Site Reliability Engineer: Cloud Automation & Scale (Hybrid)

Qargo TMS

Gent

Hybrid

EUR 80,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Flexible hours
Hybrid working
Green office
Ownership and impact
Career growth

Job summary

Qargo TMS in Ghent is hiring a Site Reliability Engineer to design, build, and operate scalable cloud infrastructure with a software engineering mindset. You will automate deployment, improve reliability, and reduce manual operations across the platform.

You will collaborate with backend teams, focus on observability, and optimize databases like PostgreSQL and Firestore while embracing a culture of learning and knowledge sharing.

Qualifications

  • Experience building scalable cloud-based services.
  • Proficient in Python or other backend languages.
  • Knowledge of cloud platforms and CI/CD pipelines.

Responsibilities

  • Build and maintain reliable, scalable systems for the platform.
  • Improve software delivery with automation and developer experience.
  • Develop internal tools to reduce manual operational work.
  • Enhance observability with monitoring, logging, and alerting.
  • Optimize performance of databases including PostgreSQL and Firestore.
  • Collaborate with backend engineers to design reliable architectures.
  • Troubleshoot production issues and implement long-term fixes.
  • Continuously improve infrastructure via IaC and automation.

Skills

Software engineer
Infra mindset
Reliability focus
Python
Cloud experience
Distributed systems
CI/CD
Databases
Monitoring
Problem solving
Team collaboration

Tools

PostgreSQL
Firestore

Job description

Qargo TMS in Ghent is hiring a Site Reliability Engineer to design, build, and operate scalable cloud infrastructure with a software engineering mindset. You will automate deployment, improve reliability, and reduce manual operations across the platform.

You will collaborate with backend teams, focus on observability, and optimize databases like PostgreSQL and Firestore while embracing a culture of learning and knowledge sharing.

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