Software Engineer in Microsoft's DevDiv division focused on integrating AI into developer tools to enhance productivity. The role involves designing and developing software components, leveraging AI technologies like GitHub Copilot and LLM-based code tools, dogfooding internal AI tools, and researching/experimenting with AI techniques to improve engineering workflows.

This role is for a Fullstack Education Engineer on a new team within Microsoft Consumer Copilot, focused on building AI-driven learning experiences. The engineer will develop both front-end web applications and backend services, working with designers and AI researchers to create personalized educational systems. The role emphasizes shipping high-quality, full-stack code and using data insights to improve user engagement.

Software Engineer II role focused on building tools and systems for M365 sovereign cloud operations, including internal platforms, automation, and agentic workflows. The role involves writing code to solve operational challenges, ensuring reliability, and potentially leveraging GenAI. It also includes on-call responsibilities for live site operations, monitoring, and incident response, with a focus on security and compliance within sovereign cloud environments.

Software Engineer II role focused on designing, developing, and optimizing networking infrastructure for large-scale AI training and inference in Azure Cloud. The role involves ensuring high performance, low latency, and minimal jitter for distributed AI workloads, working with cutting-edge networking hardware and software.

This role focuses on architecting and guiding the adoption of Azure application platforms and AI-enabled solutions for financial services customers. The primary goal is to help these institutions modernize their applications, improve developer productivity, and achieve business outcomes through cloud-native and AI-driven experiences, while adhering to strict regulatory and security requirements.

Software Engineer II on the M365 Air Gapped Clouds team building internal tools, implementing agentic workflows, and developing software solutions to accelerate delivery and improve efficiency of M365 operations in sovereign environments. The role involves writing and shipping code across backend services for feature delivery and platform evolution, with a focus on the foundation for M365 services in government clouds, including search, Copilot, and infrastructure orchestration.

Cloud Solution Architect specializing in data platforms and analytics to help customers build secure, scalable, and AI-ready solutions on Microsoft Azure. This customer-facing role involves architecture design, proof of concepts, and production deployments, focusing on services like Microsoft Fabric, Azure Databricks, Cosmos DB, and Purview. The role collaborates with engineering teams and aims to accelerate AI transformation for customers.

This role is for a Principal Consultant within Microsoft's Industry Solutions - Global Center Innovation and Delivery Center (GCID). The primary focus is on leading the technical execution and delivery of complex client projects, embedding AI-native thinking into delivery models, and ensuring solutions are intelligent, scalable, and aligned with business outcomes. The role involves driving engineering excellence, innovation, client engagement, and team mentorship, with a strong emphasis on delivering AI-powered solutions that achieve specific business KPIs.

Senior Software Engineer on the Cloud+AI Silver Team responsible for deploying and operating services within an air-gapped environment, including the infrastructure for collaboration. This role involves working with engineers and PMs to enable Azure services for internal and external customers in highly secured and regulated industries, meeting stringent security policy and assurance requirements. The engineer will independently use AI tools and practices across the SDLC, review code, debug, design test strategies, and collaborate across teams to build and operate secure and reliable systems.

Senior Full Stack Engineer for Microsoft Clarity, a large-scale user behavior analytics platform. The role involves building and evolving the platform's high-performance analytics services, focusing on data accuracy, coverage, and efficiency. Responsibilities include developing scalable distributed services on Azure, implementing AI-forward product features, and using AI-assisted engineering tools within the SDLC. The role requires strong engineering fundamentals and collaboration with product teams to ship end-to-end features.

Cloud Solution Architect specializing in Business Applications, focusing on enabling low-code agility and transforming customers with AI. This customer-facing role involves owning technical and business relationships, guiding customers on leveraging Microsoft investments through architecture, implementation, and operational health. Responsibilities include acting as the voice of the customer, being a trusted advisor, driving consumption through unified support plans, resolving blockers, identifying opportunities for AI innovation, and executing with operational excellence. Requires experience with Dynamics 365 Customer Engagement and customer-facing roles, with preferred experience in Copilot Studio and Agent-based solutions.

Entry-level Cloud Solution Architect role focused on designing and building AI and Agentic solutions for enterprise customers using Microsoft's AI platform. Responsibilities include technical engagements, accelerating adoption, and delivering repeatable solutions.

Entry-level Cloud Solution Architect role focused on designing and building AI and Agentic solutions for customers using Microsoft's AI platforms (Copilot, Azure AI, etc.). The role involves technical engagements across architecture, POCs, and MVPs, with an emphasis on delivering repeatable solutions and accelerating customer adoption of AI technologies.

Entry-level Cloud Solution Architect role focused on designing and building AI and Agentic solutions for customers using Microsoft's AI platforms. The role involves technical engagements, accelerating adoption, and delivering repeatable solutions.

Entry-level Cloud Solution Architect role focused on designing and building AI and Agentic solutions for customers using Microsoft's AI platforms (Copilot, Azure AI, etc.). The role involves technical engagements, accelerating adoption, and delivering repeatable solutions to drive business value.

Software Engineer on the M365 Air Gapped Clouds team, responsible for building internal tools, implementing agentic workflows, and developing software solutions to improve M365 operations in sovereign environments. The role involves writing and shipping code for backend services, focusing on feature delivery and platform evolution within the Substrate & Security team, which supports core search, Copilot, and infrastructure orchestration.

Site Reliability Engineer II for Microsoft's IDEAS organization, focusing on automation, incident response, and reliability improvements for services in regulated government cloud environments. Supports Microsoft 365, Azure, and Windows platforms.

This role focuses on managing and developing the core platform and fleet of AI High Performance Computing products for Microsoft Azure. The engineer will design and develop high-volume, low-latency telemetry pipelines to provide insights into customer-facing issues across the infrastructure stack, from datacenter events to hardware and networking subsystems. The goal is to improve job reliability and reduce job interrupts on flagship supercomputers used by top-tier AI customers. The role requires expertise in large-scale HPC & GPU systems, cloud computing, and high-performance data processing infrastructure.

Principal Software Engineer on the Ads Data Platform Team, which powers Microsoft's global ads marketplace. The role focuses on building and advancing the core capabilities of the Ads serving stack, a high-scale, low-latency, geo-distributed system involving large-scale machine learning inference for ad ranking and real-time bidding infrastructure.

Senior Software Engineer to deliver secure, scalable, and mission critical AI infrastructure for Microsoft’s sensitive cloud environments, focusing on foundational services for Azure Machine Learning, Azure AI Services, Azure OpenAI, and Microsoft Foundry. The role involves building and operating AI native full stack systems, leveraging modern tooling and AI systems to accelerate development and enhance product quality within air gapped, sovereign, and commercial clouds.

This role focuses on delivering enterprise application solutions on the Microsoft Cloud and AI platform, with an emphasis on integrating AI services and using AI-assisted development tools to enhance productivity and solution quality. The consultant will translate business requirements into technical solutions, manage project delivery, and identify/mitigate technical and AI-related risks.

Software Engineer role focused on AI-Native Development within the Cloud+AI Azure Data Team. The role involves using AI tools in the SDLC, ensuring security and compliance in a regulated, air-gapped environment, and contributing to the development of data platform services for AI-powered applications. The position emphasizes secure and reliable coding practices, code reviews, and testing within a disciplined engineering framework.

Principal Software Engineer Manager to lead engineering teams responsible for developing, deploying, operating, and continuously improving Azure services within Microsoft Specialized Clouds. This role focuses on AI-native development, guiding teams on the use of AI tools and Responsible AI practices throughout the SDLC, ensuring operational rigor, automation, and compliance in regulated cloud environments.

Solution Engineer in Microsoft's Innovation Hub focused on helping enterprise customers solve business challenges using cross-workload solutions, particularly AI-driven solutions built on the AI Agent cloud platform. The role involves delivering technical engagements, solution design, setting digital vision, building strategy, and acting as a go-to technical expert for AI & Agents, including concepts like planning, tool use, orchestration, evaluation, and safety within the Microsoft ecosystem.

Software Engineer role focused on deploying and operating a Secure Work Area within a highly secured and regulated environment. The role involves using AI tools within the software development lifecycle (SDLC), including for code generation and test automation, while adhering to strict security and compliance requirements. The primary focus is on building and maintaining secure infrastructure and collaboration tools for internal and external customers in regulated industries.

Backend Engineer for Microsoft Copilot, focusing on building and scaling the core backend platform including Orchestrator, Inference, and APIs to power AI-driven consumer experiences. The role involves developing secure, performant APIs, collaborating with cross-functional teams, and shipping high-quality code in a fast-paced environment.

Customer-facing Cloud Solution Architect role focused on helping commercial customers productionize AI-powered applications on Azure. Responsibilities include leading technical engagements for architecture design, POCs, and MVPs, ensuring production readiness of mission-critical workloads, and driving adoption of Azure AI, App Services, Containers, and GitHub. The role requires deep technical expertise in Azure and cloud-native development, with a focus on scalability, resiliency, and readiness for AI use cases.

This role focuses on supporting large and medium-sized enterprises and government agencies in Japan with their Cloud & AI infrastructure, specifically in database and analytics platforms. The Solution Engineer will be involved in the design, evaluation, migration, and optimization of these platforms using Azure. The role is suitable for individuals looking to expand their skills into broader data and AI domains, with a strong curiosity for AI-era data innovation and a willingness to tackle new technologies in a fast-paced environment. Responsibilities include technical discussions, solution design, migration planning, and hands-on implementation within Azure Databases, Analytics, and Fabric Data Platform.

Software Engineering Intern role focused on building AI-first tools and runtimes for developer productivity within Microsoft's Core AI team. The role involves designing and implementing solutions that make AI development faster, safer, and more intuitive, impacting millions of developers globally.

Software Engineer role focused on building and improving the conversational core (Microsoft 365 Copilot Chat) of Microsoft's AI-first strategy. The role involves developing features, engineering systems for rapid iteration and deployment, automating workflows, and leveraging AI-driven solutions to optimize performance and user experience for a product used by millions globally.

The Cloud Solution Architect will design and build AI and Agentic solutions for customers, focusing on accelerating adoption of Microsoft AI products like Copilot and Azure AI. This role involves technical engagements across architecture, POCs, and MVPs, leveraging existing IP and driving consumption growth. The architect will also act as a liaison between customers and internal teams, sharing insights and feedback, and maintaining deep technical expertise in AI trends.

This role focuses on designing and delivering secure, resilient solutions for customers leveraging Microsoft's cloud and AI technologies, including Copilot. The Cloud Solution Architect (CSA) will work on security-focused technical engagements, assist with deployment and validation of security capabilities, interpret security alerts, and contribute to repeatable security solutions. The role emphasizes understanding customer security postures, risks, and operational challenges, and translating these into practical solutions. While the role involves working with AI-driven and agentic systems, its core focus is on the secure architecture, implementation, and operational readiness of these solutions within customer environments, rather than the direct development or research of AI models themselves.

This role focuses on ecosystem data science within Microsoft AI, owning cross-product measurement strategy, shared measurement systems, and experimentation frameworks. The Principal Data Scientist will apply machine learning, statistical modeling, and data mining to large datasets to define and deliver metrics that measure user and business value across products. They will also be responsible for designing and executing experiments, and standardizing processes for data acquisition, quality, and operationalizing ML models. The role emphasizes leadership, collaboration, and driving data-driven decisions within an integrated consumer AI ecosystem.

Customer-facing Cloud Solution Architect specializing in AI Business Process applications using Dynamics 365, Power Platform, and Copilot Studio. The role focuses on guiding customers through technical and business strategies, developing solutions, and ensuring optimal performance and cost-efficiency in leveraging Microsoft's AI investments.

Senior Solution Engineer focused on AI Business Processes, specializing in Finance & Supply Chain, Power Platform, and/or Sales & Services. The role involves guiding enterprise AI developers, accelerating adoption of Microsoft's AI-powered stack through PoCs, hackathons, and workshops, and acting as a trusted technical advisor to help customers modernize applications using AI and realize the value of Microsoft's platform. This includes accelerating AI applications and agents into development workflows.

Solution Engineer specializing in AI Business Processes (Finance & Supply Chain, Power Platform, Sales & Services) to guide enterprise AI developers in leveraging Microsoft's AI-powered stack. This role involves hands-on engagements like PoCs and hackathons, accelerating the adoption of AI applications and agents into customer development workflows, and acting as a trusted technical advisor for secure, scalable solution design.

Backend Software Engineer II for Microsoft Viva Insights (Copilot Analytics) platform, focusing on building AI-powered experiences for understanding and accelerating Copilot/Agent adoption. The role involves designing, implementing, and operating large-scale distributed backend systems, applying generative AI/ML, and managing Azure infrastructure within government cloud environments (GCC-High/DoD). Requires experience with AI/ML in production, Azure services, and infrastructure-as-code, with a strong emphasis on security and compliance for government clouds.

This role focuses on improving the developer experience and CI/CD pipelines for Microsoft's Consumer Copilot, aiming to increase engineering velocity, reliability, and product quality for AI-powered consumer products.

This role is for a Site Reliability Engineer (SRE) focused on ensuring the reliability, availability, and efficiency of large-scale distributed AI infrastructure. The SRE will work with ML researchers, data engineers, and product developers to operate platforms for training, fine-tuning, and serving generative AI models. Key responsibilities include maintaining uptime, designing observability systems, optimizing performance, building automation for deployments and incident response, and ensuring security and compliance in hybrid cloud/on-prem CPU+GPU environments. The role requires strong experience in SRE/DevOps, Kubernetes, CI/CD, public cloud platforms, monitoring tools, and programming languages like Python or Go, with a preference for experience with large-scale GPU clusters and HPC.

Senior Software Engineer role focused on developing and maintaining authentication and authorization components for Microsoft Security. The role involves collaborating with cross-functional teams, making data-driven decisions, and exploring AI-assisted development practices to improve velocity and quality. Experience with distributed services and a customer-first mindset are essential. The team supports thousands of internal Microsoft services and uses .NET as its primary language, with other languages being a plus.

This role focuses on helping customers migrate, modernize, and secure their infrastructure and applications on Microsoft Azure, with a specific emphasis on laying the foundation for scalable, production-ready AI solutions. The Cloud Solution Architect will guide customers through their AI transformation journey, design and implement scalable solutions, and optimize environments for AI use cases. While not directly building AI models, the role is crucial in enabling AI adoption and ensuring the underlying infrastructure is robust.

Customer-facing Cloud Solution Architect focused on data platforms and analytics, guiding organizations in building secure, scalable, and AI-ready solutions on Microsoft Azure. Responsibilities include architectural design, proof-of-concept initiatives, and production deployments for mission-critical workloads, utilizing technologies like Microsoft Fabric, Azure Databricks, Cosmos DB, and Purview to unlock data and AI value.

This role focuses on designing, building, and managing cutting-edge networking infrastructure for large-scale AI training and inference in Azure Cloud. The Network Engineer will ensure high performance, low latency, and minimal jitter for distributed AI workloads, working with diverse network architectures and processor/accelerator technologies to deliver a comprehensive, end-to-end solution with a focus on performance, scalability, and observability.

Solution Engineer focused on driving customer adoption of Microsoft 365 Copilot Studio & Agents and related AI-powered productivity solutions. Responsibilities include leading technical engagements, delivering demonstrations, guiding envisioning sessions, and ensuring governance, security, and compliance.

The Principal Software Engineer role on the Azure Data engineering team focuses on building and optimizing big data analytics services, specifically within the Microsoft Fabric Spark team. The role involves pushing the frontiers of analytics performance and scale by working with open-source technologies like Spark, Gluten, Velox, and Delta, as well as proprietary Microsoft services. The goal is to improve onboarding and tuning of workloads, requiring an AI-forward approach to deliver impact at Azure scale. Responsibilities include designing, implementing, testing, and operating data services, mentoring engineers, and participating in live site operations.

Senior Software Engineer on the Ads Data Platform Team, part of Microsoft AI. The role involves designing and operating high-scale data platforms that process billions of events daily, supporting business analytics, machine learning models, and real-time reporting for Microsoft Ads. Focus on distributed systems, machine learning, and big data technologies.

Solution Engineer for Microsoft's Cloud & AI Data Platform, focusing on Azure databases and analytics services. The role involves driving technical sales, leading customer engagements like Proof of Concepts and hackathons, designing scalable architectures, and resolving technical blockers to accelerate customer adoption and modernization of their data platforms. Requires deep knowledge of Microsoft's data stack and on-premise data solutions.

Solution Engineer focused on data security for enterprise clients, helping them modernize their data security architecture and posture. The role involves driving technical sales, leading engagements, co-designing secure architectures, and resolving technical blockers. A key aspect is enhancing team capabilities for protecting data within AI Platforms and Applications, and accelerating AI applications and agents into customer development workflows.