Performance Engineer (Frontend Focus)Philadelphia, PAExperience: 12 Years

Proventus Metrics

Philadelphia, PA, United States

11 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Amazon Web Services Microsoft Azure Cloud Computing Cloud Engineering Profiling Databases Amazon DynamoDB Java Virtual Machine (JVM) Apache JMeter NoSQL Performance Tuning Query Optimization

+18 more

Distributed Caching Standard Sql Web Usability Datadog Enterprise Software Applications Performance Testing Grafana Gatling Caching Backend Front End Software Development Functional Programming Cloudwatch Api Gateway New Relic (SaaS) Appdynamics Dynatrace Microservices

Job description

Conduct end-to-end performance analysis across applications, databases, infrastructure, and cloud platforms to identify gaps and optimization opportunities.
Diagnose and resolve bottlenecks using leading APM and profiling tools (AppDynamics, Dynatrace, Datadog, JFR, YourKit).
Optimize system performance through JVM tuning, analysis, thread management, query optimization, caching strategies, and microservices enhancements.
Design and execute performance testing strategies (load, stress, soak, endurance, scalability) using JMeter, Gatling, and K6.
Analyze performance metrics and deliver actionable recommendations to improve reliability, scalability, and user experience.

Requirements

We are seeking a seasoned Performance Engineer with extensive experience in performance analysis, optimization, and observability across enterprise applications. The ideal candidate will bring strong technical expertise in diagnosing bottlenecks, tuning systems, and driving frontend and backend performance improvements in cloud-native environments., * Strong expertise in RUM and APM tools (AppDynamics preferred, New Relic, Datadog).

Hands-on experience with AWS and Azure services (ECS, EKS, Lambda, DynamoDB, CloudWatch, API Gateway, ALB).
Deep knowledge of SQL/NoSQL databases, query tuning, and distributed caching.
Solid understanding of Core Web Vitals, browser performance optimization, rendering pipelines, and CDN tuning.
Frontend performance analysis using Lighthouse and Chrome DevTools.
Proficiency in performance scripting and automation (JMeter, K6, Gatling).
Strong dashboarding and observability skills with AppDynamics, Quantum Metric, ELK, Grafana.
Proven experience in performance engineering for distributed, cloud-native, and microservices-based applications.