Description

Responsibilities

Performance Test Strategy & Execution

Develop and implement performance test strategies for critical applications.

Design, script, and execute various performance tests using JMeter.

Collaborate with development and architecture teams to establish performance SLAs and KPIs.

Application & Infrastructure Monitoring

Configure and analyze metrics using tools like AppDynamics, CloudWatch, Datadog, Grafana, and Splunk.

Conduct root cause analysis for performance bottlenecks.

Create dashboards for real-time visibility and production stability.

Cloud & Platform Engineering

Work with AWS services to test elasticity, scaling, and failover scenarios.

Provide recommendations on autoscaling policies and capacity planning.

CI/CD & Automation

Integrate performance tests into CI/CD pipelines.

Automate test execution and performance regression checks.

Collaboration & Project Delivery

Collaborate with product owners, developers, and other stakeholders.

Manage work items through JIRA and present findings to stakeholders.

Tools & Technologies

Utilize JMeter, AppDynamics, AWS CloudWatch, Datadog, Grafana, Splunk, AWS ECS, EKS, EC2, Lambda, DynamoDB, AuroraDB, RDS, GitHub, Jenkins/GitHub Actions, JIRA, and qTest.

Coding & Scripting

Customize scripts using Groovy, Beanshell, and Java.

Develop automation scripts and performance frameworks using Python and Java.

AI Solutions

Innovate through AI solutions to optimize costs and enhance the performance engineering lifecycle.

Education Qualification

A degree in a relevant field is required.

Required Skills

Proficiency in JMeter, AWS Cloud, and application performance monitoring tools.

10+ years of experience in performance engineering and related technologies.

Strong scripting skills in Groovy, Beanshell, Java, and Python.

Experience with CI/CD tools and agile delivery tracking.

Familiarity with AI solutions and microservices is a plus.

Industry experience in technology is essential

Key Skills

Education

Bachelor's degree