Microsoft Senior Cloud Network Engineer 

United States, Washington 

534817318

As a ​​Senior Cloud Network Engineer​ for AI Systems, you will architect and deploy optical networking solutions optimized for AI, collaborate on global network strategy, and develop automation platforms to make the network self-healing. This opportunity will allow you to accelerate your career growth in a booming area of technological innovation, gain deep expertise in optical networking tailored for AI applications, and master the skills needed for large-scale network automation. You’ll benefit from a flexible work environment where you can work from home partially and come into the office/lab as required.

Required Qualifications:

Other Requirements:

• 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.

Preferred Qualifications:

• 11+ years of technical experience with a focus on optical transceiver design, validation, and testing utilizing coherent, direct-detection, and WDM technologies
• Automation experience with coding in languages including, but not limited to, Python, C#, JavaScript, or RUST
  • OR Bachelor's Degree in Electrical Engineering, Fiber Optical Network Engineering, Computer Science, Information Technology, or a related field AND 8+ years of technical experience with a focus on optical transceiver design, validation, and testing utilizing coherent, direct-detection, and WDM technologies
  • OR Master's Degree in Electrical Engineering, Fiber Optical Network Engineering, Computer Science, Information Technology, or a related field AND 6+ years of technical experience with a focus on optical transceiver design, validation, and testing utilizing coherent, direct-detection, and WDM technologies
  • OR Doctorate Degree in Electrical Engineering, Fiber Optical Network Engineering, Computer Science, Information Technology, or a related field AND 3+ years of technical experience with a focus on optical transceiver design, validation, and testing utilizing coherent, direct-detection, and WDM technologies.
• 1+ year(s) of experience delivering fiber optical network designs into production and live site accountability for a network

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Optical Network Design for AI Systems: Collaborate with key stakeholders to ascertain customer requirements specific to optical networking for AI systems. Lead the design and development of specialized optical network components, focusing on optical direct-detection and coherent technologies, to meet both customer and technical requirements that is customized for AI applications. Create comprehensive design documents that detail the architectural blueprint for optical solutions optimized for AI applications.
• Optical Transceiver Testing and Validation: Conduct rigorous testing and validation of optical grey and WDM transceivers. Utilize automation tools to establish test cases, and identify gaps in test coverage, ensuring the transceivers' high-performance compatibility with AI applications.
• Code Implementation and Optimization: Develop, optimize, debug, and refactor code tailored for the management and automation of optical networks, focusing on scalability and efficiency in AI-driven network environments.
• Project and Feature Leadership: Utilize your in-depth expertise in coherent and direct-detection optical technologies to steer project and release plans in coordination with project managers and stakeholders. Make sure these plans align with the overarching objectives of optical networking optimized for AI systems.
• Operational Readiness and Incident Management: Act as the Designated Responsible Individual (DRI) during on-call rotations, efficiently responding to incidents with significant customer or business impact. Assess the level of impact, troubleshoot issues, and deploy targeted fixes to resolve root causes. Coordinate with multiple teams, from product owners to engineers, to facilitate timely incident resolution. Implement automation strategies to prevent recurrence of issues. Escalate complex or ambiguous problems as needed, and contribute to postmortem reviews, sharing insights on incidents and their resolutions.
• Telemetry and Data Analysis for Optical Networks: Monitor network telemetry designed specifically for AI-optimized optical networks. Leverage data analytics to detect patterns, errors, and unexpected issues, using these insights to make informed decisions on product and service improvements.
• Continuous Improvement and Trend Adaptation: Stay abreast of the latest trends and technologies in optical networking and AI. Seek out new knowledge and techniques that can improve the availability, reliability, efficiency, and scalability of AI-optimized optical networks, adapting new solutions and best practices accordingly.