Cloud Network Engineer II

Microsoft • ,

5d • $102,100 - $219,200

About The Position

The HPC/AI team builds next-generation distributed AI supercomputing infrastructure to support high-performance AI model training at scale. The Cloud Network Engineer II will help deliver and operate the network infrastructure and tooling that powers large-scale AI and HPC networking systems, managing network fabrics designed for ultra-low latency, high throughput, reliability, and efficiency in distributed AI workloads. The role works at the intersection of AI supercomputing and large-scale cloud networking, supporting massive distributed clusters and high-speed fabrics such as InfiniBand and RoCE, as well as accelerated compute platforms such as NVIDIA and AMD GPUs.

The engineer develops network roadmaps and technical solutions, investigates service interruptions, and drives automation, reliability, and operational improvements. The position also serves as a Designated Responsible Individual for networking services and tooling, with responsibility for production monitoring, incident response, root-cause analysis, and long-term improvements in observability and operational readiness. Microsoft describes its culture as grounded in a growth mindset, innovation, collaboration, respect, integrity, accountability, and inclusion.

Requirements

• Master's degree in Electrical Engineering, Optical Engineering, Computer Science, Information Technology, or a related field and at least 1 year of technical experience in network design, development, and automation; or bachelor's degree in one of these fields and at least 2 years of such experience; or equivalent experience.
• Ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.

Nice To Haves

• Doctorate in Electrical Engineering, Optical Engineering, Computer Science, Information Technology, or a related field; or master's degree in one of these fields and at least 3 years of technical experience in network design, development, and automation; or bachelor's degree in one of these fields and at least 5 years of such experience; or equivalent experience.
• At least 6 years of experience troubleshooting and producing designs that use protocols such as OSPF, ISIS, BGP, MPLS, LDP, and VRF.
• At least 4 years of experience troubleshooting production datacenter Ethernet networks, including switches, ports, transceivers, fiber, and physical-layer failures.
• At least 3 years of experience troubleshooting high-speed optical connectivity using telemetry such as optical power, BER, FEC, CRC, lane-level status, and link-flap data.
• At least 2 years of experience operating or supporting large-scale AI, HPC, or cloud network fabrics using BGP, RoCE, ECMP, or leaf-spine architectures.
• At least 1 year of experience delivering network designs into production and having live-site accountability for a network.
• CCNP, CCIE, or JNCI certification.

Responsibilities

• Develop a technical roadmap and servicing protocols and procedures for backend network infrastructure.
• Create and propose technical solutions for complex systems design or process issues where little or no precedent exists.
• Perform root-cause analysis of service-interrupting incidents and develop and implement strategies to prevent recurrence.
• Use influence and negotiation skills to affect decisions and make trade-offs based on total cost of ownership and risk.
• Drive continuous improvements to networking services, automation for scale, and optimization through appropriate tooling.
• Serve as a subject matter expert in more than one relevant area, such as network operating systems, Python network automation, BGP, cloud-scale operations, MPLS, large-scale testing, OpenConfig, or streaming telemetry.
• Serve as a Designated Responsible Individual for networking services and tooling by monitoring production systems, responding to incidents, coordinating root-cause analysis, and improving observability and operational readiness.
• Track emerging trends in AI infrastructure, HPC fabrics, and software-defined networking; incorporate best practices into development workflows and drive improvements in scalability, reliability, and performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level