Job Title

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 Zenduits 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 Tools & Technologies Automation Platforms: Make (Integromat), n8n, Zapier, Zoho Flow Programming & Integration: Python, Node.js, REST APIs, Webhooks AI Development: Claude Code, OpenAI APIs, LLM workflow orchestration tools, AI-assisted development environments Data & Analytics: SQL, Power BI, Looker, Tableau, CRM analytics tools Version Control: Git, GitHub / GitLab Required Skills Building internal tools using Claude Code Integrating APIs and external systems Designing workflow automation pipelines Implementing AI-assisted operational systems Debugging complex integrations Strong systems thinking and process-driven mindset Ability to translate operational problems into technical solutions Experience 36+ years in: Automation engineering Backend engineering Systems integration AI-assisted development workflows Experience with SaaS operations or CRM automation is highly preferred. Mindset We Are Hiring For Naturally ask: Why is this manual? Focus on system-driven solutions rather than manual work Seek ways AI can accelerate workflows Enjoy building tools that make teams faster and more efficient Benefits Paid PTO Full Time Employment Benefits / Insurance from Day 1 Free Company Premises Parking Salary Range: Typical compensation for experienced candidates in this role ranges between CAD $65,000 $100,000 annually , depending on experience, technical depth, and interview performance. 01 years (Fresh Graduates): ~CAD $65K $72K 23 years experience: ~CAD $75K $90K 46 years experience: ~CAD $85K $105K ZenduIT is an equal opportunity employer committed to fostering an inclusive, barrier-free, and accessible environment. We believe that a diverse workforce at all levels of the organizationincluding our engineering teamsis critical to our success. We use artificial intelligence to assist in screening and assessing applicants for this position. This technology helps us identify candidates whose skills best align with the role requirements. All final selection decisions are made by our human recruitment team.