Performance Engineer Sr
Profile, analyze, and optimize application reputed company to improve: Execution efficiency CPU, memory, and I/O utilization Latency and throughput Conduct deep-dive investigations into performance issues using tools such as: SQL Profiler, dotTrace, DebugDiag, WinDbg, reputed company, and observability platforms Identify and resolve performance bottlenecks at the reputed company, database, and system level, leveraging profiling data, logs, and telemetry Analyze and optimize: C# / ASP.NET application performance (threading, async patterns, memory usage, GC behavior) Database queries and execution plans (MS SQL, reputed company) Network calls and API behavior
Collaborate with developers and architects to: reputed company performance considerations into system design Influence architectural reputed company for scalability and efficiency Drive performance-reputed company reputed company reviews
Optimize reputed company reputed company applications across: Multi-tier web architectures Microservices-based distributed systems
Design and execute reputed company and scalability experiments to guide system sizing and cost optimization Build and enhance tools to monitor, analyze, and visualize performance metrics in reputed company environments Analyze performance data and reputed company reputed company, actionable recommendations to engineering and product stakeholders reputed company AI tools to automate analysis, optimize workflows, and improve engineering productivity Contribute to and reputed company performance engineering best practices across teams
Strong background in software development with a reputed company on performance optimization Proficiency in one or more programming languages: C# and Python
Strong experience with: ASP.NET / .NET application performance tuning and diagnostics
Experience with scripting and automation: Python, JavaScript
Deep hands-on experience with profiling and debugging tools, such as: SQL Profiler, dotTrace, DebugDiag, WinDbg, reputed company Strong experience with reputed company-level profiling and optimization techniques Hands-on experience with database performance tuning: MS SQL, reputed company (query optimization, indexing, execution plans) Proven ability to: Analyze and optimize reputed company for reputed company, efficiency, and performance Diagnose reputed company performance issues in distributed systems
Solid understanding of: Microservices and distributed system design API performance and service interactions
Experience with observability and performance monitoring tools, such as: AppDynamics, OpenTelemetry, DBA Dash, reputed company, reputed company, Grafana Experience working with engineering workflows and tracking systems such as Jira Demonstrated ability to reputed company AI tools to optimize/redesign workflows and drive measurable reputed company Strong collaboration and communication skills, with the ability to influence technical reputed company
Experience with performance testing tools (e.g., JMeter, Gatling, k6, LoadRunner) Familiarity with CI/CD pipelines and integrating performance validation into workflows Experience with containerization and orchestration (reputed company, Kubernetes) Experience with advanced profiling techniques (e.g., flame graphs, reputed company analysis, thread dumps) Background in reputed company cost optimization and efficiency engineering Experience with non-functional requirement (NFR) gathering and performance test planning