Senior IT Automation Engineer II (AI Native)

Life360 is a company focused on keeping people connected through innovative technology. They are seeking a Senior IT Automation Engineer II to enhance their IT operations by automating processes and integrating various systems, while also leveraging AI-driven solutions.

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)
• Tray, Airtable, Groovy/ScriptRunner, and/or experience building MCP servers or AI agents in production