Principal Software Engineer

Overview
Do you want to build AI-powered developer services that enable a billion builders to bring their ideas to life every day? Are you excited to build planet-scale platforms with enterprise trust, security, and reliability baked in from design to delivery? If so, this role in Microsoft’s CoreAI PaaS & Serverless team is for you.
As a Software Engineer in our team, you will design, build, and operate core compute platform services for developers where they can host and run any app at cloud scale and enterprise promise. Whether it is an AI Agent App, a Cloud Native App, a traditional Linux Web App, an Event Driven App, or a Workflow App, our services cater to every need. We are the core product team which builds and operates Azure Container Apps, App Service, Functions, API Management, Logic Apps, and Azure SRE Agent. We work in all layers and part of computing stack, e.g. Networking, Operating systems, Containers, Proxies, Gateways, Storage, VMs etc.
We are looking for creative, driven, deep technical, distributed systems engineers with passion for solving hard technical and business problems using AI as a core building block. As Principal Engineer in our team, you will provide end-to-end technical leadership and help the team with technology tradeoffs, long-term architecture design and suggest methods to enhance product for greater scale. You will be hands-on with component design and coding, AI Fluent, and mentor others around you on best engineering & site reliability practices. You will lead others by exemplifying technical excellence, inclusiveness, cross geo collaboration, teamwork, and customer focus. You will handle livesite to make customers successful and support team in addressing issues comprehensively.
If the above sounds challenging and exciting, we’d love to talk to you.
Responsibilities
Responsibilities:
Design, implement, test, instrument, document and run PaaS Services in Azure.
Partner with product management, OSS community, ISV partners, customers, and other stakeholders to define requirements, scope projects and ship products in rapid, iterative cycles
Stay up to date on industry trends around AI Advancements, Cloud Native technologies, open source development and dev ops processes, leading efforts on innovation, modern design, and reliability engineering.
Champion engineering practices of safe and fast paced releases – e.g. flight code changes and drive telemetry and analytics to take a data-driven approach to understanding customer impact
Support and influence team culture of customer obsession, continuous improvement, reflection, and growth - mentor, initiate and participate in in design and code sharing
Be avid customer advocate – meet with customers, and product support to learn about their experience, analyze how features are performing in production and make the product better
Build for security, privacy, scalability, reliability, and compliance
Qualifications
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, or equivalent practical experience
10+ years of industry experience building and shipping software using modern programming languages such as C#, C++, Java, Go or Python
Track record of successfully leading end-to-end engineering projects from conception to delivery across multiple ship cycles
Excellent technical design, problem solving and debugging skills
Ability to learn new technologies quickly and adapt to deliver customer and business impact.
Customer obsession and passion for shipping high quality products
Track record of collaborating effectively with multiple cross-functional teams across geographies
Preferred Qualifications:
Experience building and shipping a large-scale cloud service is a big plus
Experience working in Linux environments and with open-source projects.
Familiarity with containers and orchestration technologies such as Docker and Kubernetes.
Experience with cloud infrastructure (Azure, AWS, or equivalent).
Exposure to site reliability engineering (SRE) practices.
Exposure to AI-assisted development and data-driven engineering workflows.
Knowledge of Azure resource providers, platform extensibility, and security, compliance, or responsible AI concepts.
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.