Customer Engineering and Reliability

Zenduit Inc.; Mississauga; On-site; CAD 58,000 - 70,000; Full time

Job summary

ZenduIT / GoFleet is seeking an engineer in Mississauga, Ontario who enjoys figuring out why something isn’t working across vehicles, IoT devices, networks, SaaS platforms, APIs, integrations, configurations, and data. The role focuses on evidence-based troubleshooting rather than guessing, and involves clear customer communication and collaboration with engineering.

You will reproduce issues, test hypotheses, and identify root causes while creating reusable diagnostic tools and documentation to

Qualifications

• Experience in technical support and hands-on troubleshooting.
• Ability to diagnose problems where cause isn’t obvious.
• Methodical approach to separating symptoms, evidence, and root cause.
• Working knowledge of REST APIs, logs, SQL/MongoDB, networking, SaaS apps, scripting, or IoT/devices.
• Comfort with Postman, query tools, spreadsheets, or scripting environments.

Responsibilities

• Turn vague customer reports into specific, testable questions.
• Reproduce issues, test hypotheses, identify root causes.
• Compare working vs. failing systems to find meaningful differences.
• Communicate clearly with customers about what is known and next steps.
• Escalate issues to engineering with evidence and steps.
• Identify recurring problems and help drive permanent fixes.
• Create reusable diagnostics, queries, scripts, checklists, and docs.
• Use AI to investigate faster while verifying results.

Skills

REST APIs

SQL/MongoDB

Networking

SaaS apps

Scripting

IoT devices

Postman

Root-cause analysis

Tools

Postman

Query tools

Spreadsheets

Job description

Location: Mississauga, Ontario – Hybrid (4 days/week in office)

Type: Full-time

Team: Customer Engineering

Compensation:

• Fresh Graduate (0–1 year): CAD $50,000–$62,000
• Early Professional (1–3 years): CAD $58,000–$70,000

ZenduIT and GoFleet build technology that helps organizations manage fleets and field operations more effectively. Our solutions span GPS tracking, driver safety, AI dash cameras, maintenance, compliance, asset monitoring, workflow automation, and business intelligence.

We are now building GoZen Intelligence, an AI-powered fleet intelligence platform designed to turn operational data into prioritized insights, recommendations, and actions.

About the Role

We are looking for a engineer who enjoys figuring out why something isn't working, rather than simply closing a ticket.

You will investigate technical issues across vehicles, IoT devices, networks, SaaS platforms, APIs, integrations, configurations, and data—identify the root cause, communicate clearly with customers, and help prevent the issue from happening again.

This role is about replacing guessing with evidence-based troubleshooting.

What You Will Do

• Turn vague customer reports into specific, testable technical questions.
• Reproduce issues, test hypotheses, and identify root causes.
• Compare working vs. failing systems to find meaningful differences.
• Communicate clearly with customers about what we know, what we don't know, and what happens next.
• Escalate issues to engineering with clear evidence, reproduction steps, and findings.
• Identify recurring problems and help drive permanent fixes.
• Create reusable diagnostic tools, queries, scripts, checklists, and documentation.
• Use AI to investigate faster while verifying its output against real evidence.

What You May Investigate

• Vehicles or devices that stop reporting.
• API, authentication, webhook, or integration issues.
• Missing, delayed, duplicated, or inconsistent data.
• Firmware or configuration problems.
• Recurring issues that have been fixed repeatedly but never truly resolved.

What We're Looking For

We value curiosity, critical thinking, ownership, and problem-solving over job titles or years of experience.

You should have:

• Experience in technical support, application support, customer engineering, QA, implementation, systems, field service, or similar hands‑on troubleshooting.
• Experience diagnosing technical problems where the cause was not immediately obvious.
• A methodical approach to separating symptoms, evidence, and root cause.
• Working knowledge of areas such as REST APIs, logs, SQL/MongoDB, networking, SaaS applications, scripting, or IoT/devices.
• Comfort with tools such as Postman, query tools, spreadsheets, or scripting environments.
• Strong communication skills with both technical and non-technical users.
• Practical experience using AI tools for technical work, with the judgment to verify the results.

Telematics, GPS, cellular, or vehicle‑electrical experience is a plus, but not required.

Why Join Us?

• Work where software, devices, vehicles, networks, and data come together.
• Solve technically interesting real‑world customer problems.
• Have your investigations directly influence product and engineering improvements.
• Build broad systems knowledge rather than following a scripted support process.
• Develop toward Customer Engineering, Solutions Engineering, Implementation, Product, or Forward‑Deployed roles.

Hiring Process

The practical investigation includes realistic technical/log data, and AI tools are welcome. We ask candidates to explain how they used AI and how they verified the output.

ZenduIT / GoFleet is an equal opportunity employer and welcomes applicants from all backgrounds. Accommodations are available throughout the hiring process.

Don't stop at the first answer. Find the evidence. Find the root cause. Fix the problem.