Senior AWS Network Engineer (Cloud)

TL;DR

Senior AWS Network Engineer (AWS/Terraform): Designing and delivering global network backbone infrastructure across multiple AWS regions with an accent on secure egress architectures and seamless multi-region connectivity. Focus on building AWS Cloud WAN infrastructure, automating deployments via Terraform, and integrating AI-powered assistants into the network delivery lifecycle.

Location: Must be based in the European Union region and possess a valid work permit.

Company

Global AI-first digital transformation and engineering partner with over 25 years of experience helping organizations build scalable products and data-driven solutions.

What you will do

• Deliver global network backbone infrastructure across multiple AWS regions.
• Build centralized egress architectures using AWS Network Firewall for secure and scalable traffic management.
• Maintain AWS Cloud WAN infrastructure to provide seamless connectivity and routing across the global footprint.
• Develop infrastructure as code using Terraform to ensure consistent and version-controlled deployments.
• Implement network automation and self-service capabilities to enable incremental delivery of network services.
• Mentor other network engineers and drive the adoption of automation-first engineering best practices.

Requirements

• 5+ years of experience in network engineering with a focus on enterprise cloud networking solutions.
• Deep hands-on expertise in AWS Cloud WAN, including configuration and routing policies.
• Strong proficiency in Terraform for managing complex network infrastructure deployments.
• Experience designing centralized egress architectures using AWS Network Firewall.
• Must be based in the European Union region and have a valid work permit.
• Fluent English communication skills.

Nice to have

• Experience applying GenAI in a structured way within the SDLC (workflows, prompt patterns).
• Familiarity with agent-based workflows and AI-augmented development practices.

Culture & Benefits

• People-first culture with a strong emphasis on engineering excellence.
• Consulting mindset with a continuous focus on growth and knowledge sharing.
• Opportunity to work with a global team and high-profile clients like Spotify, Disney, and McLaren.
• Exposure to cutting-edge AI-driven productivity tools and workflows.

Hiring process

• CV review and initial HR call.
• Technical interview.
• Client interview and final decision.