Summary
What you’ll impact
The Associate IT Automation Engineer owns the automation platform, designing and maintaining workflow integrations for identity, device, and SaaS systems. They use an identity provider, a productivity suite, a communication platform, the automation platform, an internal tool, and mobile device management, as well as AI agents to automate onboarding, off‑boarding, access provisioning, and data synchronization. Responsibilities include spotting automation opportunities, building and testing workflows, monitoring execution, troubleshooting via logs and generated code, and measuring reductions in manual effort and errors. The engineer collaborates with the People Technology team and system owners to plan rollouts, assess reliability and cost trade‑offs, and ensure seamless cross‑system integration.
Responsibilities
What you'll do
- Own the platform: manage its day-to-day operation, configuration and integrations. Keep workflows reliable and documented so teammates can support them and know who owns each part.
- Find work worth automating: identify and deliver opportunities independently and in partnership with your peers. Assess which are worth pursuing and take them through rollout and maintenance.
- Build workflows and integrations: use automation platforms and AI agents for onboarding and offboarding, access provisioning, SaaS administration and keeping data consistent across systems.
- Support People systems integrations: work with the People Systems team to build and test integrations between our HRIS and other business systems.
- Build AI-enabled services: help employees find information and complete approved actions. Set permissions, approval steps and fallbacks for uncertain answers or failed actions.
- Plan and deliver changes: compare approaches and explain the tradeoffs in reliability, complexity, cost and employee experience. Coordinate dependencies with system owners and use staged rollouts with appropriate recovery steps.
- Test workflows: use automated checks to catch failures and regressions, and verify results in connected systems.
- Keep workflows running: monitor outcomes and fix recurring failures. Use run histories, logs and API responses to trace problems across systems, reading generated code when it helps.
- Measure the results: track changes in manual effort, errors, delays or control gaps. Check that people can use what you've built, incorporate feedback and finish any follow-up work.
Requirements
What you’ll bring
- Practical automation experience: you’ve identified useful opportunities and built workflows or integrations that others use. You can explain their impact and how you maintain them.
- Comfortable with platforms and agents: you can translate requirements into instructions, configure integrations and adjust workflows based on results.
- Careful about testing: you know how to test a workflow and verify its effects in connected systems, using automated checks where useful.
- Sound judgment about AI output: you can assess accuracy, consistency and usefulness, and know when to investigate or ask for human review.
- Able to follow technical logic: you understand workflows and how data moves through APIs. You can read generated code when troubleshooting calls for it.
- Experience in corporate IT: you’ve worked with identity, SaaS or IT systems and understand how account, group and access changes affect employees.
- Comfortable with some ambiguity: you can plan work when requirements are unclear and coordinate with the people it depends on. You explain tradeoffs and know when a decision needs someone else’s approval.
- Accountable after launch: you’re comfortable owning a system’s day-to-day operation, resolving problems and helping others use it.