Location: London – 1-2 days per week in office
Start Date: ASAP
Duration: 12 months
Daily Rate: £350 - £450 per day PAYE
Summary
We are looking for an experienced Network Production Engineer skilled in tooling, networking, systems, and automation. Tasked with managing, provisioning, deploying, and integrating new products into one of the most robust, expansive, and intricate networks across the globe, this client relies heavily on automation to keep pace with scale requirements. In this position, your primary focus will be designing, building, and launching the vital tools and automation necessary for network provisioning, deployment, and global scaling. Collaborating with industry-leading engineers, you will create the systems and production code that power a massive global network and sustain the network infrastructure used daily by billions of people worldwide!
Requirements
- Python experience
- Familiar with AI tools
- Understanding networking fundamentals, basics like SSH, BGP, MPLS
- 7+ years of experience in software engineering, test automation, or infrastructure engineering.
- 5+ years of experience developing software on Linux-based operating systems.
- 3+ years of experience developing automation and tools for network provisioning, deployment, and operations.
- 3+ years of experience developing and understanding network device configurations for at least one vendor (e.g., Arista, Juniper, Cisco, Ciena, Infinera, Nokia).
- Design and develop automation, tools, and workflows to facilitate the seamless integration of new routing and switching platforms into the network infrastructure (NPI).
- Architect and build end-to-end test automation frameworks, leveraging AI to generate, optimize, and execute test suites at scale for qualification of network platforms, new products (switches, routers, optical devices), and network software — integrating them into CI/CD pipelines for continuous qualification.
- Perform deep dives on complex technical issues across networks, ranging from automated tooling to hardware failures and network issues.
