QA Automation Performance Engineer

Performance Testing: Design, develop, and execute performance test scripts to

assess application and system performance under various load conditions.

Tool Proficiency: Proficient in using performance testing tools like JMeter,

LoadRunner, Gatling, or NeoLoad to simulate real-world traffic and analyze

performance.

Tech Stack : Experience in SpringBoot framework and building microservices is a

core expectation

Analysis & Reporting: Analyze results of performance tests and produce detailed

reports outlining performance metrics, issues, and recommendations.

Identify Bottlenecks: Collaborate with development and infrastructure teams to

identify and resolve bottlenecks in the system.

Load & Stress Testing: Conduct load, stress, and scalability testing on web, mobile,

and distributed applications.

Performance Tuning: Work on identifying, isolating, and fixing performance-related

issues through code optimization, resource tuning, or architecture changes.

Continuous Improvement: Advocate for performance best practices in the

software development lifecycle and continuously improve performance testing

strategies.

Test Automation: Develop and maintain automated performance testing scripts

and integrate them into CI/CD pipelines.

Collaboration: Work with cross-functional teams to design effective test strategies

and ensure performance criteria are met in the product lifecycle.

Requirements:

Education & Experience:

Bachelors degree in Computer Science, Engineering, or related field.

Minimum of 5 years of experience in performance testing, preferably in a fast-paced,

Agile environment.

Hands-on experience with performance testing tools (e. g. , JMeter, LoadRunner,

Gatling, NeoLoad).

Solid understanding of web technologies (HTTP, DNS, TCP/IP) and web servers

(Apache, Nginx, etc. ).

Skills:

Design, develop, and execute performance test scripts using tools such as

Apache JMeter, LoadRunner, or Gatling.

Programming/Scripting: Proficiency in scripting languages such as Java, Python,

Groovy, or Shell.

Develop and maintain automation frameworks for performance and load testing.

Database Testing: Experience testing databases and working with DB performance

optimization tools (SQL queries, indexing, etc. ).

Cloud & Distributed Systems: Familiarity with performance testing in cloud-based

environments like AWS, Azure, or GCP.

Continuous Integration (CI): Familiarity with CI/CD tools like Jenkins, GitLab CI, or

TeamCity.

Monitoring Tools: Knowledge of performance monitoring tools such as DataDog,

New Relic, AppDynamics, Grafana, or Prometheus.

Problem-Solving: Strong analytical and troubleshooting skills with the ability to

identify and resolve complex performance issues.

Communication Skills: Excellent verbal and written communication skills with the

ability to create clear and concise reports for stakeholders.

Desired Skills:

Experience with APM tools like Dynatrace, AppDynamics, New Relic, etc.

Experience with gRPC performance testing is a strong advantage in addition to

REST

Experience with virtualization and containerization technologies (e. g. , Docker,

Kubernetes)