization, storage and retrieval of data to enable substantial scale
• Develop testing strategies (unit/functional/end-to-end) & design automation frameworks for robust & efficient development/deployment
• 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 Principal

• 6 or more years of validated industry experience 
• Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience
• Experience in developing applications using microservices or service oriented architectures.
• 6 or more years of programming experience preferably in Python, Java or Scala
• Proven experience designing and deploying end-to-end systems 
• Experience in building, deploying and monitoring services on public cloud (like AWS, GCP or Azure)
• Experience in supporting your work in production
• Design and development of stream/event-processing architectures using technologies such a