Design and build security products that empower the entire Workday AI organization.
Integrate security at every stage of the software development lifecycle (SDLC) and deployment pipelines.
Partner with engineering and platform teams to implement security-by-design and shift-left security practices.
Patch vulnerable dependencies.
Manage the end-to-end vulnerability management lifecycle, including discovery, assessment, prioritization, remediation, and reporting.

5+ years of experience in software engineering focused on security or building security tools.
3+ years experience with Python and Python web development framework (FastAPI, Flask, Or Django).
3+ years experience with cloud platforms (e.g., AWS, GCP) and containerization technologies (e.g., Docker, Kubernetes).
Familiarity with AI security concepts.
Experience with building AI
Proficiency in security tools (e.g., Snyk, Semgrep, Contrast, Wiz).
Familiarity with infrastructure as code (IaC) tools (e.g., Terraform, Cloudformation, Ansible).
Full-stack generalist.
Proficient in database systems (Postgres, DynamoDB, Redis, Pinecone)
Strong understanding and practical application of modern software development practices, working with DevOps, automated testing, and observability.
Understanding of network and application security threats, attack techniques, and mitigation options.
Experience with incident response.
BS or MS degree in Computer Science, Engineering, or equivalent job experience.

Software Development Engineer, Security

Key skills