Support Engineer

Posted 6 Days Ago
Be an Early Applicant
Gent, BEL
Hybrid
Junior
Artificial Intelligence • Logistics • Software • Transportation
The Role
Act as second-line technical support bridging Customer Support and Engineering: triage and prioritise requests, analyse logs and code, identify root causes, implement improvements and automation, and provide product feedback to reduce engineer involvement and increase case automation.
Summary Generated by Built In
🚛 About Qargo

Qargo is a cloud-based (SaaS) Transport Management Platform. We are a scale-up based in London and Ghent (Belgium), rapidly expanding across Europe. The platform is an ‘all-in-one system’, handling everything from initial order entry to final invoicing. It optimises planning and has a built-in AI feature that automates lengthy manual tasks. Qargo is designed to help modern logistics operations run more efficiently, while increasing profitability and sustainability.

We’re looking for a Support Engineer to join our team in Ghent.

If you’re looking to work in an international company in a role that offers autonomy, ownership, and real impact, this is the role for you!

💼 About the Role

In this role, you’re part of the engineering team and you’ll be the bridge between our Customer Support and Engineering teams. You’ll make sure technical issues are handled smoothly, quickly, and effectively, while helping us improve how we support our customers internally.

This is a great opportunity for someone who’s curious, analytical, and loves solving complex problems. You’ll work closely with our software engineering team, learn how our product works under the hood, and make a real impact on how we scale support at Qargo.

🔑 Your impact
  • Act as second-line support, bridging the gap between customer support and engineering

  • Triage and prioritise internal support requests so they’re handled quickly and effectively

  • Analyse issues, read code and logs, and identify root causes

  • Suggest and implement improvements to make support workflows more efficient — both manual and automated

  • Provide feedback on potential product improvements based on recurring support cases

  • Help reduce the time engineers spend on support tasks

  • Increase the number of cases that can be solved automatically

🧠 What You Bring
  • A degree in IT or related field (or equivalent experience)

  • You can read and understand code, analyse logs, write basic SQL queries and think in terms of distributed systems

  • Strong communication skills in English

  • A curious, problem-solving mindset, you genuinely enjoy digging into issues and figuring things out

  • You’re confident experimenting with AI tools (e.g. to analyse logs, structure information, speed up troubleshooting or improve workflows) and you actively look for ways to use AI to work smarter

  • You can translate technical details into clear, simple explanations

  • Experience in structuring data or reporting on support cases is a plus

  • Experience in a SaaS or tech environment is a plus

🤝 What We Offer
  • Real impact and ownership in a growing international scale-up

  • A supportive and collaborative team culture

  • Hybrid working setup with flexibility and trust

  • Opportunities to learn, grow, and expand your technical knowledge

  • Competitive salary and benefits package

Skills Required

  • Degree in IT or related field or equivalent experience
  • Ability to read and understand code
  • Analyze logs and identify root causes
  • Write basic SQL queries
  • Think in terms of distributed systems
  • Strong communication skills in English
  • Curious, problem-solving mindset
  • Comfort experimenting with AI tools to aid troubleshooting and workflows
  • Translate technical details into clear, simple explanations
  • Experience structuring data or reporting on support cases
  • Experience in a SaaS or tech environment
Am I A Good Fit?
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The Company
182 Employees
Year Founded: 2020

What We Do

Qargo provides an intelligent, cloud-based transportation management system (TMS) for carriers, brokers, and logistics leaders. Its platform centralizes fleet, subcontractor, partner, customer, and complex-job operations, while automating order processing, administrative work, error detection, invoicing, and back-office workflows through Qargo Intelligence (Qi). The company aims to help transportation businesses operate more efficiently, reduce empty runs, and grow profitably and sustainably.

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