Network Automation Engineer – AI-Powered, Scalable Systems

Webhosting; Lisboa; On-site; EUR 60,000 - 90,000; Full time

Job summary

Cloudflare Lisbon is seeking a network automation engineer to design and implement software components that automate and optimize our global network. You will contribute to tooling and services that improve resilience and efficiency across data centers and edge locations.

You will work with Python and Go, on Unix/Linux environments, and leverage CI/CD, containers, and modern observability stacks to deliver robust, scalable solutions that integrate AI-assisted tooling to enhance task execution

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, PostgreSQL, 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.

Responsibilities

• Develop software components for network automation and tooling.
• Build and maintain scalable network automation solutions.
• Collaborate with AI-assisted tooling to streamline workflows and delivery.

Skills

Network automation

Python

Go

Unix/Linux

SQL (MySQL/Postgres/Clickhouse)

CI/CD

Containers/Virtualization

Observability (Prometheus/Grafana)

AI-assisted tooling

Education

BA/BS in Computer Science or equivalent experience

Tools

MySQL

PostgreSQL

ClickHouse

CI/CD

Docker

Kubernetes

Prometheus

Grafana

Job description

Cloudflare Lisbon is seeking a network automation engineer to design and implement software components that automate and optimize our global network. You will contribute to tooling and services that improve resilience and efficiency across data centers and edge locations.

You will work with Python and Go, on Unix/Linux environments, and leverage CI/CD, containers, and modern observability stacks to deliver robust, scalable solutions that integrate AI-assisted tooling to enhance task execution