Facilities Automation Engineer

As a member of the IT Team at OnLogic, you will maintain and enhance our facilities automation and provide technical support for our core business applications. The role requires an onsite presence at our South Burlington, VT office.

• Enhancing, troubleshooting, and maintaining our global Facility Automation services and Physical Access Control System (PACS).
• Triaging and resolving incoming support requests related to our ERP, CRM, or eCommerce site as needed.
• Developing and running business reports.
• Developing knowledge of the OnLogic products and internal processes.
• Writing effective documentation and training support for systems.

• Bachelor's degree in Computer Science (or related field), or comparable job-related experience and training.
• Competency in SQL (Postgres, MySQL, SQL Server) including database and query optimization.
• Competency in Python, with a basic understanding of software best practices.
• Experience in Internet of Things protocols like MQTT, Zigbee, and BLE, preferably as used in a Home Assistant implementation.
• Experience in Facility Automation concepts, such as surveillance, energy savings, A/V, lighting, and climate control.
• Experience with Physical Access Control Systems.
• Basic understanding of CSS/HTML/XML/JSON.

• People-person and problem solver.
• Energized by digging into application issues.
• Eager learner to become an expert in core business IT systems.
• Solution-driver for both technical and non-technical end users.

• Competitive salary ($60,000-$70,000) based on experience and role requirements.
• Comprehensive benefits package.
• 401(k) plan with 3% employer contribution.
• Annual profit-share bonus.
• Paid maternity & paternity leave, and short & long-term disability.
• Opportunity to participate in our Employee Stock Purchase Plan.
• Personal development plan to grow with the team.

We are committed to providing a safe, inclusive, and harassment-free workplace for all employees. We do not tolerate any form of harassment, discrimination, or bias based on race, ethnicity, gender, sexual orientation, religion, disability, age, or any other protected characteristic.