Microsoft's Global Azure Optical Network Team is seeking a Cloud Network Engineer to join their mission of operational excellence in managing and automating one of the world's largest optical networks. This role offers a unique opportunity to work on cutting-edge AI-driven automation systems that power Microsoft's global infrastructure.
As a Cloud Network Engineer, you'll be responsible for developing and deploying advanced AI agents and platforms that automate global datacenter fiber operations, maintenance processes, repairs, hardware diagnostics, and network failure recovery. The network you'll work on supports critical services including Azure cloud infrastructure, GPU-driven workloads, Teams, Xbox, Office, Bing, and Azure AI models including OpenAI.
The position offers a competitive salary range of $81,900 - $160,200 USD (higher in SF Bay Area and NYC), along with comprehensive benefits including healthcare, educational resources, and investment options. You'll work in a hybrid environment with up to 50% work from home flexibility and 0-25% travel requirements.
This is an ideal role for technically ambitious engineers looking to transition into AI-centric network automation. You'll leverage modern platforms like Temporal and have the opportunity to make immediate global impact through your contributions to Microsoft's network infrastructure.
Key responsibilities include designing AI agents, developing automation strategies, managing operational workflows, and collaborating with cross-functional teams. You'll need either a relevant Bachelor's degree or 2+ years of technical experience in network design and automation.
The role combines hands-on technical work with strategic thinking, requiring both deep technical knowledge and strong collaborative skills. You'll be part of Microsoft's mission to empower global digital transformation while working with some of the most sophisticated network infrastructure in the world.
Join Microsoft's culture of inclusion, innovation, and growth mindset, where your contributions will directly influence how efficiently and reliably Azure's optical infrastructure scales to meet exponentially increasing global demands.