Senior IT Automation Engineer

The Senior IT Automation Engineer will lead the development of enterprise automation and AI-driven workflows that improve operational efficiency, employee experience, and business scalability.
In this role, you will shape the strategy and operating model for an Automation and Agentic AI Center of Excellence, establishing standards that support secure, reliable, and repeatable solutions.
You will own enterprise automation platforms and integrations, connecting business systems while maintaining strong security, governance, and performance practices.
Working across IT, engineering, and business teams, you will identify operational bottlenecks and transform manual processes into scalable, intelligent workflows.
You will leverage tools such as Claude, Glean, and Zapier to introduce practical AI capabilities that enhance productivity while preserving human judgment and accountability.
The role combines hands-on technical expertise with strategic planning, enabling you to influence automation priorities and guide initiatives from concept through adoption.
This is an opportunity to make a measurable impact in a remote-first, fast-moving technology environment focused on innovation, collaboration, and continuous improvement.

• At least 7 years of experience in automation engineering, systems integration, or a comparable technical leadership role, including experience working with or closely alongside IT teams.

• Demonstrated experience defining automation strategies, translating organizational objectives into practical roadmaps, and guiding initiatives from initial concept through implementation and adoption.

• Hands-on expertise with enterprise workflow automation platforms, API-based integrations, and connected business systems.

• Experience with Microsoft technologies such as Azure, Microsoft Entra, and Intune.

• Proficiency in Python or JavaScript/TypeScript scripting, along with version control and structured software delivery practices.

• Strong understanding of SaaS security, identity and access management, credential protection, privacy-aware data handling, and risk assessment for third-party tools and integrations.

• Experience designing secure, scalable, modular automation workflows that are maintainable and reusable across teams.

• Ability to analyze root causes, evaluate when automation is appropriate, and determine where standardization delivers the greatest operational value.

• Demonstrated ability to build practical solutions that balance efficiency, security, reliability, and business needs.

• Experience applying AI tools to redesign operational workflows and create reusable systems that support meaningful automation while retaining human judgment and oversight.

• Strong communication and stakeholder management skills, including the ability to explain technical trade-offs and recommendations clearly to engineers, business partners, and executive stakeholders.

• Strategic thinking, sound technical judgment, and the ability to turn complex operational challenges into actionable solutions.

• A proactive, continuous-improvement mindset, with the ability to take ownership, experiment with new approaches, and deliver measurable outcomes in a fast-paced environment.

• Familiarity with AI-powered productivity platforms such as Claude and Glean, as well as automation tools such as Zapier, is highly relevant.