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Systems Engineer, Network Automation

Cloudflare· Engineering
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Hybrid (Lisbon, Portugal)€54k - €75kfull-timePosted 2mo ago

About the role

Network automation engineer role at Cloudflare, building software solutions to improve network resilience and reduce operational toil, with AI-assisted tooling and a focus on scalable, maintainable systems across a large global network.

Responsibilities

  • Join a team of network automation engineers building software solutions to improve network resilience and reduce engineering operational toil.
  • Work on a range of tools, infrastructure and services - new and existing - with the goal of solving problems in a practical, maintainable and scalable way.
  • Leverage AI tools and automated assistants to streamline daily workflows.

Qualifications

  • BA/BS in Computer Science or equivalent experience
  • 3+ years of proven experience in developing software components for network automation.
  • Understanding of software development principles, design patterns, and various programming languages (like python and golang)
  • Proficient with modern Unix/Linux operating systems/distributions
  • Experience in MySQL, Postgres, Clickhouse (or equivalent SQL language)
  • Experience with CI/CD, containers and/or virtualization
  • Experience with Observability systems like Prometheus, Grafana (or equivalents)
  • Demonstrated experience working alongside AI assistants or automated tools to augment task execution and project delivery

Skills

Required:BA/BS in Computer Science or equivalent experienceSoftware development for network automationProgramming languagesUnix/LinuxSQL databasesCI/CD / containers / virtualizationObservability toolsAI assistants / automated tools

Benefits

  • Cloudflare offers a complete package of benefits and programs to support you and your family.
Last updated Sep 30, 2026. Interested? Apply on the company site.

About Cloudflare

Connect, protect, and build everywhere | Cloudflare

Make employees, applications and networks faster and more secure everywhere, while reducing complexity and cost.

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