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Senior System Engineer

Cloudflare - Lisbon, Portugal - Hybrid - posted 2026-09-01

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Salary: EUR 66,000 - 91,000 / annual

Cloudflare is seeking a Senior System Engineer to join its Network Engineering Team in Lisbon. The role focuses on building and operating infrastructure that powers Cloudflare's global network spanning 190+ data centers worldwide. You will work on network automation, infrastructure tools, and services designed to improve network resilience and reduce operational toil. The position emphasizes elegant, efficient problem-solving with practical, maintainable, and scalable solutions. You'll leverage AI tools and automated assistants to streamline workflows and accelerate delivery. Key responsibilities include: - Designing and implementing network automation solutions - Building infrastructure-as-code and CI/CD pipeline automation - Working with distributed systems, modern Linux internals, containerization (Docker, Kubernetes) - Implementing observability and telemetry solutions (Prometheus, Grafana, distributed tracing) - Designing reliable, fault-tolerant distributed systems - Collaborating with AI assistants and automated tools to augment task execution Required qualifications: - 6+ years of SRE, DevOps, or Software Engineering experience - BA/BS in Computer Science or equivalent - Deep understanding of Linux internals and containerization - Proficiency in Python or Golang - Experience with infrastructure-as-code tools and CI/CD automation - Hands-on experience with observability platforms - Proven track record in distributed systems design Bonus qualifications include networking engineering knowledge (Layer 2/3 protocols, gRPC/gNMI, NETCONF), configuration management frameworks (Ansible, Chef, Saltstack), and experience managing customer requirements. Cloudflare's mission is to help build a better Internet. The company operates one of the world's largest networks powering millions of websites and properties for customers from individual bloggers to Fortune 500 companies. The culture emphasizes iteration, AI-native problem-solving, and continuous improvement.

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