Principal Service Engineering Manager jobs at Microsoft

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

Required/Minimum Qualifications:

• Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
• 2+ years of experience managing cross-functional and/or cross-team projects.

Other Requirements:

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

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

Preferred/Additional Qualifications:

• 6+ years of industry experience in engineering, product management, or technical program management with an emphasis on government and industry customers that are mission focused and/or deal with sensitive and classified workloads.
• Experience bringing new approaches or different ways of doing things to an existing problem space.
• Demonstrated situational awareness. You will be working closely with other product group people across Microsoft (Directors, Group Managers etc.) you will also work closely with customer leadership, engineers, and system administrators. You will have to be able to adjust your approach to the specific audience.
• Deep understanding and experience of the Intelligence and/or Security domain(s), key challenges, priorities, and stakeholders
• Previous experience and success in an engineering role where you delivered cloud services along with demonstrated experience of engineering practices and engaging engineering teams so that you can express and drive new feature requirements in Azure.
• Proven initiative and influence with demonstrated ability to solve challenging and complex problems requiring the effort and impact of a diverse cross team.
• Experience tailoring processes and governance structures to balance rigor and consistent results while moving fast and driving innovation.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until October 13th 2025.

• Drive and effectively manage strategic and complex projects with executive visibility and critical dependencies across a variety of cross functional teams.
• Develop a deep understanding of how government customers use Azure and their need for differentiating technologies with data sensitivity top of mind.
• Engage colleagues across a large, diverse, and distributed organization to drive decisive action that delivers results for expanding the market for Azure across international governments
• Partner with engineering, infrastructure, marketing, compliance, finance, legal, and other Microsoft teams to translate customer demand signals into platform priorities to unblock Azure growth.
• Remove customer barriers to cloud adoption by ensuring government-relevant infrastructure, security, and identity requirements are built into Azure services to support sensitive government workloads
• Establish and drive the rhythm of business (meeting cadence), core set of stakeholders, and right sized reporting to offer rigor and transparency while still allowing the team to move fast
• Traditional PM functions: quality control, risk management, developing and tracking project schedules, communicating to key stakeholders, effective and efficient decision making, meeting deadlines
• Be Voice of Customer to share insights and best practices, engage Engineering teams to remove blockers.

You will be accountable for:

• Service / Product Definition – Partner with engineering teams to design architecture and integrate customer solutions that address priority customers and broad market needs. Define program goals and prioritize feature requests into feature release milestones. Define success criteria and performance metrics while managing delivery and actively identify and mitigate risks using data driven approaches.
• Service / Product Development – Drive cross functional team orchestration for complex delivery of features against the service/product roadmap. Develop, track, coordinate, and manage risk of end-to-end project delivery schedules at tactical and executive levels. Understand critical path and dependencies to hold stakeholders accountable adjusting as needed to ensure successful project delivery.
• Service / Product Performance – Identify, collect, and summarize performance metrics to derive deep insights to lead to course corrections and optimizations. Leverage customer listening, telemetry, root cause analysis to form hypothesis and make data drive recommendations to engineering teams

Embody our and .

As a Senior Software Engineer on the Azure Kubernetes Service (AKS) team, you will help build secure, scalable, and reliable cloud-native infrastructure. Your focus will be on cross-cutting security concerns across the AKS stack, including designing and implementing secure-by-default features, improving threat modeling, and integrating artificial intelligence (AI)-assisted tooling to enhance security workflows. You will collaborate with engineers across the stack to build libraries, services, and automation that strengthen the security posture of AKS.

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

• 4+ year(s) experience with Kubernetes, Go programming language (Golang), and cloud-native technologies.

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:

• 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 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 equivalent experience.

• 6+ year(s) experience with Kubernetes, Go programming language (Golang), and cloud-native technologies.

• 4+ year(s) experience building and operating cloud-based and distributed systems, with a strong understanding of scalability, reliability, authentication, and authorization in production environments.

• 1+ year(s) experience working with artificial intelligence (AI) and agentic technologies, such as large language models (LLMs), autonomous agents, or AI-assisted development tools including GitHub Copilot, security analyzers, and anomaly detection systems.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until October 17th, 2025.

• Design and implement secure, scalable components and libraries for Azure Kubernetes Service (AKS), contributing to cloud-native infrastructure that supports a wide range of workloads.
• Collaborate with security and engineering teams to identify and address cross-cutting security concerns across the AKS stack.
• Develop and integrate artificial intelligence (AI)-assisted tools to support threat modeling, code analysis, and incident response.
• Contribute to automation and tooling that improves the quality of security signals and enhances developer productivity.
• Participate in design reviews and help shape secure-by-default architecture decisions.
• Stay current with emerging trends in security, AI technologies, and developments in the Kubernetes ecosystem.

for the intelligent cloud and intelligent edge world. The Microsoft Corporate Strategy Team is a small, specialized group that advises our CEO and executive leadership team on driving, assessing, and prioritizing the long-term strategic direction and growth for the company across its portfolio of existing and new offerings. The team has builta track recordof spotting trends early andthroughout the company. The group broadly focuses on three sets of activities:

• Thought leadership on the future state of the industry (e.g., economics of the cloud) and potential impact to Microsoft’s overall strategy

• Counsel to executives on multi-billion dollardecisions (inclusive of “needle moving” growth drivers, large strategic acquisitions and partnerships, portfolio optimization, etc.)

• Internal projects to ensure Microsoft’s processes and operations enable the company to grow and achieve our mission

As a member of Microsoft’s Corporate Strategy Team, you will drive formal quantitative and qualitative analytical decision support on high-priority, cross-company strategic issues. Example project areasideation, andcompetitive analysis and game theory.

Required/Minimum Qualifications

• , Finance, Economics, Liberal Arts, Computer Science, or related field AND 4+ years, marketing, strategy, business planning, consulting, banking, finance, economics, and/or partner organization experience
  • ORMaster's Degree in Business Administrationor related field AND 3+ years marketing, strategy, business planning, consulting, banking, finance, economics, and/or partner organization experience
  • OR equivalent experience (e.g., scaling a business, incubation, driving change in a large company, entrepreneurship, management consulting).
• 2+ years experience in Strategy, Management Consulting, and/or Finance

or Preferred Qualifications

• , Finance, Economics, Liberal Arts, Computer Science, or related field AND 8+ years marketing, strategy, business planning, consulting, banking, finance, economics, and/or partner organization experience
  • ORMaster’s Degree in Business Administrationor related fieldAND 6+ years marketing, strategy, business planning, consulting, banking, finance, economics, and/or partner organization experience
  • OR equivalent experience (e.g., scaling a business, incubation, driving change in a large company,entrepreneurship).
• 6+yearsexperiencein Strategy, Management Consulting, and/or Finance.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until October 22, 2025.

Corporate Strategy

• Develop and deliver divisional level analysis, options, execution plans, and recommendations based on analytical rigor, logic, and subject matter expertise
• Proactively spot strategic opportunities missed by others and plot insightful approaches to address them
• Investigates and provides an analysis of competitors, partners, business models, market sizing, and industry trends. Investigates and provides analysis of the merger and acquisition (M&A), venture funding, and public market environment and trends. Conducts market landscape analyses and reviews of companies of potential interest.
• Develops an understanding of Microsoft’s product portfolio, strategic priorities, competitive position, gaps, and potential opportunities. Investigates and provides an analysis of the merger and acquisition (M&A), venture funding and public market environment and trends. Supports and reviews product roadmap, go-to-market, integration plans, and related Issues.

Research, Analysis, & Framing

• Conducts market-based research by identifying and gathering information (e.g., financial statements, reports, analyses, stakeholder feedback, expert calls); interprets information with guidance from tenured colleagues as needed, including researching existing business and identifying new spaces for Microsoft; conducts analyses (e.g., financial modeling) to validate proposed ideas and inform business decisions.
• Assists in refining initial framing established by project lead for strategic questions and applies structure to analysis.

Problem Solving & Insight

• Guide project team problem solving through development of frameworks/methodologies to create insightful analysis and recommendations; identify the right question to frame the team’s work
• Synthesizes findings into insights within a project, including implications that inform business decisions; leverages insights to support strategic recommendations for Microsoft, with guidance from project leads.

Communication

• Produce high-quality executive communications and arguments to facilitate discussions and decision making
• Deliver project findings, recommendations, and implications to executives clearly and succinctly
• Communicates and advocates insights to business leaders (e.g., Senior Managers, Directors) and conveys viewpoints through written documents (e.g., memos, reports) and influence models (e.g., meetings, presentations) through multiple iterations of feedback and vetting, creating and executing outlines.
• Delivers project findings, recommendations, and implications to business partners to facilitate discussions and decision making.

Business Partner Relationships

• Deliver project findings, recommendations, and implications to executives clearly and succinctly
• Establishes and maintains key points of contact with internal teams (e.g., Finance, Marketing, Engineering). Builds working relationships with project stakeholders and business partners.
• Shares knowledge with business leaders (e.g., Senior Managers, Directors) on a particular area of expertise, leveraging and broadening deep technical/product knowledge and market awareness for a domain to inform strategic business decisions.

As the Principal Software Engineer on our team, you would have the opportunity to work on:

• ONNX: an open standard format for representing AI models, enabling AI developers to work on AI models with a variety of frameworks, tools, runtimes, and compilers.
• ONNX Runtime: ONNX based cross-platform, high performance ML inferencing and training accelerator.
• Foundry Local: an on-device AI inference solution offering performance, privacy, customization, and cost advantages. It integrates seamlessly into your existing workflows and applications through an intuitive CLI, SDK, and REST API.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year.

Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

As a Principal Software Engineer on the team the common tasks of the job would include, but not be limited to

• Partnering with appropriate stakeholders to determine user requirements for one or more complex scenarios.
• Providing technical leadership for the identification of dependencies and the development of design documents for a product, application, service, or platform.
• Leading by example and mentoring others to produce extensible and maintainable code used across the company.
• Leveraging deep subject-matter expertise of cross-product features with appropriate stakeholders (e.g., project managers) to lead multiple product's project plans, release plans, and work items.
• Holding accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions.
• Proactively seeking new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale and shares knowledge with other engineers.
• Embodying our

• Bachelor's Degree AND 2+ years' experience in product/service/project/program management or software development
  • OR equivalent experience.
• 2+ years of program or project management experience in cloud infrastructure, hardware operations, or supply chain coordination.
• 1+ years of experience delivering software features in a fast-paced online services environment.
• Familiarity with data center infrastructure and rack-level planning.
  1+ years experience working with engineering teams to translate business and technical requirements into structured documentation.
  Proficient organizational and communication skills, with attention to detail and follow-through.

Other Qualifications:

• 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:

• Bachelor's Degree AND 5+ years of experience in product/service/project/program management
  • OR software development
  • OR equivalent experience.
• Understanding of Data center design/build, hardware lifecycle, vendor management, and inventory/supply chain logistics.
• Exposure to InfiniBand, RDMA, GPU backend networking environments, Capacity delivery (GPU preferred) planning, supply and execution business.
• 2+ years experience with infrastructure telemetry, or deployment tooling. Interest in automation, process optimization, and scalable frameworks.
• Ability to manage multiple workstreams and adapt to changing priorities.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until October 15th, 2025.

• Responsible for ensuring system readiness for buildout when expensive GPU racks arrive at the datacenter.
• Collaborate with engineering partners across datacenter, networking and supply chain organizations to ensure all the logical artifacts and metadata—rack layouts, cabling maps, firmware matrices, and configuration templates - are created for deployments out of critical path.
• Coordinate with supply chain/logistics and infrastructure buildout teams to ensure readiness of materials and supporting infrastructure.
• Participate in cross-functional syncs to ensure alignment and resolve blockers in the pre-dock phase. Drive risk mitigation and close readiness gaps.
• Drive continuous process improvements and automation efforts in planning and pre-dock execution workflows.

We are building a planet-scale multi-modal database from the ground up. You will be part of the team that is reimagining the databases in the era ofLarge Language Models (by deeply integratingArtificial Intelligence (into all parts of the stack.

As aSenior Principal Machine Learning Engineer, you will lead and collaborate with a team of passionate engineers, driving ideas to impactful results in a fast-paced environment. You will work on designing, building, and deploying large-scale machine learningsystems, withemphasis on production-grade solutions involving data pipelines, distributed training, model serving, and performance optimization. You are experienced in machine learning engineeringfrom ideation and algorithm selection,to architecture and implementation, to deployment and continuous improvement.

great communicationskills helps deliver superior products and is key to success. This is

Required Qualifications

• Bachelor's Degree inComputerScience,Machine Learning or Artificial Intelligence, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)
  • ORMaster's Degree inComputerScience,Machine Learning or Artificial Intelligence, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR DoctorateinComputerScience,Machine Learning or Artificial Intelligence, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• Proven experience in training large-scale modernMachine Learning (ML)models (e.g., transformers, diffusion models, foundation models).
• Hands-on experience inkey model optimization techniques (e.g., mixed precision training, distributed training, fine-tuning, RLHF, LoRA).
• Familiarity with model evaluation, data curation pipelines, and reproducible research practices.

Preferred Qualifications

• Master's Degreein ComputerScience,Machine Learning or Artificial Intelligence, or related fieldAND 12+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctoratein ComputerScience,Machine Learning or Artificial Intelligence, or related fieldAND 8+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• Deep understanding of modern deep learning frameworks such asPyTorchor TensorFlow, and scalable training infrastructure.
• First-author publication in top-tier machine learning conferences or journals (e.g.,NeurIPS

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until September 3, 2025.

• velopand deploy scalable Machine Learning models.
• Develop robust evaluation frameworks to assess model performance, conduct systematic benchmarking, and addressidentifiedweaknesses while ensuring compliance with customer standards.
• Defines the vision and strategy for collaboration efforts between researchers and development teams at the individual product level. Bringsnew technologyand approaches into production by applying long-term research efforts to solve immediate product needs. Drives high-stakes negotiations across teams to ensurecutting edgetechnology is being applied to products in a practical way that meets key businessobjectives. Ensures that teams apply an understanding of research approaches used across and outside of the company toleverage(and not re-invent) solutions.Representsthe organization across the company.
• Incorporates key business and product requirements to define a clear agenda and vision that influences the direction of the company/products and provides a competitive or strategic advantage. Drives programs structured around the specificity of key business challenges. Provides strategic direction for the kinds of data used to solve problems.
• Embody our and .

As a Principal Software Engineer on the Pipelines team within AI Foundry Agents Platform, you will play a crucial role in developing a cloud service that enables AI application developers and data scientists to author and processAI Agents for Enterprise applications

Required/Minimum Qualifications:

• Bachelor's Degree in Computer Science, or related technical disciplineAND 6+ years technical engineering experience with coding in languages including, but not limited to, C++, C#, Java, or Python
  • ORequivalent experience.
• Experience with microservices architecture, Kubernetes (K8s), NGINX, observability (logs, metrics, etc.), and network layer protocols.

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/Additional Qualifications:

• Extensive experience with K8s cluster creation, management, and optimization.

• Expert level knowledge around security and compliance experience for K8s.

• Solid understanding of networking in K8s for inter, intra, and external pod-to-pod, control, and data plane communications.
• Security Configuration and Compliance: Configure, update, andmaintainsecurity tools used for endpoint security, log collection and reporting, vulnerability, and compliance scanning. Hardening and compliance with best practices, benchmarks, andremediatevulnerabilities as reported by security.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Understand User Requirements: Partner with stakeholders todetermineuser requirements and incorporate feedback into future designs.
• Design: Lead architecture discussions, create design documents, and ensure system architecture meets security and compliance requirements.
• Coding: Produce extensible and maintainable code, optimize and debug code, andparticipatein code reviews to ensure quality standards.
• Implement: Drive project plans, lead experimentation todeterminethe effectiveness of changes, and ensure safe deployment of solutions.
• Reliability and Supportability:Maintainlive service operations, develop playbooks for issue resolution, and reduce incident volume.
• Engineering Excellence: Enhance andidentifynew developer tools, apply automation in production, and stay current withnew trendsand technical solutions.
• Other:Embody our