The Budget Optimization Engineering team at Microsoft builds the real-time data infrastructure that powers programmatic advertising at global scale. The team owns Java-based microservices handling budget distribution, campaign discovery and ranking, bid-price optimization, Kafka-based streaming pipelines, and job orchestration — across datacenters.

We are looking for a Senior Software Engineer to join this team and drive a significant Azure migration: moving services from legacy infrastructure (Concourse CI, internal Artifactory, Maestro) to modern Azure tooling (Azure DevOps, ACR, AKS). This role spans infrastructure engineering and service development, and requires deep Kubernetes expertise to design and ship production-grade deployments.

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.

• Service Development 
  • Design and build highly scalable backend services and data pipelines that support privacy-preserving measurement and analytics scenarios using Java, Python (and C# where applicable). 
  • Maintain and improve production services across the optimization platform — including Kafka streaming pipelines, budget controllers, job orchestration (job-broker), and deal monitoring — with a focus on reliability and strict SLA adherence. 
  • Drive integrations with external data and measurement partners, designing stable interfaces, schema governance patterns, and robust validation pipelines. 
  • Work closely with PMs, data science, privacy, and security teams to translate measurement needs into scalable platform capabilities. 
  • Contribute to the full service lifecycle: design, implementation, testing, code review, and deployment. 
  • Improve reliability and observability of Kafka consumer/producer pipelines (offset management, retry strategies, delivery guarantees) across cross-datacenter replication flows. 
• Infrastructure & Cloud 
  • Design and implement Kubernetes/Helm deployments for services currently running on legacy orchestration (Maestro, SAND instances, bare Docker), targeting Azure-native cloud infrastructure. 
  • Integrate application telemetry (Prometheus/Dropwizard Metrics) with Azure Application Insights and Azure Log Analytics to support production observability and SLA monitoring. 
  • Apply practical experience with Azure services — including AKS, ACR, and Azure Key Vault — to support secure, cloud-native deployments. 
• Collaboration & Standards 
  • Lead initiatives to make delivery of high-quality software routine and efficient across the full SDLC, from inception and technical design through testing and production operations. 
  • Participate in architecture discussions and enforce engineering standards through design reviews, code reviews, and mentorship of junior engineers. 
  • Contribute to runbooks, deployment documentation, and oncall readiness.
  • Leverage AI dev tools across the software development lifecycle to raise team-wide engineering productivity.   

Required:

• 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#, Java, Go, or Python
  • OR equivalent experience.

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

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

Preferred:

• 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#, Java, Go, 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#, Java, Go, or Python
  • OR equivalent experience.
• 7+ years of technical experience in software development, service engineering, or systems engineering. 
• 5+ years of experience building and operating large-scale distributed systems, backend services, or data platforms with strict SLA requirements. 
• Apache Kafka — solid understanding of consumers, producers, offset management, partition strategies, performance tuning, and cross-datacenter replication patterns. 
• Kubernetes — production experience writing and deploying Helm charts; hands-on with Deployments, StatefulSets, Services, ConfigMaps, Secrets, Jobs, and HPAs; comfortable with multi-cluster and multi-datacenter environments. 
• Cloud infrastructure — practical experience with Azure (AKS, ACR, Azure Key Vault, Azure Application Insights, Azure Log Analytics); familiarity with Azure DevOps or equivalent CI/CD platforms. 
• Large-scale data processing — experience with Spark, SQL-based pipelines, or equivalent frameworks for high-throughput event streaming and analytics. 
• Distributed systems — understanding of cross-datacenter replication patterns, consistency trade-offs, and fault-tolerant service design. 
• Background in advertising, marketing technology, attribution, real-time bidding, programmatic advertising, or large-scale analytics. 
• Experience integrating third-party vendor/partner platforms, identity systems, or data collaboration technologies. 
• Solid problem-solving skills with a focus on reliability, observability, and system design. 

#MicrosoftAI 

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

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

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

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

Are you highly organized, collaborative, and known for your exceptional attention to detail? Do you thrive in a fun, high‑energy environment? If so, Microsoft AI is looking for an experienced Business Administrator to support managers and the broader organization within our Search Growth and Experiences team.

The ideal and successful candidate for this role needs to navigate a fast-paced environment, be agile and embrace changes, be able to multi-task, have excellent interpersonal skills, take initiative, demonstrate good judgment, and must maintain a high level of confidentiality. They must be highly competent at setting priorities while executing multiple tasks simultaneously. A successful candidate must build trust through consistent and timely follow-up, with excellent clarity in communication.

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.

• Calendar Management & Meeting Logistics
  • Provide calendar management and time-planning support for multiple executives, aligning calendars based on executives’ preferences, priorities, and operating styles.
  • Manage community space and conference room calendars as needed including troubleshooting audio, video, and technical issues during meetings as needed.
  • Ensure meetings are fully prepared, including room booking and AV/technical setup.
• Cross-Functional Collaboration & Communication
  • Build and maintain solid relationships with stakeholders across multiple organizations (e.g., Business Support, HR, Finance, Events, peers).
  • Coordinate and communicate effectively with internal and external partners to enable leader and team execution.
• Discipline Growth & Development
  • Actively engage in the Business Support community, mentoring less experienced colleagues and supporting onboarding and training efforts.
  • Promote a positive organizational culture through collaboration, knowledge sharing, and role modeling best practices.
  • Document, standardize, and share operational best practices and insights to drive continuous improvement.
• Event Coordination & Logistics
  • Support planning, coordination, promotion, and execution of events, including defining objectives, scope, success criteria, and creating or co‑owning itineraries and run‑of‑show documentation.
  • Act as a primary point of contact for event communications, proactively managing updates, risks, and issue escalation to ensure successful delivery.
  • Lead post‑event closeout activities such as attendance tracking, materials distribution, and follow‑ups, while fostering positive team dynamics and morale.
• Project Ownership
  • Execute projects and tasks with minimal supervision, owning assigned workstreams end‑to‑end with clear accountability.
  • Identify and communicate risks, dependencies, and challenges early to ensure successful delivery.
  • Drive continuous process improvements and operational efficiencies across workflows.
• Resource & Financial Management
  • Manage equipment and inventory planning, tracking, and maintenance; oversee vendors and suppliers, including setup and purchase order (PO) support.
  • Process expense reports in full compliance with Microsoft policies and procedures.
  • Partner with business management to plan, track, and report on discretionary budgets (e.g., morale, hardware, supplies).
• Rhythm of Business (ROB)
  • Support execution of the team’s rhythm of business and operating cadence, coordinating scheduling and meeting logistics aligned to business priorities.
  • Identify patterns and interdependencies across business cycles to support effective planning and decision‑making.
• Space Management & Planning 
  • Maintain accurate space management processes, records, and system data across offices, desks, and conference rooms.
  • Coordinate day-to-day space logistics and support large-scale initiatives including moves, buildouts, and restocks, serving as liaison across stakeholders.
  • Use space utilization data to identify trends, offer recommendations, and support planning for future space needs.
• Team Management Support (Headcount, Hiring, Onboarding/Offboarding)
  • Support team experience and engagement activities.
  • Partner with Global Talent Acquisition and hiring managers to coordinate recruitment logistics, onboarding, and offboarding for employees, vendors, and interns.
  • Manage operational logistics and systems including equipment ordering, workstation setup, DLs, security groups, headcount tracking, transfers, reporting, and transactions.
• Travel Management
  • Arrange domestic and international travel for leaders and team including, accommodations, transportation, security, itineraries and group travel needs while adhering to Microsoft policies.
  • Ensure required travel documentation is obtained (e.g., visas, immunization records).

Required:

• 2+ years Administrative, Business Support, and/or customer service 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:

• 3+ years administrative, business support, or customer service experience in an environment with an emphasis on scheduling meetings/events, travel management, and basic administration work.
• Associate’s/Bachelor’s Degree in relevant field (e.g., Business Administration, Human Resources [HR], Marketing, Communications, Psychology, Sociology) OR equivalent experience.
• 1+ year(s) experience reviewing and managing administrative budgets (e.g., for events, morale, travel, training).

#MicrosoftAI #MAI #Bing

Business Support ATR-C – The typical base pay range for this role across the U.S. is USD $25.10 – $43.80 per hour. 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 $35.72 – $51.11 per hour.

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.

Our Signals Modeling team builds the intelligence that powers how the advertising marketplace understands user behavior, measures impact and optimizes outcomes from initial impressions through downstream conversions and long-term advertiser value.

We develop large-scale learning systems that infer intent and causal effects from incomplete and noisy feedback, enabling principled decision-making across ranking, bidding, pricing, and budget allocation. Our work sits at the foundation of marketplace optimization, where accurate attribution and measurement directly influence billions in advertising spend.

The team designs and operates state-of-the-art modeling platforms spanning representation learning, weak-supervision, multi-objective training, calibration, and rigorous experimentation. We transform sparse engagement signals into reliable learning targets and build models that remain robust under delayed conversions, selection bias, and rapidly shifting marketplace dynamics.

As a Principal Applied Scientist, you will help define the future of data-driven attribution and causal measurement, shaping the methodologies that determine how value is estimated and optimized across the ecosystem. You will partner across research, engineering, and product leadership to introduce advanced inference techniques into production systems operating at massive scale.

This is a high-ownership role focused on solving structurally hard problems where ground truth is limited, experimentation is non-trivial, and scientific rigor is essential to unlocking durable marketplace advantage.

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.

• Define and drive the scientific and technical strategy for data-driven attribution (DDA) and causal measurement across advertising systems.
• Establish methodologies for incrementality estimation, counterfactual learning, delayed-feedback modeling, and bias correction in environments with partial observability.
• Lead the design and production adoption of attribution and causal inference frameworks that improve bidding, ranking, optimization, and advertiser ROI at web scale.
• Set evaluation standards that distinguish correlation from causation and elevate experimental rigor across teams.
• Identify capability gaps and introduce advanced research, tools, or modeling approaches to strengthen measurement foundations.
• Operate across organizational boundaries to align research, engineering, product, and business leaders on measurement strategy.
• Serve as a subject-matter expert and technical advisor on attribution and causal inference.
• Mentor scientists and influence technical direction to raise the organization’s scientific bar.

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 Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
  • 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.
  • 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
    2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
    5+ years experience conducting research as part of a research program (in academic or industry settings).
    3+ years experience developing and deploying live production systems, as part of a product team.
    3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
• Recognized expertise in attribution, incrementality, marketplace experimentation, or causal ML.
• Track record of driving multi-year research or modeling agendas that materially improved product outcomes.
• Experience defining measurement strategy for advertising platforms, marketplaces, or large-scale recommendation systems.
• Publications, patents, or widely adopted internal methodologies in causal inference, experimentation, econometrics, or applied machine learning.
• History of mentoring senior scientists and elevating organizational scientific capability.
• Experience influencing director- or VP-level technical strategy.
• Demonstrated track record of setting technical direction for large-scale machine learning or statistical systems that delivered measurable business impact.
• Deep expertise in causal inference, data-driven attribution, treatment effect estimation, counterfactual learning, or experimental design — applied in production environments.
• Experience leading ambiguous, high-impact initiatives where ground truth is limited and methodological rigor is critical.
• Proven ability to influence strategy and drive adoption of new measurement or modeling approaches beyond an immediate team.
• Significant experience developing and deploying production ML systems across multiple stages of the product lifecycle.
• Solid scientific judgment with a history of selecting appropriate methodologies under real-world constraints.
• Exceptional communication skills with the ability to translate complex technical concepts into guidance for senior technical and business leaders.

At Microsoft, our mission is to empower every person and organization on the planet to achieve more. We foster a culture of inclusion, growth, and innovation, built on values of respect, integrity, and accountability. If you’re passionate about driving meaningful impact, solving complex problems, and contributing to a growing organization, we would love to hear from you.

#MicrosoftAI 

Applied Sciences 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.

The Content Services Verticals team is seeking a Senior Software Engineer to drive the development of next-generation systems for Microsoft Start. This role offers the opportunity to collaborate across teams within Start, as well as with Edge, Windows, Xbox, Bing, and other divisions, to build scalable and high-performance backend services that power user-facing experiences. In addition to distributed backend engineering, this role emphasizes expertise in building applications using large language models (LLMs), designing evaluation frameworks, and advancing prompt engineering to create intelligent, adaptive, and reliable user experiences.

As a Senior Engineer, you will design, implement, and optimize services, APIs, and infrastructure to support the evolving needs of our platform. You’ll work closely with cross-functional teams—including product managers, applied scientists, and frontend developers—to ensure seamless integration and exceptional performance. From system architecture and data modeling to LLM-powered service design, eval writing, and deployment automation, you will play a key role in shaping the technical roadmap. This role requires a highly proactive mindset: taking initiative, working in agile environments, and driving innovation end-to-end to deliver scalable, maintainable, and forward-looking solutions.

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.

• Ship high-quality, well-tested, secure, and maintainable code.
• Develop and maintain robust, scalable, and efficient full-stack applications.
• Collaborate closely with cross-functional teams, including product owners, designers, and other engineers, to understand and address business requirements effectively.
• Participate in code reviews, providing constructive feedback and ensuring code quality and adherence to coding standards.
• Contribute ideas for continuous improvement of the tech stack, tools, and development processes.
• Ensure seamless integration of front-end and back-end components, focusing on optimal performance and user satisfaction.
• Work within a world-class engineering team comprising engineers, architects, scientists, and leadership.
• Contribute to a positive and innovative team culture.
• Work closely with the leadership and product owner to help address business needs while maintaining engineering standards and paying down technical debt.
• Experiment with and recommend new technologies that simplify or improve our stack.
• Build and integrate applications leveraging LLMs, with a solid focus on quality, performance, and reliability.
• Develop and maintain evals and evaluation frameworks to measure model performance and ensure high-quality outputs.
• Apply prompt engineering techniques to refine and optimize LLM-driven user experiences.

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 experience with designing, building, and maintaining complex backend systems
• 4+ years experience in developing and optimizing RESTful APIs and microservices. Proven ability to create and maintain efficient, reliable backend services.

#MicrosoftAI 

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

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

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

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

• Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot.
• Design scalable algorithms for online and offline systems, delivering innovative solutions for content selection, user engagement modeling, and ad generation.
• Drive experimentation through A/B testing and offline validation to evaluate model performance and refine user behavior predictions.
• Build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications.
• Stay at the forefront of AI research, incorporating the latest advancements to drive innovation and impact across Microsoft platforms.

Required Qualifications:

• Bachelor’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 Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.

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

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

Preferred Qualifications:

• Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ 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.
• Proven experience in programming and data analysis skills
• 2+ years of experience in developing and deploying large-scale machine learning models..
• Proven expertise in the areas of Generative AI, deep learning, or transformers.
• 2+ years of experience in reinforcement learning and contextual bandits.

#MicrosoftAI 

Applied Sciences 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.

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 and delivering distributed systems or platform infrastructure, including significant experience in Microsoft Azure (or AWS/GCP with solid Azure proficiency) and Infrastructure as Code such as Terraform or Bicep. 
• Experience managing systems at scale—globally distributed, highly available, real-time, 24/7 environments—and operating platforms with solid reliability and security requirements. 
• Proficiency in modern software development practices, including CI/CD pipelines, code review, testing, and operational readiness, using languages such as Go, Python, or TypeScript. 
• Demonstrated ability to drive architectural direction across multiple teams, influence technical decisions, and translate ambiguous requirements into durable designs. 
• Excellent written and verbal communication skills, including explaining technical concepts to diverse audiences. 
• Hands-on experience deploying and operating AKS at scale, including networking, identity/workload identity, and secure cluster patterns using Fleet Manager. 
• Hands-on experience building and operating Terraform module ecosystems and platform onboarding toolchains. 

#MicrosoftAI

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

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

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

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

The Microsoft Commerce team is at the forefront of defining how AI‑native shopping comes to life, shaping how Copilot helps people discover, decide, and take action. We are pioneering the future of AI shopping by building intelligent, trusted experiences that redefine commerce and shopping across Microsoft surfaces.

As a Principal Product Manager – Commerce, you’ll be responsible for understanding user and business needs, defining clear requirements, and driving execution across engineering, design, and partner teams. You set strategy, align stakeholders, manage delivery through launch and iteration, and ensure outcomes are measurable, high‑quality, and scalable.

In this role, you will learn how to operate lean teams that obsess over users, make high‑quality decisions grounded in evidence, and ship continuously. You’ll develop the ability to move quickly from insight to impact, delivering real, immediate value to users. As the AI landscape evolves at an unprecedented pace, you’ll gain hands‑on experience working at the center of that transformation, building products at the heart of how AI is reshaping the world.

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.

• You will influence others to drive business impact across the organization and track success criteria for multiple feature areas across divisions. You’ll also be an expert in identifying long-term investment opportunities and engaging partners to garner support for those feature areas.
• You will translate business goals into strategy, user experience and technical requirements in close collaboration with Applied Science, Data Science, Engineering, UX and Product Marketing/Sales teams.
• You will define a feature set and facilitate senior-level usability reviews with customers. You’ll own the roadmap for multiple feature areas across divisions, and will collaborate with a partner team to build golden configurations and drive scenario walkthroughs.
• You will enjoy working in a fast-paced, customer-first, product development cycle.
• You will partner with others to collect performance metrics and form hypotheses for complex technical needs in order to improve product development in multiple areas. You’ll also identify features to deprecate, manage customer communities, and build trust with targeted customers across sectors.

Required Qualifications:

• Bachelor’s Degree AND 8+ years experience in product/service/program management or software development
  • OR equivalent experience.

Preferred Qualifications:

• Bachelor’s Degree AND 12+ years experience in product/service/program management or software development
  • OR equivalent experience.
• 2+ years experience leading cross functional product teams across advertising, privacy, search, conversational AI, or generative AI
• 6+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn).
• 5+ years experience with data analytics and experimentation tools with working knowledge of SQL and coding skills (Python, Javascript).
• Depth in experimentation and measurement (A/B testing, causal inference, learning outcomes, cohort analysis). 
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. 
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. 

#MicrosoftAI #maimonetizationproduct

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

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

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

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

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 Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
  • 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.
• Proven experience in programming and data analysis skills.
• Proven expertise in the areas of Generative AI, deep learning, Reinforcement learning, transformers or LLM.
• 6+ years of experience in developing and deploying large-scale machine learning models.

#MicrosoftAI 

Applied Sciences 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.

Required Qualifications:

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

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor’s Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Experience in Azure. 
• Experience in Machine learning and online system design, implementation and qualification. 
• 2+ years’ experience in Distributed Systems and Big Data Technologies such as Spark, Hadoop, HDFS, Kafka, Flink, Scala.

#MicrosoftAI #BingAds

Software Engineering 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.

The Bing organization is looking for a Principal Data and Applied Scientist for its online metric team. The team is pushing the boundaries of online A/B experimentation capabilities and impact measurement methods, as well as informs our understanding for how users engage with search engines and integrated AI experiences and then translates the insights into actionable metrics. These metrics provide direction to the Bing and MAI organization and help engineers make the right ship decisions for their thousands of A/B experiments. 

Bing.com reaches about a billion people worldwide, and we have a large opportunity to grow further. At Bing, we celebrate our data driven culture: changes only ship when their impact is understood and positive. This role is at the center of what defines our decision-making processes and is an excellent opportunity to make a multiplicative impact across the org.   

As a data and applied scientist in this team, you will have the chance to work on and deliver metrics that drive the direction of major Bing initiatives. You will have the chance to be involved in the analysis and decision making for 1000s of online controlled A/B experiments. Come join us! 

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.

• Drive innovation in large-scale online A/B experimentation for AI-powered web search, designing, building, and monitoring success metrics that directly measure user satisfaction, trust, and long-term retention across Bing experiences. 
• Serve as a technical visionary and thought leader in online experimentation, shaping the future of product learning through research-driven, AI-enabled approaches that support trustworthy, agile, and evidence-based decision-making at global scale. 
• Provide senior technical leadership and deep industry perspective, guiding cross-functional partners in the adoption of advanced experimentation platforms, causal inference techniques, and modern data science methodologies to deliver high-impact, scientifically rigorous experimentation programs. 
• Build and scale advanced experimentation expertise across teams, spanning specialized tools, statistical methods, and ML-driven evaluation frameworks, to drive measurable business outcomes and extend the reach and impact of Search’s end-to-end experimentation 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.

Additional or 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.
  • Experience with SQL-like query languages 
  • Hands on experience in design & problem-solving skills with one or more programming languages, such as Python, Java, C# or C++ 
  • Ability to work independently, influence others, and solid communication and collaboration skills.  
• Familiarity with search engines, dealing with online instrumentation. 
• Experience with large datasets and interest in consumer online search behaviors.
• Experience with building machine learning models on large scale data.           

At Microsoft, our mission is to empower every person and organization on the planet to achieve more. We foster a culture of inclusion, growth, and innovation, built on values of respect, integrity, and accountability. If you’re passionate about driving meaningful impact, solving complex problems, and contributing to a growing organization, we would love to hear from you.

#MicrosoftAI #Search #MAI #nextplay #searchjobs

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.