Microsoft Senior Cloud AI Optical Network Engineer 

United States 

194855111

In the role ofyou will have the chance to design and automate optical network systems using cutting-edge AI technological advancements. You will contribute to international network planning, champion innovation in optical networking technology, and develop automated control, surveillance, and management systems to enhance network availability, dependability, and resilience. This position provides a platform to elevate your career within a sector ripe with technical ingenuity, deep understanding of AI-oriented optical networking, and mastery of extensive network automation. The flexible work arrangement allows for a combination of remote work and necessary office/lab presence. Embrace this opportunity to drive change and extend the boundaries of feasible technology.

Required Qualifications:

• 7+ years of technical experience specializing in fiber optical network design, development, and automation with a focus on optical system or subsystem design, validation, and testing utilizing coherent, direct-detection, and WDM technologies
  • OR Bachelor's Degree in Electrical Engineering, Fiber Optical Network Engineering, Computer Science, Information Technology, or a related field AND 4+ 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 3+ 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 1+ years of experience delivering fiber optical network designs into production and live site accountability for a network

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, AND automation experience with coding in languages including, but not limited to, Python, C#, JavaScript, or RUST
  • 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, AND automation experience with coding in languages including, but not limited to, Python, C#, JavaScript, or RUST
  • 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, AND 1+ years of experience delivering fiber optical network designs into production and live site accountability for a network, AND automation experience with coding in languages including, but not limited to, Python, C#, JavaScript, or RUST

• Optical Network Automation leveraging AI technologies: Collaborate with key stakeholders to leverage the lastest developed AI models to automate the optical network. 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.
• Testing and Validation: Conduct rigorous testing and validation of optical systems and components. Utilize automation tools to establish test cases, and identify gaps in test coverage, ensuring the transceivers' high-performance compatibility with AI applications.
• Project and Feature Leadership: Utilize your in-depth experience 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.
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