1 day ago
Vancouver, CanadaStaff+
Responsibilities
- Build and deliver full-stack features powering AI agents in HR and Financial workflows.
- Own services and user experiences from development through production operation.
- Design and ship scalable, reliable systems integrated with AI-driven capabilities.
- Collaborate with machine learning engineers, product managers, and platform teams in a cross-functional pod.
- Share knowledge, mentor teammates, and help raise the technical bar.
Requirements
- 10+ years of software engineering experience.
- 5+ years of experience with a web development framework, with Python and Flask, Django, or FastAPI preferred.
- 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.
- Knowledge of software development best practices, including DevOps, CI/CD, automated testing, and observability.
- Hands-on experience with Docker and Kubernetes.
- Familiarity with Elasticsearch.
- Java and TypeScript experience is a plus.
- Experience working in fast-paced, agile, cross-functional environments and strong communication and problem-solving skills are expected.
Benefits
- Flexible work with at least 50% of each quarter spent in the office or in the field with customers, prospects, or partners.
- The role may be eligible for the Workday Bonus Plan or a role-specific bonus and annual refresh stock grants.
- Workday provides reasonable accommodations and equal employment opportunities.
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.