Overview

Microsoft has an exciting opportunity for a Software Engineer in the Cloud+AI Azure Data Team. Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. Our products our portfolio include Microsoft Fabric, Power BI, Azure Synapse Analytics, Azure SQL Databases, Azure Cosmos Databases, Azure PostgreSQL, Azure Data Factory, Azure Service Bus, Azure Event Grid. Our mission is to build a data platform for the age of AI, powering a new class of data-first applications and driving a data culture. This team will be responsible for deploying and operating our Azure Data services in a Secure Work Area, including the infrastructure for collaboration within an Air-Gapped environment.

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

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

The scale of our operations is enormous. Microsoft's products and services are overwhelmingly consumed online, and billions of people use them every day. We need people who enjoy analyzing complicated problems, coming up with creative solutions, working in focused teams to build things no-one has thought of before, all in the service of production reliability.

• Acts as a Designated Responsible Individual (DRI) working on call to monitor service for degradation, downtime, or interruptions. Alerts stakeholders as to the status and gains approval to restore system/product/service for simple problems. Responds within Service Level Agreement (SLA) timeframe. Escalates issues to appropriate owners.
• Contributes to efforts to collect, classify, and analyze data with little oversight on a range of metrics (e.g., health of the system, where bugs might be occurring). Contributes to the refinement of product features by escalating findings from analyses to inform decisions regarding the engineering of products.
• Contributes to the development of automation within production and deployment of a complex product feature. Runs code in simulated, or other non-production environments to confirm functionality and error-free runtime for products with little to no oversight.
• Contributes to efforts to ensure the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility. Checks for visible evidence to demonstrate compliance for product areas. Develops and holds an understanding of the implications of onboarding new technologies following expectations of compliance at Microsoft.
• 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.
• Applies best practices to reliably build code that is based on well-established methods. Follows best practices for product development and scaling to customer requirements and applies best practices for meeting scaling needs and performance expectations.
• Maintains communication with key partners across the Microsoft ecosystem of engineers. Considers partners across teams and their end goals for products to drive and achieve desirable user experiences and fitting the dynamic needs of partners/customers through product development.
• Maintains operations of live service as issues 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 as necessary. Reviews and writes issues postmortem and shares insights with the team.
• Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor 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.
• Drives efforts to integrate instrumentation for gathering telemetry data on system behavior such as performance, reliability, availability, usage, and safety mechanisms. Drives sustaining feedback loops from telemetry resulting in subsequent designs. Creates outputs of telemetry such as notifications or dashboards.
• Drives efforts to collect, classify, and analyze data on a range of metrics (e.g., health of the system, where bugs might be occurring). Drives the refinement of products through data analytics and makes informed decisions in engineering products through data integration.
• Builds, enhances, reuses, contributes to, and identifies new systems
• Embody our culture and values.

Qualifications

Required Qualifications:

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

Other Requirements:

Security Clearance Requirements: Candidates must be able to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

• Candidates must have an active TS/SCI (with polygraph). This role will require candidates to maintain the TS/SCI (with polygraph) clearance. Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. Failure to maintain or obtain the appropriate clearance and/or customer screening requirements may result in employment action up to and including termination.
• Clearance Verification: This position requires successful verification of the stated security clearance to meet federal government customer requirements. You will be asked to provide clearance verification information prior to an offer of employment.
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
• Citizenship & Citizenship Verification:  This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.

Preferred Qualifications:

• Experience working on large-scale distributed services with on-call responsibilities.
• Ability to build and influence broadly towards common goals and priorities.
• Ownership of end-to-end project lifecycle with solid project management and communication skills.

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Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

We are looking for a full stack Azure Data Engineer to serve as the primary technical partner for our Legal Business Operations team. This is a hands-on role focused on deeply understanding the end-to-end technology stack that supports legal operations and provides technical guidance and support on platform modernization using AI.

You will be the person who knows how all the pieces connect: how data flows between systems, where integrations are fragile, what the downstream impact of a schema change is, and how to evaluate whether a new tool or approach is worth adopting. You will manage proof-of-concept evaluations, support production operations, and act as the bridge between legal operations stakeholders and engineering resources.

This is not a pure backend engineering role. It requires someone who is equally comfortable digging into data pipelines, troubleshooting a dashboard, and walking a non-technical stakeholder through the implications of a platform migration.

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

Technology Stack Ownership & Operations

• Develop and maintain a deep, end-to-end understanding of the legal business operations technology stack — including case management platforms, document management systems, workflow automation tools, dashboards, and reporting infrastructure
• Serve as the go-to technical expert for how systems are configured, how data flows between them, and how changes in one system affect others downstream
• Monitor system health, data quality, and pipeline reliability; proactively identify and resolve issues before they impact operations
• Own technical documentation:  system architecture diagrams, data flow maps, integration specifications, and operational runbooks
• Manage and coordinate system updates, configuration changes, and data migrations with minimal disruption to end users

Proof-of-Concept Management & Evaluation

• Lead proof-of-concept evaluations for new tools, platforms, and technical approaches, scoping and requirements gathering through hands-on prototyping and stakeholder demo
• Define clear success criteria for each proof of concept; collect and analyze data to produce objective recommendations on whether to adopt, iterate, or abandon.
• Manage the transition from successful proof of concept to production deployment, including integration planning, data migration, testing, and rollout.
• Stay current with emerging technologies relevant to legal operations, including low-code platforms, AI-assisted document review, workflow automation, and data analytics tools.
• Evaluate vendor offerings and third-party solutions against build-vs-buy criteria, total cost of ownership, and long-term maintainability.

Data Engineering & Pipeline Development

• Design, build, and maintain data pipelines that ingest, transform, and deliver data across the legal operations technology stack
• Build and optimize data models and schemas to support reporting, analytics, and operational workflows
• Implement data quality checks, validation rules, and monitoring to ensure accuracy and completeness of operational data
• Develop and maintain integrations between systems (APIs, file-based transfers, event-driven workflows) to keep data synchronized and current
• Support ad hoc data requests, extracts, and analysis for legal operations stakeholders

Stakeholder Partnership & Communication

• Act as the primary technical liaison between the legal business operations team and engineering, data science, and platform teams
• Translate business requirements into technical specifications and vice versa — making complex technical concepts accessible to non-technical stakeholders
• Participate in planning and prioritization discussions, providing technical feasibility assessments and level-of-effort estimates
• Coordinate with external vendors and consulting partners on technical deliverables, data access, and integration requirements
• Proactively surface risks, dependencies, and technical debt to stakeholders with clear recommendations

Qualifications

Required Qualifications

• Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ 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 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.

Preferred 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.
• 2+ years experience with data governance, data compliance and/or data security.
• Proficiency in SQL and Python for data processing, pipeline development, and analysis
• Hands-on experience building and maintaining data pipelines on cloud platforms (Azure, AWS, GCP, or similar)
• Demonstrated ability to understand and document complex multi-system technology environments end to end
• Experience managing or contributing to proof-of-concept or pilot evaluations of new technologies
• Familiarity with API design, integration patterns (REST, event-driven), and middleware
• Exposure to AI/ML tools or agentic workflows for document processing, search, or automation
• Experience supporting legal, compliance, or business operations teams in a technology capacity
• Understanding of data governance, privacy requirements, and access control in regulated or sensitive environments
• Project management skills or experience with agile methodologies

Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

As a Senior Research Engineer at Microsoft, you will advance Microsoft’s mission to empower every person and every organization to achieve more. You will help build and integrate cutting-edge AI into Microsoft products and services within Experience + Devices (E+D) org, ensuring solutions are inclusive, ethical, and impactful. This role blends applied research, machine learning engineering, and product innovation. You will lead efforts to ship reliable, production-grade AI systems across the stack, from model development and fine-tuning to performance optimization and deployment.

We are in an era of unprecedented AI innovation. As Microsoft leads the way in foundation models, multimodal systems, and AI agents, our goal is to build an open architecture platform where users can interact with tailored AI agents that drive tangible, real-world outcomes. As a Senior Research Engineer, you will:

• Bridge the gap between state-of-the-art research and customer-facing features

• Drive systems-level innovation across models, infrastructure, and deployment

• Champion responsible AI by embedding fairness, safety, privacy, and performance from the ground up

Responsibilities

Bringing State-of-the-Art Research to Products

• Design and implement AI systems using foundation models, prompt engineering, retrieval-augmented generation, multi-agent architectures, and classic ML

• Fine-tune large language models on domain-specific data and evaluate via offline and online methods such as A/B testing, telemetry, and shadow deployments

• Build and harden prototypes into production-ready services using robust software engineering and MLOps practices

• Drive original research and thought leadership (whitepapers, internal notes, patents); convert insights into shipped capabilities

• Research Translation: Continuously review emerging work; identify high-potential methods and adapt them to Microsoft problem spaces

End-to-End System Development

• ML Design & Architecture: Own end-to-end pipeline from data prep, training, evaluation, deployment, and feedback loops

• Identify and resolve model quality gaps, latency issues, and scale bottlenecks using PyTorch, or TensorFlow

• Operate CI/CD and MLOps workflows including model versioning, retraining, evaluation, and monitoring

• Integrate AI components into Microsoft products in close partnership with engineering and product teams

Data-Driven Innovation

• Evaluation & Instrumentation: Build robust offline/online evals, experimentation frameworks, and telemetry for model/system performance.

• Learning Loop Creation: Operationalize continuous learning from user feedback and system signals; close the loop from experimentation to deployment.

• Experimentation & E2E Validation: Design controlled experiments, analyze results, and drive product/model decisions with data.

• Develop proofs of concept that validate ideas quickly at realistic scales

• Curate high-signal datasets, including synthetic and red-team corpora, and establish labeling protocols and data quality checks tied to evaluation KPIs

Cross-Functional Collaboration

• Partner with software engineers, scientists, designers, and product managers to deliver high-impact AI features

• Translate research breakthroughs into scalable applications aligned with product priorities

• Communicate findings and decisions through internal forums, demos, and documentation

Responsible AI & Ethics

• Identify and mitigate risks related to fairness, privacy, safety, security, hallucination, and data leakage

• Uphold Microsoft’s Responsible AI principles throughout the lifecycle

• Contribute to internal policies, auditing practices, and tools for responsible AI

Operating Altitudes

• Paper level (ideas and math): Read, critique, and adapt the latest research; identify gaps; design methods with clear trade-offs and guarantees; communicate complex ideas clearly. 
  Example: “This objective is brittle under our data regime. Here is a tighter analysis and a revised loss we can test this sprint.”

• Code level (implementation): Turn ideas into robust, tested, maintainable modules; integrate with CI/CD; profile and optimize for latency and throughput. 
  Example: “Refactored the prototype into a reusable PyTorch component, added unit tests and benchmarks, and cut P95 inference latency by 30%.”

Specialty Technical Areas

• Large-scale training and fine-tuning of LLMs, vision-language, or multimodal models

• Multi-agent systems, dialogue agents, and copilots

• Optimization of inference speed, accuracy, reliability, and cost in production

• Retrieval systems and hybrid architectures using RAG and vector databases

• ML for real-world data constraints such as missing data, noisy labels, and class imbalance

Qualifications

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field and 4 or more years in applied ML or AI research and product engineering,

• OR Master’s degree and 3 or more years in applied ML or AI research and product engineering,

• OR PhD in a relevant field and 2 or more years with generative AI, LLMs, or related ML algorithms

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

• PhD in AI/ML or related field with top-venue publications and/or patents

• Experience with Microsoft’s LLMOps stack: Azure AI Foundry, Azure Machine Learning, Semantic Kernel, Azure OpenAI Service, and Azure AI Search for vector/RAG

• Familiarity with responsible AI evaluation frameworks and bias mitigation methods

• Experience across the product lifecycle from ideation to shipping

• Proficiency in Python and at least one deep learning framework such as PyTorch, JAX, or TensorFlow
• Experience deploying Fine Tuned LLMs or multimodal models in live production environments
• Experience shipping and maintaining production AI systems

CXAJOBS

BICJOBS

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

AI evaluations are at a critical inflection point. Static benchmarks are saturated; benchmarks like MMLU, HumanEval, and SWE-Bench have reached their limits as models become increasingly familiar with public test data, and capable of autonomously finding answer keys online. The gap between benchmark scores and real developer experience is growing, making it hard to understand which problems are truly ‘solved’, and which are worth deeper investment.

GitHub is uniquely positioned to lead the industry through this transition. We have direct feedback and deep insight into real production workflows from millions of developers, and the scale to build evaluation systems that truly reflect developer success. We’re looking for a Principal Technical Program Manager to help us build the future of AI evaluation.

The Applied Science team for GitHub Copilot sits at the intersection of frontier AI research and the world's largest developer platform. We ship AI-powered experiences (ex: code completion, code review, coding agents) used by millions of professional developers every day.  As a member of the team, you will help lead GitHub Copilot's AI evaluation strategy end-to-end — from benchmark design and lifecycle governance, through evaluation infrastructure and internal adoption, to community engagement and public transparency. You are the person who ensures that every model swap, product harness, and feature launch is measured against what actually matters to developers — and that the world can see the results.

Responsibilities

In this role you’ll:

• Partner with Applied Science researchers to translate cutting-edge evaluation research into production systems: adaptive testing (IRT), agent-centric co-evolution, adversarial benchmarking, and telemetry-driven benchmark generation.

• Lead the deprecation of saturated benchmarks and design their next-generation replacements — including procedurally-generated code evaluations that can't be memorized and adaptive testing systems that skip trivial questions for frontier models.

• Build GitHub's community benchmark submission program — enabling external researchers, enterprises, and open-source developers to contribute domain-specific evaluations — and publish GitHub's first external benchmark transparency reports showing how models perform on real developer workflows.

• Design and operationalize multi-tier evaluation frameworks — from fast automated regression suites and LLM-as-judge systems, through expert human evaluation, to production A/B testing — so teams can iterate in hours, not weeks.

• Design feedback-to-benchmark pipelines that convert thumbs-down signals, user frustrations, and support tickets into candidate regression tests — systematizing informal practices into scalable, automated systems.

• Establish evaluation as a first-class discipline across GitHub Copilot — creating the rituals, dashboards, and communication cadences that make evaluation results accessible and actionable for every team.

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.

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

Preferred Qualifications

• 5+ years of experience in technical program management, product management, applied science, or equivalent
• 2+ years managing programs in machine learning, AI/ML evaluation, or data science
• 2+ years managing cross-functional and/or cross-team projects

• Deep, firsthand experience with AI/ML evaluation methodologies: benchmark design and validity, human evaluation frameworks, automated scoring systems (including LLM-as-judge), A/B testing, and statistical significance.

• Deep personal experience with AI coding tools — you use Copilot, Cursor, Claude Code, or similar tools daily and have strong opinions about what "good" looks like from a developer's perspective.

• Understanding of software engineering workflows at scale — code review, CI/CD, testing, debugging, refactoring — and how AI tools should integrate into each.

• Experience with community or open-source program management — contributor programs, external research partnerships, or developer relations in a technical context.

• Proven ability to navigate competing priorities across teams and build shared commitment to common goals in ambiguous, fast-moving environments.

• Track record of building evaluation systems that directly influenced product or model shipping decisions at scale.

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.

Overview

The Microsoft Content team powers AI-driven experiences for more than 1B users across Copilot, Bing, Edge, Windows, and Xbox. We are seeking a Principal Software Engineer to define and lead the technical direction for the next generation of intelligent, large-scale content platforms.

In this role you will be responsible for shaping multi-year technical strategy, driving architectural coherence across organizations, and building systems that serve as foundational platforms for multiple product surfaces.

You will lead the design and evolution of distributed backend systems, cloud-native infrastructure, and data platforms that operate at global scale with strict requirements for availability, latency, security, and cost efficiency. These systems form the backbone for intelligent user experiences and must be designed for long-term extensibility and operational excellence.

Building on this foundation, you will guide the integration of LLM-powered capabilities into production systems—defining patterns for retrieval, orchestration, evaluation, and responsible AI. You will ensure these capabilities are not isolated features, but deeply embedded, reliable, and scalable parts of the platform.

This role requires exceptional technical judgment, the ability to operate in highly ambiguous spaces, and a track record of influencing across teams and organizations. You will work closely with engineering leaders, product leaders, and applied scientists to align technical investments with long-term business outcomes.

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

• Technical Strategy & Architecture Leadership
• Define and drive long-term technical strategy for large-scale distributed systems and platforms spanning multiple teams and organizations.
• Establish architectural principles, patterns, and standards that ensure consistency, scalability, and maintainability across services.
• Lead the design of system-of-systems architectures, integrating services, data, and AI capabilities into cohesive platforms.
• Make high-impact technical decisions that balance innovation, risk, cost, and long-term sustainability.
• Platform & Systems Ownership
• Architect and evolve backend services, APIs, data infrastructure, and platform capabilities that operate at global scale.
• Ensure systems meet stringent requirements for availability, latency, throughput, security, privacy, and cost efficiency.
• Drive operational excellence through observability, resiliency design, incident management, and continuous improvement.
• Identify and eliminate systemic inefficiencies across services, infrastructure, and development workflows.
• AI Systems Integration & Evolution
• Define how LLMs and intelligent systems are integrated into core platform architecture (not as isolated features).
• Establish patterns for retrieval, grounding, orchestration, memory, and tool use in production systems.
• Lead the design of evaluation frameworks for quality, safety, latency, reliability, and business impact.
• Ensure responsible AI practices, including safety, privacy, and governance, are embedded into system design.
• Cross-Org Influence & Execution
• Influence technical direction across teams, organizations, and partner groups without direct authority.
• Drive alignment between engineering, product, and applied science on platform strategy and execution.
• Lead complex, multi-team initiatives from concept through delivery, ensuring clarity, momentum, and results.
• Represent technical strategy and progress to senior leadership.
• Engineering Excellence & Talent Development
• Raise the engineering bar across the organization through design reviews, technical mentorship, and standards setting.
• Act as a role model for deep technical rigor, high-quality execution, and end-to-end ownership.
• Mentor senior engineers and emerging leaders, helping grow the next generation of technical talent.
• Foster a culture of innovation, accountability, and continuous improvement.

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:

• Master'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 Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• Proven track record of architecting and delivering large-scale distributed systems or platforms used by millions of users.
• Deep expertise in backend systems, cloud-native architecture, and service-oriented or microservices-based design.
• Experience owning and evolving production systems with high availability, low latency, and solid operational rigor.
• Solid fundamentals in system design, distributed systems, data modeling, and performance optimization.
• Demonstrated ability to drive technical strategy and influence across multiple teams or organizations.
• Experience leading complex, ambiguous, and high-impact technical initiatives end-to-end.

MicrosoftAI #technicalLeadership #MAI #Content #DistributedSystems #LLM #AI #Agent

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.

Overview

The Microsoft AI Web Data team is looking for a Principal Software Engineer to help us build the next generation platform for Bing and Microsoft AI. In Web Data, we are on a mission to build the most vast, safe, and accurate model of the Web to power search and AI. We are pushing frontiers of scalability and index quality by creating models and systems for discovering, storing, processing Web content, protecting our users & platform from Spam, Scams, and malware by keeping a step ahead of bad actors, and operating AI solutions. Our core set of engineering challenges includes:

• Discovering diverse content on the Web quickly and efficiently by understanding the structure and dynamics of the Web and optimizing crawl scheduling
• Building Big Data pipelines, creating ML and AI models for index selection, and determining document quality
• Building complex, Big Data pipelines, creating and deploying ML & AI models at Web scale for improving Safety by recognizing various forms of SEO Spam, Scams, Malicious webpages with exceptional Precision and Recall despite the rarity, and constant adversarial battle against bad actors.
• Designing and implementing models and pipelines for near-real time (NRT) indexing and content freshness
• Designing and implementing methods for leveraging AI in platform and backend solutions

This is a great opportunity for someone who loves to tackle deep technical challenges and strives for industry-wide impact. Someone who has the skill, will, and perseverence to steer a highly complex system, with many interdependencies, towards a better design. At this role, you would be advancing the platform and pipelines that powers the MAI Web Data's Safety systems, in a fundamentally new, modern direction. You'd be instantiating new technology into production to address Web Data product needs of the future. You will work on the design, development, execution, and implementation of technology at massive scale. You will work with Applied Scientists to develop, evaluate, operate, and/or deploy algorithms and solutions to improve or contribute to the creation of features and models with the highest system performance, quality, data management, and accuracy.

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

• You will partner with stakeholders within Safety, Web Data, and partner teams, to determine requirements, lead the identification of dependencies and the development of design documents, and drive project plans, release plans, and work items.
• You will lead by example, and mentor other engineers to produce extensible, scalable, high performance, resilient, and maintainable design and code.
• You will inspire accountability as a Designated Responsible Individual (DRI), mentoring engineers across teams, monitoring system/product/service for degradation, downtime, or interruptions, and proactively improving them.
• You will promote innovation and engineering excellence by seeking and sharing new knowledge and adapting to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale, and sharing knowledge with other engineers and improving developer agility.

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.

Additional or Preferred Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Python
• 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 equivalent experience.
• Experience with processing Terabyte to Petabyte scale data with efficient algorithms for feature engineering, and experience with optimizing for high inference ROI and deploying AI/ML models including, but not limited to, Decision Tree and Forest models, encoder only and generative LLM/SLM models, multi-modal models, on NVIDIA, AMD, TPU or equivalent accelerators.
• 3+ years of hands-on experience working with big data technologies (e.g., Hadoop, Spark, Kafka) or building highly scalable backend systems (e.g., distributed systems, microservices architecture, cloud-native services)
• Familiarity with Search stack and Grounding stack for AI Assistants, black-hat SEO and malicious techniques targeting traditional & generative search, and AI Assistants.

Search

MicrosoftAI

MAI

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

We are looking for a Software Engineer II - Azure Storage who is passionate about building and optimizing a world class distributed file system. If you love large scale distributed systems, love to work on new projects where you can define the work, scope, direction, and architect new solutions to make an impact on a massive product like Azure Storage, this could be position for you! You will have an opportunity to make high impact changes on a daily basis as you build a hyperscale storage system.

You would be joining a talented, highly collaborative team, with responsibility for engineering the lowest most fundamental layers of the Azure storage service. You will be working on the next generation storage platform being built on storage servers with Data Processing Units (DPU). The role brings exposure to cutting edge storage, memory, networking, and distributed system technologies, with broad opportunity to influence both the business and the industry. The team is responsible for the meta-data data service as well as storing the data across storage servers while ensuring high availability, reliability, durability, and cost efficiencies.

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

• 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 2+ years  technical engineering experience with coding in languages including, but not limited to, C, C++,  or Java
• OR equivalent experience.
• 1+ year(s) of experience in software engineering practices, coding and solid foundation in data structures and algorithms, with problem solving, debugging and analytical skills.
• 1+ year(s) of proficiency in Storage, File-Systems, Distributed Systems, Operating Systems, Networking, or Applications at scale.

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 2+ 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 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• 1+ year(s) proficiency in building and operating services at scale.

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.

Overview

We’re transforming the way Windows engages and supports our most important Commercial customers to drive product adoption, quality and innovation. We do it through deep customer connections, informed by data and accelerated with the power of AI. If you want to be at the center of this transformation, this is the role for you.

As a Senior Customer Experience Program Manager, you’ll be a key driver behind the success of Microsoft’s Mission Critical Services for Windows; supporting customers, partnering with engineering leaders, product teams, and cross-functional stakeholders to unlock the full potential of Windows for these premium Commercial customers. You’ll orchestrate seamless service delivery, coordinate rapid response to customer incidents and champion feedback loops that shape future improvements of the Windows product.

You will develop and leverage diagnostic insights, AI and deep technical expertise to optimize Windows functionality, and overall reliability; ensuring customers experience the best of Windows every day.

Your Impact:
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. In this role, you’ll embody that mission, driving innovation, building trust, and creating outcomes that matter. Join us and make your mark on the future of Windows.

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

Senior Customer Experience Program Manager, within Microsoft Mission Critical Services (MCS) for Windows; responsible for leading strategic customer engagements that drive adoption, satisfaction, and feedback for Windows enterprise solutions. You’re expected to:

• Lead end-to-end customer engagement lifecycles, from onboarding through delivery and retention, ensuring alignment with program goals and excellence in execution.
• Orchestrate capability delivery by coordinating engineering escalations, critical project advisories, and post-incident reviews to resolve issues and improve service reliability.
• Facilitate regular service reviews, change communications, and governance syncs to maintain transparency and drive customer success.
• Advocate for customer needs by capturing and relaying feedback to engineering and product teams, facilitating customer feedback sessions, and submitting design change requests, when needed.
• Drive program growth by identifying improvement opportunities, supporting sales engagements, and managing onboarding readiness across stakeholders.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 4+ years experience in engineering, product/technical program management, data analysis, or product development
• OR equivalent experience.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Proven experience in enterprise customer engagement, technical account management, or program delivery roles.
• Proven experience managing complex customer engagements involving Windows Client/Server environments, including update servicing, deployment, and support coordination.
• Demonstrated expertise in incident management, escalation handling, and post-incident analysis (e.g., PIR, RCA).
• Demonstrated commitment to customer success, with a proactive approach to identifying and resolving customer pain points across Windows and Microsoft 365 environments.
• Experience leveraging Microsoft support and telemetry tools (e.g., IcM, CRM, Service Reviews) to drive insights and improve customer outcomes.
• Familiarity with scripting and automation (e.g., PowerShell) to streamline customer engagement processes and enhance service delivery.
• Working knowledge of enterprise device management to support customer modernization and deployment goals.
• Solid understanding of Windows servicing architecture and enterprise deployment tools (e.g., Intune, ConfigMgr).
• Ability to collaborate with engineering and support teams to advocate for customer needs and influence product improvements.

WINDOWS #CUSTOMERSUCCESS

Customer Experience Program Mgmt IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Are you interested in working on cutting-edge cloud security products? Would you like to be part of one of the world’s most advanced cyber-security solutions and protect millions of computers from thousands of active attack attempts, every month?

Look no further than the Microsoft Defender engineering team. Defender is looking for a Software Engineer to join our team. You will be building and delivering cloud solutions to meet the scale that few companies in the industry are required to support. Leveraging state-of-the-art technologies, you will be instrumental in delivering holistic protection within government environments.

The Microsoft Defender team is responsible for delivering a constantly evolving set of services and solutions to meet the challenging landscape of our ever-evolving attackers.

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

• Build and improve services to be scalable and highly reliable.
• Help deliver and improve engineering systems and practices to deliver services in complex cloud environments.
• Contribute to design and automate service scale features and customer requirements.
• Investigate pre-production and production issues, implement, and deploy fixes.
• Participate in an on-call rotation (typically 24/7 for one week every 6-8 weeks) within a secure facility.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

Other Requirements:

Security Clearance Requirements: Candidates must be able to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

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

Preferred Qualifications:

• Understanding and experience with CI/CD concepts and Git
• Some exposure or working knowledge with Docker, Kubernetes or other containerization technologies
• Some exposure or working knowledge debugging issues ranging from the operating system, application, and all the way to the cloud
• Some exposure or working knowledge with building and supporting large-scale production services, including logging, monitoring, alerting, and measuring reliability and availability
• Some exposure or working knowledge with Azure DevOps and GitHub tooling
• Demonstrated communication skills and ability to collaborate in a multi-disciplinary team consisting of Software Engineers, Program Managers, Security Researchers, and Data Scientists

Software Engineering IC2 - The typical base pay range for this role across the U.S. is USD $84,200 - $165,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $109,000 - $180,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

With more than 45,000 employees and partners worldwide, the Customer Experience and Success organization is on a mission to empower customers and partners to accelerate business value through differentiated experiences that leverage Microsoft’s products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers’ and partners’ expectations in every interaction, whether in-product, digital, or human-centered. CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft’s portfolio of solutions and products. Join CE&S and help us accelerate AI transformation for our customers and the world.

We are looking for a Senior Cloud Solutions Architect aligned to Microsoft's Partner Solutions Architecture (PSA) team. In this role you will drive partner‑led AI adoption by enabling partners to design, build, and scale responsible AI‑powered solutions on Microsoft Cloud and AI platforms. The focus is on helping partners translate AI capabilities into secure, scalable, and outcome‑based offerings, including agentic solutions, copilots, and AI‑powered applications that integrate with customer and partner data, business processes, and existing systems aligned with measurable business impact.

The AI‑focused PSA serves as the technical AI authority for partners, guiding solution architecture, extensibility, governance, and readiness to deliver differentiated business outcomes using Microsoft’s AI platform.

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

What You’ll Do

• Enable partners to design and build AI, agentic, and copilot‑based solutions using Microsoft AI platforms
• Provide architecture guidance, best practices, and hands‑on technical enablement across AI workloads
• Help partners address gaps in solution design, readiness, governance, security, and Responsible AI
• Support the evolution from traditional applications to AI‑driven, agent‑based, and conversational experiences
• Guide partners in creating repeatable, transactable, outcome‑based AI offerings, not one‑off projects

Why This Role Matters

As AI rapidly reshapes how customers build software and run their businesses, this role sits at the center of Microsoft’s partner‑led AI scale strategy. You help partners move from experimentation to production, from demos to durable offerings, and from technology delivery to measurable business impact, accelerating customer success and Microsoft AI adoption at scale.

Qualifications

Required Qualifications

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.

Other Requirements

• ​This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.

Preferred Qualifications

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 8+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR Master's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 6+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
• 4+ years experience working in a customer-facing role (e.g., internal and/or external).
• 4+ years experience working on technical projects.
• Microsoft certifications in Artificial Intelligence and Business Applications are highly valued.

Cloud Solution Architecture IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 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 $137,600 - $222,600 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.