Senior Embedded Software Engineer
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We are looking for a Senior Cloud Network Engineer to join a fast-paced team and solve complex problems in the domain of mission-critical distributed systems spanning data transmission across clouds. Our team works across all facets of isolated system engineering but we are responsible for a large diversity of technologies and challenges, including process automation, Wide Area networking design, operations and implementation, physical fiberoptic cables, how to route packets across a global network as fast as possible, DNS, protection against DDoS, and many other problems.
We need your help overcoming these challenges. In this role, you will have the opportunity to automate, build, deploy and support systems which enable a broad set of Azure services to be consumed by customers in a highly secure and regulated industry. The systems you help support are required to meet strict security policy and assurance requirements of both public and private sector customers. We’re looking for engineers and leaders passionate about delivering value to customers in mission critical environments and eager to take on a fantastic opportunity that offers technical and career growth with Microsoft.
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.
Maintain & Operate Networks
Network Design and Implementation
Supporting People and Execution
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 4+ years technical experience in network design, development, and automation OR equivalent experience.
Other Requirements:
Security Clearance Requirements: Candidates must be able 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:
Preferred Qualifications:
Cloud Network Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 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 builds Windows, Azure, Office and the Copilot family of AI assistants, and operates one of the largest AI training and inference fleets in the world. Microsoft Research and the AI platform teams work across foundation models, systems for large-scale training, and applied ML in every product line.
Founded in 1975 and headquartered in Redmond, Washington, the company is also OpenAI's principal compute partner and ships AI tooling for developers through GitHub, VS Code and Azure AI.
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