Software Engineer II
Software Engineer II
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Overview
The Ads Data Platform Team, part of Microsoft AI (Artificial Intelligence), is hiring a Software Engineer II-Big Data Systems.
This role is available in Redmond, WA
Our team powers the backbone of Microsoft’s global ads marketplace—gathering, storing, and enriching over half a trillion ad-serving events every day. We build data platforms that fuel business analytics, machine learning models, and real-time reporting at massive scale. If you’re passionate about solving complex problems and driving innovation, this is the place for you.
As part of our team, you’ll:
- Design and operate high-scale, high-performance systems that process billions of events through near-real-time and offline pipelines.
- Build data applications that directly impact Microsoft Ads’ double-digit annual growth.
- Work on cutting-edge technologies in distributed systems, machine learning, and big data.
Why join us?
- Online advertising is one of the fastest-growing businesses on the Internet, with $70B of a $600B market already online—and we’re just getting started.
- You’ll tackle technical challenges that demand computational intelligence, scalable algorithms, and interdisciplinary expertise across data mining, optimization, and economics.
- Be part of a results-driven, inclusive culture where your ideas matter and your work create measurable business impact.
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.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Work with BingAds stakeholders to determine requirements for new features to drive up Ads business. Create system design for feature requirements. Assure system meets security and compliance requirements and expectations. Creates a clear and articulated plan for testing and assuring quality solutions.
- Implement the features with high efficiency, extensibility, diagnosability, reliability, and maintainability with few defects. Reviews code of product to assure it meets the team’s and Microsoft’s quality standards, is reliable and accurate, and is appropriate for the scale of the product feature.
- Maintain operations of live service as issues arise on a rotational, on-call basis. Identifies solutions and mitigations to simple and complex issues and escalates as necessary. Acts as a Designated Responsible Individual (DRI) working on call to monitor system/product feature/service for degradation, downtime, or interruptions. Responds within Service Level Agreement (SLA) timeframe. Escalate issues to appropriate owners.
- Build knowledge, share new ideas, and share pinpoints of engineering tool gaps to improve software developer tools to support other programs, tools, and applications to create, debug, and maintain code for product features. Contribute to the development of automation within production and deployment of a product feature.
- Profile and analyze distributed system performance and capacity bottlenecks. Propose and implement solutions to improve system latency and capacity to meet BingAds online serving requirements.
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++, C#, Java, JavaScript, or Python OR equivalent experience.
Preferred Qualifications:
- Master’s Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Bachelor’s Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Experience in Azure.
- Experience in machine learning and online system design, implementation and qualification.
- 2+ years’ experience in Distributed Systems and Big Data Technologies such as Spark, Hadoop, HDFS, Kafka, Flink, Scala.
#MicrosoftAI #BingAds
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
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Are you passionate about gaming or a frequent consumer of short‑form and long‑form video? Do you get excited about helping fellow gamers with their everyday needs? Are you driven to surface the most engaging entertainment content for millions of users? Does seeing your code impact people around the world every single day inspire you? If so, our team could be the perfect fit.
The MSN Entertainment team is seeking talented software engineers to help build the next generation of gaming and video experiences on MSN. In this role, you’ll collaborate with teams across Edge, Windows, Xbox, Bing, and other partner groups to deliver innovative, high‑impact solutions for our users and content partners. You’ll work across the full technology stack—from web UX and service endpoints to middle‑tier workflows and data layers—contributing to features that shape how millions of people experience entertainment on MSN.
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.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- AI-Native Development
- Independently 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 requirements, design documents, code, and other assets, assisting other members of the team to do the same. Uses SDLC and engineering health measures (e.g., Accelerate, SPACE framework, Engineering System Success Playbook [ESSP]) to improve processes and practices, especially those involving AI. Experiments with AI tools and practices to improve their own capabilities.
Coding- Reviews product code and test code to ensure it meets team standards, contains the correct test coverage, and is appropriate for the product or solution area. Brings insight to code reviews to help improve code quality, coaching and providing feedback to develop other engineers’ skills. Conducts 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, providing feedback on code to drive adherence to best practices. Uses automated source code analysis tools that are incorporated into the build/development process.
- Uses debugging tools, tests, logs, telemetry, and other methods to proactively verify assumptions while developing code before issues occur for products in production. Conducts incident retrospectives to identify root causes of problems, implements repair actions, and identifies mechanisms to prevent incident recurrence. Independently applies least-access principles, uses logging, telemetry, and other appropriate mechanisms to investigate issues while retaining privacy and security, and drives those practices across the team.
- Leads by example within the team to produce extensible, maintainable, well-tested, secure, and performant code that adheres to design specifications. Continuously improves code performance, testability, maintainability, effectiveness, and cost, while learning about and accounting for relevant trade-offs. Applies metrics to drive code quality and stability. Applies appropriate coding patterns and best practices (e.g., leveraging state-of-the-art generative artificial intelligence [GenAI], approaches to source code organization, naming conventions). Identifies and escalates blockers or unknowns during the development process, communicates how they will impact timelines, and identifies strategies and/or opportunities to address them.
- Design
- Independently creates a clear test strategy that ensures solution quality, prevents regression from being introduced into existing code. Ensures test plans incorporate security testing to validate security invariants (including negative cases). Drives adding new tests to cover gaps, deleting or fixing broken tests, and improving the speed, reliability, and defect localization of the test suite. Independently builds testable code and considers testability during design for a project/sub-section of a product/solution. Understands the different types of tests that can be done on a particular system (e.g., unit tests), maintains up-to-date understanding of testing architectures used both across Microsoft and across the industry, and applies them across the architecture as appropriate. Identifies difficult or untestable sections of codes for a project/sub-section of a product/solution for future design or rearchitecture discussions. Leverages artificial intelligence (AI) tools for test automation.
- Identifies dependencies and incorporates them into the development of design documents for a product, application, service or platform. Actively identifies other teams and technologies to leverage, how they interact, and where their own system or team can support others. Understands upstream and downstream interactions between systems and ensures security, compliance, performance, and reliability can be achieved across the entire stack. Collaborates with other teams to reach common goals where dependencies and validation concerns overlap. Works across teams to resolve conflicts around dependency ownership and required work.
- Leads discussions for and owns the architecture of a products/solutions and creates proposals for architecture by testing design hypotheses and develop complex design specifications. Tests and explores various design options for a complex product/solution scenario, outlining strengths and weaknesses of each option. Independently collaborates with architects to build and modify complex products/solutions, providing feedback as needed. Owns or collaborates with other engineers on the architecture of solutions, with minimal technical oversight. Develops design documents that support user stories and other product requirements. Maintains awareness of the current technology landscape, and determines how to integrate these technologies within existing systems. Shares learnings and identified solutions from investigations with the team and owns for some design decisions. Ensures system architecture and individual designs meet performance, scalability, resiliency, cost of goods sold (COGS), disaster recovery, and other requirements and expectations. Upholds Microsoft standards of security, privacy, and other compliance requirements and expectations. Understands and coaches less experienced engineers on the importance of building solutions that expand upon the work of others. Drives the refinement of products through data analytics, and makes informed decisions in engineering products through data integration. Reviews designs/architectures within and across teams to provide recommendations for improvements.
- Engineering Excellence
- 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. Drives product development and scaling to customer requirements and applies best practices for meeting scaling needs and performance expectations and security promises.
- Considers, identifies requirements for, and drives comprehensive application of automation within production and deployment of a product, targeting zero-touch deployment when possible. Runs code in simulated or other non-production environments to confirm functionality and error-free runtime for products.
- Drives efforts to ensure the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility. Creates and assures the presence of visible evidence (e.g., audit trail) to demonstrate compliance for products. Develops and maintains a deep 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 followed and met.
- Works with partner teams to ensure a project/sub-system of a product works well with the components of the partner team, ensuring 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. Proactively seeks new knowledge, evaluating new trends, technical solutions, and patterns, assessing how to adapt them to current problems. Conducts learning and literary sessions to raise awareness on relevant engineering design principles (e.g., security, testability, performance, scalability, accessibility, product knowledge).
- Uses and enhances, or builds, new software developer tools to support easier, faster, and more effective software engineering for products. Identifies whether open source or internal code is available to address coding needs for a project/sub-system of a product, and reuses it in a responsible manner where applicable. Develops skills in tools outside current areas of expertise. Identifies and/or creates tools that are useful for building the product. Shares best practices and teaches others about new tools and strategies.
- Understands and applies security best practices and establishes code invariants to model “security as code,” ensuring each layer is independently secure, and minimizing risk. Supports and/or adopts security standards for clear security code review practices for a project/sub-system of a product that align with design and engineering principles to raise the security hardening for both protections and detections. Incorporates deployment gates on security controls, and scanners for a project/sub-system of a product to prevent regressions and/or vulnerabilities that would have customer impact. Includes required security monitoring to ensure detection of violations. Independently works with relevant security partners to define security promises and security invariants for the design of a product/solution 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 project/sub-system of a product.
- Implement
- Leverages their subject-matter expertise to partner with appropriate stakeholders (e.g., technical program managers) to drive a workgroup’s project plans, release plans, and work items. Organizes work into smaller sets of tasks as part of an overall roadmap. Guides other members for project estimation and escalates issues that might cause a delay. Ensures required security protections and detection processes are accounted for in planning. Ensures project plans adhere to security, privacy, and compliance requirements. Ensures all code for a product/solution is properly flighted for quicker mitigation of production incidents. Calculates capacity for planning, accounting for appropriate failover and backup/restore mechanisms for disaster recovery for a project/sub-system of a product. Makes considerations for efficient operation of a project/sub-system of a product after it is live. Establishes a rollback plan for a project/sub-system of a product.
- Leveraging internal experimentation infrastructures, drives experiments that determine the impact of changes, using feature flags/flighting in their code. Collaborates with internal partners (e.g., Data Science, product managers) to incorporate success and guard rail metrics for experimentation.
- Leverages existing deployment frameworks in the implementation of solutions, automating deployment tasks when possible to ensure efficiency. Follows safe change deployment best practices (e.g., ensuring that flights are set correctly) for their team to minimize adverse impact to users and other services. Ensures that solutions are deployed safely, rolling out security-sensitive features only to applicable, relevant customers and scenarios to reduce the attack surface. Monitors dependency status and ensures that only the latest, secure versions are deployed. Identifies when rollback plans should be enacted for a project/sub-sub-system of a product. Builds deployment infrastructure to allow developers’ private builds for a project/sub-sub-system of a product to be tested in a production-like environment.
- Reliability and Supportability
- Drives efforts to integrate logging and instrumentation for gathering telemetry data on system behavior such as performance, reliability, availability, usage, and safety mechanisms, and for allowing monitoring and investigating security-related concerns and scenarios for both live and A/B experiments for products, services, and offerings. Leverages telemetry feedback and effectiveness to independently improve subsequent monitoring designs. Classifies and analyzes data on a range of metrics (e.g., health of the system, where bugs may be occurring), and creates outputs (e.g., notifications, dashboards) that improve monitoring and investigating security-related concerns and scenarios, system monitoring and/or issue identification and mitigation. Considers the privacy implications of telemetry code changes, and adding new data points.
- Acts as a designated responsible individual (DRI) and guides other engineers by developing and following the playbook, working on-call to monitor a system/product/service for degradation, downtime, or interruptions. Alerts stakeholders as to status and initiates actions to restore system/product/service for simple problems and complex problems when appropriate. Responds within service level agreement (SLA) timeframe. Drives efforts to reduce incident volume, looking globally at incidences and providing broad resolutions. Escalates issues to appropriate owners.
- Maintains operations of live site service, following security best practices when responding quickly to mitigate issues while using the minimum required permissions to do so that arise on a rotational, on-call basis. Implements solutions and mitigations to more complex issues impacting performance or functionality of live site service and escalates appropriately. Reviews and writes incident postmortem and presents insights that drive changes to reduce or eliminate incidents. Independently improves troubleshooting guides (TSGs), wikis, tests, and telemetry to make on-call better, and recommends user-facing support documentation and additional test coverage to reduce likelihood of future user-initiated incidents. Enables secure operations, security monitoring, and integration with live site investigation activities. Identifies and proposes opportunities (e.g., lunch talks, automation, practices, tools) that can be leveraged to improve the live site experience. Adds comprehensive observability and monitoring to services.
- Understand User Requirements
- Collaborates with and guides appropriate internal (e.g., product manager, privacy/security subject matter expert, technical lead) and external (e.g. customer escalation team, public forums) stakeholders to determine and confirm customer/user requirements for a project/sub-section of a product/solution. Incorporates customer insights into future designs or solution fixes. Ensures unwritten requirements, such as appropriate continuous feedback loops that measure actionable, quantitative (e.g., customer value, usage patterns, solution performance) and qualitative (e.g., accessibility, globalization) indicators of value are incorporated. Understands, provides feedback on, and advocates for security and privacy needs of the customer who will be using the project/sub-section of a product/solution.
Qualifications
Required 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 OR equivalent experience.
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++, 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.
- Experience in UX (React, Web components, typescript, JavaScript)
- Interest in gaming & video feed.
- A demonstrated ability to ship high-quality software on time.
- Solid communication skills. Ability to work closely and collaborate independently across a feature team.
- Ability to span across a large number of areas while getting sufficiently deep in new focus areas where necessary
- Passion for product excellence.
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.
#MicrosoftAI
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.
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Senior Software Engineer – Auction Logic – Monetize Platform
We built a platform to provide an open, transparent marketplace and powerful enterprise technology enabling marketers to connect and engage consumers on thousands of high-quality websites and apps.
The Monetize Platform is an advanced buy-side and sell-side advertising technology platform that enables buyers and sellers to access and trade premium inventory in a transparent and streamlined environment.
Microsoft is hiring an experienced Senior Software Engineer to join the Auction Logic team, specifically focused on build, test, deploy, and monitoring.
As a Senior Software Engineer, you will
- Lead the cross-team engineering efforts to build business critical products for publishers and buyers on the Monetize platform.
- You will collaborate with a team of smart, passionate engineers.
- You will own significant areas of the Monetize real-time platforms and function as the architect.
- You will participate in setting the roadmap and direction for your areas of responsibility.
About the team:
The mission of the Auction Logic team is to create the digital marketplace with a purpose of accurately connecting advertisers (buyers) and publishers (sellers) in the most effective and efficient way possible. The team is responsible for building and operating a set of core components of Monetize real-time platform, specifically the distributed set of servers that runs an auction for every ad impression, delivers the ad content, and performs all the necessary accounting. The Monetize real-time platform is a large-scale distributed platform operating under strict real-time constraints, responding to and executing real-time, dynamic auctions in less than 100 milliseconds. In the past few years, we’ve grown from processing 300k QPS to over 5 million QPS for an approximate total of 100 billion requests per day. These events generate more than 150 TB of new data every day. Engineers work on the real-time components to optimize our software for performance, space, and algorithmic efficiency. The application that processes all those requests, impression bus, is among the responsibilities of the Auction Logic team. You will provide solutions to help connect advertisers and publishers in the digital marketplace as well as resolve complex technical issues that arise because of the immense scale of our platform.
About the job:
As a technical leader you’ll design and implement solutions that span multiple applications on the real time platform, are high quality, require hard real time constraints, are easy to operate and maintain, and make the lives of product engineers easier. You will own or influence significant parts of the platform and allied areas. You will work closely with other engineers and our product teams, to not only make these systems go faster and handle more and more data, but also to build revolutionary new products for our clients. responsibilities will include:
- Designing and implementing scalable solutions including new features and enhancements of our Platform.
- Participating in and helping lead planning sessions with Product Management and Engineering team leads to constructing feature requirements and specifications.
- Produce prototype features quickly and participate in gathering feedback from clients.
- Bring innovation to the team in new features, improving build processes and product development lifecycle.
- Participate in code reviews and provide feedback to increase code efficiency, maintainability and robustness.
- Support and debug production level issues and provide fixes in an expedient manner.
- Mentor junior engineers on best practices in software development
More about you:
- You are focused on building high-quality, intuitive products.
- You are passionate about learning and teaching.
- You love challenging yourself to constantly improve and sharing your knowledge to empower others.
- You view processes as a means and not an end, preferring lean or automated approaches to ensure quality and productivity.
- You are not satisfied with the status quo and are always looking to improve how things are done and what is built
Responsibilities
- Works with appropriate stakeholders to determine user requirements for a set of features.
- Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight.
- Creates and implements code for a product, service, or feature, reusing code as applicable.
- Contributes to efforts to break down larger work items into smaller work items and provides estimation.
- Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems.
- Remains current in skills by investing time and effort into staying abreast 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.
Qualifications
Required 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 OR equivalent experience.
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++, 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.
- 5+ years of experience as a professional software developer.
- Experience building high performance, multi-threaded, distributed systems and applications, preferably in a Linux environment.
- Experience practicing advanced optimization techniques.
- Solid fundamental understanding of generalized architecture patterns and service-oriented architecture (SOA).
- Excellent Computer Science fundamentals with regards to data structures, algorithms, time complexity, etc.
- Excellent and creative problem-solving abilities. We will consider extensive experience with other languages as well, e.g., Rust, Go, etc.
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.
#MicrosoftAI
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.
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Monetization Engineering is responsible for building a unified, intelligent, and resilient monetization platform that drives revenue across Microsoft’s AI-native surfaces, including Copilot, Search, MSN, Shopping, and both first-party and third-party ecosystems. Our mission is to enhance advertiser value, optimize platform performance, and achieve long-term revenue growth through large-scale systems, machine learning-driven optimization, experimentation, and cross-surface innovation.
The Ads Brain team serves as the technological core of Microsoft’s rapidly expanding digital advertising business. The team focuses on accelerating Microsoft’s large-scale deep learning inference for Ads, Shopping, Copilot, and other surfaces, including both offline and online applications that support OpenAI LLM models and next-generation LLMs/SLMs. We play a pivotal role in bridging state-of-the-art GPU and deep learning technologies with critical business applications.
We are seeking an experienced professional with expertise in GPU inference optimization and a deep understanding of LLM/SLM architecture to join our team. This is a unique opportunity to contribute to cutting-edge advancements in AI and deep learning while driving impactful solutions for Microsoft’s advertising and monetization platforms.
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.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Engage directly with key partners to understand, design, and implement complex inferencing capabilities for state-of-the-art deep learning models, driving innovations in AI infrastructure.
- Work with cutting-edge hardware and software stacks to deliver best-in-class inference performance while optimizing for cost, leveraging open-source projects to advance deep learning applications.
- Collaborate with external and internal teams to identify new areas for improvement and contribute to innovations that enhance model performance and deployment. Discover/solve impactful technical problems, advance state-of-the-art technologies, and translate ideas into production.
- Developing internal tools to support the AI lifecycle, including experiment tracking, model versioning, and performance monitoring.
- Create deep connections within our communities, focus on increasing representation, retaining, and growing our current team members, while fostering awareness and growth through an inclusive environment.
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.
Preferred Qualifications:
- Experience with model compression (quantization, distillation, SVD, low‑rank methods).
- Experience in building high‑throughput inference serving stacks (continuous batching, KV‑cache optimizations, routing).
- Familiarity with Microsoft’s DLIS, Talon routing, Triton/TensorRT‑LLM stack, and Azure/H100/A100 GPU environments.
- Publications, competition wins, or real‑world deployments related to model efficiency.
- Solid experience in GPU inference optimization (CUDA, TensorRT, Triton, or custom GPU kernels).
- Proficiency in profiling tools (Nsight, TensorBoard, PyTorch profiler) and ability to identify CPU/GPU bottlenecks.
- Deep understanding of LLM/SLM architectures (attention, embeddings, MoE, decoders).
- Experience optimizing latency‑critical online services.
- 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.
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.
#MicrosoftAI
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.
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Principal Software Engineer
Member of Technical Staff, AI Product, Android Engineer
Principal Product Manager, AI Multimodal
Principal Product Manager, AI Multimodal
- Location
- Job Number
- City
- Team
- Country
- Discipline
- Deeply understand the pipeline of collecting data, training and then serving language models and multimodal models
- Have experience in working side-by-side with researchers and engineers
- Thrive in a fast-paced, innovative environment
- Are passionate about managing high stakes time-sensitive large-scale programs
- Take the initiative and enjoys finding paths through complexity in a fast-paced environment
- Are comfortable owning projects that span offices, teams and time zones, can co-ordinate different workstreams, and drive to relentlessly unblock progress
- Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies
Responsibilities
- Identifying and prioritizing language and multimodal model issues and working with researchers to find a path to resolution.
- Creating novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning.
- Creating model prototypes to prove out new feature directions and scope projects.
- Engineering prompts to teach models how to behave across a wide range of scenarios.
- Working closely with researchers and engineers to define and manage engineering and research projects.
- Deploying and tracking AB model experiments in production
- Foster a culture of collaboration, continuous improvement, and growth.
- Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback
- Advance the AI frontier responsibly
- Embody our culture and values.
Qualifications
Required/Minimum Qualifications
- Bachelor’s Degree AND 8+ year’s experience in product management or software development OR equivalent experience.
- Experience managing cross-functional and/or cross-team projects.
- Proven track record as a product manager with firsthand experience evaluating and deploying LLMs into production.
- Experience working side-by-side with Researchers and/or Engineers
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.
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Principal Software Engineer
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Member of Technical Staff – Data Infra – MAI Superintelligence Team
Member of Technical Staff – Data Infra – MAI Superintelligence Team
- Location
- Job Number
- City
- Team
- Country
- Discipline
Responsibilities
Qualifications
Required Qualifications:
Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.
Additional or preferred qualifications
Data Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 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 $220,800 – $331,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Principal Software Engineer
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Principal Security Engineer
Principal Security Engineer
- Location
- Job Number
- City
- Team
- Country
- Discipline
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure.
Security Engineering for Copilot is focused on building and securing systems that accelerate this process by making it easy and safe to incorporate more data and functionality that would otherwise be too scary/risky to do.
We are looking for a Principal Security Engineer to identify areas of risk and opportunity, then design and build solutions in Copilot, making the product and its platform more secure. This can include everything from secure coding standards, to API design, to infrastructure, sandboxing, automated testing/fuzzing, application security, insider risk and abuse detection. Since Agential AI orchestration poses novel threats to security and privacy from information flows, misinterpretation, and exfiltration risk, you will be expected to have an understanding of these and be able to apply (or invent!) the latest research directly into the codebase to address these challenges.
You will possess a methodical approach to problem-solving, proficiency in backend technologies, a familiarity with applied AI and its unique security challenges, and the ability to architect solutions that stand the test of time. Many problems in this space have not been solved before! The right candidate is hands-on and enjoys building world-class consumer experiences and products in a fast-paced environment. A key skill is the judgment to make the right risk vs velocity and value decisions.
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.
Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Build secure and performant AI Platform services that power Copilot.
- Solve novel security and privacy problems at the frontier of applied AI and agential systems.
- Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation AI products and services.
- Ship high-quality, well-tested, secure, and maintainable code.
- Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
- Enjoy working in a fast-paced, design-driven, product development cycle.
- Embody our Culture and Values.
Qualifications
Required Qualifications:
- 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.
Preferred Qualifications:
- 8+ years’ experience building scalable services, including securing applications and infrastructure on top of cloud infrastructure like Azure, AWS, or GCP.
- Familiarity with novel classes of attacks on AI-powered systems
- Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
- Experience “engineering out” classes of bugs and/or vulnerabilities by building secure coding and systems interfaces.
- Experience working with AI platforms, frameworks, and APIs.
- Staying up to date with the latest research into attacks and defenses for AI-powered systems.
- Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.
- Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
- Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
- Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
- Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
#MicrosoftAI
Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 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 $220,800 – $331,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Principal Technical Program Manager – Copilot Identity
Principal Technical Program Manager – Copilot Identity
- Location
- Job Number
- City
- Team
- Country
- Discipline
Copilot Security is at the heart of Microsoft’s mission to deliver trusted, human-centered AI experiences. We make trust, safety, and resilience foundational to every Copilot interaction, across devices, platforms, and ecosystems. Our work spans secure identity flows, defenses against emerging threats like prompt injection, and privacy-first systems that scale globally.
As a Principal Techncal Program Manager on Copilot Identity, you’ll lead initiatives that strengthen authentication, authorization, and account lifecycle experiences across desktop, web, and mobile. Your work ensures every Copilot interaction meets the highest standards of privacy, compliance, and reliability, while enabling developer velocity at Microsoft scale.
You’ll work at the intersection of security, user experience, and platform scale, partnering with engineering, research, and product teams to turn complex identity challenges into paved roads for innovation. From shaping strategy to orchestrating global execution, your impact will be felt across Microsoft’s most transformative products.
This is a rare opportunity to influence the security architecture for AI experiences used by hundreds of millions worldwide. If you thrive on solving hard problems, driving clarity in ambiguity, and building systems that scale with trust, we want you on this team.
Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
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
- Lead and orchestrate identity improvement programs across multiple client surfaces (e.g., desktop, web, and mobile), aligning roadmaps and milestones with partner teams and the Microsoft central identity system.
- Partner with research, engineering, and product managers to scope initiatives, define success metrics, and plan phased delivery that reduces risk and accelerates customer value.
- Ensure data quality, availability, and compliance for identity-related telemetry and signals; work with stakeholders to meet all privacy, security, and compliance requirements for shipping features at scale.
- Drive execution excellence: define schedules, milestones, KPIs, and review cadences; track progress, manage dependencies, surface risks, and ensure on-time delivery.
- Communicate program status, insights, and blockers with leadership and stakeholders; clarify ownership, hold teams accountable, and cultivate durable cross-org partnerships.
- Manage program execution and stakeholder engagement across geographically distributed teams, proactively addressing time zone challenges and fostering effective communication.
- Schedule and facilitate meetings, reviews, and decision-making sessions that accommodate global team members, ensuring all voices are heard and progress remains on track.
Qualifications
Required Qualifications:
- Bachelor’s Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development
- OR equivalent experience.
- 3+ years of experience managing cross-functional and/or cross-team projects.
- Bachelor’s Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development
- OR equivalent experience.
- 8+ years of experience managing cross-functional and/or cross-team projects.
- 3+ years of hands-on experience with authentication and identity systems, including practical knowledge of protocols (e.g., OAuth 2.0, OpenID Connect, SAML), session management, MFA, federation, and directory services.
- Experience reading and/or writing code (e.g., sample documentation, product demos).
- Proven track record driving feature launches and large-scale rollouts in complex systems, ideally across multiple client surfaces (desktop, web, mobile).
- Experience defining long-term program vision and strategy for identity/security projects; proficiency with OKRs and KPI-driven execution.
- Excellent communication, collaboration, and influence skills; ability to crisply communicate technical concepts to diverse audiences.
- Ability to thrive in fast-paced, ambiguous environments while driving clarity, alignment, and results.
- Demonstrated experience collaborating with globally distributed teams.
- Ability to adapt communication and project management approaches to suit diverse cultural and working styles.
- Experience working with Microsoft’s central identity ecosystem and partner teams, or similar large-scale identity platforms.
- Familiarity with privacy-by-design principles and compliance requirements (e.g., GDPR, regional data regulations) for identity data.
- Understanding of risk-based authentication, device-bound credentials, passkeys/WebAuthn, and related identity innovations.
#MicrosoftAI
Technical Program 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.
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Principal Software Engineer – Security
Principal Software Engineer – Security
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- Discipline
We are seeking a hands-on Principal Software Engineer (Security) with deep expertise in artificial intelligence security to take the lead in securing cutting-edge initiatives in Microsoft Edge. This Redmond-based role focuses on understanding existing and emerging threats, as well as cutting edge defenses, all within the context of a modern web browser. The ideal candidate has a solid background in AI (understanding how large language models work, prompt engineering, grounding techniques, when fine-tuning models is needed). While browser security domain knowledge is desirable, experience and expertise of AI integrations is paramount. This engineer will research new AI-driven vulnerabilities and implement practical mitigations to keep our users safe. The role is highly collaborative and requires excellent communication skills to work with multiple internal groups and external industry partners on securing AI features for modern AI browsers.
This role is about bringing top-tier AI security expertise into a browser security context. We need someone who can think like an attacker to anticipate how AI features could be abused, and act like an engineer to implement safeguards that make our browser and users safer. In doing so, you will elevate the security posture of Edge’s AI capabilities and help shape industry-leading practices for securing AI in end-user applications.
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.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Partners with appropriate stakeholders to determine user requirements for one or more complex safety scenarios, including demonstration of security attacks, both practical contemporary attacks or future attacks.
- Provides technical leadership for the identification of dependencies and the development of design documents for Microsoft Edge and underlying AI platforms.
- Leads by example and mentors others to produce extensible and maintainable code used across the company.
- Leverages deep subject-matter expertise of cross-product features with appropriate stakeholders to lead multiple product’s project plans, release plans, and work items.
- Holds accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, monitoring system/product/service for novel security vulnerabilities.
- Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the security baseline, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale and shares knowledge with other engineers.
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:
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 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.
- 3+ years of experience in AI/ML security
- OR equivalent recent security expertise.
- Demonstrated ability to apply AI knowledge in practice including prompt engineering
- Or grounding
- Or model fine tuning
- Demonstrated ability to both break systems and discover novel security flaws as well as building safeguards to mitigate them.
- Experience with Modern browsers, especially chromium-based browsers.
- Experience representing a team in multi-stakeholder environments.
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.
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Senior Software Engineer – Copilot Security
Senior Software Engineer – Copilot Security
- Location
- Job Number
- City
- Team
- Country
- Discipline
About the Team
Copilot Security is at the core of Microsoft’s mission to deliver trusted, human-centered AI experiences. We make security and resilience intrinsic to every Copilot interaction across devices, platforms, and ecosystems. Our work spans secure identity flows, defenses against emerging threats like prompt injection, and privacy-first systems that scale globally.
About the Role
Copilot for consumers is entering a new era of agentic AI, where intelligent agents act on behalf of users across Windows, Edge, web, mobile, and third-party products. We’re seeking a Senior Software Engineer to help develop security features and solutions that harness agentic AI to protect customers and enable new capabilities in Copilot. You’ll contribute to designing and building AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale. This role is ideal for engineers who are passionate about applying technical skills to solve security challenges and build systems that balance innovation with trust.
Why This Role Matters
Your work will directly shape how hundreds of millions of users experience safe, trustworthy, and innovative AI. You’ll be at the forefront of defining how agentic AI can proactively defend users, mitigate emerging threats, and unlock new secure scenarios, making a global impact on Microsoft’s most transformative products.
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.
Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.
- Implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms.
- Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy.
- Collaborate with product, engineering, security, privacy, and AI teams to adopt agentic security patterns and best practices across Copilot and MAI.
- Monitor key metrics for agentic AI security and innovation, using data-driven insights to improve defenses and enablement.
- Document secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.
Qualifications
Required 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
- OR equivalent experience.
Preferred Qualifications:
- 3+ years in technical engineering roles building large-scale services.
- Hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses.
- Proven ability to design, build, and ship agentic AI features or frameworks
- Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps.
- Agentic AI Development & Orchestration: Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns
- Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments
- Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming
- Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview)
- Track record of mentoring less experienced engineers, driving adoption of standards and best practices across teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals
#MicrosoftAI
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.
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