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Publié il y a 12 jours

Customer Engineering & Reliability - Technical Support (October 30, 2026)

@ GoFleet

Mississauga, Ontario

Temps plein3+ ans d’expérience
Postuler
SIGNAUX

En bref

ZenduIT and GoFleet are hiring a Technical Support specialist in Mississauga for the Customer Engineering team. The role investigates technical issues across vehicles, IoT devices, networks, SaaS platforms, APIs and data, finds root causes and explains them to customers. Full-time, permanent, 40 hours per week Monday to Friday, hybrid with at least 3 office days a week, with a remote option considered for strong candidates outside the GTA.

Responsabilités :

  • Investigate technical issues with logs, APIs, dashboards and SQL
  • Reproduce issues and prove root causes
  • Communicate status and findings to customers
  • Escalate evidence packs to engineering
  • Drive recurring issues to permanent fixes

Résumé des exigences :

  • 3+ years in technical or application support, QA, or field service
  • Real examples of diagnosing non-obvious problems
  • Working knowledge of REST APIs, logs, SQL or MongoDB, networking and scripting
  • Comfort with Postman, query tools and spreadsheets
  • Hands-on AI use for technical work with output verification
  • Legally entitled to work in Canada

Outils et compétences

Source et dates

Type de source non vérifié · zoho

Date publiée par l’employeur
2026-10-29
Première détection par notre source
2026-10-30
Mise à jour du dossier source
2026-11-06

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauIntermédiaire
DomaineService à la clientèle
Expérience3 an(s) et plus
Heures par semaine40
Horairejour
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau, Domicile
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

GoFleet

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

Making products smart with XenTag's dynamic uncloneable tags. Detect tampering and product provenance. Eliminate fakes!

Description complète de l’entreprise

At Xentag, we're shaping the future of brand interaction and authentication with a simple tap of your smartphone. Through NFC technology we transform any product into a smart one 💡. Elevate brand reputation, build trust, differentiate from your competitors, and enhance customer engagement. Say goodbye to counterfeits and embrace a future where one tap unlocks endless possibilities. #Xentag #NFCtechnology #BrandInteraction #ProductAuthenticity #SecureFuture

Abonnés LinkedIn
226
Personnes associées sur LinkedIn
3
Bureaux déclarés
  • 2355 Skymark Ave, 1st Floor, Mississauga, Ontario L4W 4Y6, CA
Autres noms enregistrés
  • GoFleet
  • XenTag
Spécialités
  • RFID tag
  • NFC tag
  • Authentication
  • Digital tamper-proof
  • Brand Protection
  • Customer Engagement
  • Customer Experience Before Purchase
  • Customer Experience After Purchase
  • alternative assets
  • NFC
  • Counterfeit Protection
  • Digital Engagement
  • and Dynamic tags
Le profil indique une agence de recrutement
Non

At Xentag, we're shaping the future of brand interaction and authentication with a simple tap of your smartphone. Through NFC technology we transform any product into a smart one 💡. Elevate brand reputation, build trust, differentiate from your competitors, and enhance customer engagement. Say goodbye to counterfeits and embrace a future where one tap unlocks endless possibilities. #Xentag #NFCtechnology…

ChampValeur
SecteurSoftware Development
Taille2-10 employees
Siège socialMississauga, Ontario
Type d’organisationPrivately Held
Fondée en2022
SpécialitésRFID tagNFC tagAuthenticationDigital tamper-proofBrand ProtectionCustomer EngagementCustomer Experience Before PurchaseCustomer Experience After Purchasealternative assetsNFC
Offres sur Jobsy5
LinkedInVoir la page
Description

Customer Engineering & Reliability – Technical Support

Location: Mississauga, Ontario (hybrid) · Type: Full-time, permanent · Hours: 40 hours/week, Monday to Friday · Team: Customer Engineering

Work arrangement: Hybrid, with at least 3 days a week in our Mississauga office and up to 2 days remote. For strong candidates based outside the Greater Toronto Area, we may consider a remote arrangement.

About ZenduIT / GoFleet / GoZen Intelligence
ZenduIT and GoFleet build technology that helps organizations run fleets and field operations: GPS tracking, driver safety, AI dash cameras, maintenance, compliance, asset monitoring and business intelligence. We are now building GoZen Intelligence, an AI-powered fleet intelligence platform that turns operational data into prioritized insights and actions.

About the role
You will investigate technical issues across vehicles, IoT devices, networks, SaaS platforms, APIs and data. You find the root cause, explain it clearly to customers and help make sure it does not happen again. This role replaces guessing with evidence.

What you will do

  • Turn vague customer reports into specific, testable technical questions.
  • Investigate with logs, APIs, dashboards, SQL queries, configuration and event history.
  • Reproduce issues, compare working and failing cases, and prove the root cause.
  • Keep customers informed: what we know, what we don't know yet, and when the next update comes.
  • Escalate to engineering with evidence packs they can act on immediately.
  • Spot when one ticket is a pattern, and drive recurring issues to a permanent fix.
  • Build reusable diagnostic queries, scripts, runbooks and knowledge articles.
  • Use AI to investigate faster, and verify its output against real data.

What we are looking for

  • 3+ years in technical support, application support, customer engineering, QA, implementation or field service.
  • Real examples of diagnosing problems where the cause was not obvious.
  • Working knowledge of several of: REST APIs, logs, SQL or MongoDB, networking, SaaS, scripting (Python, PowerShell or Bash), IoT devices.
  • Comfort with Postman, query tools and spreadsheets.
  • Clear, calm communication with technical and non-technical people.
  • Hands-on AI use for technical work, with the judgment to check the results.
  • Legally entitled to work in Canada.
  • Telematics, GPS, cellular or vehicle-electrical experience is an asset, not a requirement.

Compensation (CAD, annual base, tentative)

  • 3–5 years: $65,000 – $82,000
  • 6–8 years: $78,000 – $98,000
  • 9–11 years: $92,000 – $115,000

These ranges are tentative and will be finalized as we move through the hiring process, based on the level we hire for, assessed skills and internal equity.

Hiring process
Application → AI-assisted interview → Technical investigation case → Hiring manager → Final conversation

Use of AI in our hiring process. We use AI tools to help screen, assess and select applicants, and our first interview is conducted by an AI interviewer. People review every application and interview, and people make every hiring decision. If you would rather speak with a person, tell us and we will arrange it. This will not affect your application. AI tools are welcome in the investigation case; we will ask how you used them and how you checked the output.

Diversity and inclusion. ZenduIT / GoFleet is an equal opportunity employer. We welcome applicants of every background, identity, age and ability, and we assess what you can do, not where you did it. Canadian work experience is not required.

Accommodation. Accommodations are available at every stage of recruitment, in line with the Ontario Human Rights Code and the AODA. Tell us what you need when you apply or at any point in the process. We keep this information confidential and use it only to arrange your accommodation.

Vacancy and response. This posting is for an existing vacancy. We will tell every interviewed candidate the outcome within 45 days of their last interview.


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