What You’ll Build As part of a collaborative, platform-first engineering organization, you will build and evolve: AI-powered cloud services and platforms that support developer and enterprise workflows, owning them end-to-end—from architecture, design and implementation to deployment and live-site operations. Cloud-to-edge platform capabilities, including Azure resource providers, data-plane integrations, and portal experiences that enable secure, scalable management of modern applications and A…
Responsibilities
Experience working in Linux environments and with open-source projects. 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.
Required Qualifications
Master's degree in Computer Science, or equivalent practical experience. 3-7 years of experience building production software using one or more modern programming languages such as C#, C++, Go, Java or Python. Strong understanding of software engineering fundamentals, data structures, and problem-solving. Ability to learn new technologies quickly and adapt to deliver customer and business impact. 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.
Original Posting
This role is sourced from Microsoft. Apply on Microsoft careers page