Software Application Engineer III - Payroll Core Workday
Pleasanton, CA

Job Description

Join our team and experience Workday!

It's fun to work in a company where people truly believe in what they're doing. At Workday, we're committed to bringing passion and customer focus to the business of enterprise applications. We work hard, and we're serious about what we do. But we like to have a good time, too. In fact, we run our company with that principle in mind every day: One of our core values is fun.

Job Description

Workday engineers transform requirements into working applications that ship to our customers at lightning speed. As a payroll engineer, you work closely with your product manager on country-specific features. You collaborate with your team following agile and test driven development practices. A key strength you possess is the awareness of how important your work is to our customers and to the lives of all the individuals who are paid through Workday.

For a Software Applications Engineer in Payroll, a typical day might include any of the following:

* Collaboration with Product Manager, QA, or other team members on solutions
* Technical analysis of customer reported issues
* Functional analysis of requirements to ensure successful solution
* Mapping requirements to existing class model
* Designing solutions and creating a project plan
* Coding
* Guiding other engineers through your solutions
* Conducting peer design and code reviews
* Devising and carrying out unit tests

Requirements:

* Passionate about applying ML in enterprise applications
* Experience in software development by applying ML/Deep Learning algorithms
* Interact effectively with all stakeholders and Data Scientists
* Mid to Senior or advanced level of object-oriented design and development experience using object-oriented languages
* Experience with UML, Web application development or SaaS (Software as a Service) technologies
* Experience in developing ML solution for applications in financials or accounting discipline is a plus
* Bachelor or graduate degree with ML concentration is a plus