Cloud Network Engineer II

Responsibilities

• Network Design & Implementation: Architect and deploy high-throughput, low-latency physical network topologies (e.g., Clos, FatTree) using technologies such as InfiniBand and Ethernet to support AI model training and HPC workloads.
• Infrastructure Automation: Develop and maintain automation frameworks for provisioning, validating, and monitoring physical network infrastructure at scale, ensuring consistency and reliability across data centres.
• Operational Readiness: Serve as a Designated Responsible Individual (DRI) for physical network systems—monitoring health, responding to incidents, performing root-cause analysis, and driving improvements in availability and observability.
• Tooling & Instrumentation: Build and integrate tooling for telemetry, diagnostics, and performance tuning of physical network components, enabling real-time visibility into link health, congestion, and jitter.
• Cross-Functional Collaboration: Partner with hardware engineering, DataCentre operations, and software-defined networking teams to ensure seamless integration of physical and logical network layers.
• Documentation & Standards: Own the documentation of physical network designs, cabling standards, and deployment procedures. Lead design reviews and ensure alignment with compliance and safety standards.
• Innovation & Research: Stay current with advancements in optical networking, high-speed interconnects, and AI/HPC fabric technologies. Evaluate and integrate emerging solutions to improve scalability, efficiency, and performance.

Qualifications

• Master's Degree in Electrical Engineering, Optical Engineering, Computer Science, Information Technology, or related field AND 1+ year(s) technical experience in network design, development, and automation
  • OR Bachelor's Degree in Electrical Engineering, Optical Engineering, Computer Science, Information Technology, or related field AND 2+ years technical experience in network design, development, and automation
  • OR equivalent experience.
• 1+ year of experience designing, deploying, and supporting data center and backbone networks for distributed computing platforms such as artificial intelligence and machine learning clusters, high-performance computing systems, or hyperscale data centers
• 1+ year of experience with network performance tuning (latency, jitter, throughput optimization) and hands-on experience with telemetry and observability tools for physical infrastructure
• 1+ year of experience with Optical networking, high-speed interconnects (e.g., InfiniBand, Ethernet, NVLink), and fabric orchestration in large-scale environments and Network automation frameworks, structured cabling standards, and tools for link validation, diagnostics, and monitoring.

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

• Doctorate Degree in Electrical Engineering, Optical Engineering, Computer Science, Information Technology, or related field
  • OR Master's Degree in Electrical Engineering, Optical Engineering, Computer Science, Information Technology, or related field AND 3+ years technical experience in network design, development, and automation
  • OR Bachelor's Degree in Electrical Engineering, Optical Engineering, Computer Science, Information Technology, or related field AND 5+ years technical experience in network design, development, and automation
  • OR equivalent experience.
• 1+ year(s) experience in high-performance networking environments, including:
  • Artificial Intelligence-specific networking technologies such as InfiniBand, Remote Direct Memory Access over Converged Ethernet (RoCE), and NVIDIA NVLink, including their physical deployment and performance characteristics
  • Artificial Intelligence accelerators (e.g., graphics processing units from NVIDIA or AMD, or tensor processing units) and their integration with physical networking infrastructure
  • Linux-based systems, including kernel-level networking, interface tuning, and low-level debugging of physical network issues
• 1+ year(s) experience with telemetry and observability tools used to monitor physical network health, link performance, and congestion at scale
• 8+ year(s) technical experience in network design, development, and automation, demonstrated by one of the following:
  • Direct experience in the field
  • 3+ years of experience with a Master’s Degree in one of the above fields
  • Practical experience or a Doctorate Degree in a related field

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.