Microsoft

This role is for a Senior Software Engineer on the Microsoft Fabric Data & Telemetry team, responsible for building and maintaining the operating system for the unified data platform. The team focuses on observability, including telemetry creation, routing, storage, and consumption, supporting live-site monitoring, diagnostics, and analytics. The engineer will design and build scalable telemetry instrumentation services and pipelines, develop tools for metadata management, create job monitoring and notification services, and streamline operations through automation, leveraging Azure technologies and Fabric/Azure-Data stack.

Customer-facing Cloud Solution Architect specializing in AI and Azure workloads, responsible for guiding enterprise customers in their digital transformation and AI adoption journey. This role involves architectural design, deployment, and operational excellence for AI solutions on Microsoft Azure.

Software Engineer II on the Microsoft Fabric Data & Telemetry team, responsible for building and maintaining telemetry instrumentation services and pipelines, developing tools for metadata management, and creating job monitoring and notification services for data pipelines. The role focuses on providing high-quality data for running the service and business, supporting pillars like live-site monitoring, diagnostics, and analytics for product development, and ensuring customers have data for their own observability needs. The team applies classic cloud and software engineering practices alongside big data-engineering and analytical practices.

Solution Engineer focused on Azure cloud infrastructure for commercial customers, helping them design, migrate, and modernize architectures to support AI workloads and business-critical applications. This role involves technical sales, architecture design, and collaboration to drive Azure adoption and unlock value through AI-powered infrastructure.

This role focuses on helping enterprise customers migrate, modernize, and secure their infrastructure on Microsoft Azure, specifically enabling them to build and scale production-ready AI solutions. The Cloud Solution Architect will design and implement scalable solutions, optimize environments for AI workloads, and drive adoption of Azure services.

Senior Data Scientist role within Microsoft Advertising focused on defining and delivering metrics, experimental design, and product iteration to improve user and business value. The role involves partnering with engineering and product teams to solve complex data science problems and influence product improvements through data-driven insights and workflows.

This role focuses on evolving the Windows UI platform (WinUI) to be AI-native, enabling AI agents to author, refactor, and optimize UI code. It involves designing semantic models, stable abstractions, and predictable composition patterns for AI consumption, as well as facilitating migration and adoption through AI-assisted tooling. The goal is to create a declarative, dynamic UI foundation that supports personalization and agent-driven mutation, making it easier for web and SwiftUI developers to adopt and future-proofing for AI-generated code.

The role is for a Software Engineer on the Experimentation Platform team within CoreAI at Microsoft. This platform enables high-scale online experimentation for AI systems and product features, helping teams ship better AI experiences faster. The engineer will design, implement, and maintain reliable, scalable services and features for this platform, contributing to its operational excellence and supporting AI innovation across Microsoft.

This role is for a Principal/Senior Software Engineer on the Experimentation Platform team within CoreAI at Microsoft. The platform enables high-scale online experimentation to accelerate product learning and drive progress across Microsoft's AI ecosystem. The engineer will design and build services for rapid iteration in AI systems and product features, empowering others to measure impact and validate hypotheses. The role involves developing critical components of a large-scale experimentation platform, focusing on distributed systems, service reliability, and experimentation methodologies.

This role is for a Principal Software Engineer on the Experimentation Platform team within Microsoft's CoreAI division. The platform enables high-scale online experimentation for AI systems and product features, accelerating product learning and driving progress across Microsoft's AI ecosystem. The engineer will lead architecture and development of this critical infrastructure, focusing on systems that help teams ship better AI experiences faster through rigorous experimentation and responsible AI practices.

Senior Software Engineer to join the on-device ML team for the Edge browser. The role involves delivering on-device ML capabilities via web APIs, integrating models and runtimes into Edge, developing evaluation pipelines and datasets, and contributing to the Chromium project. The focus is on shipping AI-powered features to end-users.

Software Engineer II role focused on implementing advanced Identity and Access Management standards by leveraging emerging AI-forward technologies. The role involves improving AI tools and practices within the SDLC, incorporating Responsible AI, and experimenting with AI tools to enhance capabilities. It also emphasizes building scalable, secure solutions and adhering to modern software engineering practices, including the use of GenAI.

Senior Software Engineer role focused on implementing advanced Identity and Access Management standards by leveraging AI-forward technologies. The role involves improving AI tools and practices across the SDLC, incorporating Responsible AI, and using GenAI for coding and design.

This role focuses on designing, developing, and evaluating components for analog electronic devices, specifically within the Microsoft Quantum team. The engineer will define design approaches, technical specifications, and test requirements, leveraging industry-standard electronic design automation and electromagnetic simulation toolsets. A key aspect involves developing and refining process-design-kit (PDK) requirements for superconducting circuit technologies and collaborating with various teams to codesign for performance, scalability, and reliability. The role also includes leading the design and layout of superconducting cryogenic control and readout circuits and establishing physical-design, layout, and verification workflows. While the role mentions leveraging AI tools to accelerate discovery and drive innovation, the core craft is hardware engineering for quantum computing, not AI/ML model development.

This role focuses on building and scaling AI-powered growth systems for Microsoft's core AI products like GitHub Copilot and VS Code. The engineer will design, ship, and iterate on growth experiments, improve A/B testing frameworks, and use data to drive decisions, aiming to accelerate user adoption and engagement with AI features.

Senior Software Engineer role at Microsoft Azure Data engineering team, focusing on designing and building internal tools, engineering systems, and automation capabilities to enhance the quality and reliability of Power BI Desktop and Service. The role involves end-to-end tool development, including architecture, backend services, dashboards, telemetry integration, and AI-powered workflows, with a focus on integrating GenAI into developer workflows and modernizing engineering processes.

Principal Software Engineer focused on building AI-first growth and experimentation systems for Microsoft's CoreAI organization, which powers products like GitHub Copilot. The role involves architecting and implementing foundational engineering systems for measuring, experimenting with, and scaling AI experiences across Microsoft products, with a strong emphasis on engineering excellence, reliability, and driving measurable business outcomes.

Senior Site Reliability Engineer for Microsoft Teams Core Services Infrastructure and Security team, focusing on building and operating mission-critical distributed systems for real-time communication. Responsibilities include network security, gateway infrastructure, routing, load balancing, DNS, CDN, monitoring, and observability. The role involves hands-on implementation, design discussions, incident response, and continuous improvement using automation and potentially AI-enabled tooling.

Senior Software Engineer role on the Azure Data engineering team, specifically focusing on the Power BI business intelligence product. The role involves technical planning, implementation, and monitoring of features, collaborating with program managers and partner teams, and mentoring junior developers. While the core product is BI, there's an emphasis on building the data platform for the age of AI and leveraging generative AI for copilot automation.

This role is for a Principal Software Engineer on the Azure Data engineering team, focusing on building and maintaining core components of the control plane for Azure Database for MySQL. The team's mission is to build the data platform for the age of AI, powering a new class of data-first applications. The role involves technical leadership, architecture, design, development, and maintenance of large-scale distributed systems, with a focus on availability, performance, and operational simplicity. While the team's mission is AI-centric, the core responsibilities are in building and operating database services, not directly developing AI models or agents.

This role focuses on building and owning end-to-end technical vision and execution for infrastructure analytics within Microsoft AI. The primary responsibility is to turn raw telemetry into trusted insights on utilization, capacity, readiness, and efficiency, supporting leadership in making informed investment and planning decisions at scale. The role involves designing and building scalable data pipelines, defining core metrics, architecting self-service dashboards and APIs, and ensuring data quality and governance.

Senior Software Engineer role focused on building and scaling AI infrastructure within Azure's specialized division. The role involves using AI tools in the SDLC, reviewing code, debugging, and collaborating with partner teams to ensure end-to-end functionality, scalability, and performance of AI workloads on the Azure platform. Experience in High Performance Computing (HPC)/AI infrastructure is preferred.

This role is for a Cloud Solution Architect specializing in Security, focusing on driving customer transformation using Microsoft's security solutions like Purview Data Security, Sentinel, and Defender XDR. The role involves owning the technical relationship with enterprise customers, designing and implementing security architectures, and ensuring successful customer outcomes. It requires deep technical expertise in security, foundational AI, and cloud technologies, with a focus on Zero Trust, threat management, and SOC monitoring.

This role is for a Principal Consultant focused on the technical execution and delivery of complex client projects within Microsoft's Industry Solutions - Global Center Innovation and Delivery Center (GCID). The role emphasizes embedding AI-first principles and AI-native thinking into delivery models, leveraging AI tools like GitHub Copilot to drive engineering excellence and modernize applications. While AI is a significant theme and toolset, the core responsibility is project delivery and technical leadership, not direct AI model development or research.

Software Engineer for Microsoft Purview, focusing on data protection and governance solutions. The role involves using AI tools within the SDLC, contributing to architecture, and developing automation for production and deployment. It emphasizes cost-optimization and resource utilization for services.

This role is for a Senior Thermal & Mechanical Engineer focused on cryogenic ASIC integration for quantum computing. While the role mentions leveraging AI tools for efficiency and working in an AI-first environment, the core responsibilities and deliverables are in thermal and mechanical engineering for quantum hardware, not in building or directly applying AI/ML models.

Software Engineer II role focused on building an AI-powered engineering system for Windows OS updates, aiming for efficiency, scale, and re-bootless deployment. The role involves leveraging AI to solve engineering and scale problems, working with cloud-native applications on Azure, and utilizing OpenAI APIs or similar LLM platforms. Requires strong understanding of Windows OS internals and experience with databases.

This role is for a Senior Software Engineer on the Microsoft Azure High Performance Computing & AI Engineering team, responsible for managing the core platform and fleet of AI High Performance Computing products. The role involves designing and developing capabilities to monitor and operate supercomputers at scale, diagnosing and troubleshooting large-scale systems, and creating data pipelines for telemetry and alerts. While the role supports AI customers and uses AI HPC products, the core craft is infrastructure engineering and operations, not direct AI/ML model development.

This role is for a Principal Consultant focused on AI-first infrastructure delivery. The consultant will lead the technical execution of complex client projects, embedding AI-native thinking into delivery models. Responsibilities include designing, building, and optimizing cloud and on-premises infrastructure solutions, leveraging automation and intelligent orchestration, and ensuring secure, scalable, and high-performing environments. The role requires proficiency in Python for AI integration and scripting, and experience with Azure AI Services.

This Principal Consultant role focuses on leading the technical execution and delivery of complex client projects, with a strong emphasis on embedding AI-first principles and leveraging AI tools like GitHub Copilot across the software development lifecycle. The role involves architectural ownership, driving engineering excellence, and ensuring solutions are intelligent, scalable, and aligned with business outcomes within an enterprise context.

Senior Software Engineer role focused on developing and operating services for Microsoft Devices (Surface, Xbox), involving supply chain, manufacturing, and delivery. The role emphasizes using AI tools within the SDLC, code reviews, debugging, system architecture, and automation, with a focus on product delivery and operational excellence.

Senior Software Engineer (full-stack) for Microsoft's MSN team, focusing on creating impactful web experiences for over 1 billion users. The role involves technical leadership, collaborating with frontend and backend teams, designing, coding, and operationalizing experience and services at hyper scale. Experience with modern front-end frameworks, cloud architecture, and A/B experimentation is required. The role contributes to a personalized content feed that leverages AI/ML for content moderation, personalization, and content entry points.

Software Engineer role focused on accelerating the adoption of Copilot and Microsoft 365 by delivering embedded experiences across the Microsoft 365 suite. The role involves designing and developing end-to-end features, scaling Azure-hosted services, or delivering high-performance native experiences, with a focus on customer-centric design and data-informed decision-making to drive business growth.

Software Engineer II role focused on designing and building next-generation networking infrastructure for large-scale AI training and inference in Azure Cloud. The role involves developing high-performance, low-latency, and reliable networking capabilities to support distributed AI workloads, working at the intersection of AI and high-performance computing.

Software Engineer role focused on full-stack and low-code development, integrating AI agents into production services, and building scalable business applications using cloud technologies like Azure and Power Platform. The role involves designing, developing, and deploying solutions, collaborating with stakeholders, and ensuring quality and compliance.

This role focuses on building and scaling the backend platform for Microsoft's consumer AI products, specifically powering Copilot. It involves designing, developing, and maintaining AI Platform services, collaborating with AI researchers and engineers, and ensuring the reliability and scalability of platform components. The role requires strong experience in backend technologies, public cloud infrastructure, and production software development.

This role is for an iOS engineer on the Native Engineering team responsible for building the core experience of Microsoft's AI assistant, Copilot, on iOS. The role focuses on developing consumer-grade mobile applications and collaborating with product management, design, and AI research teams to deliver AI-powered features to users.

Backend engineer for Microsoft's Copilot AI assistant, focusing on building APIs for mobile apps, optimizing user growth, engagement, and retention. Collaborates with various teams to deliver scalable infrastructure and impactful results in a fast-paced consumer product environment.

Senior Software Engineer in the Applied Sciences Group (ASG) at Microsoft, focusing on creating innovative, machine learning-powered features across Windows and other Microsoft products. The role involves end-to-end feature development, from ideation to deployment, and collaborating with researchers and designers to deliver user-centered solutions. Experience with ML models in production, semantic search, and voice interaction is a plus.

This role is for a Technical Program Manager focused on compute infrastructure for large-scale AI/ML training and serving of foundation models. The role involves driving projects, collaborating with various teams, leveraging data for optimization, and advocating for resource needs. It is part of Microsoft AI's Superintelligence Team, aiming to push the boundaries of AI while ensuring control and safety.

This role focuses on ensuring the reliability, performance, and availability of large-scale AI training infrastructures, specifically GPU clusters. It involves designing and developing hardware health monitoring and diagnostic frameworks, building predictive analytics pipelines using telemetry data, and leading incident triage for hardware anomalies. The goal is to drive automation in health management and partner with cross-functional teams to improve hardware design for reliability.

Senior Security Researcher role focused on researching emerging attack vectors, analyzing detection/prevention gaps, and designing/developing solutions. The role involves guiding the design of AI-based solutions for security problems and has a preferred qualification in AI workflows or generative AI/LLM frameworks. The primary focus is on building security solutions, with AI being a tool to achieve that.

This role is for a Senior Security Research Engineer on the Microsoft Defender Experts Team. The primary focus is on detecting, investigating, and responding to advanced attacks and data breaches using Microsoft 365 Defender and rich telemetry. The role involves analyzing attacker behaviors, generating custom alerts, building new tools and automations for hunting, and driving innovations in detecting advanced attacker tradecraft. While AI/ML might be used as a tool, the core craft is cybersecurity detection and response, not building AI models.

Senior Software Engineer to lead telemetry for a quantum computing system, focusing on instrument and application telemetry. The role involves designing and implementing data collection, ensuring observability, and using AI-assisted workflows for debugging and operational insights. This is an engineering role focused on building the infrastructure for a complex scientific system.

Senior Embedded Software Development Engineer to build core embedded software for quantum readout instruments, interfacing with FPGA/SoC hardware. The role involves designing, developing, and testing C++ systems for controlling and measuring topological qubits, focusing on high-performance data paths, hardware-software integration, and reliable, diagnosable services. Collaboration with quantum experimentalists and FPGA engineers is key. The role mentions leveraging AI tools for innovation and efficiency, and familiarity with building AI agents/copilots is listed as a requirement.

Principal Customer Experience Engineer for Microsoft Security Cloud, focusing on pre-sales, solution architecture, delivery, and program improvements. The role involves strategic technical leadership, customer advocacy, and identifying systemic issues, with an emphasis on adapting and using AI to improve repeatability and scale.

Software Engineer role at Microsoft Quantum focused on developing system software for scalable commercial quantum computers, integrating high-performance computing and AI, and implementing novel algorithms for computationally hard problems, including quantum error correction.

This role is for a Principal Engineering Manager on the GitHub Enterprise Server (GHES) Release team, responsible for critical parts of the GHES release pipeline, including OS and container builds, package generation, integration test environments, and distribution of release artifacts. The manager will define technical and operational priorities, drive execution, and partner across engineering organizations to ensure GHES ships as a high-quality, secure, and dependable appliance for enterprise customers.