Optical Network Developer

24 Minutes ago • 2-8 Years • Network Engineering • $98,300 PA - $208,800 PA

Job Summary

Job Description

Microsoft seeks an Optical Network Developer to architect, deploy, and operate optical networking solutions (including Hollow Core Fiber) for AI systems. Responsibilities encompass automation platform development, ensuring network self-healing, collaboration on global network strategy, incident management, code implementation and optimization, telemetry and data analysis for continuous improvement, and staying current with technological advancements. The role requires strong experience in network design, development, and automation, with a focus on AI-optimized optical networks. The candidate will be a primary contact for incidents and will work to implement fixes and avoid future problems.
Must have:
  • 5+ years experience in network design, development, and automation OR relevant degree and 1-2 years experience
  • Experience with optical networking technologies
  • Automation platform development
  • Incident management and problem resolution
  • Data analysis and telemetry
Good to have:
  • 8+ years experience in network design, development, and automation OR relevant degree and 3-5 years experience
  • Experience with Hollow Core Fiber (HCF)
  • Cloud Network Engineering experience

Job Details

Overview

Are you excited about shaping the future of Artificial Intelligence (AI) with cutting-edge optical networking technologies? Do you wonder how the massive number of Graphics Processing Units (GPUs) and Central Processing Units (CPUs) are connected with high-speed optical links to form the next generation of computing power for the whole world? Do you want to help make the network that’s enabling such a new level of human intelligence? If you've answered 'yes' to these questions, then this role is could be for you.

 

As an Optical Network Developer, you will architect, deploy and operate optical networking solutions leveraging existing and new optical fiber technologies, including Hollow Core Fiber (HCF), to meet the capacity demand driven by 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. 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Qualifications

Required Qualifications:

  • 5+ years technical experience in network design, development, and automation 
    • OR Bachelor's Degree in Electrical Engineering, Optical Engineering, Computer Science, Engineering, Information Technology, or related field AND 2+ years technical experience in network design, development, and automation. 
    • OR 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. 

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:

  • 8+ 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 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 Doctorate Degree in Electrical Engineering, Optical Engineering, Computer Science, Information Technology, or related field. 

Cloud Network Engineering IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $127,200 - $208,800 per year.

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

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

 

 

#azurecorejobs

Responsibilities

  • Optical Network Operations in SRE Role: Work with stakeholders to define optical networking needs for AI systems. Lead the automation and incident management of parts of our optical network.
  • Code Implementation and Optimization: Write, enhance, and streamline code for managing and automating optical networks, emphasizing scalability and efficiency for AI networks.
  • Telemetry and Data Analysis: Monitor AI-optimized optical network telemetry and use data analytics to identify issues and improve products and services. Develop tools for automatic problem resolution and continuous network improvement.
  • Operational Readiness and Incident Management: Serve as the primary contact for incidents, quickly addressing issues and implementing fixes. Work with various teams for fast resolution and use automation to avoid future problems. Share insights from incident reviews.
  • Continuous Improvement and Trend Adaptation: Keep up with optical networking and AI advancements. Incorporate new knowledge and technologies to enhance the performance and reliability of AI-optimized optical networks.
  • Embody our and  

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