Note: The job is a remote job and is open to candidates in USA. Microsoft is a technology company seeking a Senior Software Engineer to help build and operate secure, globally accessible data-plane and backend capabilities for Azure Blob Storage. The role focuses on designing cloud-scale security features and services, collaborating with stakeholders, and improving availability, observability, scalability, performance, and operational excellence for enterprise and AI workloads.
Responsibilities
- Take full end-to-end ownership of security features that enable efficient, highly secure access patterns to Azure Storage
- Leverage AI-assisted engineering tools to improve productivity, code quality, troubleshooting effectiveness, test coverage, and operational efficiency
- Collaborate with engineers, product managers, and external and internal stakeholders to define and deliver new functionality
- Lead the design, implementation, testing, and deployment of cloud-scale services
- Act as a Designated Responsible Individual (DRI) and contribute to operational excellence and service health
- Continuously improve service availability, observability, scalability, and performance
Skills
- 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++, or C# + OR equivalent experience
- 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++, or C# + 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++, or C# + OR equivalent experience
- Experience with cloud storage systems, object storage, distributed file systems, or high-scale data plane services
- Experience with authentication, authorization, identity systems, RBAC (role-based access control), ABAC (attribute-based access control), token-based authentication, network security, encryption, or policy enforcement
- Experience with performance-sensitive backend services, including low-latency request paths, caching, concurrency, scale-out architectures, and high-throughput systems
- Experience building highly available services with strong observability, diagnostics, automated mitigation, deployment safety, and operational excellence
- Experience using AI-assisted engineering tools to improve development velocity, code quality, debugging, testing, and service operations
Benefits
- Certain roles may be eligible for benefits and other compensation.
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