Performance Engineer

Title: Performance Engineer Location: Atlanta, GA Onsite Duration: 6 Months of Contract Role Summary: We are seeking an experienced Performance Engineer to improve overall application responsiveness and reduce turnaround time across large-scale systems. The role requires deep expertise in performance analysis, monitoring, automation, and root cause analysis to identify and resolve complex performance bottlenecks. Key Objectives: Improve application responsiveness and reduce turnaround times Conduct deep root cause analysis of performance issues Proactively identify, analyze, and resolve system and application bottlenecks Core Competencies Performance Engineering: Proven experience in application performance analysis, tuning, and optimization Strong understanding of performance testing strategies, capacity planning, and scalability Application Performance Monitoring (APM): Dynatrace: Extensive hands-on experience with Dynatrace for APM, log analytics, and infrastructure monitoring Ability to build custom dashboards, configure alerts, and leverage advanced features to identify performance issues Quantum Metrics: Experience analyzing user behavior, performance trends, and real-time user experience issues Root Cause Analysis (RCA): Strong ability to go beyond surface-level issues and identify underlying causes of performance degradation Experience with RCA techniques such as 5 Whys and Fishbone (Ishikawa) diagrams is a plus Analytical & Troubleshooting Skills: Excellent problem-solving abilities to diagnose complex performance and code-level bottlenecks Programming & Scripting: Proficiency in Python for automation, performance testing, monitoring, and data analysis Exposure to other languages such as Java is beneficial Performance Metrics & Optimization: Deep understanding of KPIs such as throughput, latency, response time, and memory usage Experience analyzing system-level metrics including CPU, memory, disk, and network Knowledge of JVM performance tuning is a plus Improve Application Performance: Drive initiatives to reduce application turnaround and response times through detailed analysis, optimization, and automation. Collaborate & Consult: Partner with development, product, and architecture teams to define performance baselines, establish performance parameters, and recommend best practices. Analyze & Troubleshoot: Lead deep-dive investigations into performance bottlenecks using tools such as Dynatrace, Quantum Metrics, and other monitoring solutions. Automate & Monitor: Design, develop, and maintain automated performance testing and monitoring solutions to detect performance regressions early in the SDLC. Communicate Findings: Present performance analysis results, insights, and actionable recommendations clearly to both technical and non-technical stakeholders.

Created: 2026-03-04