Technical QA Engineer, Performance (1725)

Posted 6 Hours Ago
Be an Early Applicant
New York, NY
Senior level
Artificial Intelligence • Big Data • Cloud • Software • Business Intelligence
Together, we’re making data meaningful.
The Role
The Technical QA Engineer will lead the improvement of testing practices, identify performance risks, design and execute test cases, develop automation tools, perform capacity planning, analyze performance issues, and coach team members on testing techniques.
Summary Generated by Built In

EMPLOYER: Collibra Inc.

TITLE: Technical QA Engineer, Performance

LOCATION: New York, NY (option to work remotely from any location in the U.S.)

DUTIES: Lead/participate in the constant improvement of our testing practices, i.e. exploratory testing, test charters, session-based test management. Identify areas of performance risk for software and architecture changes in web-based enterprise application. Design and run test cases that efficiently mitigate that risk. Participate in design meetings with Business Analysts, UX designers, Support and Developers and share perspectives on ensuring testability. Create and define new scripts or ad-hoc tools and processes to properly test and analyze performance as needed. Develop and debug code to identify and fix performance issues. Produce and maintain product coverage reports for test coverage. Perform capacity planning and projection planning for large customers, focusing on I/O and RAM capacity analysis. Design and build efficient processes and automation to run tests for every nightly build. Analyze test results, identify performance issues, and dig deeper to understand and document the root cause for performance bottlenecks and issues. Coach developers and other testers on good testing practices and techniques. EOE

REQTS: Must have a Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, Electronic Engineering, or a related field plus eight (8) years of progressively responsible experience analyzing, troubleshooting, and automating performance workloads on large-scale systems in the position offered, as a Software Engineer, or a related position. Must include five (5) years of experience with all of the following: Utilizing performance load testing tools including Neoload, LoadRunner, and JMeter to design, test, and analyze performance; Creating automated performance tests in Jenkins using Python and Groovy to run nightly on AWS and GCP cloud- hosted environments and sending results data to Kibana; Creating reports of nightly performance tests using data available in Kibana and displaying results using Grafana dashboard; Utilizing performance analysis tools including Datadog, SentryOne, and JProfiler to investigate, troubleshoot, and identify performance bottlenecks and issues; Testing, analyzing, and troubleshooting performance of enterprise-scale HTML/J2EE web-based application with a database backend, including Postgress, MSSQL, MySQL, and Oracle; Working in Agile/Scrum models.

SALARY: $195,700 - $210,000 per year
HOURS: 40 hours per week, Monday-Friday
*The position is eligible for employee referral reward.

#LI-DNI

Top Skills

Groovy
Python
The Company
HQ: New York, NY
1,200 Employees
Hybrid Workplace
Year Founded: 2008

What We Do

Collibra is the Data Intelligence company. Put simply, data intelligence is the ability to understand and use your data in the right way. Our Java-based SaaS platform combines security and accessibility to deliver quality data our users can trust, helping them to get more out of their world and accelerate innovation.

Collibrians are on a mission to empower our customers to make meaning from their data so they can change the world. In pursuit of our mission, we celebrate inventiveness, reward ambition, and work together — united as #OneCollibra.

Why Work With Us

We're shaping the future of data by empowering everyday data-users, or as we call them, Data Citizens. This human-centric approach is reflected in our day-to-day, too. We offer flexibility, honor authenticity, and reward initiative as we work together to make data meaningful for every Data Citizen.

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