AI Security & Automation Engineer

About Iru

Iru is the AI-powered security & IT platform used by the world's fastest-growing companies to secure their users, apps, and devices. Built for the AI era, Iru unifies identity & access, endpoint security & management, and compliance automation-collapsing the stack and giving IT & security time and control back.

Iru is backed by some of the smartest investors in tech-General Catalyst, Tiger Global, Felicis, Greycroft, and First Round Capital. In July 2024, Iru raised $100 million from General Catalyst, valuing the company at $850 million. Customers include Notion, Cursor, Lovable, Replit, and Mercor, and Iru partners with industry leaders such as Service Now and AWS. Iru was named to Forbes' America's Best Startup Employers 2025 list for employee engagement and satisfaction.

The Opportunity:

IRU is seeking an innovative and highly technical AI Security & Automation Engineer to help shape the future of security operations, AI governance, and enterprise automation.

This role sits at the intersection of Artificial Intelligence, Security Engineering, Cloud Operations, and Automation. The successful candidate will be responsible for securing AI technologies, implementing AI governance controls, automating security and operational workflows, and enabling the safe adoption of AI across the organization.

As AI becomes increasingly integrated into business operations and product development, this role will play a critical part in ensuring AI is deployed securely, responsibly, and at scale while improving operational efficiency through intelligent automation.

How You'll Make a Difference Day to Day:

AI Security & Governance

* Implement and operationalize AI security and governance frameworks.

* Evaluate and manage risks associated with AI platforms, models, agents, and third-party AI services.

* Conduct AI-specific security assessments and risk evaluations.

* Develop controls for secure AI adoption across the organization.

* Monitor and identify unauthorized or unsanctioned AI usage (Shadow AI).

* Establish processes for AI inventory, governance, and risk monitoring.

* Secure AI integrations, APIs, connectors, plugins, and external service endpoints.

* Partner with legal, compliance, privacy, and security teams to ensure responsible AI implementation.

* Support AI policy development and enforcement initiatives.

AI Telemetry & Monitoring

* Design and maintain AI logging, monitoring, and telemetry capabilities.

* Develop visibility into AI usage, prompts, model interactions, and data flows.

* Create dashboards and reporting mechanisms for AI governance and security oversight.

* Enhance detection capabilities for AI-related threats, misuse, and anomalous activity.

* Integrate AI telemetry into security operations workflows and threat detection platforms.

Operational Automation

* Design, build, and maintain security and operational automation workflows.

* Develop and optimize Tines automation stories and playbooks.

* Automate repetitive IT and security processes to improve efficiency and consistency.

* Streamline ticketing, escalation, and workflow management processes.

* Build automated remediation and response capabilities.

* Enhance identity and access management operations through automation.

* Leverage AI capabilities to improve operational effectiveness and user productivity.

Security Engineering & Integration

* Develop custom scripts, integrations, and automation tools to support security operations.

* Coordinate API integrations across security, cloud, identity, and operational platforms.

* Implement cloud-native automation and orchestration capabilities.

* Enrich security telemetry and threat detection data from multiple sources.

* Design and maintain scalable security workflows across the enterprise.

* Partner with Security Operations, Cloud Engineering, and IT teams to improve operational resilience.

Minimum Qualifications:

* 5+ years of experience in Security Engineering, Security Operations, Cloud Security, Dev Sec Ops , Automation Engineering, or related disciplines.

* Strong understanding of modern AI technologies, large language models (LLMs), AI agents, and AI-enabled business applications.

* Experience implementing…