Senior IT Automation Engineer - AI-Driven Ops Leader

Huntress

United States

Remote

USD 130,000 - 140,000

Full time

2 days ago

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Benefits offered by this job

100% remote work

Generous paid time off

12 weeks of paid parental leave

Medical, dental, and vision benefits

401(k) with 5% contribution

Life and Disability insurance

Stock options for all full-time

Home office stipend $500

Education and professional development

Job summary

Huntress, a remote-first cybersecurity company, is seeking a Senior IT Automation Engineer to shape how we use automation and AI to work smarter, move faster, and scale securely. You will own the strategy and operating model for our Automation and Agentic AI Center of Excellence, turning tools such as Claude, Glean, Zapier, and related platforms into practical systems that improve how teams get work done.

You embrace continuous improvement by testing what has the most leverage, learning quickly,

Qualifications

7+ years of experience in automation engineering, systems integration, or a similar technical leadership role.
Experience setting automation strategy, translating goals into roadmaps, and guiding initiatives from concept to adoption.
Knowledge of SaaS security, identity and access management, credential protection, privacy-aware data handling, and risk assessment of new integrations.
Ability to diagnose root causes, weigh automation against manual processes, and decide where standardization creates value.
Strong communication of technical trade-offs with engineers, business partners, and executives; guide teams toward maintainable solutions.
Experience re-engineering workflows with AI and using tools like Claude and Glean.

Responsibilities

Lead cross-functional initiatives that use automation to improve operational scale, employee experience, and business execution.
Own the enterprise automation and integration stack, including Zapier and connected business systems, ensuring performance, maintainability, and security alignment.
Establish and operate the Automation and Agentic AI Center of Excellence, including standards, governance, documentation, intake, and prioritization practices.
Build reusable frameworks, templates, libraries, and design patterns that help enable self service and deliver reliable solutions faster with more consistency.
Represent IT with Internal Innovation to collaborate on AI adoption, feature enablement, and governance.
Design modular, resilient integration patterns and automation pipelines with secure data handling, role-based access control, and least-privilege principles built in.
Analyze operational inefficiencies, identify high-value opportunities, and deliver data-informed recommendations and roadmaps to leadership.
Re-engineer meaningful parts of the operational layer with AI, using tools such as Claude and Glean to create reusable workflows that preserve human judgment, security, and measurable outcomes.