1 day ago
Base Salary
$124k - $222k/yr
Responsibilities
- Build and deliver full-stack features that power AI agent security.
- Design and ship front-end experiences and backend services for agent trust and inspection.
- Own services and user experiences from development through production operation.
- Collaborate with machine learning engineers, product managers, security partners, and platform teams.
- Share knowledge, mentor teammates, and raise the technical bar across the pod.
Requirements
- 5+ years of software engineering experience.
- 2+ years writing performant backend services using Java/Spring Boot, Go, Python, or another modern object-oriented language.
- 2+ years of React and TypeScript experience for front-end or full-stack development.
- 2+ years deploying applications on public cloud platforms or Kubernetes.
- Bachelor’s degree in a computer-related field or equivalent work experience.
- Experience building and operating products in cloud environments, with AWS preferred and GCP or Azure also relevant.
- Familiarity with agentic coding tools such as Claude Code or Cursor.
- Familiarity with cryptographic libraries for digital signatures and attestation verification.
- Hands-on experience with Docker and Kubernetes.
- Knowledge of DevOps, CI/CD, automated testing, and observability practices.
- Experience working in fast-paced, agile, cross-functional environments and strong communication skills.
Benefits
- Flexible work arrangement requiring at least 50% of each quarter in the office or in the field with customers, prospects, and partners.
- Role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus and annual refresh stock grants.
- Application deadline is September 18, 2026.
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.