
Empowering every person and organization on the planet to achieve more.
Cloud Network Engineer II
Overview
Microsoft Azure Cloud infrastructure & AI infrastructure are positioned at the forefront of the next industrial revolution. The Azure Fiber & AI team is a key part of Azure, dedicated to designing, building, and operating the Global Optical Network, the backbone of connectivity for seamless interaction with Azure and the services running on it such as ChatGPT. With an emphasis on multiple revolutionary optical technologies, such as Silicon Photonics (Si Pho), Co-Packaged Optics (CPO), Open Line Systems (OLS), Hollow Core Fiber (HCF) technologies, Azure Fiber & AI is preparing for exponential growth fueled by ongoing Cloud & AI success and emerging unprecedented demands.
As a Cloud Network Engineer II in Azure Optical Fiber & AI team, you will play a crucial role in the strategic expansion and operational excellence of our solid core and hollow core fiber networks. You will lead the development and implementation of components and systems from design through deployment, operations, and automation, as well as contributing to the innovation of transformative technologies such as, Si Pho, CPO, and HCF optics for AI. Additionally, you will spearhead the development and integration of advanced AI-empowered network management, quality monitoring and improvement software, guaranteeing the highest quality of fiber & optical assets. This position is highly visible, situated in an area of significant and growing investment for Microsoft, and offers substantial opportunities for technical and career advancement. This position places you at the cutting edge of the AI network revolution, merging infrastructure design and expansion to support AI initiatives with the deployment of AI-based software tools for network buildout and operations.
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.
Responsibilities
- 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. Create comprehensive design documents that detail the architectural blueprint for optical solutions optimized for AI applications.
- Performs testing and validation of network devices, firmware, and configurations; defines and implements test cases with automation tools and exposes test coverage gaps.
- Optical Systems Testing and Validation: Conduct rigorous testing and validation of optical grey and WDM transceivers, transponders and line systems. Utilize automation tools to establish test cases, and identify gaps in test coverage, ensuring the transceivers' high-performance compatibility with AI applications.
- Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate.
- Operational Efficiency: Integrate state-of-the-art AI based software tooling into our operations and change management frameworks to ensure we always have the highest quality dark fiber assets possible.
- Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
- 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
Qualifications Required 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, automation, delivering designs into production and take live site accountability 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.
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:
- 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+ years of technical experience with a focus on optical transceiver design, validation, and testing utilizing coherent, direct-detection, and WDM technologies
#azurecorejobs
Cloud Network Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Microsoftについて

Microsoft
PublicMicrosoft Corporation is an American multinational technology conglomerate headquartered in Redmond, Washington.
10,001+
従業員数
Redmond
本社所在地
$3000B
企業価値
レビュー
10件のレビュー
4.4
10件のレビュー
ワークライフバランス
3.2
報酬
4.1
企業文化
4.3
キャリア
3.8
経営陣
4.0
82%
知人への推奨率
良い点
Cutting-edge technology and innovative projects
Great team culture and collaborative atmosphere
Excellent benefits and competitive compensation
改善点
Heavy workload and frequent overtime
High expectations and stressful environment
Bureaucratic processes can be slow
給与レンジ
5,620件のデータ
Senior/L5
Senior/L5 · Account Management
5件のレポート
$209,483
年収総額
基本給
$181,941
ストック
-
ボーナス
-
$194,895
$209,483
面接レビュー
レビュー1件
難易度
4.0
/ 5
期間
14-28週間
体験
ポジティブ 0%
普通 0%
ネガティブ 100%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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