Equifax - Senior Quality Assurance Engineer

About the job :

You are passionate about quality and how customers experience the products you test.

You have the ability to create, maintain and execute test plans in order to verify requirements.

As a Quality Engineer at Equifax, you will be a catalyst in both the development and the testing of high priority initiatives.

You will develop and test new products to support technology operations while maintaining exemplary standards.

As a collaborative member of the team, you will deliver QA services (code quality, testing services, performance engineering, development collaboration and continuous integration).

You will conduct quality control tests in order to ensure full compliance with specified standards and end user requirements.

You will execute tests using established plans and scripts; documents problems in an issues log and retest to ensure problems are resolved.

You will create test files to thoroughly test program logic and verify system flow.

You will identify, recommend and implement changes to enhance effectiveness of QA strategies.

Performance Engineer + Functional Tester

What You Will Do :

Performance Test Strategy & Scenario Preparation :

- Collaborate with product, development, and QA teams to define performance test requirements and objectives.

- Translate business and technical requirements into comprehensive performance test plans and scenarios, including load, stress, and endurance tests.

- Design and develop realistic workload models to simulate user behavior.

Scripting & Execution :

- Develop, maintain, and execute performance test scripts using Apache JMeter.

- Utilize scripting languages (e.g., Groovy, Python, or shell scripting) to enhance and automate test scripts, and to integrate tests with other tools.

- Execute tests in various environments, including cloud-based platforms, and manage test data effectively.

CI/CD Integration :

- Integrate performance tests into the CI/CD pipeline using tools like Jenkins, GitLab CI, or similar platforms.

- Configure automated performance checks to run on a continuous basis, providing fast feedback to the development team.

Monitoring & Analysis :

- Monitor system performance during test execution using APM tools, with a preference for Datadog.

- Analyze performance test results to identify key metrics such as response time, throughput, and error rates.

- Perform in-depth bottleneck analysis by correlating test results with application logs, infrastructure metrics (CPU, memory, disk I/O), and network data.

Reporting & Communication :

- Prepare detailed and actionable performance test reports, summarizing findings, identifying root causes, and providing recommendations for improvement.

- Clearly communicate performance issues and risks to stakeholders, including technical and non-technical audiences.

- Work closely with development and DevOps teams to validate fixes and ensure performance goals are met.

Functional Testing :

- Ability to work on test plans, test cases and the release testing of the application.

- Ability to write API automation tests using Rest Assured and UI automation tests using -Playwright or Selenium.

- Programming experience with Java and Java script.

What Experience You Need :

- 5 - 8 years of experience in performance testing, with a proven track record of delivering successful projects.

- 2 - 3 years of experience using Rest Assured, Selenium, Playwright automation tools.

- 2-3 Years of experience using Java, Javascript.

- Hands-on experience with Apache JMeter is a must, including advanced scripting techniques.

- Experience with a performance monitoring tool like Datadog, New Relic, or Dynatrace.

- Demonstrated experience working in a CI/CD or DevOps environment.

Technical Skills :

- Proficiency in performance testing methodologies and best practices (load, stress, spike, endurance).

- Strong knowledge of scripting languages (e.g., Groovy, Python).

- Solid understanding of web protocols (HTTP/HTTPS), REST/SOAP APIs, and web application architecture.

- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).

- Excellent analytical and problem-solving skills to conduct root cause analysis and identify performance bottlenecks.