[SO] Packaging Design and Optimization Engineer (Chinese Speaking)
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Design and implement solutions for Azure's cloud migration, protection, and recovery capabilities, working with distributed systems and sovereign cloud environments. The role requires a bachelor's degree in computer science and two-plus years of coding experience in languages like C++, C#, Java, or Python. You'll own complex technical problems across multiple engineering teams, drive operational excellence, and support mission-critical government workloads. Requires active U.S. Top Secret clearance with SCI access and U.S. citizenship verification. Base pay ranges from $102,100 to $202,200 annually, or $133,800 to $219,200 in Bay Area and New York City.
Written from this posting by Neural Jobs AI. The full description is below.
What if your work helped organizations move to the cloud, protect their most critical workloads, and recover when it matters most?
Our team is responsible for some of Azure's most important resiliency and recovery capabilities, helping customers migrate to Azure, safeguard their applications and data, automate operations at scale, and maintain business continuity in the face of unexpected events. We operate in sovereign and air-gapped cloud environments, solving unique engineering challenges that do not exist in traditional public cloud offerings.
As a team member, you'll work at the intersection of cloud infrastructure, resiliency, reliability, and large-scale distributed systems. You'll partner across Azure Compute and Microsoft engineering teams to solve complex technical problems, improve service health, drive operational excellence, and deliver capabilities that support mission-critical government workloads.
We're looking for engineers who are energized by taking ownership, driving problems to resolution, and making systems better than they found them. The ideal candidate is curious, action-oriented, and thrives in an environment where collaboration, initiative, and technical leadership are highly valued. You'll have opportunities to influence engineering decisions, work across organizational boundaries, and see the direct impact of your work on customers and services that matter.
Most importantly, you'll join a team that genuinely enjoys working together. We value learning, mentorship, technical excellence, and supporting one another while tackling some of Azure's most challenging and meaningful problems.
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.
* Design and implement solutions that improve the migration, protection, recovery, and operational experience of workloads running in Azure, with a focus on availability, disaster recovery, and automation.
* Lead investigations into complex service issues, analyze system and operational data to determine root cause, and translate lessons learned into engineering investments that improve platform health and customer outcomes.
* Partner with teams across Azure to identify dependencies, remove blockers, influence technical direction, and deliver capabilities to sovereign and air-gapped cloud environments.
* Champion operational excellence by improving service observability, incident readiness, resiliency validation, and recovery processes for mission-critical workloads.
Required Qualifications:
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:
Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 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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