Staff Software Engineer Jobs at Microsoft with Visa Sponsorship
Staff Software Engineer jobs at Microsoft sit at the principal-level of the individual contributor track, typically owning complex distributed systems or platform-wide technical direction. Microsoft has a well-established sponsorship process for engineering roles and works with applicants across multiple visa categories to secure long-term work authorization.
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Microsoft is a company where passionate innovators come to collaborate, envision what can be, and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.
The CoreAI organization at Microsoft builds the end-to-end AI stack and is core to Azure AI innovation and differentiation, as well as all of Microsoft’s flagship products, from GitHub, to Office, Teams, and Xbox. We are the team building Responsible AI, Azure OpenAI, Model as a Service, Azure ML, Cognitive Services, and the global Azure AI infrastructure for running the largest AI workloads on the planet. We do not just value differences or different perspectives, we seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served. Within CoreAI, the Foundry team empowers builders around the world of all skill levels to easily create AI apps.
The Responsible AI group focuses on identifying, measuring, mitigating, and monitoring Responsible AI risks in AI-generated and human-generated content spanning text, image, audio, video, and multimodal content. We are looking for a Principal Software Engineer - Responsible AI who is passionate about building customer-facing AI services with scalable and sustainable architecture and implementation and with high performance, low latency, and high availability. In this role, you will work with a unique group of talented engineers, scientists, and product managers to build the industry's best Responsible AI services. You will own the design of new AI services and integration with existing services such as Azure AI Content Safety, Azure OpenAI Service, Azure AI Studio, and more.
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.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Responsibilities
- Design and develop large-scale distributed cloud services and solutions with a focus on high availability, scalability, robustness, and observability.
- Lead project development across the organization and work with subject matter experts and stakeholders to drive development and release plans.
- Take end-to-end responsibility for the development lifecycle and production readiness of the services you build and drive the team’s DevOps culture.
- Drive and uphold the best practices of modern software engineering through code and design reviews and take effective service decisions based on data and telemetry.
- Understand Microsoft businesses and collaborate with stakeholders towards cohesive, end-to-end experiences for Microsoft customers.
- Embrace a growth mindset and stay up to date with the current and state-of-the-art technologies to improve customer experience and better serve the product’s business needs.
Qualifications
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
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/Additional Qualifications
- 4+ years of technical engineering experience designing and delivering highly available, large-scale cloud services and distributed systems.
- 2+ years of technical engineering experience with machine learning model development, release, and operations.
- Demonstrate depth of knowledge and understanding of software architecture, design tradeoffs, and practices of mature DevOps culture.
- Experience using appropriate artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC) in a disciplined manner.
- Experience in any one or more of the following areas:
- Safety and governance platforms for AI models and agents
- Inference, routing, orchestration, and policy enforcement systems
- Evaluation, red teaming, and monitoring infrastructure for AI systems
- Deployment automation, CI/CD, and compliance tooling (e.g., zero-manual-effort deployments)
- Multimodal safety infrastructure (image, video, audio, provenance)
- Agent governance and control-plane capabilities
Compensation
Software 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 $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Software Engineering IC5 - 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:
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
Microsoft is a company where passionate innovators come to collaborate, envision what can be, and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.
The CoreAI organization at Microsoft builds the end-to-end AI stack and is core to Azure AI innovation and differentiation, as well as all of Microsoft’s flagship products, from GitHub, to Office, Teams, and Xbox. We are the team building Responsible AI, Azure OpenAI, Model as a Service, Azure ML, Cognitive Services, and the global Azure AI infrastructure for running the largest AI workloads on the planet. We do not just value differences or different perspectives, we seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served. Within CoreAI, the Foundry team empowers builders around the world of all skill levels to easily create AI apps.
The Responsible AI group focuses on identifying, measuring, mitigating, and monitoring Responsible AI risks in AI-generated and human-generated content spanning text, image, audio, video, and multimodal content. We are looking for a Principal Software Engineer - Responsible AI who is passionate about building customer-facing AI services with scalable and sustainable architecture and implementation and with high performance, low latency, and high availability. In this role, you will work with a unique group of talented engineers, scientists, and product managers to build the industry's best Responsible AI services. You will own the design of new AI services and integration with existing services such as Azure AI Content Safety, Azure OpenAI Service, Azure AI Studio, and more.
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.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Responsibilities
- Design and develop large-scale distributed cloud services and solutions with a focus on high availability, scalability, robustness, and observability.
- Lead project development across the organization and work with subject matter experts and stakeholders to drive development and release plans.
- Take end-to-end responsibility for the development lifecycle and production readiness of the services you build and drive the team’s DevOps culture.
- Drive and uphold the best practices of modern software engineering through code and design reviews and take effective service decisions based on data and telemetry.
- Understand Microsoft businesses and collaborate with stakeholders towards cohesive, end-to-end experiences for Microsoft customers.
- Embrace a growth mindset and stay up to date with the current and state-of-the-art technologies to improve customer experience and better serve the product’s business needs.
Qualifications
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
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/Additional Qualifications
- 4+ years of technical engineering experience designing and delivering highly available, large-scale cloud services and distributed systems.
- 2+ years of technical engineering experience with machine learning model development, release, and operations.
- Demonstrate depth of knowledge and understanding of software architecture, design tradeoffs, and practices of mature DevOps culture.
- Experience using appropriate artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC) in a disciplined manner.
- Experience in any one or more of the following areas:
- Safety and governance platforms for AI models and agents
- Inference, routing, orchestration, and policy enforcement systems
- Evaluation, red teaming, and monitoring infrastructure for AI systems
- Deployment automation, CI/CD, and compliance tooling (e.g., zero-manual-effort deployments)
- Multimodal safety infrastructure (image, video, audio, provenance)
- Agent governance and control-plane capabilities
Compensation
Software 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 $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Software Engineering IC5 - 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:
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 Staff Software Engineer Jobs at Microsoft
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Staff Software Engineer Jobs at Microsoft.
Get Access To All JobsTips for Finding Staff Software Engineer Jobs at Microsoft
Align your portfolio to Microsoft's engineering scale
Microsoft evaluates Staff Software Engineers on system design at scale, not just coding ability. Document projects where you owned architecture decisions across large distributed systems. Concrete examples of scope and impact matter more than credentials alone.
Target teams with established sponsorship pipelines
Teams inside Azure, Microsoft 365, and GitHub consistently hire at the Staff level and have well-worn sponsorship workflows. Applying through teams with recurring senior engineering needs reduces the risk of your offer stalling at the approval stage.
Clarify visa type early in recruiter conversations
Microsoft sponsors multiple visa categories for this role, including H-1B, E-3, and H-1B1 visa. If you hold Australian or Chilean or Singaporean citizenship, ask your recruiter explicitly about E-3 or H-1B1 pathways, which bypass the H-1B lottery entirely.
Time your application around H-1B registration windows
If you need H-1B sponsorship, USCIS registration opens each March for an October 1 start date. Microsoft cannot file a cap-subject H-1B outside that window, so plan offer timelines accordingly to avoid a 12-month wait for the next cycle.
Prepare credential documentation before the offer stage
Microsoft's immigration team will need degree certificates, transcripts, and a detailed employment history for the visa petition. Gather official translated copies early. Delays in credential verification are a common reason petitions miss filing deadlines.
Use Migrate Mate to find open Staff Software Engineer roles
Filtering for visa-sponsoring companies at the Staff level takes time manually. Migrate Mate surfaces Microsoft's open Staff Software Engineer positions alongside sponsorship history, so you can prioritize applications where sponsorship is already confirmed for this role.
Frequently Asked Questions
Does Microsoft sponsor H-1B visas for Staff Software Engineers?
Yes, Microsoft sponsors H-1B visas for Staff Software Engineers. The process follows the standard USCIS cap-subject timeline, with registration each March and an October 1 start date. Microsoft works with in-house immigration counsel and external firms to handle petitions, so the process is well-structured once you have an offer in hand.
Which visa types does Microsoft commonly use for Staff Software Engineers?
Microsoft sponsors H-1B visas for most nationalities, but also files E-3 visa petitions for Australian citizens and H-1B1 visa petitions for citizens of Chile and Singapore. Both the E-3 visa and H-1B1 are cap-exempt, meaning they don't require lottery selection and can be filed year-round, which gives those applicants a significant timeline advantage.
What qualifications does Microsoft expect for a Staff Software Engineer?
Microsoft's Staff Software Engineer level generally requires a bachelor's degree in computer science or a related field, plus substantial experience leading technical design across large systems. Interviewers assess system design, cross-team influence, and engineering judgment at scale. A master's or PhD can accelerate level placement but is not required.
How do I apply for Staff Software Engineer jobs at Microsoft?
You can browse open Staff Software Engineer positions on Migrate Mate, which filters for roles where Microsoft is actively sponsoring visas. From there, applications go through Microsoft's careers portal. Tailor your resume to reflect system ownership and cross-functional impact, as those are the signals Microsoft's recruiting team screens for at the Staff level.
How do I understand the timeline from offer to visa approval at Microsoft?
After an offer is signed, Microsoft's immigration team initiates the Labor Condition Application with the DOL, which typically takes seven business days. For H-1B, the full USCIS petition review runs three to five months in standard processing, or two to three weeks with premium processing. E-3 and H-1B1 visa petitions can be filed and approved faster since they aren't lottery-dependent.