9 days ago
Base Salary
$148k - $264k/yr
Responsibilities
- Collaborate with engineering, data science, product, and design teams to build and evolve the platform vision, strategy, and roadmap.
- Build and enhance scalable, user-centric solutions for the AI-driven contract management platform.
- Own multiple functional areas from development through production using a “you build it, you run it” model.
- Contribute to knowledge sharing, mentorship, continuous improvement, and the success of teammates.
Requirements
- At least 8 years of software engineering experience.
- At least 5 years of experience with a web development framework, with Python and Flask, Django, or FastAPI preferred.
- At least 5 years of experience with a relational database, with PostgreSQL preferred.
- Experience building and operating SaaS products in cloud environments, with AWS preferred.
- Familiarity with modern distributed-systems architecture and tradeoffs.
- Hands-on experience with Docker and Kubernetes, plus familiarity with Elasticsearch.
- Exposure to Java and TypeScript is a plus.
- Experience working in fast-paced, cross-functional environments and strong communication and problem-solving skills.
Benefits
- Flexible work arrangement with at least 50% of each quarter spent in the office or in the field with customers, prospects, or partners.
- Potential eligibility for the Workday Bonus Plan or role-specific bonus/commission and annual refresh stock grants.
- Application deadline is October 20, 2026.
- Workday provides equal employment opportunity and reasonable accommodations.
Tech Stack
Categories
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.