Define technical direction for hyperscale Azure Storage components; architect, develop, test, and support highly scalable, secure, compliant, and highly available cloud services. Lead multiple engineering projects, improve reliability, scalability, performance, consistency, and observability, and apply AIOps for incident detection, root-cause analysis, and operational excellence.
Overview
Responsibilities
Qualifications
The Azure Storage team powers some of the world's largest and most sophisticated cloud storage systems, operating at a scale that spans exabytes today and is rapidly advancing toward zettabyte and yottabyte-scale demands. We are at the forefront of storage innovation, developing advanced hardware offloads, performance accelerations, distributed storage architectures, and next-generation networking technologies that enable Microsoft's cloud platform to deliver industry-leading performance, reliability, and efficiency. Our engineering teams work across block storage, object storage, file systems, hardware acceleration, transport performance, and large-scale systems integration to build the foundation that powers Azure services around the globe.
As a Principal Software Engineer on Azure Storage, you will help define the technical direction for some of the most complex and business-critical components of Azure Storage. You will drive architectural decisions, lead the development of breakthrough capabilities, and deliver continuous improvements that enhance reliability, scalability, performance, consistency, and debuggability at hyperscale. This role offers the opportunity to work with the latest server technologies and highly distributed systems while partnering across teams to solve challenging engineering problems that directly influence the future of cloud storage. Your technical leadership will help shape services that support billions of transactions and massive amounts of customer data worldwide.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. We foster a culture built on growth mindset, innovation, collaboration, and inclusion, where employees are encouraged to learn, take on new challenges, and make an impact. Guided by our values of respect, integrity, and accountability, we strive to create an environment where everyone can do their best work and thrive both professionally and personally.
Responsibilities
- Design, develop, test and support features, experiences and solutions for highly scalable services
- Develop high quality secure and compliant solutions
- Support highly available services used by millions of users on a daily basis
- Provide technical leadership across multiple projects, aligning engineering priorities with business objectives and driving measurable impact through innovation and execution excellence
- Infuse AIOps practices to drive productivity, operational excellence, observability, incident detection, accurate root-cause analysis and mitigation
Qualifications
Required 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 equivalent experience
Other Requirements:
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
Preferred Qualifications:
- Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience
- 7+ years of experience designing, building and running large scale and highly available Cloud services or distributed systems.
#azurecorejobs
Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $165,600 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Microsoft Cambridge, Massachusetts, USA Office
255 Main Street, Cambridge, MA 02142, Cambridge, United States, 02142
Similar Jobs
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Lead architecture and technical execution for Toast’s Payroll and Team Management products. Own authentication, authorization, and organizational hierarchy across a multi-tenant SaaS platform. Drive high-scale, full-stack initiatives, modern agentic development practices, integrations, technical strategy, quality standards, deployment practices, and cross-functional collaboration. Mentor engineers across teams and leverage AI tools and LLM integration to improve software development velocity and quality.
Top Skills:
Api DesignArtificial IntelligenceData AnalyticsJavaKotlinLlm IntegrationMicroservicesMobileReactSaaS
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
Design, develop, and deploy AI-native software products that transform large-scale geospatial data into actionable intelligence. Build multi-agent workflows using orchestration frameworks and large language models, engineer tool-using and self-refining agents, develop data ingestion pipelines, and operate secure, scalable AI systems in production. Apply DevOps, reinforcement feedback mechanisms, and AI-assisted development practices while contributing to engineering standards and documentation.
Top Skills:
AWSCi/CdClaudeClaude CodeCodexDistributed SystemsDockerEmbeddingsGeminiGemini CliGoogle AdkGoogle Cloud PlatformGpt-4JavaScriptKubernetesLangchainLanggraphPythonRetrieval-Augmented GenerationVector Databases
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads governance, architecture, and engineering execution for enterprise identity resolution, profile management, and consumer engagement platforms. Designs scalable microservices and AI/ML integrations including personalization, RAG, and conversational assistants. Establishes responsible AI, SDLC, CI/CD, observability, security, and incident-management standards. Oversees production readiness, privacy-safe customer experiences, operational health, and executive communication while mentoring engineers.
Top Skills:
A/B TestingAi/MlAnalytics InstrumentationAPIsCi/CdCloud-Native ArchitectureConversational AiCustomer Data Platforms (Cdps)Data PipelinesDistributed MicroservicesFeature FlagsModel Inference ServicesObservabilityPersonalization EnginesPersonalization PipelinesSemantic Search/Rag
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
