Performance Engineer at AP

Introduction:

As a Performance Engineer at AP, you will play a crucial role in optimizing the performance of our applications and ensuring a seamless user experience. You will work closely with cross-functional teams to monitor, analyze, and improve the performance of our systems, utilizing a variety of monitoring tools and technologies.

Responsibilities:

12+ Years of experience in to Persormance Engineering Experience required 

• Utilize Real User Monitoring (RUM) and Application Performance Monitoring (APM) tools such as AppDynamics, New Relic, and Datadog to monitor and analyze application performance.
• Work with cloud platforms like AWS and Azure, leveraging services such as ECS, EKS, Lambda, DynamoDB, CloudWatch, API Gateway, and Application Load Balancer (ALB) to optimize system performance.
• Optimize SQL and NoSQL databases, focusing on query tuning, data access optimization, and distributed caching mechanisms.
• Implement Core Web Vitals best practices, browser performance optimization techniques, web rendering pipelines, and CDN performance tuning strategies.
• Conduct frontend performance analysis using tools like Lighthouse and Chrome DevTools to identify and address performance bottlenecks.
• Create performance test scripts and automation using tools such as JMeter, K6, and Gatling to ensure system performance under various conditions.
• Develop dashboards for monitoring and observability using AppDynamics, Quantum Metric, ELK Stack, Grafana, and other related monitoring platforms.
• Apply performance engineering principles to optimize distributed, cloud-native, and microservices-based applications.

Requirements:

Required Skills:

• Strong expertise in Real User Monitoring (RUM) and Application Performance Monitoring (APM) tools, including AppDynamics, New Relic, and Datadog.
• Hands-on experience with cloud platforms such as AWS and Azure, including services like ECS, EKS, Lambda, DynamoDB, CloudWatch, API Gateway, and Application Load Balancer (ALB).
• In-depth understanding of SQL and NoSQL databases, query tuning, data access optimization, and distributed caching mechanisms.
• Solid knowledge of Core Web Vitals, browser performance optimization, web rendering pipelines, and CDN performance tuning.
• Experience with frontend performance analysis using tools such as Lighthouse and Chrome DevTools.
• Proficiency in performance test scripting and automation using JMeter, K6, and Gatling.
• Strong dashboard creation, monitoring, and observability skills using AppDynamics, Quantum Metric, ELK Stack, Grafana, and related monitoring platforms.
• Experience in performance engineering for distributed, cloud-native, and microservices-based applications.