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Engaged Employer

Kensium Solutions

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3.5

based on 76 Reviews

6 Kensium Solutions Jobs

Performance Test Lead

Kensium

3.5

based on 76 Reviews

2-7 years

Hyderabad / Secunderabad

1 vacancy

Performance Test Lead

Kensium Solutions

posted 1mon ago

Job Role Insights

Flexible timing

Key skills for the job

Computer Science Python Front End Performance Testing Testing Tools Performance Tuning

Job Description

Work Experience :

5+ Years

Location:

Hyderabad, India

Job Type :

Full Time

No. of Opening:

Posted On :

January 27, 2025

Skills :

Performance testing, JMeter, Gatling, Locust, LoadRunner, JVM, performance tuning

Job Description:

As a Performance Test Lead , you will be responsible for overseeing the performance testing efforts for our cloud-native Java applications, and designing, executing, and managing performance tests to ensure the scalability, reliability, and optimal performance of applications built in a cloud environment. You will collaborate with cross-functional teams to identify performance bottlenecks and drive optimizations for cloud-native Java applications.

Key Responsibilities:

Lead Performance Testing Strategy:
- Develop and lead the performance testing strategy for cloud-native Java applications running on AWS cloud. Create detailed performance test plans, roadmaps, and timelines for testing cloud-native applications across various environments.

Cloud-Native Performance Testing Execution:
- Design, implement, and execute performance tests such as load, stress, scalability, and endurance tests for cloud-native Java applications and services.
- Conduct performance testing for microservices, containerized applications (Docker, Kubernetes), serverless functions, and distributed systems.
Performance Monitoring, Analysis, and Optimization:
- Use monitoring and APM tools (e.g., AWS CloudWatch, New Relic, Dynatrace, Prometheus) to collect performance data during tests and monitor the behavior of cloud-native applications.
- Analyze test results to identify bottlenecks and performance issues in cloud applications and underlying infrastructure.
- Collaborate with development teams to recommend and implement performance optimizations, including JVM tuning, application refactoring, and cloud resource adjustments.
Automation and Continuous Integration:
- Automate performance test execution and integrate performance tests into the CI/CD pipeline (Jenkins, GitLab CI, etc.) to ensure ongoing performance monitoring.
- Develop reusable performance test scripts and frameworks to support efficient regression and continuous testing of cloud-native Java applications.
- Implement automated testing for both front-end (e.g., web applications) and back-end services (e.g., microservices, databases).
Reporting and Documentation:
- Provide clear, actionable reports and dashboards for stakeholders, detailing test results, system behaviour, and recommendations.
- Document performance testing methodologies, best practices, and lessons learned for the team.

Qualifications:

Education: Bachelor s degree in Computer Science, Engineering, or a related field (or equivalent experience).
Experience:
- 5-7+ years of experience in performance testing, with at least 2-3 years in a leadership role.
- Proven experience in performance testing cloud-native applications, microservices, containerized applications (Docker, Kubernetes), and serverless architectures.
- Strong understanding of Java development, Spring Boot, and Java-based microservices. Experience with JVM performance tuning is a plus.
- Proficient in performance testing tools like JMeter, Gatling, Locust, LoadRunner, or similar tools, and the ability to create performance test scripts.
- Hands-on experience with AWS cloud and tools for performance monitoring (AWS CloudWatch, Prometheus, Grafana, New Relic).
- Experience with CI/CD pipelines and integrating performance tests into continuous integration and delivery (e.g., Jenkins, GitLab CI, CircleCI).
- Understanding of the performance characteristics of distributed systems, including messaging queues, databases, and APIs in cloud-native environments.
- Strong analytical skills to troubleshoot and resolve performance bottlenecks at various levels (application, infrastructure, cloud resources).
- Experience with test automation frameworks and scripting in Java, Python, or similar languages.
- Strong leadership skills with the ability to communicate effectively with cross-functional teams.
Soft Skills:
- Strong problem-solving and analytical skills.
- Excellent communication and leadership abilities.
- Ability to influence and guide teams towards best practices.