Zscaler

Zscaler

Workday Integration Developer

Remote - Canada · Full-time

Sponsorship not specified$134k-$168kDetected 22 hours ago
AWSGCPAzureMachine LearningLLMsAgentic AIAI OrchestrationAgileRecruitingHRISZero TrustLeadershipCollaborationPublic Speaking

About the role

  • Here, impact in your role matters more than title and trust is built on results.
  • We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats.
  • We believe in transparency and value constructive, honest debate -we're focused on getting to the best ideas, faster.

Responsibilities

  • At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with.
  • We strive to create a workplace where employees are treated with respect and have the chance to succeed.
  • You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
  • You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate.
  • Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
  • Proven ability to lead agile teams, manage vendor relationships, and thrive in a rapidly evolving, high-growth environment
  • Demonstrated ability to build business cases, justify investments, and measure ROI of P&C technology solutions
  • Experience developing custom Workday Extend applications integrated with proprietary or open-source LLMs to streamline talent orchestration and employee lifecycle events

Compensation

  • $134,400 - $168,000 USD
  • Zscaler complies with all applicable federal, state, and local pay transparency rules.

Benefits

  • Various health plans

This listing is sourced directly from Zscaler's careers page and normalized into a canonical job model.