Senior IT Automation Engineer II (AI Native)

Life360 is a company focused on keeping people close to their loved ones through innovative technology. The Senior IT Automation Engineer II will be responsible for automating processes across the SaaS, identity, and infrastructure stack, leveraging AI and low-code solutions to enhance IT operations.

Responsibilities:

• Design, build, and maintain SOX control automation that reduces manual work for IT and control owners, partnering with Compliance to define time-based and event-based triggers that keep controls executing correctly and on schedule
• Build API-driven integrations across our SaaS and infrastructure stack — Okta, Google Workspace, GitHub, AWS, and Atlassian — using Tray, Terraform, GAM, and codeless tooling where appropriate
• Extend our RBAC and access governance tooling, with a focus on automated provisioning, deprovisioning, and entitlement reviews
• Develop AI- and agent-based workflows that go beyond traditional scripting — building, evaluating, and operating LLM-powered agents (e.g., MCP servers, Claude Code sub-agents) for IT operations, monitoring, and remediation
• Extend existing workflow systems (Jira, GitHub, AWS) with automation touchpoints to eliminate manual handoffs, and recommend improvements to automations as they age
• Operate across the trinity of Tray, code (AWS Lambda), and AI — using judgment to graduate stable, low-touch workflows from low-code to code-first homes when the cost-benefit shifts, with AI as the leverage that makes the migration cheap
• Develop automated monitoring to detect and proactively self-remediate issues, and serve as a senior escalation point for the IT Operations team
• Maintain clear, current documentation for automation processes, agent behaviors, and integration patterns; mentor teammates on building scalable, observable automation
• Participate in on-call rotations

Requirements:

• Demonstrated experience designing and operating production automation across enterprise SaaS, with deep working knowledge of Okta, Google Workspace, GitHub, AWS, and Atlassian administration and integration
• Deep understanding of REST APIs, authentication patterns (OAuth, SAML, OIDC, SCIM), and integration tooling such as Postman, Tray, Zapier, GAM, and Terraform
• Working knowledge of programming concepts in at least one scripting language (Python, JavaScript, Go, Groovy, etc.) — comfortable describing a solution in pseudocode before implementation
• Hands-on experience implementing role-based access control (RBAC) and supporting SOX or equivalent compliance control automation
• Comfortable working with IaC frameworks (i.e. Terraform)
• Daily use of AI as a leverage tool in your engineering practice (e.g., Claude, ChatGPT, Copilot — generating code, debugging integrations, drafting docs), with the curiosity and capability to evolve toward agentic operating methods (MCP, Claude Code, AI sub-agents, autonomous workflows) as the team matures
• Clear written communication and the ability to produce training materials and standalone documentation that other engineers can pick up and run with
• Comfort taking over existing low-code automation work — able to read, troubleshoot, and safely modify workflows you didn't author. Tray experience is a strong plus; equally welcomed: demonstrated ability to ramp on a new low-code platform fast (e.g., a Workato or Zapier expert who can pick up Tray within weeks)
• Highly Preferred: Tray, Airtable, Groovy/ScriptRunner, and/or experience building MCP servers or AI agents in production