Overview

The AI Frameworks team at Microsoft develops the AI software used to train and deploy the world’s most advanced AI models. We build state-of-the-art AI compilers and design new AI programming abstractions for Microsoft’s next-generation supercomputers and the Maia-200 AI accelerator. Our interdisciplinary team operates at the intersection of compiler engineering, programming language design, algorithmic innovation, AI, and high-performance computing. Our culture is highly collaborative and we regularly partner with hardware architects, platform engineers, researchers, and other groups across Microsoft. We also participate in the open-source community.

We are seeking talented and collaborative Software Engineers to join our AI Compiler group. This is a unique opportunity to join a dynamic team, working on cutting-edge technology that has a direct impact on every Microsoft business.

Employees who live within 50 miles of Redmond, Mountain View, Boston, and NYC are expected to be in the office 3 days a week. Employees who live more than 50 miles from a Microsoft hub may work fully remotely.

Responsibilities

As a Software Engineer on the AI Compilers team you will have the opportunity to work on the following:

• Invent and implement innovative compiler features and advanced optimization passes, leveraging tools such as LLVM, MLIR, Torch Dynamo, and Triton.
• Develop code generation techniques for new hardware platforms.
• Design and develop cutting edge AI software in C++ and Python.
• Optimize AI workloads.
  Design new programming abstractions for AI.
• Collaborate broadly across multiple disciplines from hardware architects to ML developers.
• Identify requirements, plan and design solutions, estimate effort, and schedule deliverables.
• Help establish and drive the adoption of outstanding coding standards and patterns and help enhance our inclusive engineering culture.
• Embody Microsoft's culture and values

Qualifications

Required Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, or Python 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

• Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, or Python OR equivalent experience.
• Master’s Degree or PhD in Computer Science or related technical field AND 3+ years technical software engineering experience OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical software engineering experience OR equivalent experience.
• 3+ years experience programming in C/C++.
• 1+ years experience with optimized systems‑level programming.
• Experience building compilers, using compiler frameworks like LLVM/MLIR, OR experience optimizing AI/numerical workloads, OR experience in numerical high-performance computing.
• Experience with AI frameworks, AI inference systems, AI kernel development, and AI workload optimization.

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Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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

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:
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.

Overview

Microsoft’s mission is to empower every person and every organization to achieve more. The One Engineering System (1ES) team within CoreAI builds and operates the engineering platforms that power Microsoft’s internal development ecosystem at global scale.

We are looking for a Principal Product Manager - DevOps AI - CoreAI with a focus on DevOps AI to lead crosscutting platform investments that improve how Microsoft engineers build, ship, and operate software using AI—safely, reliably, and at scale. This role sits at the intersection of DevOps platforms, AI systems, and enterprise grade governance, and focuses on turning AI assisted development into a trusted, end-to-end capability across the engineering lifecycle.

This is a platform leadership role. You will drive investments across teams to reduce developer toil, accelerate iteration, and improve outcomes—while ensuring AI assisted workflows meet Microsoft’s standards for security, reliability, compliance, and operational excellence.

Responsibilities

• Drive crosscutting platform investments across the GitHub / Azure DevOps / 1ES ecosystem, with a focus on AI assisted developer productivity across the full engineering lifecycle (inner loop,CI/CD ,operations, governance).
• Identify high leverage opportunities where AI can meaningfully reduce friction and toil for developers while improving quality, reliability, and consistency of outcomes.
• Define clear problem statements, product bets, and success metrics that balance speed of iteration with trust, safety, and operational requirements.
• Operate in a startup mode, moving quickly from hypothesis to MVP to scaled rollout through rapid experimentation and iteration.
• Partner closely with engineering, security, compliance, privacy, and AI platform teams to ensure solutions are production ready and scalable, not experimental or one off.
• Drive execution across multiple systems and teams in a highly matrixed environment, influencing roadmaps and priorities without direct authority.
• Ensure AI assisted workflows are designed end-to-end, with clear ownership, feedback loops, and failure modes—not isolated point solutions.
• Use data, developer feedback, and operational signals to evaluate impact and continuously improve platform investments.
• Act as a thought partner to engineering and leadership teams on how AI should be applied responsibly within Microsoft’s engineering system.

Qualifications

Required/Minimum Qualifications:

• Bachelor's Degree AND 8+ years experience in product/service/program management or software development 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/Additional Qualifications:

• 10+ years of product management experience building and shipping platform, infrastructure, or developer tooling products.
• Proven experience working across multiple teams and systems to deliver outcomes in complex, highly matrixed organizations.
• Ability to define and drive ambiguous problem spaces, turning strategy and research into concrete, actionable product investments.
• Experience with AI assisted developer workflows, automation, or intelligent systems applied to software engineering.
• Understanding of developer workflows and DevOps systems, including build, test, release, and operational feedback loops.
• Excellent communication and stakeholder management skills, with the ability to align diverse partners around shared goals, tradeoffs, and success metrics.
• Familiarity with enterprise requirements around security, compliance, privacy, and reliability, especially in largescale engineering environments.
• Background working with or supporting large engineering organizations where platform decisions have broad, longterm impact.
• Track record of delivering improvements that are measured not just by feature adoption, but by sustained gains in developer efficiency, quality, and trust.

Product Management 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:
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.

Overview

Does building hyperscale solutions to manage and scale out infrastructure and capacity across multiple clouds, both public and government-owned intrigue you? The OneFleet team owns anything and everything required to take hardware and make it usable up to the point that a customer workload can land on that new capacity and manage its lifecycle. You can support both the national security mission of the US government as well as demands of the burgeoning public Azure cloud simultaneously on the OneFleet team.

As a Software Engineer II in Microsoft Azure’s OneFleet team, you will help build out hyperscale solutions to solve the most pressing problem – how to add and manage capacity in a fully automated fashion that works across multiple clouds. You will perform full-stack, though emphasis on backend, engineering in order to support new types of capacity, everything from AI to supercomputing. Your software will run on many millions of machines to provide the heartbeat of the cloud. This opportunity will allow you to hone your engineering skills, architect at a global scale, and drive the national security mission of the US government. This opportunity allows a hybrid work environment wherein you can work part of the time from home. It is possible to be almost fully remote except for work being done in the secure spaces as required for the US government clouds.

Responsibilities

AI-Native Development

• Uses appropriate artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC) in a disciplined manner. Takes responsibility for the content of their AI-generated changes to artifacts, reviewing all changes and applying appropriate tooling and processes with minimal guidance.

Coding

• Supports efforts to use debugging, tests, tools, logs, telemetry, and other methods to proactively verify assumptions before issues occur for product features in production. Conducts incident retrospectives to identify root causes of problems, implements repair actions, and identifies mechanisms to prevent incident recurrence with minimal supervision. Under minimal guidance, applies least-access principles, and uses logging, telemetry, and other appropriate mechanisms to investigate issues while retaining privacy and security.

• Reviews product feature code and test code to ensure it meets team standards, contains the correct test coverage, and is appropriate for the product feature. Contributes to bringing insight to code reviews to help improve code quality, coaching and providing feedback to develop other engineers' skills with minimal guidance. Contributes to code reviews in a timely fashion that helps accelerate the pace of development on the team. Considers diagnosability, reliability, testability, and maintainability when reviewing code and understands when code is ready to be shared or delivered. Applies and reviews for coding patterns, security risks, compliance issues, and best practices in code reviews. Uses automated source code analysis tools that are incorporated into the build/development process with minimal supervision.

• Creates and implements code for a product, service, or feature, reusing code as applicable with minimal supervision. Writes and learns to create code that is extensible and maintainable. Considers diagnosability, reliability, and maintainability with few defects, and understands when the code is ready to be shared and delivered. Applies coding patterns and best practices to write code (e.g., leveraging state-of-the-art generative artificial intelligence [GenAI], approaches to source code organization, naming conventions). Escalates identified blockers or unknowns during the development process, communicates how they will impact timelines, and contributes to identifying strategies and/or opportunities to address them with minimal supervision.

Design

• Understands and provides feedback for proposals for architecture, with technical leadership from others. With minimal supervision, tests and explores various design options for a product/solution feature, outlining strengths and weaknesses of each option. Collaborates with architects with minimal supervision to build and modify a product/solution feature, providing feedback as needed. Begins to own or collaborate with other engineers on the architecture of solutions, following technical leadership as applicable. Contributes to the development of design documents that support user stories and other product requirements with oversight. Develops an awareness of the current technology landscape. Escalates and shares findings from investigations with the team and owns some design decisions. Helps to ensure system architecture and individual designs meet performance, scalability, resiliency, cost of goods sold (COGS), and other requirements and expectations. Upholds Microsoft standards of security, privacy, and other compliance requirements and expectations. Understands the importance of building solutions that expand upon the work of others. Contributes to the refinement of product features by escalating findings from analyses to inform decisions regarding the engineering of products.

• Creates a clear test strategy that ensures solution quality, prevents regression from being introduced into existing code with minimal supervision. Executes test plans that incorporate security testing to validate security invariants (including negative cases) with minimal supervision. Adds new tests to cover gaps, deleting or fixing broken tests, improving the speed, reliability, and defect localization of tests in the feature area. Builds testable code and considers testability during design for a set of features with minimal guidance. Understands the different types of tests that can be done on a particular system (e.g., unit tests), and maintains up-to-date understanding of testing architectures used both across Microsoft and across the industry. Leverages artificial intelligence (AI) tools for test automation with minimal supervision.

• Contributes to identifying dependencies, and incorporates them into the development of design documents for a product area with little oversight. Helps to actively identify other teams and technologies to leverage, how they interact, and where their own system or team can support others. Understands downstream interactions between systems. Contributes to collaborating with other teams to reach common goals where dependencies and validation concerns overlap.

Engineering Excellence

• Contributes to the identification of requirements for, and development of automation within production and deployment of a complex product feature, targeting zero-touch deployment when possible. Runs code in simulated, or other non-production environments to confirm functionality and error-free runtime for products with little to no oversight.

• Applies best practices to build code based on well-established methods and secure design principles while also applying best practices for new code development and formal validation of security invariants. Follows best practices for product development and scaling to customer requirements, and applies best practices for meeting scaling needs and performance expectations and security promises.

• Builds knowledge, shares new ideas, and shares pinpoints of engineering tool gaps to improve software developer tools to support easier, faster, and more effective software engineering for complex product features. Identifies whether open source or internal code is available to address coding needs for a set of product features, and reuses it in a responsible manner where applicable. Develops higher-level awareness of tools outside current areas of expertise. Helps to identify and/or create tools that are useful for building the product, determining if methods are still applicable for the current solution.

• Understands and applies security best practices and establishes code invariants to model "security as code," ensuring each layer is independently secure, and minimizing risk with minimal supervision. Adopts security standards for clear security code review practices for a set of product features that align with design and engineering principles to raise the security hardening for both protections and detections. Contributes to incorporating deployment gates on security controls, and scanners for a set of product features to prevent regressions and/or vulnerabilities that would have customer impact. Includes required security monitoring to ensure detection of violations with minimal guidance. With minimal supervision, works with relevant security partners to define security promises and security invariants while factoring in attacker/investigator personas for security monitoring and telemetry needs, ensure threat models and premortems validate upstream and downstream assumptions and security invariants, establish security breach drills and security incident response processes (e.g., impact analysis, containment), and ensure that artificial intelligence (AI) safety features are implemented for the AI production systems tied to a set of product features.

• Contributes to efforts to ensure the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility. Checks for visible evidence (e.g., audit trail) to demonstrate compliance for product areas. Develops and holds an understanding of the implications of onboarding new technologies following expectations of compliance at Microsoft. Demonstrates and maintains an up-to-date understanding of both global and local regulations for technologies and system applications to ensure regulations are met.

• Works with partner teams to ensure a set of product features work well with the components of the partner team with minimal supervision, contributing to efforts to ensure proper end-to-end testing, live-site coverage, scalability, performance, and DRI

Overview

Microsoft has an exciting opportunity for a Software Engineer in the Cloud+AI Silver Team. This team will be responsible for deploying and operating a Secure Work Area, including the infrastructure for collaboration within an airgapped environment. 

In this role, you will have the opportunity to work with engineers who enable a broad set of Azure services to be consumed by internal and external customers in highly secured and regulated industries. The systems and software you build will be required to meet the security policy and assurance requirements of both public and private sector customers.  

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. 

Responsibilities

AI-Native Development

• Uses appropriate artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC) in a disciplined manner. Takes responsibility for the content of their AI-generated changes to artifacts, reviewing all changes and applying appropriate tooling and processes with minimal guidance.

Coding

• Supports efforts to use debugging, tests, tools, logs, telemetry, and other methods to proactively verify assumptions before issues occur for product features in production. Conducts incident retrospectives to identify root causes of problems, implements repair actions, and identifies mechanisms to prevent incident recurrence with minimal supervision. Under minimal guidance, applies least-access principles, and uses logging, telemetry, and other appropriate mechanisms to investigate issues while retaining privacy and security.

• Reviews product feature code and test code to ensure it meets team standards, contains the correct test coverage, and is appropriate for the product feature. Contributes to bringing insight to code reviews to help improve code quality, coaching and providing feedback to develop other engineers' skills with minimal guidance. Contributes to code reviews in a timely fashion that helps accelerate the pace of development on the team. Considers diagnosability, reliability, testability, and maintainability when reviewing code and understands when code is ready to be shared or delivered. Applies and reviews for coding patterns, security risks, compliance issues, and best practices in code reviews. Uses automated source code analysis tools that are incorporated into the build/development process with minimal supervision.

• Creates and implements code for a product, service, or feature, reusing code as applicable with minimal supervision. Writes and learns to create code that is extensible and maintainable. Considers diagnosability, reliability, and maintainability with few defects, and understands when the code is ready to be shared and delivered. Applies coding patterns and best practices to write code (e.g., leveraging state-of-the-art generative artificial intelligence [GenAI], approaches to source code organization, naming conventions). Escalates identified blockers or unknowns during the development process, communicates how they will impact timelines, and contributes to identifying strategies and/or opportunities to address them with minimal supervision.

Design

• Understands and provides feedback for proposals for architecture, with technical leadership from others. With minimal supervision, tests and explores various design options for a product/solution feature, outlining strengths and weaknesses of each option. Collaborates with architects with minimal supervision to build and modify a product/solution feature, providing feedback as needed. Begins to own or collaborate with other engineers on the architecture of solutions, following technical leadership as applicable. Contributes to the development of design documents that support user stories and other product requirements with oversight. Develops an awareness of the current technology landscape. Escalates and shares findings from investigations with the team and owns some design decisions. Helps to ensure system architecture and individual designs meet performance, scalability, resiliency, cost of goods sold (COGS), and other requirements and expectations. Upholds Microsoft standards of security, privacy, and other compliance requirements and expectations. Understands the importance of building solutions that expand upon the work of others. Contributes to the refinement of product features by escalating findings from analyses to inform decisions regarding the engineering of products.

• Creates a clear test strategy that ensures solution quality, prevents regression from being introduced into existing code with minimal supervision. Executes test plans that incorporate security testing to validate security invariants (including negative cases) with minimal supervision. Adds new tests to cover gaps, deleting or fixing broken tests, improving the speed, reliability, and defect localization of tests in the feature area. Builds testable code and considers testability during design for a set of features with minimal guidance. Understands the different types of tests that can be done on a particular system (e.g., unit tests), and maintains up-to-date understanding of testing architectures used both across Microsoft and across the industry. Leverages artificial intelligence (AI) tools for test automation with minimal supervision.

• Contributes to identifying dependencies, and incorporates them into the development of design documents for a product area with little oversight. Helps to actively identify other teams and technologies to leverage, how they interact, and where their own system or team can support others. Understands downstream interactions between systems. Contributes to collaborating with other teams to reach common goals where dependencies and validation concerns overlap.

Engineering Excellence

• Contributes to the identification of requirements for, and development of automation within production and deployment of a complex product feature, targeting zero-touch deployment when possible. Runs code in simulated, or other non-production environments to confirm functionality and error-free runtime for products with little to no oversight.

• Applies best practices to build code based on well-established methods and secure design principles while also applying best practices for new code development and formal validation of security invariants. Follows best practices for product development and scaling to customer requirements, and applies best practices for meeting scaling needs and performance expectations and security promises.

• Builds knowledge, shares new ideas, and shares pinpoints of engineering tool gaps to improve software developer tools to support easier, faster, and more effective software engineering for complex product features. Identifies whether open source or internal code is available to address coding needs for a set of product features, and reuses it in a responsible manner where applicable. Develops higher-level awareness of tools outside current areas of expertise. Helps to identify and/or create tools that are useful for building the product, determining if methods are still applicable for the current solution.

• Understands and applies security best practices and establishes code invariants to model "security as code," ensuring each layer is independently secure, and minimizing risk with minimal supervision. Adopts security standards for clear security code review practices for a set of product features that align with design and engineering principles to raise the security hardening for both protections and detections. Contributes to incorporating deployment gates on security controls, and scanners for a set of product features to prevent regressions and/or vulnerabilities that would have customer impact. Includes required security monitoring to ensure detection of violations with minimal guidance. With minimal supervision, works with relevant security partners to define security promises and security invariants while factoring in attacker/investigator personas for security monitoring and telemetry needs, ensure threat models and premortems validate upstream and downstream assumptions and security invariants, establish security breach drills and security incident response processes (e.g., impact analysis, containment), and ensure that artificial intelligence (AI) safety features are implemented for the AI production systems tied to a set of product features.

• Contributes to efforts to ensure the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility. Checks for visible evidence (e.g., audit trail) to demonstrate compliance for product areas. Develops and holds an understanding of the implications of onboarding new technologies following expectations of compliance at Microsoft. Demonstrates and maintains an up-to-date understanding of both global and local regulations for technologies and system applications to ensure regulations are met.

• Works with partner teams to ensure a set of product features work well with the components of the partner team with minimal supervision, contributing to efforts to ensure proper end-to-end testing, live-site coverage, scalability, performance, and DRI escalation pathways are established before going live.

• Remains current in skills by investing time and effort into being informed of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale. Conducts learning and literary sessions to raise awareness

Overview

Microsoft Digital(MSD) builds and manages the critical products and services that Microsoft runs on. We boldly pursue big ideas that power transformational advances at Microsoft and for our customers, while helping Microsoft teams work smarter, faster, and more securely every day. Microsoft Digital employees have deep technical and business expertise, customer insights, and a clear point of view that comes from first-hand, large-scale experience with Microsoft and industry solutions. We are engineers, technology leaders and experts, digital transformation change agents, and customer advocates.

We have exciting opportunities for you to innovate, influence, transform, inspire, and grow within our organization and we encourage you to apply to learn more!

The Microsoft Infrastructure, Network and Tenant (MINT) engineering organization is for those technology professionals who want to be strategic partners to the business and be the first place to create innovative solutions using Microsoft and industry leading products and services. Unlike other enterprise organizations, MINT employees create global impact for thousands of partners and employees.

People working within Microsoft Infrastructure, Network and Tenant (MINT) team ensure Microsoft is maximizing productivity to its fullest, and therefore, helping lead the company’s digital transformation journey. We build flexible, reliable, enterprise-scalable solutions with Microsoft product teams – influencing products that customers use, enabling them to be more productive.

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.

MSD

MSDJOBS

MINTJOBS

Responsibilities

As a Cloud Network Engineer, you will be at the heart of Microsoft’s modern network engineering process, working in a team that manages Microsoft’s corporate hybrid hosting infrastructures, and enabling seamless connectivity, workload migrations to Azure. We are focused on solving the most interesting challenges of developing innovative solutions while ensuring service reliability through identifying and eradicating defects within the infrastructure. We are growing a strong, diverse team of engineers and have exciting opportunities for you to innovate, influence, transform, inspire, and grow within our organization and we encourage you to apply to learn more.

Network Design and Implementation

• You will apply Knowledge of Networks, Industry Trends, and Field Data towards implementation and operations.
• Hybrid connectivity / unified network fabric – You will translate high-level design into low-level design and collaboration.
• Design Reviews and Quality Assurance – You will participate or contribute to network design or code reviews.

Maintain and Operate Networks

• ​You will monitor, analyze & debug, and troubleshoot network infrastructure; participate in on-call/Designated Responsible Individual (DRI) duties and create root cause analysis for network incidents.
• Continuous Improvement, testing and validation of network components.
• Deployment Management – You will work within a team of engineers to manage network deployments, work with a machine-readable definition of the network deployment.
• You will troubleshoot network routing protocols (e.g., IPv4, IPv6, OSPF, BGP), TCP/UDP/HTTP(s), and overlay technologies such as EVPN, VXLAN, MLAG.
• You will build network and security management expertise to drive compliance against security objectives.

• You will demonstrate proficiency in Infrastructure as Code (IaC) practices. This includes the ability to:

• Design and manage deployment pipelines

• Author and maintain Bicep templates
• Handle pull request workflows effectively
• Deploy and update both new and existing cloud network infrastructure.
• In addition, your expertise in LLMs and SLMs will be considered a significant asset, bringing added value to the team’s innovation and automation capabilities.

Supporting People and Execution

• Collaboration – You will collaborate within and across teams by proactively sharing information with an appropriate level of detail for their audience; overcome obstacles by resolving conflicts and issues across interdependent teams and engage with partners and stakeholders so issues can be resolved, and mutual objectives are met.
• Mentorship / Development – You will be a mentor/mentee and provide feedback to other engineers, while also proactively seeking mentorship and feedback from others; share ideas and insights for improving team-oriented behaviors, including DevOps and live site handling skills.

Qualifications

Required Qualifications:

• 2+ years technical experience in network design, development, and automation
• OR Bachelor's Degree in Electrical Engineering, Optical Engineering, Computer Science, Engineering, Information Technology, or related field
• 2+ years of technical experience in network engineering which must include layer 2 analysis and troubleshooting TCP/IP routing & switching

Preferred Qualifications:

• 2+ years Scripting skills (Perl, Python, PowerShell, and C# are preferred, but not a strict requirement) in both Linux and Windows environment.

Cloud Network Engineering IC2 - The typical base pay range for this role across the U.S. is USD $84,200 - $165,200 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 $109,000 - $180,400 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.

Overview

Microsoft has an exciting opportunity to join the Microsoft Sovereign Cloud organization as part of the Windows Cloud Experiences Sovereign team. This team supports Windows 365 Cloud PC/Azure Virtual Desktop (AVD) technologies, which are redefining how people work by bringing secure, high‑quality Windows experiences to the cloud. Our work enables remote computing experiences that are more secure, resilient, and easier to manage for customers operating in highly regulated environments.

The Microsoft Sovereign Clouds organization is focused on delivering secure productivity solutions for some of the world’s most critical and sensitive customers. We tackle complex technical and operational challenges to deliver reliable, high‑performance services at scale. Our culture emphasizes a growth mindset, innovation, collaboration, and inclusion.

On the Windows Cloud Experiences Sovereign team, you will collaborate with engineers across disciplines to deliver and maintain Windows 365/Azure Virtual Desktop clients and infrastructure that power secure, high‑quality remote work experiences. You will also take part in core SRE responsibilities such as improving service reliability, enhancing monitoring and alerting, assisting with incident response, and building automation to reduce operational toil.

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.

Responsibilities

• Responds to incidents during regular on-call rotations by identifying the level of impact, troubleshooting basic issues, taking appropriate action to mitigate impact, and deploying appropriate fixes to resolve root cause(s). Notifies product teams and owners to major customer impacting issues and escalates the resolution of complex issues and/or those affecting multiple components or features to other engineers as needed. Contributes details and resolutions through post-mortem reports and review meetings.

• Uses existing tools to troubleshoot problems or flaws affecting the availability, security, reliability, performance, and/or efficiency of components or features with guidance from other engineers. Suggests potential solutions to resolve and prevent recurring issues and brings them to the attention of other engineers or team leads.

• Develops an understanding of how to safely and reliably manage changes in production by using existing tools and automation, including the safe deployment process (SDP), to enable product engineering teams implement changes across a defined range of components or features, with direction from other engineers.

• Develops an understanding of the code, features, and operations of specific products at scale as required to contribute to incremental improvements in product availability, security, quality, observability, reliability, efficiency, observability, and/or performance. Participates in on-boarding, code/design reviews, and regular meetings with the engineering teams that develop and/or manage those products.

• Supports ongoing engagements with product engineering teams by participating in code/design reviews, regular meetings, on-call rotations, and incident responses throughout product development and operations cycles. Draws insights from product engineering teams and basic analyses of telemetry data to propose potential improvements to code and designs for a defined set of product components or features with guidance from other engineers.

Qualifications

Required/Minimum Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python 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:

• The successful candidate must have an active U.S. Government Top Secret Clearance with access to Sensitive Compartmented Information (SCI) based on a Single Scope Background Investigation (SSBI) with Polygraph. Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. Failure to maintain or obtain the appropriate U.S. Government clearance and/or customer screening requirements may result in employment action up to and including termination.
• Clearance Verification: This position requires successful verification of the stated security clearance to meet federal government customer requirements. You will be asked to provide clearance verification information prior to an offer of employment.
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
• Citizenship & Citizenship Verification: This position requires verification of U.S. citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local United States government agency customer and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport, or other approved documents, or verified US government Clearance

Preferred/Additional Qualifications

• Master's Degree in Computer Science or related technical field AND 6+ 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 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Site Reliability Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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.

Overview

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.

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

• Focus on agonistic engineering of the Azure security services in Sovereign clouds to ensure security across all clouds and be customer and partner focused.
• Create robust career development plans to help team members grow.
• Lead, coach, and build a diverse, inclusive, high-performing team where all team members can do their best work.
• Help the team plan and execute technical deliverables.
• Work closely with our external partners to support the team’s mission.
• Guides partnership with appropriate stakeholders within Azure Security to determine requirements within and across teams.

Other:

• Embody our companys  Cultures and Values.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• 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:

• The successful candidate must have an active U.S. Government Top Secret Security Clearance.  Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. Failure to maintain or obtain the appropriate clearance and/or customer screening requirements may result in employment action up to and including termination.
• Clearance Verification: This position requires successful verification of the stated security clearance to meet federal government customer requirements. You will be asked to provide clearance verification information prior to an offer of employment.
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
• Citizenship & Citizenship Verification: This position requires verification of U.S. citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local United States government agency customer and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport, or other approved documents, or verified US government Clearance.

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 8+ 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 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• 4+ years people management experience.
• 3+ years working on large scale cloud services in AWS, Azure, or others
• 3+ years working in security related products

Software Engineering M5 - 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, read more about requesting accommodations.

Overview

Team Description: Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.

The Identity Security Breach Response Squad (IDSEC BRS) is where engineers and security researchers come to work on the most challenging identity security problems at Microsoft. The team operates at the front lines of complex attacks, partnering closely with investigators and engineers to understand how real attacks unfold and to turn those insights into scalable detection, investigation, and response capabilities. BRS is deeply hands‑on: team members work directly with large‑scale identity telemetry, trace complex attack paths, and help shape the tools and systems that responders rely on during high‑impact security events. If you’re motivated by solving ambiguous problems, learning from real adversary behavior, and seeing your work directly improve how a global platform defends itself, this team offers the opportunity to make a tangible difference at cloud scale.

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.

MSFTSecurity, #Cybersecurity #EntraID #IdentitySecurity #Identity&NetworkAccess

Responsibilities

Responsibilities:

• Translate emerging security threats into clear, actionable engineering requirements, partnering with product and engineering teams to drive AI‑first solutions that close gaps quickly and scale protections across identity systems.
• Investigate and analyze advanced identity based attacks, including token theft, certificate abuse, federation compromise, workload identity misuse, MFA bypass, and hybrid/cloud attack paths.
• Perform deep security investigations using large scale telemetry across cloud identity systems, correlating signals to distinguish malicious activity from expected service behavior.
• Design high fidelity detections based on adversary invariants and abuse patterns.
• Partner with product and platform engineering teams to drive durable security improvements, including logging and telemetry enhancements, protocol hardening, policy changes, and safer default designs.
• Contribute to incident response and post incident reviews, identifying root causes, systemic gaps, and long term mitigations that prevent recurrence.
• Influence security strategy by identifying emerging threat classes, assessing residual risk, and advising engineering and security leadership.
• Build or contribute to automation and tooling that accelerates investigation, detection, and remediation at cloud scale.
• Collaborate across security, engineering, and research teams to improve Microsoft’s overall identity security posture.

Qualifications

Required:

• Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field OR Master's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 3+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection OR Bachelor's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 4+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection OR equivalent experience.

Other:

• Experience in security research, threat analysis, incident response, or detection engineering.
• Understanding of identity and access technologies, such as authentication and authorization protocols (OAuth, OIDC, SAML), tokens, certificates/PKI, and MFA.
• Experience analyzing security telemetry at scale (for example, using Kusto, SQL, or similar analytics platforms).
• Ability to translate complex technical findings into clear guidance for engineers and security stakeholders.

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 background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Security Research 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:
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.

Overview

Join our team within  CoreAI, where we are building the AI data-plane that powers all LLM inferencing workloads across Microsoft and Azure customers—from cutting-edge startups to Fortune 500 enterprises. Our converged AI fabric delivers inference capabilities for all LLMs in Microsoft catalog, including OpenAI, Anthropic, Mistral, Cohere, Llama, and more.

As a  Principal Software Engineer, you will shape the future of one of the largest and fastest-growing services in Azure, foundational to Microsoft’s AI strategy. Our mission is to serve models at scale—reliably, efficiently, and with ultra-low latency—enabling a rich set of AI-powered product experiences.

This is a rapidly evolving space with immense opportunities to learn, innovate, and drive industry-wide impact!

Responsibilities

• Be a hands-on technical leader, designing, coding, and shipping core serving systems, smart routing, and request distribution for a broad portfolio of LLMs, including OpenAI, Mistral, Grok, DeepSeek, and others.
• Build large-scale AI services and platform capabilities that power new products and customer experiences.
• Drive cutting-edge innovation in AI systems alongside world-class engineers and cross-functional partners.
• Lead through architecture, code reviews, mentorship, and technical excellence while staying close to implementation.
• Improve reliability, scalability, observability, efficiency, and performance across mission-critical services.

Qualifications

Required/Minimum Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, or Java
• 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/Additional Qualifications:

• 4+ years of design and problem-solving experience, with understanding of system performance, scalability, and engineering best practices.
• Understanding of distributed systems specifically in request serving at scale; (e.g. inferencing, L7 gateways, high-performance storage, distributed databases across global-scale infrastructure)
• Demonstrated experience in building high-quality, reliable systems at scale.
• Experience using modern AI-assisted development tools and workflows to move faster, improve quality, and amplify engineering impact.
• Customer-obsessed approach to problem solving, with empathy and a drive to deliver impactful solutions.

AIPLATFORM

azureai

coreai

genai

aiinference

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:
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.

Overview

Join our team within CoreAI, where we are building the AI data-plane that powers all LLM inferencing workloads across Microsoft and Azure customers—from cutting-edge startups to Fortune 500 enterprises. Our converged AI fabric delivers inference capabilities for all LLMs in Microsoft catalog, including OpenAI, Anthropic, Mistral, Cohere, Llama, and more.

As a  Senior Software Engineer, you will shape the future of one of the largest and fastest-growing services in Azure, foundational to Microsoft’s AI strategy. Our mission is to serve models at scale—reliably, efficiently, and with ultra-low latency—enabling a rich set of AI-powered product experiences.

This is a rapidly evolving space with immense opportunities to learn, innovate, and drive industry-wide impact!

Responsibilities

• Be a hands-on technical leader, designing, coding, and shipping core serving systems, smart routing, and request distribution for a broad portfolio of LLMs, including OpenAI, Mistral, Grok, DeepSeek, and others.
• Build large-scale AI services and platform capabilities that power new products and customer experiences.
• Drive cutting-edge innovation in AI systems alongside world-class engineers and cross-functional partners.
• Lead through architecture, code reviews, mentorship, and technical excellence while staying close to implementation.
• Improve reliability, scalability, observability, efficiency, and performance across mission-critical services.

Qualifications

Required/Minimum 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#, or Java
• 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/Additional Qualifications:

• 4+ years of design and problem-solving experience, with understanding of system performance, scalability, and engineering best practices.
• Understanding of distributed systems specifically in request serving at scale; (e.g. inferencing, L7 gateways, high-performance storage, distributed databases across global-scale infrastructure)
• Demonstrated experience in building high-quality, reliable systems at scale.
• Experience using modern AI-assisted development tools and workflows to move faster, improve quality, and amplify engineering impact.
• Customer-obsessed approach to problem solving, with empathy and a drive to deliver impactful solutions.

AIPLATFORM

azureai

coreai

genai

aiinference

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:
https://careers.microsoft.com/us/en/us-corporate-pay

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:
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.