Smart Building & Workplace Technology Engineer

We are looking for a Smart Building & Workplace Technology Engineer to design, integrate, automate, and maintain Divar's smart building and workplace technology systems.

Our infrastructure includes Crestron-based Building Management Systems (BMS), meeting room control systems, enterprise AV and video conferencing equipment, access control systems, surveillance technologies, and other connected devices.

We are looking for someone who can go beyond configuring and maintaining existing equipment. The ideal candidate can identify opportunities for automation, integrate different technologies, and develop custom software solutions when off-the-shelf products do not fully meet our needs.

We particularly value engineers who can leverage modern AI-assisted development tools, such as OpenAI Codex and Claude Code, to rapidly build useful internal tools, integrations, dashboards, and applications.

We don't expect expertise in every technology listed below. Strong engineering fundamentals, hands-on experience, problem-solving ability, and a willingness to learn are more important than familiarity with specific products.

Key Responsibilities

Smart Building & Crestron Systems

• Maintain, troubleshoot, and improve existing Crestron-based building management and automation systems.
• Configure and integrate building controllers, sensors, and connected devices.
• Develop automation scenarios for lighting, environmental controls, occupancy sensing, and other building functions.
• Troubleshoot control logic, communication issues, and hardware/software integration problems.
• Improve the reliability, monitoring, and maintainability of building automation systems.

Workplace Technology & AV

• Configure, maintain, and troubleshoot enterprise meeting room AV and video conferencing systems.
• Support Crestron room control solutions and their integration with collaboration platforms.
• Integrate meeting room technologies with room booking systems and centralized management tools.
• Develop solutions that improve meeting room reliability, usability, and automation.

Software Development & AI-Assisted Engineering

• Identify opportunities to replace manual processes with custom software and automation.
• Build internal applications, dashboards, monitoring tools, and integrations for workplace and building systems.
• Leverage AI coding assistants such as Codex, Claude Code, or similar tools to accelerate software development.
• Develop integrations using APIs, Webhooks, and relevant communication protocols.
• Create lightweight management interfaces and automation services for connected devices.
• Evaluate whether to build custom solutions or integrate existing products.
• Ensure developed solutions are secure, tested, documented, maintainable, and suitable for production use.

Systems Integration & Infrastructure

• Integrate building technologies with enterprise IT systems and monitoring platforms.
• Collaborate with Network, Infrastructure, and Security teams to ensure secure and reliable connectivity.
• Support access control systems, CCTV, smart locks, IoT devices, and other connected workplace technologies.
• Implement monitoring, alerting, and preventive maintenance practices.
• Maintain system configurations, architecture diagrams, and operational documentation.

Technical Project Ownership

• Participate in solution architecture, technology selection, and system design.
• Coordinate with vendors, contractors, and system integrators.
• Supervise technical implementation, testing, commissioning, and acceptance.
• Take ownership of technical projects from initial requirements through deployment and operational handover.

What We Value

• Ownership: Taking responsibility for systems and projects from design through deployment, documentation, and ongoing operation.
• Problem Solving: Investigating root causes and finding practical, reliable solutions rather than temporary workarounds.
• Systems Thinking: Understanding how building automation, AV, hardware, networking, and software interact.
• Hands-on Engineering: Being comfortable working directly with equipment, configuring devices, and troubleshooting technical issues.
• Software & Automation Mindset: Looking beyond existing products and recognizing when custom software or automation can provide a better solution.
• AI-Enabled Productivity: Using modern AI development tools effectively to accelerate implementation without compromising quality, security, or maintainability.
• Collaboration: Working effectively with IT, Infrastructure, Security, Facilities, and external vendors.
• Continuous Learning: Being curious, adaptable, and willing to explore unfamiliar technologies.