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Principal Software Engineer - Azure Storage at Microsoft

, , United States -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Storage, Distributed Systems, C#, Java, Cloud-Native Architectures, System Performance, Scalability, Fault Tolerance, AI-Scale Workloads, Software Development, Technical Engineering, Design, Implementation, Bottlenecks, Stakeholder Engagement, Technical Decisions

Industry

Software Development

Description

Partner with stakeholders to determine requirements for scalable, reliable, and high-performance storage solutions. Lead the design and implementation of enhancements to optimize the storage control plane for AI-scale workloads. Identify and address bottlenecks in system performance and scalability while driving improvements across the platform. Act as a Designated Responsible Individual (DRI) to ensure system availability, performance, and fault tolerance, including participation in on-call rotations. Leverage subject matter expertise in Azure Storage and distributed systems to influence technical decisions and product roadmaps. 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# or Java 5+ years of hands-on experience with Storage products and cloud-native architectures. 5+ years of experience in software development with a focus on large distributed systems. 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# or Java OR Master'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# or Java OR equivalent experience.

Responsibilities

Partner with stakeholders to determine requirements for scalable and reliable storage solutions. Lead the design and implementation of enhancements to optimize the storage control plane for AI-scale workloads.