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principal software engineer entra id security

Microsoft

<div>Overview 
Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft&rsquo;s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers&rsquo; heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. 
 
The Identity Security Breach Response Squad (IDSEC BRS) is where engineers and security researchers come to work on the most challenging identity security problems at Microsoft. The team operates at the front lines of incident response, partnering closely with investigators and engineers to understand how real attacks unfold and to turn those insights into scalable detection, investigation, and response capabilities. BRS is deeply hands on: team members work directly with large scale identity telemetry, trace complex attack paths, and help shape the tools and systems that responders rely on during high impact security events. If you&rsquo;re motivated by solving ambiguous problems, learning from real adversary behavior, and seeing your work directly improve how a global platform defends itself, this team offers the opportunity to make a tangible difference at cloud scale. 
 
Microsoft&rsquo;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. 
 
#MSFTSecurity, #Cybersecurity #EntraID #IdentitySecurity #Identity&amp;NetworkAccess 
Responsibilities 
<ul><li>
Build and operate services that help security teams investigate and respond to sophisticated identity-related threats at global scale.</li><li>
Create agentic systems that make security investigations faster, more reliable, and easier to execute under pressure.</li><li>
Design systems that connect signals across large datasets to surface high-confidence findings and actionable remediation steps.</li><li>
Apply AI thoughtfully to assist human decision-making in investigations (with clear safety boundaries, evaluation, and human-in-the-loop controls).</li><li>
Lead architecture and technical direction across multiple workstreams; partner across engineering and security teams to deliver end-to-end outcomes.</li><li>
Drive operational excellence for mission-critical services (reliability, observability, incident response, and safe rollouts).</li><li>
Mentor engineers and model strong engineering fundamentals, security best practices, and inclusive collaboration.</li></ul> 

Qualifications 
Required Qualifications:<ul><li>
Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</li></ul>
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 background and Microsoft Cloud background check upon hire/transfer and every two years thereafter. 
 
Preferred Qualifications:<ul><li>
5+ years of professional software engineering experience building and operating production services.</li><li>
Background in distributed systems (reliability, performance, scalability, and operational excellence).</li><li>
Experience designing secure systems (threat modeling, secure coding practices, and principled access control).</li><li>
Demonstrated technical leadership: driving architecture decisions, aligning stakeholders, and delivering complex projects end-to-end.</li><li>
Experience applying AI to improve workflows in high-consequence environments (with evaluation and safety boundaries).</li><li>
Experience building security, investigation, eviction, detection, or forensics-adjacent tooling.</li><li>
Experience building data-intensive platforms (pipelines, indexing/search, large-scale analytics, or workflow automation). -</li><li>
Experience mentoring engineers and raising the quality bar through design/code reviews and operational practices.</li><li>
Experience designing and shipping agentic AI systems with security-first guardrails.</li></ul> 
 
 
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: 
https://careers.microsoft.com/us/en/us-corporate-pay 
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.</div>

Principal Software Engineer - Entra ID Security

<div>Overview 
<div>
Are you excited about building intelligent, scalable systems that power next-generation AI experiences? The Microsoft Copilot Studio team within the Business Industry Copilot (BIC) organization is at the forefront of enabling makers and developers to build, publish, and manage copilots that extend across Microsoft 365 and beyond. We are looking for a strong Principal Software Engineer to join our team and lead the design and development of core capabilities in the Control Plane as part of the Publish, Sharing &amp; Channels areas of the product.</div><div> 
As a Principal Engineer, you will play a pivotal role in shaping the architecture and execution of mission-critical services that enable seamless copilot lifecycle management, secure sharing, and multichannel publishing. You&rsquo;ll work closely with product, design, and partner teams across Microsoft to deliver high-impact features that empower users and scale across millions of tenants.</div><div>
Microsoft&rsquo;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.</div> 
Responsibilities<ul><li> 
Lead architecture, design, and implementation of scalable, reliable, and secure services in the Copilot Studio Control Plane.</li><li>Drive technical strategy and execution for publish, sharing, and channel integration experiences.</li><li>Collaborate with cross-functional teams to define and deliver end-to-end scenarios that span Azure, M365, and Power Platform ecosystems.</li><li>Mentor and guide engineers across the team, fostering a culture of technical excellence, inclusion, and continuous learning.</li><li>Partner with PMs and leadership to align engineering investments with product vision and customer needs.</li><li>Champion engineering best practices, including CI/CD, observability, and operational excellence.</li><li>Partner with Data Science and AI experts to transform what it means to build AI-first SaaS.</li></ul> 
Qualifications 
Required Qualifications:<div><ul><li>
Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python<ul><li>
OR equivalent experience</li></ul></li></ul>
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:<ul><li>
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul></div><div>
Additional or preferred qualifications:<div><ul><li>
Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python<ul><li>
OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python</li><li>
OR equivalent experience</li></ul></li></ul></div></div><ul><li>
6+ years experience in service development, successfully shipping software across multiple releases in a SaaS environment</li><li>
Proven track record of technical leadership and delivering complex projects at scale</li><li>
Proficiency in C#, .NET, or equivalent languages and frameworks</li><li>
Experience with Azure or other cloud platforms</li><li>
Experience with Power Platform, M365 extensibility, and conversational AI systems</li><li>
Solid understanding of identity, access control, and secure service design</li><li>
Excellent communication and collaboration skills, with the ability to influence across teams and disciplines</li></ul>
#BICJobs
#MCSJobs
#CopilotStudio 
 
 
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: 
https://careers.microsoft.com/us/en/us-corporate-pay 
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.</div>

Principal Engineer

<div>Overview 
Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft&rsquo;s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers&rsquo; heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.
Artificial Intelligence (AI) has the potential to change the world around us. At Microsoft, we are committed to the advancement of AI driven by ethical principles. Are you passionate about the safety and security of AI and how our lives and society will be impacted? We are seeking an experienced Principal Software Engineer - AI Safety and Security to join a high impact team sitting at the intersection of cybersecurity and generative AI. As a Principal Software Engineer - AI Safety and Security, you will develop and execute the technical strategy for internal platform capabilities, partnering closely with cross-functional teams across the company, to secure Microsoft&rsquo;s flagship AI and agentic products. You will build infrastructure to enable sophisticated threat detection and forensic investigation, produce threat intelligence and insights, and accelerate response to safety and security incidents. 
More about our team: We are the Artificial Generative Intelligence Security (AeGIS) team, and we are charged with ensuring justified confidence in the safety and security of Microsoft&rsquo;s generative AI products. This encompasses providing infrastructure for AI safety and security; serving as a coordination point for all things AI incident response; researching the quickly evolving threat landscape; red teaming AI systems for failures; and empowering Microsoft with this knowledge. We partner closely with product engineering teams to mitigate and address the full range of threats that face AI services &ndash; from traditional security risks to novel security threats like indirect prompt injection and entirely AI-native threats like the manufacture of sexual exploitation and abuse material (SEAM) or deep fake production or the use of AI to run automated scams. We are a mission-driven team intent on delivering trustworthy AI and response processes when it does not live up to those standards. We are always learning. Insatiably curious. We lean into uncertainty, take risks, and learn quickly from our mistakes. We build on each other&rsquo;s ideas, because we are better together. We are motivated every day to empower others to do and achieve more through our technology and innovation. Together we make a difference for all of our customers, from end users to Fortune 50 enterprises. Our team has people from a wide variety of backgrounds, previous work histories, and life experiences, and we are eager to maintain and grow. 
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. 
Responsibilities 
<ul><li>
Detection Engineering: Create novel detection capabilities; build infrastructure that enables meta-cognition, mechanistic interpretability, and anomaly detection, to identify patterns of attack signatures at scale, in partnership with AI Incident Response and Threat Hunting teams.
</li><li>Threat Intelligence: Deliver data integrations across multiple data sources and platforms; serve diverse stakeholder needs for threat intelligence; partner with data science to operationalize pipelines that aggregate and correlate multi-source signals; deliver actionable insights, trend analyses, and automated reporting integrated with detection and response workflows.</li><li>
Mitigations: Develop mitigation strategies against emerging attack techniques and implement scalable defensive tools and architectures, in partnership with AI Red Team, security research, and product teams across the company. Build and maintain data pipelines and integrations with Azure Data Factory, Spark, Kusto, and more. Provide hands-on technical leadership: prototype in code, review designs and Pull Requests (PRs), define APIs and data contracts, build comprehensive architectures, and establish evaluation frameworks to de-risk complex systems.</li><li>
AI Logging and Observability: Develop company-wide logging strategies and implementations, enabling reliable attack mapping and automated detections; understand the architecture and pipelines for existing logging, data storage, and observability systems; and determine what additional infrastructure should be built.</li><li>
Designing, developing, or maintaining secure software systems, with applied knowledge of authentication, data protection, access control, and secure coding practices.</li><li>
Designing and building scalable data pipelines and analytics infrastructure using orchestration tools such as Apache Airflow, Azure Data Factory, or equivalent, with an emphasis on data quality, automation, pipeline reliability, and framework development.</li><li>
Working with distributed data processing frameworks such as Apache Spark, Databricks, or similar technologies to transform and manage large-scale datasets.</li><li>
Design, build, and operate scalable, highly available services and systems across cloud platforms such as Azure, AWS, GCP, or comparable environments.</li><li>
Programming in Python, Scala, or similar languages for data engineering tasks, including performance tuning, observability, and working with query languages such as KQL.</li><li>
Support our Applied Science team in experimentation and evaluation of state-of-the-art ML techniques.</li></ul> 

Qualifications 
Required Qualifications:<ul><li>
Do you have a Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</li></ul> 
Preferred Qualifications:<ul><li>
6+ years experience in technical software engineering with significant ownership of platform, data, or security products, OR equivalent experience.</li><li>
2+ years of demonstrated experience in cybersecurity (SIEM, SOAR, XDR/EDR, cloud security, log/observability platforms, threat detection, security research, or similar).</li><li>
1+ years demonstrated technical depth with LLM Systems, agent orchestration, embeddings, vector databases, and tool use.</li><li>
10+ years experience driving complex platform, data, or security products end-to-end.</li><li>
Hands-on experience with cybersecurity workflows (alerting, triage, investigation, threat hunting, incident response) and familiarity with frameworks like MITRE ATT&amp;CK, NIST, or OWASP for LLM applications.</li><li>
Deep technical understanding of LLM-based systems&mdash;prompts, system instructions, agents/tools, RAG, embeddings&mdash;and experience in leading technical strategy and execution to build or secure AI copilots or agent-based products.</li><li>
Familiarity with advanced concepts in AI safety, such as metacognition and mechanistic interpretability.</li><li>
Familiarity with large-scale telemetry systems (data lakes, streaming pipelines, etc.).</li><li>
Experience with cloud-native environments (Azure preferred) and modern data/LLM/ML stacks.</li><li>
Exceptional written and verbal skills; adept at articulating business needs and driving alignment across engineering, research, and security teams.</li></ul> 
#MSFT Security #MSECAI #AI #RAI #Safety #Security #MSECAI #AEGIS #AIIR #AISP 
 
 
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: 
https://careers.microsoft.com/us/en/us-corporate-pay 
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.</div>

Principal Software Engineer - AI Safety and Security

<div>Overview 
Azure Storage is at the core of Azure, providing over 100 exabytes (100 million terabytes) of raw capacity distributed over 3000+ storage clusters in 200+ datacenters across 70 regions worldwide. Azure Storage provides the persistent storage layer in the cloud, powering millions of Azure virtual machines, holding centuries of video, billions of photos, and exabytes of data powering the latest breakthroughs in AI.
As a Principal Engineering Manager - Azure Storage, you will work closely with our Data Scientists, Software Engineers, Program Managers and DevOps Engineers to understand the business requirements. You will design and build a system to manage the capacity Azure Storage over its diverse SKU types, customer traffic patterns, account dimensions, regions and requirements, while optimizing the use of resources. You will also collaborate with other partners and stakeholders to ensure that the dependencies are identified and built, observability is implemented, and tooling &amp; automation are made available to support Operations.
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. 
Responsibilities 
<ul><li>
Help define the architecture and specifications of the system that can manage resource usage in a dynamic environment.</li><li>
Design and build the system components, interfaces, protocols, data models, security and scalability aspects of the system.</li><li>
Build tests, simulator and operationalize the rollout of the system to allow for upgrade from existing system and from one version to the next.</li><li>
Ensure a high level of utilization of storage resources to minimize the cost of goods and services (COGS) and maximize profitability.</li><li>
Communicate and document the system architecture &amp; design clearly and effectively to the development team and other stakeholders.</li><li>
Respond to changing business requirements by generating new ideas and control laws, rapidly pivoting development and incorporating process changes.</li><li>
You will participate in DevOps to provide operational support and to identify pain points &amp; improvements in tooling and automation.</li></ul> 

Qualifications 
Required Qualifications:<div><ul><li>
Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python<ul><li>
OR equivalent experience.</li></ul></li></ul></div><div>
Other Requirements:<ul><li>
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:<ul><li>
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.</li></ul></li></ul>
Preferred Qualifications:<div><ul><li>
Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python<ul><li>
OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python</li><li>
OR equivalent experience.</li></ul></li><li>
4+ years people management experience.</li><li>
 3+ years of experience in system architecture</li><li>
3+ years of experience in working with decision/optimization systems in areas such as strategy games, logistics/supply chain, simulation, control systems, etc.</li><li>
2+ years of experience in DevOps.</li></ul>
#azurecorejobs</div></div> 
 
 
Software Engineering M5 - 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.</div>

Software Engineer Manager - Azure Storage

<div>Overview<div> 
Excel is one of the most widely used and impactful software programs in the world, powering solutions for businesses and individuals across every industry. We are seeking a Principal Applied Science Manager to join the Excel Core team&mdash;an opportunity to shape the future of productivity and influence hundreds of millions of users globally. Your mission: bring cutting-edge Artificial Intelligence (AI) technologies, patterns, and model capabilities into production, delivering intelligent experiences directly in the Excel grid.
As a Principal Applied Science Manager, you will work at the intersection of research and engineering&mdash;leading an Applied Science team, writing production-quality code, collaborating with researchers and engineers, and fostering a culture of rapid experimentation that ships. You&rsquo;ll help define the next generation of AI-powered features in Excel, blending scientific rigor with engineering excellence to create experiences that delight users and transform workflows.
Opportunities in Excel:<ul><li>
AI-Powered Intelligence in the Grid: Design and deliver Copilot‑powered contextual experiences that improve customer workflows through inline, intelligent assistance. Build scalable systems that anticipate user needs and surface relevant guidance to help users complete their tasks efficiently.</li><li>
Develop innovating new functions using Copilot to mix the power of AI with the versatility and richness of the Excel Calculation engine.</li><li>
Core Platform Innovation: Excel core functionality and fundamentals, including the Calculation Engine, Collaboration Experiences, Performance and Accessibility.</li><li>
Data Visualization &amp; Business Intelligence: Reinvent how users interact with data through PivotTables, Charting, and new Copilot-driven insights.</li><li>
Cloud-Scale Architecture: Re-architect the service-backed infrastructure that powers collaboration, Copilot, and core cloud capabilities by optimizing file storage and service protocols.</li><li>
Strategic Enterprise Partnerships: Work closely with high-impact customers to refine and extend Excel&rsquo;s platform with a focus on the core fundamentals&mdash;calculation, collaboration, reliability, and performance.</li></ul>
Microsoft&rsquo;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.</div> 
Responsibilities 
<div><ul><li>
Defining, leading, and helping to conduct research projects that simultaneously advance the state-of-the-art and directly benefit Microsoft&rsquo;s core productivity products.</li><li>
Drive complex orchestration of Copilot workflows and agent pipelines, blending prompt engineering, tool invocation, and context grounding for productivity scenarios.</li><li>
Contribute to the end-to-end development, deployment, and continuous improvement of advanced multimodal machine learning (ML)/ large language model (LLM) systems&mdash;including dataset curation, labeling strategy, model architecture, scalable training, and rigorous evaluation (offline and online).</li><li>
Stay current with research and industry trends, identifying opportunities to integrate emerging technologies and methods into the Excel Core ecosystem across the entire spectrum of AI adoption.</li><li>
Effectively communicating with product leaders (and often Microsoft researchers (MSR)) throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts.</li><li>
Collaborate with engineering and product teams to define success metrics, design and execute experiments (e.g., A/B testing), monitor user signals, and iterate on deployed features.</li><li>
Embody our culture and values.</li></ul></div> 

Qualifications 
Required Qualifications:<div><ul><li>
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)<ul><li>
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)</li><li>
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).</li><li>
OR equivalent experience.</li></ul></li><li>
1+ year(s) of people management experience.</li></ul>
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:<ul><li>
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul>
Preferred Qualifications:<div><ul><li>
Experience orchestrating LLM-based agent pipelines - prompt engineering, tool invocation, context grounding and evaluation - for productivity scenarios, alongside other advanced ML techniques.</li><li>
Advanced degree (Master or PhD) in Computer Science, Math, Statistics, or related areas with industry experience or research publication in LLMs, ML, or Natural language processing (NLP).</li><li>
Proven expertise and background in designing and implementing AI models that serve millions of users in scaled production environments or agent-based workflows for real-world productivity applications.</li><li>
Demonstrated success moving applied research into shipped product features, with clear ownership of the end-to-end ML lifecycle&mdash;data collection, cleaning, modeling, evaluation, prompt engineering and continuous improvement.</li><li>
Experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.</li><li>
Deep understanding of transformer-based architectures and hands-on experience with model optimization techniques (quantization, pruning, distillation, adapter tuning).</li><li>
Customer-obsessed mentality and passion for translating research breakthroughs into meaningful product impact.</li><li>
Experience in designing and debugging complex services.</li><li>
Ability to communicate and collaborate with multiple teams.</li></ul><div> 
#appliedsciences
 
#appliedscientist
 
#excelcore</div></div></div> 
 
 
Applied Sciences M5 - 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.</div>

Principal Applied Science Manager - Excel Core

<div>
 
 Overview
 
 
 
 Shape the future of Surface by building the data backbone that powers insights, innovation, and customer delight. The Surface insights and intelligent experiences team drives strategic insights and innovation across Microsoft by transforming complex data into actionable intelligence and customer facing experiences. By connecting data, technology, and business priorities, the team ensures Microsoft stays ahead in delivering value at global scale.
 
 
 As a
 
 Data Engineer II
 
 in the data services team, you will design and build scalable data pipelines, optimize data flows, and ensure the integrity and availability of mission-critical datasets. You&rsquo;ll partner closely with data science, analytics, product, and engineering teams to transform data and raw telemetry into actionable insights that drive both product innovation and experiences that empower partners and customers.
 
 
 
 This Opportunity Will Allow You To
 
 
 
 <ul>
 <li>
 Accelerate your career growth by working on high-impact, global-scale data systems.
 </li>
 <li>
 Develop deep technical expertise in modern data platforms, cloud services, and big data technologies.
 </li>
 <li>
 Hone your problem-solving skills by tackling complex challenges in performance, reliability, and data quality.
 
 
 </li>
 </ul>
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and operate batch and streaming data pipelines that ingest from diverse sources into cloud data platforms (e.g., ADLS Gen2/Microsoft Fabric, Synapse/Azure SQL/Cosmos DB), with strong SLAs and observability.
 </li>
 <li>
 Develop services and APIs that expose curated datasets and features to downstream applications and ML/analytics scenarios; contribute to backend components, testing, and performance tuning.
 </li>
 <li>
 Harden security and networking for data workloads (e.g., private endpoints, VNet/VPN integration, role‑based access, key management), partnering with security and networking teams.
 </li>
 <li>
 Automate and productize: apply DevOps/DataOps (GitHub/Azure DevOps, CI/CD, IaC such as Bicep/Terraform) to deliver reliable releases, repeatable environments, and cost‑efficient operations.
 </li>
 <li>
 Collaborate &amp; document: write design docs, review code, and work cross‑functionally with PMs, data scientists, and stakeholders.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) experience in business analytics, data science, software development, data modeling, or data engineering
 </li>
 <ul>
 <li>
 OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years experience in business analytics, data science, software development, data modeling, or data engineering
 </li>
 <li>
 OR equivalent experience.
 
 </li>
 </ul>
 </ul>
 
 Preferred Qualification
 
 
 
 <ul>
 <li>
 3&ndash;5+ years building and operating data platforms/services at scale (batch + streaming), including cost management and observability (e.g., Azure Monitor/Log Analytics/Azure Data Explorer).
 </li>
 <li>
 Experience developing back‑end services/APIs (REST/gRPC), event‑driven patterns, and containerization (Docker/Kubernetes).
 </li>
 <li>
 Hands‑on with lakehouse (e.g., Delta/Parquet) and warehouse paradigms; dimensional/semantic modeling; BI enablement (e.g., Power BI/Fabric DW).
 </li>
 <li>
 IaC (Bicep/Terraform), pipeline orchestration (Fabric Data Factory/Synapse/ADF), testing frameworks (unit/integration/data quality).
 
 
 </li>
 </ul>
 #W+DJOBS
 
 
 Data Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.
 
 
 Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
 
 
 https://careers.microsoft.com/us/en/us-corporate-pay
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data Engineer II

<div>
 
 Overview
 
 
 
 Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft&rsquo;s expanding Cloud Infrastructure and responsible for powering Microsoft&rsquo;s &ldquo;Intelligent Cloud&rdquo; mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide and we are looking for passionate Firmware Engineer to help achieve that mission.
 
 
 As Microsoft's cloud business continues to grow the ability to deploy new offerings and hardware infrastructure on time, in high volume with high quality and lowest cost is of paramount importance. We are seeking a
 
 Firmware Engineer
 
 to join our team within SCHIE, where we build the foundational firmware that powers Microsoft&rsquo;s Azure infrastructure&mdash;including its cutting-edge AI accelerator silicon. This role offers a unique opportunity to work across Azure&rsquo;s custom silicon programs and contribute directly to the firmware stack that enables Microsoft&rsquo;s most advanced AI workloads.
 
 
 
 At Microsoft, our mission&mdash;to empower every person and every organization on the planet to achieve more&mdash;guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress&mdash;people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what&rsquo;s next for everyone.
 
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, debug, test and release firmware for Azure&rsquo;s custom AI silicon programs, including developing and testing firmware on pre-silicon platforms and post-silicon platforms
 </li>
 <li>
 Collaborate with silicon, hardware, architecture and software/firmware teams to deliver secure, production-grade firmware
 </li>
 <li>
 Participate and drive SoC bring up and troubleshooting
 </li>
 <li>
 Participate and support silicon&rsquo;s Data Center deployment and operation
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field
 </li>
 <ul>
 <li>
 OR equivalent experience.
 
 </li>
 </ul>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Proficient in embedded RUST, RUST RTOS&rsquo;s and toolchains
 </li>
 <li>
 Experience with SoC bring-up, OS primitives, and multi-threading
 </li>
 <li>
 Experience in working in pre-silicon environments
 
 
 </li>
 </ul>
 Firmware Engineering IC2 - The typical base pay range for this role across the U.S. is USD $84,200 - $165,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $109,000 - $180,400 per year.
 
 
 Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
 
 
 https://careers.microsoft.com/us/en/us-corporate-pay
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Firmware Engineer

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