Job Description

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\xe2\x80\x99s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don\xe2\x80\x99t 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 We\'re working on making machine learning core to Workday\'s products by building data products and auto-ml models that can be scaled out to hundreds of use cases within Workday. As part of a global, high-growth technology company, our work supports thousands of the largest global companies and more than 30 million end users. You will solve complex problems and influence machine learning and application development across Workday. Our team is passionate about teaching and learning, so be eager to share your expertise and learn from us. Join us as we change the way millions of people work.

About the Role

We\'re developing a new user behavior metrics pipeline designed to be applied across a wide range of applications within Workday. We need a Senior Software Development Engineer to help us develop these systems, make them production-ready, support their operation, and maintain their infrastructure as we deploy them. In this role you will help design and maintain a system that can scale up to our largest use-cases, all without breaking a sweat.

Key Responsibilities:

Design and build data pipelines that collect and interpret implicit user feedback from ML features in production

Transform noisy data into valuable information that drives continuous improvement of our ML features

Bring operations best-practices from within and outside the organization, and influence workflow and technology choices across the team.

Demonstrate consistency & reliability. Serve as a technical role model for more junior engineers.

Provide and receive PR feedback that helps you and your colleagues improve their practice and learn from each other.

Contribute to design documents for new system components and enhancements to existing components

Develop relationships with software engineers, DevOps engineers, and product managers across our organization

About You

In addition to showing operational excellence required to help meet our SLAs, you must have a mentality of continuous improvement, passion for quality, scale, and security. You must be curious and prepared to question or challenge choices and practices where they don\'t make sense to you or could be improved. A strong sense of ownership and collaboration are key to succeed.

Basic Qualifications:

Bachelor\xe2\x80\x99s degree in engineering, computer science, physics, math or equivalent

5 or more years of industry software engineering experience with exposure to data engineering

5 or more years of expertise with Python and SQL

3 or more years of validated experience developing, deploying, and supporting high performance systems in production

Other Qualifications

Demonstrable experience with industry tools used to build scalable machine learning systems, such as AWS, Elasticsearch/Open Search, Kubernetes, and Spark

Experience with airflow or similar python-based DAG orchestration tools

An ability to balance a sense of urgency with shipping high quality and pragmatic solutions

Ability to teach and learn from your teammates.

#LI-CG4

As a federal contractor, Workday is requiring all new hires to verify that they are fully-vaccinated against COVID-19 within 72 hours of beginning employment with Workday, consistent with applicable law. Workday is an equal opportunity employer. Candidates who are not vaccinated due to a sincerely held religious belief, medical reasons, or other legally-protected reason should contact to explore what, if any, reasonable accommodations or exemptions Workday is able to offer.

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.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

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