22 hours ago
Base Salary
$103k - $184k/yr
Responsibilities
- Develop and deploy software solutions for Workday applications.
- Build search and machine-learning-based predictive data features.
- Implement efficient, clean code using algorithmic thinking and object-oriented design principles.
- Develop APIs, including RESTful services.
- Write unit and integration tests.
- Use source control management tools and standard branching strategies.
- Collaborate effectively within an agile engineering team and produce clear technical documentation.
Requirements
- At least 2 years of software development engineering experience, including contributing to software development and deployment.
- At least 2 years of experience with Java and/or Scala.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Understanding of algorithmic thinking, API development, code testing, unit and integration testing, and object-oriented design.
- Hands-on experience with source control management tools such as Git.
- Strong collaboration, communication, and technical documentation skills.
- Must be a naturalized or native United States citizen due to federal government security requirements.
Benefits
- Annualized base salary for the Atlanta primary location of $108,000-$162,000 USD.
- Flexible work arrangement requiring at least 50% of time each quarter in the office or field.
- Eligibility for the Workday Bonus Plan or role-specific bonus and annual refresh stock grants may apply.
- Workday provides comprehensive benefits, reasonable accommodations, and equal employment opportunity.
About Workday
Workday builds cloud-based enterprise applications for human capital management and financial management, including payroll, time tracking, expenses, planning, and procurement, sold on a subscription basis with professional services. Founded in 2005 and headquartered in Pleasanton, California, it is a public company traded on NASDAQ as WDAY. Organizations worldwide use Workday to unify HR and finance data, automate processes, and apply AI to workforce and financial operations.