Cloud Software Engineer Jobs at Microsoft with Visa Sponsorship
Cloud Software Engineer roles at Microsoft span Azure infrastructure, distributed systems, and platform engineering at global scale. Microsoft has a well-established sponsorship process for this function, working with engineers across H-1B, E-3, and immigrant visa pathways to bring technical talent onto its cloud teams.
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Overview
Do you want to build a foundational platform that powers global AI experiences across languages? You will join the Azure AI Translation and Language team, developing large-scale distributed systems that enable reliable, high-performance translation and language services used across Microsoft products including infrastructure supporting large-scale model inference workloads. Our platform underpins real-time communication for millions of users worldwide.
As a Principal Software Development Engineer, you will lead the design and evolution of core infrastructure systems that support Azure AI translation and language services at scale. You’ll work on high-impact challenges across distributed systems, service reliability, and platform architecture. This role offers opportunities to shape foundational systems, drive engineering excellence, and operate in a flexible hybrid work environment.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.
Responsibilities
- Lead the design and implementation of large-scale, distributed systems that power Azure AI translation and language services.
- Define and evolve platform architecture for high availability, scalability, and performance across global deployments.
- Drive improvements in reliability, fault tolerance, and operational excellence for mission-critical services.
- Build and enhance core infrastructure components such as service orchestration, workload management, and data pipelines.
- Establish best practices for service observability, monitoring, alerting, and incident response.
- Collaborate with partner teams (including applied science and product teams) to enable robust and scalable service integrations.
- Mentor engineers and set a high bar for system design, code quality, and engineering rigor across the team.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Computer Science, Engineering, or related field AND 6+ years of software development experience with coding in languages including, but not limited to, C, C++, C#, Java, or Rust
- 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:
- 5+ years of experience designing and building large-scale distributed systems or cloud infrastructure.
- Experience building and operating highly available services with strict requirements for latency, scalability, and reliability.
- Experience with cloud platforms (e.g., Azure) and service-oriented or microservices architectures.
- Experience building infrastructure for AI/ML services, such as model serving platforms, data processing systems, or training pipelines.
- Experience with system performance optimization, capacity planning, and cost-efficiency at scale.
- Experience designing globally distributed systems and handling multi-region deployments.
- Experience with reliability engineering practices, including incident management and postmortem analysis.
- Programming experience in Python.
- Master’s or PhD in Computer Science, Engineering, or related field.
Compensation
- The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 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.

Overview
Do you want to build a foundational platform that powers global AI experiences across languages? You will join the Azure AI Translation and Language team, developing large-scale distributed systems that enable reliable, high-performance translation and language services used across Microsoft products including infrastructure supporting large-scale model inference workloads. Our platform underpins real-time communication for millions of users worldwide.
As a Principal Software Development Engineer, you will lead the design and evolution of core infrastructure systems that support Azure AI translation and language services at scale. You’ll work on high-impact challenges across distributed systems, service reliability, and platform architecture. This role offers opportunities to shape foundational systems, drive engineering excellence, and operate in a flexible hybrid work environment.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.
Responsibilities
- Lead the design and implementation of large-scale, distributed systems that power Azure AI translation and language services.
- Define and evolve platform architecture for high availability, scalability, and performance across global deployments.
- Drive improvements in reliability, fault tolerance, and operational excellence for mission-critical services.
- Build and enhance core infrastructure components such as service orchestration, workload management, and data pipelines.
- Establish best practices for service observability, monitoring, alerting, and incident response.
- Collaborate with partner teams (including applied science and product teams) to enable robust and scalable service integrations.
- Mentor engineers and set a high bar for system design, code quality, and engineering rigor across the team.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Computer Science, Engineering, or related field AND 6+ years of software development experience with coding in languages including, but not limited to, C, C++, C#, Java, or Rust
- 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:
- 5+ years of experience designing and building large-scale distributed systems or cloud infrastructure.
- Experience building and operating highly available services with strict requirements for latency, scalability, and reliability.
- Experience with cloud platforms (e.g., Azure) and service-oriented or microservices architectures.
- Experience building infrastructure for AI/ML services, such as model serving platforms, data processing systems, or training pipelines.
- Experience with system performance optimization, capacity planning, and cost-efficiency at scale.
- Experience designing globally distributed systems and handling multi-region deployments.
- Experience with reliability engineering practices, including incident management and postmortem analysis.
- Programming experience in Python.
- Master’s or PhD in Computer Science, Engineering, or related field.
Compensation
- The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 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.
See all 139+ Cloud Software Engineer at Microsoft jobs
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Get Access To All JobsTips for Finding Cloud Software Engineer Jobs at Microsoft Jobs
Align your credentials to Azure engineering expectations
Microsoft's cloud teams prioritize depth in distributed systems, Kubernetes, and Azure-native tooling. Before applying, ensure your resume reflects hands-on infrastructure or platform engineering work, not just general software development.
Target Microsoft's cloud platform and Azure org specifically
Microsoft's Azure organization posts Cloud Software Engineer roles separately from its broader engineering headcount. Filter job searches by the Azure or Cloud and AI division to find teams actively hiring for this function rather than browsing the full Microsoft careers portal.
Prepare for a long H-1B timeline if you are cap-subject
If you need a new H-1B and are not currently in status, the cap registration window opens in March and work authorization does not begin until October 1. Structure your job search timeline around that gap so an offer does not stall your plans.
Use Migrate Mate to find open Cloud Software Engineer roles at Microsoft
Hunting for sponsorship-confirmed openings manually is slow. Migrate Mate filters Microsoft's Cloud Software Engineer listings by visa type so you can focus your applications on roles where your status is already a match.
Understand how PERM fits into Microsoft's Green Card process
Microsoft typically initiates PERM labor certification for EB-2 and EB-3 green card sponsorship after you have established performance in role. Knowing the DOL PERM timeline, which can run 12 to 18 months before an I-140 petition, helps you evaluate long-term stability when comparing offers.
Cloud Software Engineer at Microsoft jobs are hiring across the US. Find yours.
Find Cloud Software Engineer at Microsoft JobsFrequently Asked Questions
Does Microsoft sponsor H-1B visas for Cloud Software Engineers?
Yes, Microsoft sponsors H-1B visas for Cloud Software Engineers and has a dedicated immigration team that manages the process internally. If you are cap-subject, your employer files the H-1B registration in March and work cannot begin until October 1 of that year. Cap-exempt scenarios, such as transfers from a qualifying research institution, follow a different timeline.
How do I apply for Cloud Software Engineer jobs at Microsoft?
Applications go through Microsoft's careers portal, where you can filter by role title and division. The Azure and Cloud and AI organizations post the majority of Cloud Software Engineer openings. You can also browse sponsorship-confirmed listings through Migrate Mate, which filters Microsoft's open roles by visa type so you can identify positions that match your current status before applying.
Which visa types does Microsoft commonly use for Cloud Software Engineer roles?
Microsoft sponsors H-1B, H-1B1, and E-3 visas for nonimmigrant work authorization in this role. For permanent residence, the company uses EB-2 and EB-3 classifications, typically initiated through PERM labor certification after the employee has been in role for a period. Australian citizens and Chilean and Singaporean nationals have dedicated visa categories that avoid the H-1B lottery entirely.
What qualifications does Microsoft expect for Cloud Software Engineer roles?
Microsoft generally expects a bachelor's degree or higher in computer science, software engineering, or a related field, which also satisfies the specialty occupation requirement for H-1B and E-3 purposes. For Cloud Software Engineer positions specifically, hands-on experience with distributed systems, cloud-native architecture, and platforms such as Azure, Kubernetes, or large-scale storage systems carries significant weight in the interview loop.
How do I time a visa transfer or new sponsorship around a Microsoft offer?
If you hold an H-1B with another employer, Microsoft can file an H-1B transfer petition, and you can begin work as soon as USCIS receives the petition, without waiting for approval. If you are on OPT, confirm your expiration date against the H-1B October 1 start date and assess whether a STEM OPT extension bridges the gap. Raising these timelines with the recruiter early prevents last-minute complications.
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