Microsoft Ads 3rd Party Ads Solutions and Data Management Platforms is building the next innovative platform for AI-driven advertising. Our team empowers internal engineering teams through secure, scalable, and cost-effective on-prem and cloud infrastructure solutions. We are looking for a Senior Software Engineer who will help us maintain and evolve foundational Kubernetes and Azure platform capabilities that enable the Xandr on-prem to Azure migration to complete on time and ensure the resulting platform is stable, secure, and maintainable over the long term. 

As part of the Platform Engineering team, you will partner with engineering teams, architects, and product groups to design, implement, and evangelize cloud and Kubernetes platform best practices, all while staying curious and open to trying new ideas. 

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.

• Leads Infrastructure Design and Architecture: Analyze and understand challenges in on-prem and Azure platform and infrastructure solutions. Develop and build durable solutions for present and future states. Own the technical approach to create and improve architecture. Deeply understand evolving security risk, security research, and security tradeoffs associated with engineering patterns and approaches. 
• Guide cross-functional teams through architectural discussions and decision-making for solution components, including design, compliance, scaling, and cost considerations. 
• Develop and present architecture and design proposals: lead the testing and validation of hypotheses and proposed solutions. 
• Drive AKS enablement and workload onboarding: Support engineering teams transitioning to AKS by driving standardized onboarding tools, pipelines, Terraform modules, runbooks, and migration guides, and providing hands-on guidance. 
• Drive cross-cutting platform initiatives: Partner across teams to enable testing, workload certification, and migration programs and unblock adoption at scale. 
• Author Well-Designed, Scalable, Reliable Code: Author thoughtful, well-designed infrastructure code, including libraries for essential platform functions, proof-of-concept code, and bugs or foundational changes. Effectively share findings from technical investigations. 
• Collaborate with Partner Teams: Collaborate with the broader product engineering and product teams to understand product and platform architecture and develop thoughtful infrastructure improvements. 
• Lead the creation of design documentation: determine appropriate technologies and their interactions. Facilitate and contribute to design discussions, ensuring alignment across teams and incorporating learnings from prior work. 
• Nurture Talent: Mentor other engineers throughout the design and testing process. 
• Embody our culture and values. 

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 4+ years of experience designing, building, and operating developer productivity, CI/CD, or release engineering systems, including significant experience with Microsoft Azure (or AWS/GCP with strong Azure proficiency) and Infrastructure as Code such as Terraform or Bicep.
• Strong proficiency in modern CI/CD and release engineering practices, including building, operating, and evolving pipelines using tools such as Azure DevOps Pipelines (strongly preferred), Jenkins, Concourse, GitHub Actions, CircleCI, Spinnaker, or ArgoCD. Experience owning and supporting CI/CD pipelines used by multiple engineering teams, providing shared templates, guardrails, security, and reliability at scale.
• Experience operating large-scale, globally distributed, highly available, 24/7 systems, with a focus on release reliability, security, and operational excellence.
• Proficiency in modern software development practices, including code review, testing, release validation, and operational readiness, using languages such as Go, Python, or TypeScript.
• Demonstrated ability to drive architectural direction across teams, influence technical decisions around build and release systems, and translate ambiguous requirements into scalable, durable release platforms.
• Excellent written and verbal communication skills, including the ability to explain complex release, reliability, and automation concepts to diverse audiences.
• Hands-on experience designing and maintaining shared infrastructure and tooling ecosystems, such as reusable Terraform modules, pipeline templates, and onboarding toolchains that improve developer velocity, experience, consistency, and security across teams.

#MicrosoftAI

Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 – $261,000 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.

Copilot Discover helps hundreds of millions of people be informed, entertained, and inspired by surfacing highly relevant, trustworthy, and delightful content across Microsoft surfaces. We’re building the next generation of AI‑powered quality understanding and recommendation systems—spanning text, images, audio, and video—to curate the right content at the right moment while upholding safety and integrity.

As a Principal Applied Scientist, you’ll lead the science behind Discover’s ranking and content‑quality stack, combining LLMs, multimodal models, and large‑scale recommender systems to drive measurable gains in engagement, satisfaction, and trust. You will set technical direction, mentor a high‑caliber science cohort, and partner closely with engineering, PM, UXR, and policy to ship end‑to‑end outcomes. You will contribute to the development of the next generation of MSN that is adopting the latest generative AI techniques.

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.

• Lead content‑quality understanding at scale. Design and deploy models that assess credibility, usefulness, freshness, safety, and diversity across modalities; reduce misinformation/toxicity error rates through prompt‑ and model‑level innovations; build human‑in‑the‑loop and active‑learning pipelines that get better over time.
• Advance the recommendation & ranking stack. Architect and productionize large‑scale DNN/LLM‑enhanced recommenders (representation learning, sequence modeling, retrieval/ranking, slate optimization), balancing user satisfaction, content quality, and business goals.
• Own evaluation and experimentation. Define offline metrics (e.g., NDCG, ERR, calibration) and online methodologies (A/B tests, interleaving, counterfactual & bandit approaches) to confidently attribute impact and guard against regressions.
• Champion safety & trust. Partner with policy and platform teams to encode safety standards and editorial principles into the ML system; create red‑teaming, adversarial, and safeguard layers for generative and curated experiences.
• Scale E2E ML systems. Collaborate with engineering on data contracts, feature stores, distributed training/inference, and automated rollout/rollback; drive architectural investments that increase agility and reliability of Discover’s AI platform.
• Mentor & influence. Provide technical leadership across problem framing, methodology selection, code quality, and publishing/knowledge‑sharing; uplevel peers through design reviews, deep‑dives, and principled decision‑
• Stay close to users. Translate user engagements and behavioral history into model objectives and product bets; ensure our AI solutions elevate relevance, transparency, and engagement for real users.

Required Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
• • OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.

Preferred Qualifications:

• Master’s Degree in Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g. machine learning, deep learning or similar technologies)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• Have publications at top AI/ML conferences (e.g., KDD, SIGIR, EMNLP, NIPS, ICML, ICLR, RecSys, ACL, CIKM, CVPR, ICCV, etc.).
• Expertise with LLMs (prompting, finetuning, RAG), multimodal modeling, and retrieval‑augmented recommendation; familiarity with counterfactual learning and multi‑objective optimization.
• Experience building content integrity/safety systems (e.g., misinformation, harmful content, low‑quality/duplicate detection) and quality‑aware ranking.
• Demonstrated ability to lead cross‑disciplinary efforts (PM, ENG, UXR, editorial/policy) from idea to shipped impact; mentoring scientists and setting technical vision.
• Familiarity with Microsoft stack (e.g., Azure ML, Kusto, Synapse, Azure AI Foundry).
• 2+ years of experience working with  recommender systems/ranking or content‑quality/safety models at consumer scale, with clear business impact.
• 2+ years of experience in Python and at least one major deep learning framework (PyTorch/TensorFlow) with large‑scale data processing and training/inference on distributed systems.
• 2+ years of evaluation & experimentation (offline metrics, A/B testing, bandits) and ML model development lifecycle.

   #MicrosoftAI #mai #recsys #copilot #hiring

Applied Sciences IC5 – The typical base pay range for this role across the U.S. is USD $142,800 – $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.

As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.

We’re looking for a Member of Technical Staff – Principal Data Infrastructure Engineer.  This role is a dynamic blend of Platform Engineering, DevOps/SRE, and Big Data Infrastructure Engineering, focused on enabling large-scale data and ML pipelines and intelligent systems. If you’ve architected big data platforms from the ground up and are eager to apply that expertise to consumer AI, we want to hear from you.

You’ll bring:

• Deep technical expertise
• A passion for automation and observability
• Fluency in distributed systems
• Creativity to design scalable solutions
• And just as importantly: empathy, collaboration, and a growth mindset

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.

• Architect and maintain scalable, reliable, and observable Big Data Infrastructure for mission-critical AI applications.
  
• Champion DevOps and SRE best practices—automated deployments, service monitoring, and incident response.
  
• Build a self-service big data platform that empowers data and platform engineers and researchers.
  
• Develop robust CI/CD pipelines and automate infrastructure provisioning using Infrastructure as Code tools (Bicep, Terraform, ARM).
  
• Collaborate with Data Engineers, Data Scientists, AI Researchers, and Developers to deliver secure, seamless big data workflows.
  
• Lead technical design reviews and uphold a clean, secure, and well-documented codebase.
  
• Proactively identify and resolve bottlenecks in data pipelines and infrastructure.
  
• Optimize system performance across storage, compute, and analytics layers.
  
• Partner with Security teams to enhance system security (IAM, OAuth, Kerberos).
  
• Embody and promote Microsoft’s values: Respect, Integrity, Accountability, and Inclusion.

Required Qualifications:

• Master’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 Bachelor’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 equivalent experience.

Preferred Qualifications:

• 4+ years in Big Data Infrastructure, DevOps, SRE, or Platform Engineering.
• 3+ years of hands-on experience managing and scaling distributed systems—from bare-metal to cloud-native environments.
• 2+ years deploying containerized applications using Kubernetes and Helm/Kustomize.
• Solid scripting and automation skills using Python, Bash, or PowerShell.
• Proven success in CI/CD pipeline management, release automation, and production troubleshooting.
• Experience working with Databricks for scalable data processing and analytics.
• Familiarity with security practices in infrastructure environments, including IAM, OAuth, and Kerberos administration.
• Proven experience with cloud-native infrastructure across Azure, AWS, or GCP.
  
• Hands-on expertise with modern data platforms like Databricks, including:
  
• Deep understanding of data storage and processing technologies:
  
• Relational & NoSQL databases
  
• Key-value stores.
  
• Spark compute engines.
  
• Distributed file systems (e.g., HDFS, ADLS Gen2).
  
• Messaging systems (e.g., Event Hub, Kafka, RabbitMQ).
  
• Capacity planning and incident management for large-scale big data systems.
  
• Solid collaboration history with Data Engineers, Data Scientists, ML Engineers, Networking, and Security teams.
  
• Familiarity with modern web stacks: TypeScript, Node.js, React, and optionally PHP.
  
• Exposure to agentic workflows, deep learning, or AI frameworks.
  
• Practical experience integrating LLMs (e.g., GPT-based models) into daily workflows—automating documentation, code generation, reviews, and operational intelligence.
  
• Solid grasp of prompt engineering techniques to design, optimize, and evaluate interactions with LLMs.
  
• Demonstrated ability to troubleshoot and resolve complex performance and scalability issues across infrastructure layers.
  
• Excellent interpersonal and communication skills, with a solid passion for mentorship and continuous learning.
  
• Experience applying LLMs to DevOps workflows, enhancing incident response, and streamlining cross-functional collaboration is a solid advantage.

#MicrosoftAI

 #mai-datainsights #mai-datainsights

Data 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.

UX Research M6 – The typical base pay range for this role across the U.S. is USD $165,600 – $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.

Microsoft AI is shaping the future of human-AI interaction by designing technology that earns trust, amplifies human potential, and makes life meaningfully better. As part of the MAI design and research team, you will help define the next generation of generative AI experiences, balancing product strategy, interaction design, and brand expression to create engaging products for over a billion users. We’re seeking a Principal Product Designer with deep expertise in consumer product design, visual design, and storytelling to shape the future of media experiences. On the Content team, our mission is to inform, entertain, and inspire our customers across Windows, the Edge browser, and the Copilot app. We’re reimagining how people discover, consume, and engage with media in the age of AI. 

• Define and design innovative product features that leverage generative AI to transform how users discover, consume, and engage with content 
• Create compelling visual designs and interaction patterns that set new standards for AI-powered media experiences
• Develop and communicate product vision through storytelling, high-fidelity prototypes, and strategic presentations to leadership and cross-functional partners
• Drive design strategy for consumer-facing media products, balancing user needs, business goals, and technical constraints
• Collaborate closely with product management, engineering, research, and CTO to shape product roadmaps and prioritize features
• Establish design principles and patterns that scale across multiple surfaces and experiences
• Mentor and elevate design quality across the team through design reviews, feedback, and craft leadership
• Stay ahead of industry trends in AI, media, and design, bringing innovative ideas and best practices to the team
• Understand the behaviors, motivations, and needs of our customers to develop relevant and impactful experiences 

Required Qualifications 

• Master’s Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or related field AND 6+ years experience working in product or service design OR Bachelor’s Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or related field AND 8+ years experience working in product or service design OR equivalent experience (e.g., demonstrated experience working in product or service design or using design thinking to solve problems).

Preferred Qualifications

• 9+ years experience working in product or service design
• Demonstrated sense of interaction design attuned to the fundamentals of user experience, includin 

Product Design IC5 – The typical base pay range for this role across the U.S. is USD $142,800 – $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.

Required Qualifications: 

• Bachelor’s Degree AND 5+ years experience in product/service/program management or software development
  • OR equivalent experience.

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

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

Preferred Qualification:

• Master’s Degree and 2+ years of experience in product/service/project/program management or software development.
• Experience working with Search or Recommendation systems, Large language models 

#MicrosoftAI 

Product Management 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 $160,200 – $261,000 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.

Required Qualifications: 

• Bachelor’s Degree AND 5+ years experience in product/service/program management or software development
  • OR equivalent experience.

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

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

Preferred Qualification:

• Master’s Degree and 2+ years of experience in product/service/project/program management or software development.
• Experience working with Search or Recommendation systems, Large language models 

#MicrosoftAI 

Product Management 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 $160,200 – $261,000 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.

Build the platform that powers Microsoft’s advertising business. The Monetize engineering team builds the sell-side platform (SSP) and curation tools that serve first-party ads across all Microsoft properties and for major third-party publishers worldwide. We’re hiring a Senior Software Engineer to own backend services handling millions of API requests per day, drive a major Azure Kubernetes migration, and deliver full-stack features that our users depend on daily.

What you’ll work on:

Designing and building backend services in C#/.NET on Azure (AKS, Functions, Cosmos DB, SQL)
Driving a large-scale infrastructure migration from VMs to Kubernetes
Full-stack feature delivery across GraphQL APIs and TypeScript frontends — UIs, APIs, and tools for business-critical workflows
Live-site engineering — owning production health, incident response, and observability
Building new applications from scratch as the platform expands into new areas
Opportunities to work on AI-powered product features including Copilot experiences and LLM integrations as the platform evolves

Who we’re looking for:
You use AI-powered development workflows (Copilot, LLM-assisted coding, agentic tools) as a daily force multiplier — not as a novelty, but as a core part of how you ship software faster and better. You’re always experimenting with new tools to raise your own bar and help your teammates do the same.

Why this team:

A tenured, tight-knit team of 9 engineers where retention speaks for itself — people stay because the work matters and the team is genuinely great
High-impact, high-autonomy work: you own features end-to-end from design through production
Clear path to Principal and beyond — significant opportunities for technical ownership and scope growth
The platform is evolving fast — you’ll shape what it becomes, not just maintain what exists

About the role:

Improves artificial intelligence tools and practices across the software development lifecycle. Partners with internal stakeholders to determine customer/user requirements for scenarios. Leads discussions for architecture of complex products ensuring test strategies for solution quality. Mentors in identifying dependencies and producing extensible code across teams. Leads debugging efforts and application of coding patterns to improve code quality. Develops automation for production deployment targeting zero-touch when possible. Ensures visibility for compliance through audit trails and maintains understanding of regulations. Advocates new trends to adapt them to current problems and shares knowledge with peers. Supports collaboration with partner teams, ensuring proper integration before going live.

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.

• AI-Native Development
  
  • Improves artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC). Proactively takes responsibility for the content of their AI-generated requirements, design documents, code, and other assets, assisting other members of the team to do the same. Incorporates Responsible AI practices into the SDLC to ensure appropriate controls over AI-generated assets. Applies SDLC and engineering health measures (e.g., Accelerate, SPACE framework, Engineering System Success Playbook [ESSP]) to guide improvements to processes and practices, especially those involving AI. Experiments with AI tools and practices to improve their own capabilities, and provides recommendations on how to adopt them to other members of the team.
• Coding
  
  • Leads by example across teams and mentors others to produce extensible, maintainable, well-tested, secure, and performant code used across products that adheres to design specifications. Leads efforts to continuously improve code performance, testability, maintainability, effectiveness, and cost, while learning about and accounting for relevant trade-offs. Identifies best practices and coding patterns and provides deep expertise in the coding and validation strategy. Creates and applies metrics to drive code quality and stability. Identifies and anticipates blockers or unknowns during the development process, escalates them, communicates how they will impact timelines, and then leads efforts to identify and implement strategies to address them. Leads efforts on using debugging tools, tests, logs, telemetry, and other methods, and proactively leads verification of assumptions while developing code before issues occur across products in production. Leverages minimal telemetry data, triangulates issues, and resolves with minimal iterations. Leads incident retrospectives to identify root causes of problems, the implementation of repair actions, and the identification of mechanisms to prevent incident recurrence. Reviews product code and test code to ensure it meets team standards, contains the correct test coverage, and is appropriate for the product or solution area.
• Design
  
  • Owns and leads efforts and discussions for the architecture of aspects of complex products/solutions. Leads the testing and exploration of various design options across a set of complex product/solution scenarios, ensuring the strengths and weaknesses of each option are outlined and making recommendations for which design option is best. Creates proposals for architecture and design documents, and leads testing of hypotheses and proposed complex solutions. Leads the development of design documents that support user stories and other product requirements. Evaluates new technologies to solve classes of problems, and determines how to integrate these technologies within existing systems. Leads efforts to ensure system architecture and individual designs meet performance, scalability, resiliency, disaster recovery, and cost requirements. Mentors others on and independently creates a clear test strategy that ensures solution quality.
• Engineering Excellence
  
  • Applies and identifies best practices for building code based on well-established methods and secure design principles. Leads product development and scaling to customer requirements. Remains current by investing time and effort into staying abreast of current developments. Leads efforts to use and enhance, or build, new software developer tools to support easier, faster, and more effective software engineering across products. Leads efforts to ensure the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility across solutions and teams. Collaborates with partner teams to ensure products work well with partner team components, ensuring proper end-to-end testing, live-site coverage, scalability, performance, and DRI escalation pathways are established before going live.
• Implement
  
  • Leads efforts for experiments that determine the impact of changes using feature flags/flighting, interprets results, and decides on next steps. Leverages subject-matter expertise to partner with stakeholders to drive project plans, release plans, and work items. Breaks down long-term project vision into milestones as part of an overall roadmap. Leads leveraging existing deployment frameworks, automating deployment tasks when possible. Proactively follows safe change deployment best practices to minimize adverse impact to users and other services.
• Reliability and Supportability
  
  • Integrates, designs, and reviews others’ work to integrate logging and instrumentation for gathering telemetry data on system behavior. Holds accountability as a designated responsible individual (DRI), working on-call to monitor system/product/service for degradation, downtime, or interruptions. Maintains operations of live site service, following security best practices when responding quickly to mitigate issues. Reviews and writes incident postmortems and presents insights that drive changes to reduce or eliminate incidents.
• Understand User Requirements
  
  • Partners with and guides appropriate internal and external stakeholders and leverages expertise to determine and confirm customer/user requirements and their feasibility for a set of scenarios. Seeks and leverages a variety of feedback channels to incorporate customer insights into future designs or solution fixes.

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Experience with C#/.NET and Azure cloud services (e.g., AKS, Azure Functions, Cosmos DB, Azure SQL).
• Experience with production live-site engineering, observability tooling, and incident response. Familiarity with GraphQL, CI/CD pipelines, and infrastructure-as-code.
• Candidates with comparable experience in Java and/or AWS are encouraged to apply.

#MicrosoftAI #CSharp #Azure #Kubernetes #BackendEngineering #FullStack

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 $160,200 – $261,000 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.

Software Engineering M6 – 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.

Microsoft AI (MAI) builds an integrated consumer AI ecosystem across search, browsing, and content, focused on delivering trustworthy, scalable experiences with durable user and business value. The MAI Ecosystem Data Science Team owns MAI‑wide metrics, shared measurement systems, and experimentation frameworks to enable consistent, high‑confidence decisions and optimize MAI‑level outcomes. 

We are seeking a Principal, Data Science & Analytics for ecosystem data science to own cross product measurement strategy, partner across product and business teams, and uphold a high bar for metric quality, statistical rigor, and data driven leadership. 

We are looking for high-energy Data Scientist, creative modeling geeks who are willing to work in a dynamic environment to solve real life day to day problems, leveraging data science techniques. You will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data driven solutions to ambiguous problems. 

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.

As a Principal, Data Science and Analytics in the team, your major responsibilities include:  

• Leadership: Mentor data scientists and align work with MAI ecosystem goals, driving technical excellence, innovation, and cross-team collaboration.
• Data Strategy & Execution: Develop ecosystem data strategies for marketplace and system performance, including standardized data collection, analysis, reporting, and interpretation; validate analytical approaches and results.
• Advanced Analytics & Measurement: Apply machine learning, statistical modeling, data mining, and experimentation to large datasets; define and deliver metrics that accurately measure user and business value across products and marketplace components.
• Experimental Design & Implementation: Design and execute experiments across user and demand dimensions; translate strategy into clear, actionable, and measurable plans, sharing progress and results with stakeholders.
• Collaboration: Partner closely with product, program management, engineering, and business teams to integrate data science solutions into shared platforms and marketplace operations.
• Performance Optimization: Identify cross-team opportunities for product and process improvement; implement data-driven solutions to improve efficiency, reliability, and user experience.
• Influence & Decision-Making: Engage stakeholders with clear, compelling, and actionable insights; make independent decisions for the team and handle complex tradeoffs to drive product and service improvements.
• Technical & Operational Leadership: Develop and standardize processes for data acquisition, quality, and operationalizing ML models; provide expert review of analysis and modeling; lead adoption of new tools and technologies to improve availability, reliability, efficiency, and performance.
• Standards & Trusted Advisory: Establish and uphold standards, policies, and best practices for high-quality, efficient, and extensible code; influence business, customer, and solution strategy with a strong customer focus; act as a trusted advisor across the ecosystem.

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.

Preferred Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.

#MicrosoftAI 

Data Science 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.