Overview

The Cloud & AI organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ 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. Microsoft is one of the largest enterprise service companies in the world.

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’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ 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.

We are looking for a Sr. Software Engineer to join our Endpoint Security Team to develop and maintain security services to ensure that our endpoints are protected in the right way. Our solutions are focused on enabling and detecting software vulnerabilities using telemetry from multiple sources and identifying opportunities to minimize or prevent security risks.

The candidate will be building solutions to enhance our Device Health policies at enterprise scale. Successful candidates will have in-depth technical experience with Software Vulnerabilities and vulnerability scanning solutions. They should be able to combine their technical skills with enthusiasm, ingenuity, results-orientation, and ability in working with the rest of the team. A proficient candidate will have experience in a team environment, experience running enterprise scale services and platforms, technical depth in cloud platforms, agile development practices, and experience in designing & tuning telemetry.

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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

Job Responsibilities

• Lead technical design and architecture discussions for core Endpoint Security services
• Collaborate with Microsoft Product Groups to define and prioritize project backlogs
• Responsible for all stages of the Software Development Lifecycle. Software Development: Design, develop, deploy, and maintain distributed systems software components, ensuring high availability, scalability, and performance
• Write high-quality, maintainable code, and review contributions from engineers
• Adhere to modern engineering practices, enacting change to services through software engineering, unit testing, debugging, refactoring, code reviews and maintaining build/deployment pipelines.
• Identify opportunities and drive the implementation of automation to improve service health, manageability, reliability, and telemetry.
• Own, triage, investigate and resolve service issues with an emphasis on broad communication, learning &amp, teaching throughout the process.
• Author functional and technical documentation. Communicate on a deep technical level with product engineering, project management and operations teams to improve. and optimize products, improve infrastructure, and evolve services.
• Translate business requirements into technical specifications and help manage priorities, deliverables, and timelines.
• Embody our culture and values

Qualifications

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.

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:

• 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.

#MSSecurity and #CISOOrganization

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

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

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

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

Overview

Microsoft AI is seeking  an experienced High Performance Computing Operations Engineering Manager to join our infrastructure team on the MAI SuperIntelligence Team. In this role, you’ll lead a team of Site Reliability Engineers who blend software engineering and systems engineering to keep our large-scale distributed AI infrastructure reliable and efficient. You’ll work closely with ML researchers, data engineers, and product developers to design and operate the platforms that power training, fine-tuning, and serving generative AI models.

Microsoft Superintelligence Team

Microsoft Superintelligence Team’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. This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence — ultra-capable systems that remain controllable, safety-aligned, and anchored to human values.

Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society — advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in — come and join us as we work on our next generation of models!  

By applying to this Mountain View, CA position, you are required to be local to the San Francisco area and in office 4 days a week.

Responsibilities

Responsibilities

• Team leadership: Lead a team of experienced SREs to ensure uptime, resiliency and fault tolerance of AI model training and inference systems.

• Observability: Design and help maintain monitoring, alerting, and logging systems to provide real-time visibility into model serving pipelines and infra.

• Automation & Tooling: Lead building of automation for deployments, incident response, scaling, and failover in hybrid cloud/on-prem CPU+GPU environments.

• Incident Management: Lead on-call rotations, troubleshoot production issues, conduct blameless postmortems, and drive continuous improvements.

• Security & Compliance: Ensure data privacy, compliance, and secure operations across model training and serving environments.

• Collaboration: Partner with ML engineers and platform teams to improve developer experience and accelerate research-to-production workflows.

Qualifications

Required Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with Site Reliability Engineering, DevOps, or Infrastructure Engineering Leadership roles AND 8+ years experience with Kubernetes, Docker, and container orchestration, AND 6+ years experience with programming/scripting skills not limited to Python, Go, or Bash

• OR equivalent experience

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience AND 10+ years experience with Kubernetes, Docker, and container orchestration, AND 10+ years' experience with public cloud platforms like Azure/AWS/GCP and infrastructure-as-code

• OR equivalent experience

• 6+ years people management experience.

• 8+ years experience in monitoring & observability tools (Grafana, Datadog, OpenTelemetry, etc.).

• Knowledge of CI/CD pipelines for Inference and ML model deployment.

• Solid knowledge of distributed systems, networking, and storage.

• Experience running large-scale GPU clusters for ML/AI workloads (preferred).

• Familiarity with ML training/inference pipelines.

• Experience with high-performance computing (HPC) and workload schedulers ( Kubernetes operators).

• Background in capacity planning & cost optimization for GPU-heavy environments

Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

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

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

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

Overview

Microsoft AI is looking for experienced Member of Technical Staff, High Performance Computing Engineers to help build and scale the infrastructure that trains our frontier models and powers the next evolution of our personal AI, Copilot. This role offers the unique opportunity to work on some of the largest scale supercomputers in the world - a rare chance to operate at such a significant scale.

Microsoft Superintelligence Team

Microsoft Superintelligence team’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.

This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.

We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

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.

By applying to this Mountain View, CA position, you are required to be local to the San Francisco area and in office 4 days a week.

Responsibilities

• Design, operate, and maintain large-scale HPC environments, drawing on hands-on engineering experience in production settings.
• Own the deployment, configuration, and day-to-day operation of HPC schedulers (e.g., SLURM, Kubernetes), ensuring reliable and efficient job scheduling at scale.
• Serve as a technical owner for at least one core HPC domain (GPU compute, high-performance storage, networking, or similar), including ongoing maintenance, performance tuning, and troubleshooting of massive clusters.
• Develop and maintain automation and tooling using Bash and/or Python to improve cluster reliability, observability, and operational efficiency.
• Partner closely with researchers and engineers to support their workloads, troubleshoot cluster usage issues, and triage failed or underperforming jobs to resolution.
• Drive work forward independently by navigating ambiguity and technical roadblocks, delivering incremental improvements that get capabilities into users’ hands quickly.
• Enjoy working in a fast-paced, design-driven product development environment, balancing stability with rapid iteration and experimentation.
• Embody our Culture and Values.

Qualifications

Required Qualifications:

• Do you have a Bachelor’s degree in computer science, or related technical field AND 4+ years technical engineering experience with deploying or operating on-premise or cloud high-performance clusters, AND 4+ years experience working with high-scale training clusters (ex. working with frameworks/tools such as nvidia InfiniBand clusters, SLURM, Kubernetes, Ray, etc.), AND 4+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP,
• OR equivalent experience?

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with deploying or operating on-premise or cloud high-performance clusters, AND 6+ years experience working with high-scale training clusters (ex. working with frameworks/tools such as nvidia InfiniBand clusters, SLURM, Kubernetes, Ray, etc.), AND 6+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP,

• OR equivalent experience.

• Experience with LLM training clusters
• Experience working with AI platforms, frameworks, and APIs
• Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.
• Experience working with large-scale HPC or GPU systems (ex. NVIDIA H100/GB200 or equivalent).
• Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
• Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
• Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies.
• 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.

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

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

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

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

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

Overview

The Microsoft Security Organization is building the next generation of security solutions by rethinking how security work is done from the ground up. The AI for Security (AI4S) Team within the Microsoft Threat Protection (MTP) Org is pioneering a new paradigm: leveraging frontier AI models, security specific tooling, knowledge graphs, and deep context engineering to transform how defenders detect, investigate, and respond to threats at global scale.

This is a fast-paced, highly interdisciplinary environment focused on real world security outcomes. We are looking for Software Engineer II + Senior Software Engineer - Applied AI for Microsoft Threat Protection (MTP) to help us in our goal to build intelligent security systems that meaningfully reduce defender toil, improve precision and speed, and unlock entirely new security workflows that were previously impossible.

The Challenge

Security today spans an enormous range of jobs from threat detection and triage to incident response, hunting, secure design, compliance, and platform hardening. Existing tools only partially address this space and often place the cognitive burden on humans.

AI for Security is changing that by:

• Applying frontier models purpose built for security workloads

• Building rich security knowledge graphs and context systems

• Combining structured and unstructured signals across Microsoft’s security platforms

• Designing AI native experiences that integrate reasoning, action, and feedback

This role directly contributes to creating worldclass AI powered security solutions used by millions of customers and defenders worldwide.

Responsibilities

• Design and build AI‑first security systems that leverage large language models, multimodal models, and emerging frontier capabilities to solve complex security problems
• Develop context and knowledge systems, including security knowledge graphs, semantic representations, and memory frameworks that enable high‑quality reasoning over security data
• Collaborate deeply across disciplines, working with:
• Security Engineers and Domain Experts
• Product Managers defining new AI‑native security experiences
• AI Infrastructure and Platform teams
• AI Research and Model Engineering Groups
• Translate security workflows into AI‑optimized architectures, identifying where automation, augmentation, and autonomy create step‑function improvements
• Prototype rapidly and iterate in a live production environment while maintaining Microsoft’s standards for security, reliability, and trust
• Shape the long‑term technical direction of AI for Security, influencing architecture, tooling, and best practices across MTP (Microsoft Threat Protection) Org

Qualifications

Required Qualifications:

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

Additional or 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.
• 3+ years of experience designing, building and operating scalable ML systems, including ML infrastructure and pipelines (Azure ML, Kubernetes), model versioning, observability, and secure deployment, with hands‑on experience in MLOps/AIOps/SecDevOps practices.
• 3+ years of experience building secure, reliable software systems, with applied knowledge of authentication, data protection, access control, and secure coding practices.
• 3+ years of experience designing, building, and operating distributed or cloud‑scale systems (Azure, AWS, or GCP), including production ownership, CI/CD integration, and operating highly available services.
• 2+ years of experience designing and building applications with LLM orchestration frameworks (e.g., LangChain, AutoGen), including agent‑based workflows, RAG pipelines, prompt engineering, and model fine‑tuning/evaluation.

MicrosoftThreatProtection  #MSFTSecurity  #MTPAI

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

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

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

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

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

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

Overview

We are looking for a high-energy candidate to fill the role of Deputy Program Executive on a long-standing 15+ years contract with the City of New York.

The Sr. Principal Project Manager must be PMI-certified with 10+ years experience working as a Senior Program Manager. The role is both demanding and fast-paced, and requires extensive experience (12+ years) applying the PMI discipline – development of project plans, resource allocation, documentation development, tracking and reporting of progress, risks, issues and actions, as well the ability to properly manage an accurate forecast. 

The candidate must have significant experience dealing with C-level clients - not only providing progress reports on a weekly basis, but also negotiating with C-level clients in terms of defining requirements for scope, time and budget for each newly approved project. 

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

Responsibilities

Account Delivery Management

• Structured thinker with extensive experience applying PMI-based disciplined approaches to program governance and delivery quality.
• Manages the direction of solution deliveries and influences others to secure resources to deliver on customer contracts. Ensures delivery for customers across the delivery lifecycle including envisioning, solution development, delivery planning, cloud consumption and usage, delivery management. Leads or participates in steering committee meetings with strategic customers to discuss progress toward delivery success.
• Contributes to consumption activities and the setting of strategic direction for consumption based on identification of broad patterns of consumption gaps, and drives consumption for complex customers (e.g., tier 1) by identifying blockers to consumption goals and enabling customers, through internal teams, to get the full value of their purchases. Holds accountability for project delivery forecast.
• Collaborates with Sales to support contract setup, signature, compliance, and execution from deal approvals to invoicing and closure. Manages areas of fiscal responsibility within project portfolio, staying within budget while driving engagement profitability and risk management.
• Supports strategic relationships with key stakeholders in the customer portfolio, often as part of a steering committee, to ensure service delivery is on track and major issues are being anticipated, identified, and managed. Supports new customer opportunities in partnership with Sales with highly significant or global impacts for Microsoft. Communicates current view of delivery to customer executives on regular cadence, as appropriate.

Intellectual Property (IP)

• Leads others in the use of intellectual property (IP) by providing recommendations for improvement including submitting new IP, contributing to complex IP, and driving standardization across IP ( e.g., statements of work [SOWs], work breakdown structures [WBS] by enforcing use of processes and artifacts with team members. Structures projects considering IP reuse from the beginning.

Relationship Development

• Engages senior internal and external stakeholders (e.g., Chief Executive-level executives) as a peer with deep subject matter expertise. Prevents and manages complex escalations through strategic and targeted communications with Chief Executive-level executives and delivers difficult messages as needed. Leverages brokering skills to assist other project managers in strategic communications. Collaborates with internal teams to manage overall customer relationships and plan mitigation strategies as needed.
• Drives customer satisfaction by representing Microsoft to senior customer stakeholders (e.g., Chief Executive-level, analyzing customer feedback, and leveraging trusted relationships with senior and executive leaders to act as the voice of the customer and ensure resolution of challenged deliveries. Manages expectations with a high level of political sensitivity by anticipating customer reactions, interpreting small signals, and taking proactive steps accordingly. Oversees the creation of Success Expectations and customer and partner experience (CPE).
• Adheres to project compliance standards (e.g., confidentiality, privacy) and requirements of the contract and accommodates customer compliance standards, including managing compliance-related complexities (e.g., high sensitivity to confidentiality). Champions compliance by driving knowledge sharing across geographies to build compliance capability of others.

Initiation

• Drives project initiation for projects of extremely high complexity (e.g., high profile, visible worldwide impact, extremely high impact, market making) by driving commitment of delivery resources, assigning resources across workstreams, and empowering and supporting program managers to create complex work breakdown structures (WBSs) leading to detailed project plans encompassing end-to-end view of the project (internal and external dependencies, vendor management, adherence to standards, doc creation, day 2 support run books, etc).
• Balances needs across projects in challenging situations (e.g., scarce technical resources) and collaborates with other groups (e.g., Independent Software Vendors, Global Delivery Center) on integrated planning and organization of onshore/offshore projects.

Contracting

• Oversees process for customer and partner resources (e.g., contractors, vendors) by providing input in partner briefings, partner candidate interviews, and identification and acclimation of partner resources to the team. Oversees negotiation and structuring of fixed-fee subcontractor contracts. Oversees customer contract Amendments, Delivery Acceptance, Proof of Delivery, and Invoicing.

Presales

• Leads pre-sales process for extremely high-impact projects by articulating the business value proposition associated with the project/change, evaluating associated complexities and risks to ensure feasibility of commercial offer, and reviewing work of peers for quality. Participates in review of proposed scope and assists in developing Statement of Work (SOW), Work Breakdown Structures (WBSs), estimates, preliminary risk assessments, etc.

Planning

• Oversees and provides input into the development of detailed project management plan to drive predictable delivery for the largest, most complex, and critical projects, leveraging deep expertise and experience and to drive scope, resources, and Microsoft project schedule in alignment and collaboration with customer plan. Drives overall strategy for project delivery and trains Microsoft and customer teams to proactively manage change as needed. Ensures use of baselining, resource load balancing, and application of work effort, dependency management, contingency planning, and utilization of software (e.g., Timeline).
• Establishes clear expectations and accountabilities (e.g., reconfirm scope, Responsible-Accountable-Consulted-Informed matrix) with all project team members (e.g., consultants) and stakeholders, as well as other Consulting Project Managers, for teams of high complexity by leading internal and external kick-off meetings (e.g., sales to delivery handoff, formal kick-off meetings) and may act as a lead project manager. Proactively engages broad set of internal and external stakeholders, including those who are impacted by project scope/outcome, but not directly involved (e.g., Enterprise Operating Unit, India Global Delivery, customer stakeholders) and engages subject matter experts in holistic planning activities, including team validation.

Monitoring and Controlling

• Orchestrates and oversees a broad range of project metrics on the largest, most complex projects with extremely high visibility (e.g., Vice President-level, global impact) through others. Proactively ensures adherence to key performance indicators (KPIs) and provides strategic direction to drive success and adapts to high-impact changes throughout project lifecycle.
• Oversees and proactively manages risks and issues within and projects of extremely high complexity, leveraging previous experience and subject matter expertise to evaluate trends in risks and optimize mitigation strategies across projects for high-impact risk scenarios using qualitative analyses (e.g., probability, impact, urgency) mitigation plan for high impact/probability risks. Leads critical recoveries and engages in resolving escalations across other critical projects and ensures tools are updated. Manages issue closure as a high priority and utilizes contingency planning to proactively respond when risks become issues.
• Ensures timely completion and quality of deliverables (e.g., documents) and tracking of agreed upon metrics across the largest, most complex, and critical projects by applying quality management techniques for collecting data (e.g., benchmarking, interviews), monitoring output and implementing corrective action while proactively ensuring time and resources needed to mitigate quality risks. Manages success expectations to create required deliverables. Contributes across projects to provide peer guidance where needed.
• Discusses and confirms customer change control at kickoff, anticipates changes and proactively addresses by probing to ensure change can happen smoothly early in the process. Tests process before initiating formal change.
• Manages finances for high-impact projects with large, complex scopes and budgets by balancing funding and resources across workstreams, performing deep analyses, and leveraging success expectations experience and expertise. Proact

Overview

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

The CoreAI organization at Microsoft builds the end-to-end Azure AI stack/PaaS and is core to Azure’s innovation and differentiation. We are the team building the global Azure AI infrastructure for running the largest AI workloads on the planet.

We do not just value differences or different perspectives, we seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

Within CoreAI, the Azure AI Knowledge team powers rich search experiences for apps of all kinds, also serving as a knowledge service for LLMs. Integrates the best of Microsoft AI for content understanding, search relevance and more.The rapid evolution of generative Artificial Intelligence (AI) has sparked a revolution in the need for advanced retrieval systems. These systems are the backbone of Copilot-style applications, seamlessly blending large language models with external data to drive unparalleled user experiences.

Within Azure, our team stands at the vanguard, pioneering the development of cutting-edge retrieval systems through Azure AI Search. We are on the lookout for an experienced Principal Software Engineer - CoreAI to join us in this exciting journey. This role presents a rare opportunity to lead the charge in developing pivotal features for an Azure service situated at the epicenter of the AI innovation wave.

Operating at the dynamic intersection of AI, Information Retrieval, and Cloud Services, our team thrives on pushing the boundaries of what's possible. This is more than just a job; it's an invitation to shape the future of AI-driven applications and cloud infrastructure.

By joining us at this pivotal moment, you'll play a pivotal role in driving the next wave of accelerated growth for our business. Embrace the opportunity to innovate within our core cloud service infrastructure, and together, let's chart the course for the future of AI-powered retrieval.

Responsibilities

• Lead architecture design, testing, and security compliance for products.
• Create design documents, oversee team efforts, and ensure test coverage, automation, and quality assurance.
• Address system dependencies and enable cross-team collaboration.
• Collaborate with stakeholders to identify user requirements, incorporate continuous feedback, and define critical metrics for product improvement and customer value.
• Mentor others in producing high-quality, maintainable code.
• Optimize, debug, and establish best practices.
• Conduct code reviews to ensure adherence to standards and resolve issues proactively using telemetry and diagnostics.
• Drive project planning, experimentation, and solution deployment.
• Optimize implementations to meet business objectives and ensure safe deployments while considering broader system impacts.
• Manage live service operations, resolve complex incidents, and create playbooks for issue resolution.
• Implement telemetry and data analytics to monitor and improve system performance, reliability, and scalability.
• Promote the use of developer tools and automation to enhance production and deployment processes.
• Maintain compliance with security, privacy, and accessibility standards.
• Stay updated on industry trends and regulations while fostering collaboration across teams to meet customer and partner needs.

Qualifications

Required/Minimum Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

• OR equivalent experience.

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:

• Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
• 10+ years of experience in programming languages such as C#, C++, Java, or Python.
• 5+ years building large distributed systems in a cloud environment.
• Prior experience dealing with search engine (Elasticsearch, Opensearch).
• Passionate about improving operational tools and operational footprint of services.

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

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

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

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

Overview

The AI for Good Lab is hiring a Principal Applied Data Scientist to join our team in Redmond to design, build, and deliver AI-driven solutions to address complex, interconnected societal challenges.

Our Lab spans a broad and evolving portfolio, from understanding how AI is diffusing across the world and its economic opportunities, to powering disaster response and resilience, as well as advancing sustainability and cybersecurity. These challenges are inherently ambiguous and interdisciplinary, demanding creativity, strong research instincts, and the ability to move decisively from uncertainty to insight and action. We are an agile, fast-moving applied research team that uses modern AI as a force multiplier, accelerating discovery, sharpening insight, and driving decisions that matter. We continuously pivot toward where our work can create the greatest impact now.

In this role, you will use AI and data science to research and build solutions that inform and drive real-world decisions, working in close partnership with other data scientists, researchers, and research organizations, as well as policymakers and practitioners

You will provide senior technical leadership for applied AI and data science initiatives, defining technical direction for advanced AI systems across humanitarian response, biodiversity, sustainability, public policy, and global development with deep application of data science, cloud platforms, and economics. As a trusted advisor, you will partner with leaders across Microsoft, academia, nonprofits, and government to guide responsible, evidence-based AI solutions to turn insights into impact.

You bring a strong appetite for learning new domains and technologies, paired with agile decision-making, flexibility in how you work, and a growth mindset. You contribute to a positive, inclusive team culture through clear documentation, ethical research practices, and active knowledge sharing as you navigate complex, evolving challenges.

Our mission is to empower every person and every organization on the planet to achieve more.

Responsibilities

• Lead and develop applied AI solutions (LLMs, Agents, Computer Vision) and data science solutions by identifying and gathering data, shaping problem formulations, applying AI, machine learning, and statistical methods, and generating insight with real-world impact.

• Use AI creatively as a research and solution-building tool, combining quantitative methods, experimentation, and domain knowledge to surface patterns, test ideas, and inform decisions.

• Rapidly prototype and validate approaches using modeling, statistics and experimentation; select methods under real-world constraints (cost/latency, safety, privacy, maintainability).

• Design and build reliable, maintainable, end-to-end systems spanning data pipelines, model lifecycle, evaluation/telemetry, deployment, and operations.

• Advance the AI for Good Lab research agenda by authoring technical papers and presentation, published both internally and externally .

• Work in close partnership with other researchers and research organizations, as well as policy, industry, and nonprofit stakeholders, to co-create solutions

• Present findings with clear and compelling narratives, using impactful visualizations and storytelling to articulate insights that drive understanding and action.

• Lead through influence by shaping technical direction and standards (model evaluation, responsible AI, safety/privacy, and monitoring), aligning collaborators, navigating tradeoffs, and sustaining momentum across teams and institutions.

Qualifications

Minimum/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:

• Deep foundation in AI, machine learning, statistics, or related quantitative methods applied to real-world problems.

• Experience working end-to-end with data-from sourcing and exploration through modeling, interpretation, and communication.

• Proficiency in at least one scientific programming language (Python, R or equivalent languages) and experience with SQL or similar query languages

• Excellent written and verbal communication skills, with demonstrated experience communicating complex ideas clearly and persuasively to non-technical audiences.

• Proven ability to influence outcomes and lead work in cross-functional, matrixed environments.

• Experience collaborating with academic institutions, NGOs, humanitarian organization, or public sector partners.

• Background or demonstrated interest in domains such as economics, sustainability, humanitarian response, cybersecurity, public policy, or social impact.

• Growth mindset to learn new areas and ability to adopt quickly to dynamic business conditions.

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.

Overview

Join the team that keeps Microsoft 365 running in sovereign cloud environments where reliability, scalability, and security are non-negotiable. You'll work on distributed systems at massive scale, automating operations, building disaster recovery capabilities, and engineering solutions that eliminate toil and improve service delivery. Bring your expertise in large-scale systems and help us set the standard for sovereign cloud reliability.

The M365 Sovereign Clouds organization is building the future of secure productivity for the world's most critical customers. As part of Azure Silver and Microsoft Sovereign Clouds, we deliver and operate the full Microsoft 365 suite, including Office 365, Exchange, Outlook, Teams, SharePoint, OneDrive, and Purview within highly regulated sovereign cloud environments. We are a team of innovators and problem-solvers who thrive on transforming complex challenges into reliable, high-performance services that empower sovereign cloud customers. Our culture is rooted in growth mindset, innovation, collaboration, and inclusion, and we believe that diverse perspectives drive our best work.

On the Security & Compliance team, you'll work with other engineers on the systems that protect M365 sovereign cloud customers from phishing, malware, spam, and data governance challenges. These systems process and protect millions of messages and documents daily. Our sub-teams offer exciting opportunities to work on highly complex systems that enable information protection and data governance for our customers.

The right candidate for this job (is):

• Passionate about distributed systems and working with highly scalable services.
• Enjoys new technological challenges and is motivated to solve them.
• Excited about making better software and continuously improving the development, integration, and deployment processes.
• Self-starter who thrives in a bottoms-up, fast-paced, highly technical environment.
• Effective collaborator, experienced in creating technical partnerships across teams.
• Committed to ensuring exceptional customer satisfaction through technical excellence.

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

Responsibilities

• Responds to incidents during regular on-call rotations by identifying the level of impact, troubleshooting issues, taking appropriate action to mitigate impact, and deploying appropriate fixes to resolve root cause(s). Notifies product teams and owners to major customer impacting issues and escalates resolution of highly impactful issues affecting multiple components or features to other engineers or engineering teams as needed. Communicates details and resolutions through post-mortem reports and review meetings.

• Independently writes code or scripts that automate the performance of scalable operations processes (e.g., monitoring, alerting, deploying products and updates) across components and features of products operating at scale.
• Designs, develops, and maintains telemetry pipelines and monitoring tools that detail operations metrics (e.g., availability, reliability, performance, efficiency) of product components and features operating at scale. Independently performs analyses using existing tools and/or models to identify insights and shares them with product engineering teams to directly contribute to improvements in product development and/or operations. Monitors the impact of changes on operations metrics (e.g., Time-to-X).
• Independently uses existing tools and/or models to troubleshoot problems or flaws affecting the availability, security, reliability, performance, and/or efficiency of components and features, leveraging the artificial intelligence (AI) and machine learning (ML) capabilities. Proposes solutions that will resolve and prevent recurring issues and brings them to the attention of their Site Reliability Engineering (SRE) and/or product engineering teams.
• Independently creates, tests, and deploys changes through a safe deployment process (SDP) to enhance code quality and improve the observability, security, reliability and operability of one or more platforms, systems, or products operating at scale.
• Shares insights and best practices via documented artifacts that can be applied to improve development and operations of system, platform, or product components and features by participating in code/design reviews, incident drills and debriefs, and regular meetings, as well as interactions with more experienced SREs and members of product engineering teams.
• Engages with product engineering teams by participating code/design reviews, regular meetings, on-call rotations and incident responses throughout product development and operations cycles. Utilizes technical knowledge of systems/platforms and insights drawn from product engineering teams, security best practices, artificial intelligence (AI)/machine learning (ML), and telemetry analyses to suggest potential improvements in code base and designs across components and features of one or more products.

Qualifications

Required 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
o 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
o OR equivalent experience.
• 2+ years technical experience working with large-scale cloud or distributed systems.

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 and eligible 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 pre-offer and post-hire 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.

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

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

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

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

Overview

Join the team that keeps Microsoft 365 running in sovereign cloud environments where reliability, scalability, and security are non-negotiable. You'll work on distributed systems at massive scale, automating operations, building disaster recovery capabilities, and engineering solutions that eliminate toil and improve service delivery. Bring your expertise in large-scale systems and help us set the standard for sovereign cloud reliability.

The M365 Sovereign Clouds organization is building the future of secure productivity for the world's most critical customers. As part of Azure Silver and Microsoft Sovereign Clouds, we deliver and operate the full Microsoft 365 suite, including Office 365, Exchange, Outlook, Teams, SharePoint, OneDrive, and Purview within highly regulated sovereign cloud environments. We are a team of innovators and problem-solvers who thrive on transforming complex challenges into reliable, high-performance services that empower sovereign cloud customers. Our culture is rooted in growth mindset, innovation, collaboration, and inclusion, and we believe that diverse perspectives drive our best work.

On the Security & Compliance team, you'll work with other engineers on the systems that protect M365 sovereign cloud customers from phishing, malware, spam, and data governance challenges. These systems process and protect millions of messages and documents daily. Our sub-teams offer exciting opportunities to work on highly complex systems that enable information protection and data governance for our customers.

The right candidate for this job (is):

-Passionate about distributed systems and working with highly scalable services.
-Enjoys new technological challenges and is motivated to solve them.  
-Excited about making better software and continuously improving the development, integration, and deployment processes.  
-Self-starter who thrives in a bottoms-up, fast-paced, highly technical environment.  
-Effective collaborator, experienced in creating technical partnerships across teams.
-Committed to ensuring exceptional customer satisfaction through technical excellence.

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

Responsibilities

• Responds to incidents during regular on-call rotations by identifying the level of impact, troubleshooting issues, taking appropriate action to mitigate impact, and deploying appropriate fixes to resolve root cause(s). Notifies product teams and owners to major customer impacting issues and escalates resolution of highly impactful issues affecting multiple components or features to other engineers or engineering teams as needed. Communicates details and resolutions through post-mortem reports and review meetings.

• Independently writes code or scripts that automate the performance of scalable operations processes (e.g., monitoring, alerting, deploying products and updates) across components and features of products operating at scale.
• Designs, develops, and maintains telemetry pipelines and monitoring tools that detail operations metrics (e.g., availability, reliability, performance, efficiency) of product components and features operating at scale. Independently performs analyses using existing tools and/or models to identify insights and shares them with product engineering teams to directly contribute to improvements in product development and/or operations. Monitors the impact of changes on operations metrics (e.g., Time-to-X).
• Independently uses existing tools and/or models to troubleshoot problems or flaws affecting the availability, security, reliability, performance, and/or efficiency of components and features, leveraging the artificial intelligence (AI) and machine learning (ML) capabilities. Proposes solutions that will resolve and prevent recurring issues and brings them to the attention of their Site Reliability Engineering (SRE) and/or product engineering teams.
• Independently creates, tests, and deploys changes through a safe deployment process (SDP) to enhance code quality and improve the observability, security, reliability and operability of one or more platforms, systems, or products operating at scale.
• Shares insights and best practices via documented artifacts that can be applied to improve development and operations of system, platform, or product components and features by participating in code/design reviews, incident drills and debriefs, and regular meetings, as well as interactions with more experienced SREs and members of product engineering teams.
• Engages with product engineering teams by participating code/design reviews, regular meetings, on-call rotations and incident responses throughout product development and operations cycles. Utilizes technical knowledge of systems/platforms and insights drawn from product engineering teams, security best practices, artificial intelligence (AI)/machine learning (ML), and telemetry analyses to suggest potential improvements in code base and designs across components and features of one or more products.

Qualifications

Required 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
o 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 Pythono OR equivalent experience.
• 2+ years technical experience working with large-scale cloud or distributed systems.

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 and eligible 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 pre-offer and post-hire 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.

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

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

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

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

Overview

About the Role

• We’re building AI‑first engineering systems that power growth at Microsoft — designing, shipping, and scaling code that directly shapes how millions of developers experience and adopt AI.

• As a Growth Engineer in CoreAI, you’ll sit at the intersection of product, engineering, and data, driving experimentation, learning velocity, and real business impact across world‑class developer and AI products.

• This role is about shipping fast, learning faster, and scaling what works — all while upholding Microsoft’s commitment to responsible, inclusive, and trustworthy AI.

About CoreAI

• CoreAI – Platform and Tools is Microsoft’s AI‑first engineering organization, created to build the end‑to‑end Copilot & AI stack powering products like GitHub Copilot and Visual Studio Code.

• Our mission is to empower every developer to shape the future with AI, accelerating how AI applications are built, deployed, and improved at global scale.

Why This Role Is Exciting

• This is not growth at the edges — this is growth at the core.

• Build AI‑powered growth loops on world‑class products like VS Code and GitHub

• Operate inside a high‑velocity, AI‑first engineering organization where learning speed matters

• Influence how hundreds of millions of users discover, adopt, and succeed with AI

• Drive real business impact — measured, shipped, and scaled

• Help define what responsible growth looks like in the AI organisation

Our Culture & Values

• At Microsoft, how we build matters as much as what we build.

• We are guided by our mission to empower every person and every organization on the planet to achieve more, and we show up every day with:

• A growth mindset

• Respect, integrity, and accountability

• A commitment to inclusive, responsible AI that earns trust and benefits everyone

• We believe diverse perspectives make our products — and our teams — stronger.

Impact You’ll Have

• Raise the bar for experimentation quality across CoreAI

• Help define AI growth best practices for Microsoft

• Turn learning into leverage — faster adoption, better experiences, measurable results

Responsibilities

What You’ll Do

• Own growth through engineering excellence and experimentation

• Design, ship, and iterate on growth experiments across acquisition, activation, engagement, and retention

• Build and evolve A/B testing frameworks, metrics, and tooling that raise experimentation quality and confidence

• Partner closely with Product, Data Science, Design, and Research to turn hypotheses into shipped learnings

• Use data and telemetry to guide decisions — from experiment design to rollout strategy

• Scale successful growth patterns across high‑traffic, global AI products

• Balance speed and rigor in a fast‑paced, AI‑first engineering environment

What We're Looking For

• Software engineering fundamentals with experience building, shipping, and operating production services or client applications

• Proficiency in designing scalable, reliable systems that support rapid iteration and experimentation

• Experience writing high‑quality, maintainable code and owning services end‑to‑end in a live environment

• Ability to reason about performance, reliability, and correctness in high‑traffic systems

• Experience supporting or driving experimentation (A/B testing) in production environments

• Understanding of experimentation quality, including guardrails, metrics selection, and rollout strategies

• Engineering mindset grounded in hypothesis‑driven development and learning through iteration

Qualifications

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.

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

• 2+ years shipping A/B tests end‑to‑end in production (design → instrumentation → analysis → rollout), including improving experiment quality and guardrails

• 4+ years building and shipping high‑availability features for multi‑region, globally distributed systems (resiliency, failover, capacity planning)

• Demonstrated experience leaning heavily on AI to accelerate engineering velocity, including using AI tools to prototype, implement, debug, and iterate on production features

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

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

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

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

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