Senior Software Engineering Jobs at Microsoft with Visa Sponsorship
Senior Software Engineering jobs at Microsoft span cloud infrastructure, AI, developer tools, and enterprise platforms, with a well-established visa sponsorship process that covers multiple work visa categories. If you're targeting a senior engineering role here, the company has the legal infrastructure and institutional experience to support your immigration path.
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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 Senior Software Engineering Jobs at Microsoft
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Software Engineering Jobs at Microsoft.
Get Access To All JobsTips for Finding Senior Software Engineering Jobs at Microsoft
Align your portfolio to Microsoft's engineering pillars
Microsoft's senior engineering roles cluster around Azure, Microsoft 365, AI platforms, and developer tooling. Framing your experience around distributed systems, large-scale cloud services, or AI infrastructure makes your application immediately legible to their recruiting teams.
Prepare for a multi-round systems design process
Microsoft's senior engineering interviews typically include multiple systems design rounds and behavioral interviews using the STAR method. Having concrete examples of owning end-to-end architecture decisions at scale strengthens your case before sponsorship conversations even begin.
Understand which visa category fits your background
Microsoft sponsors H-1B, E-3, and H-1B1 visas for senior engineers. If you're Australian, the E-3 bypasses the H-1B lottery entirely. Knowing which category applies to you before your offer stage prevents delays when the legal team starts the filing process.
Target roles that include explicit sponsorship language
Search for Senior Software Engineering openings at Microsoft on Migrate Mate, which filters specifically for verified sponsoring employers. Roles listed with sponsorship availability signal that the hiring team is already aligned with the company's immigration legal process.
Time your application around the H-1B registration window
If you need H-1B sponsorship, USCIS registration opens in March for an October 1 start date. Joining Microsoft's hiring pipeline by January or February gives their legal team enough lead time to file your registration before the window closes.
Request clarity on LCA filing timelines during the offer stage
Microsoft's immigration team files the Labor Condition Application with the DOL before your H-1B or E-3 petition can proceed. Confirming the expected LCA certification timeline during offer negotiation helps you plan your start date and manage any visa transition gaps.
Frequently Asked Questions
Does Microsoft sponsor H-1B visas for Senior Software Engineers?
Yes, Microsoft sponsors H-1B visas for Senior Software Engineering roles as part of its standard hiring process. The company has a dedicated immigration legal team that manages filings, including the required Labor Condition Application with the DOL and the I-129 petition with USCIS. If you're subject to the H-1B lottery, Microsoft typically coordinates registration in March for an October 1 cap-subject start date.
Which visa types does Microsoft commonly use for Senior Software Engineering roles?
Microsoft sponsors H-1B, E-3 visa, and H-1B1 visas for Senior Software Engineering positions, along with immigrant visa pathways including EB-2 and EB-3 Green Card sponsorship. Australian citizens can use the E-3 visa, which has no lottery and is generally faster to obtain. Canadian and Mexican nationals may qualify for the H-1B1 or TN visa categories, depending on their specific role and background.
What qualifications and experience does Microsoft expect for Senior Software Engineering roles?
Microsoft's Senior Software Engineering roles typically require a bachelor's degree or higher in computer science, software engineering, or a closely related field, along with several years of professional engineering experience. Strong candidates demonstrate hands-on ownership of large-scale systems, proficiency in one or more systems programming languages, and experience with cloud infrastructure. Domain expertise in Azure, AI, or distributed systems is a meaningful differentiator at the senior level.
How do I apply for Senior Software Engineering jobs at Microsoft?
Start by browsing open Senior Software Engineering roles on Migrate Mate, which surfaces verified Microsoft positions that include visa sponsorship. Once you identify a role, apply directly through Microsoft's careers portal and tailor your resume to the specific engineering domain. Microsoft's hiring process typically includes a recruiter screen, technical phone screens, and a virtual or on-site loop with systems design and behavioral rounds.
How long does the visa sponsorship process take for a Microsoft Senior Software Engineering offer?
Timeline depends on your visa category. For H-1B cap-subject cases, the process runs roughly six to nine months from registration to a legal start date. E-3 and H-1B1 visa consular cases can move faster, often four to ten weeks after your offer is finalized and the LCA is certified by the DOL. Microsoft's immigration team typically initiates the LCA filing within a few weeks of your offer acceptance.