Microsoft Software Performance Engineer 

India, Telangana, Hyderabad 

12033849

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR equivalent experience.
• 2+ years of experience
  • analyzing & investigating performance bottlenecks of a large-scale distributed storage system,
  • AND in cloud backend development and operation, including performance, reliability, resilience, and scale-out.

Other Qualifications:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• 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++, C#, Java, JavaScript, or Python
  • OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Experience
  • with Debugging, Profiling and Performance Analysis Tools for serial and parallel applications,
  • AND in designing and conducting performance evaluation of scalable services.
• Familiarity with performance modeling and projection for future cloud system designs.

• Performance Analysis and Optimization: By developing new tools or by leveraging the existing tools, 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. Collaborate with software engineers to implement performance enhancements and refactor code for improved efficiency.
• 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.