Systems engineer Jobs in Brampton, ON

Location: Mississauga, ON (In-Office Preferred)

Reports to: CEO / Automation Lead

Works closely with: Revenue Systems & Automation Lead

Type: Full-time

About ZenduIT

ZenduIT is evolving into an AI-driven, automation-first company, building a modern internal operating system powered by automation, APIs, and AI agents. We empower teams across Sales, Customer Success, Channel, Service Delivery, and Finance by providing tools, workflows, and agentic AI systems that make operations faster, smarter, and more reliable.

Role Mission

The Automation Engineer will design and build automation pipelines, internal tools, and AI-driven workflows that power Zenduit’s operations. Using Claude Code and modern AI-assisted development tools, you will rapidly prototype, productionize, and maintain systems that streamline processes and integrate multiple teams and platforms.

You will work closely with the Revenue Systems & Automation Lead, who defines operational priorities, while you implement the systems that execute them.

AI-Native Development

Key expectations:

• Rapidly build internal operational tools using Claude Code
  
• Generate and refine backend services with AI assistance
  
• Design AI-driven workflows that connect systems and data
  
• Prototype quickly and productionize solutions
  
• Use AI tools to accelerate development cycles
  

Examples of projects you may build:

• Internal workflow tools for Sales and Operations
  
• AI agents monitoring pipeline health and generating alerts
  
• CRM automation services with API integrations
  
• Operational dashboards powered by automated data pipelines
  
• AI-assisted systems summarizing meetings and updating CRM records
  

We are looking for engineers who are comfortable working with AI as a development partner and can turn operational ideas into working tools rapidly.

Key Responsibilities

Automation Development

• Build reliable automation workflows and internal operational tools
  
• Integrate APIs across CRM, support, finance, and operational systems
  
• Create internal tools that reduce manual work across teams
  

Agentic AI Systems

• Design and implement AI-assisted operational workflows, including:
  
• Meeting transcript → CRM updates → task creation
  
• AI agents monitoring operational metrics
  
• Automated summarization of operational data
  
• AI-assisted support ticket analysis
  

Automation Reliability

• Ensure systems operate reliably in production
  
• Implement error handling and retry logic
  
• Monitor automation pipelines and debug integration failures
  
• Maintain documentation of workflows