Performance Analysis and Optimization: Conduct in-depth performance analysis of Azure Storage Services components, including Blob Storage, File Storage, Queue Storage, and Table Storage. Identify performance bottlenecks, analyze system behavior under various workloads, and collaborate with cross-functional teams to optimize system performance.
Benchmarking and Testing: Develop and execute comprehensive performance testing strategies to evaluate the scalability, reliability, and responsiveness of Azure Storage Services. Design and implement automated testing frameworks, tools, and methodologies to simulate real-world scenarios and validate system performance.
Capacity Planning and Scaling: Work closely with product management and engineering teams to forecast capacity requirements, plan for future growth, and scale Azure Storage Services infrastructure to meet evolving customer demands. Utilize predictive modeling and performance profiling techniques to anticipate resource needs and optimize resource utilization.
Performance Tuning and Profiling: Utilize profiling tools and performance monitoring techniques to diagnose performance issues, analyze system behavior, and fine-tune system parameters for optimal performance.
Troubleshooting and Root Cause Analysis: Investigate performance-related incidents, triage performance issues, and perform root cause analysis to identify underlying causes. Develop remediation strategies, implement performance optimizations, and ensure timely resolution of performance-related issues to maintain high service reliability.
Continuous Improvement: Drive a culture of continuous improvement by proactively identifying opportunities to enhance system performance, reliability, and scalability. Champion best practices for performance engineering, mentor junior team members, and contribute to the development of performance-related tools, processes, and methodologies.
Cross-Functional Collaboration: Collaborate with cross-functional teams, including software engineering, architecture, operations, and customer support, to align performance goals with business objectives. Communicate performance insights, recommendations, and progress updates to stakeholders at all levels of the organization.
Requirements :
Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
1+ years of experiences in analyzing & investigating performance bottlenecks of a large-scale distributed storage system
1+ years of experiences in cloud backend development and operation, including performance, reliability, resilience, and scale-out.