QA Performance Engineer - Dallas, TX at Photon
Dallas, Texas, USA -
Full Time


Start Date

Immediate

Expiry Date

16 Nov, 25

Salary

38000.0

Posted On

16 Aug, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Aws, Java, Architecture, Throughput, Azure, Python, New Relic, Scripting Languages, Metrics, Bash, Docker, Qa Engineering, Performance Testing, Performance Testing Tools, Microservices, Query Optimization, Performance Tuning

Industry

Information Technology/IT

Description

JOB SUMMARY:

We’re seeking a detail-oriented and technically skilled QA Performance Engineer to join our quality assurance team. You’ll be responsible for designing and executing performance tests to ensure our applications meet high standards of speed, scalability, and reliability. Your work will directly impact user experience and system stability across our platforms.

REQUIRED SKILLS & QUALIFICATIONS

10+ years of experience in performance testing or QA engineering.
Strong understanding of performance testing methodologies and metrics (latency, throughput, etc.).
Hands-on experience with performance testing tools (e.g., JMeter, LoadRunner, BlazeMeter).
Proficiency in scripting languages (Python, Java, Bash, etc.).
Familiarity with monitoring tools (e.g., Grafana, Prometheus, New Relic).
Experience with cloud platforms (AWS, Azure, GCP) is a plus.
Excellent analytical and problem-solving skills.
Strong communication and documentation abilities.
Preferred Qualifications
Experience with microservices architecture and containerized environments (Docker, Kubernetes).
Knowledge of database performance tuning and query optimization.
Exposure to Agile/Scrum methodologies.

Responsibilities

Collaborate with development and QA teams to define performance benchmarks and testing strategies.
Design, develop, and execute performance, load, stress, and scalability tests.
Analyze test results to identify bottlenecks and recommend optimizations.
Monitor system performance in production and pre-production environments.
Create detailed performance test plans and documentation.
Use tools like JMeter , LoadRunner , Gatling , or Apache Benchmark to simulate user load.
Work closely with DevOps to integrate performance testing into CI/CD pipelines.
Provide actionable insights to developers and stakeholders based on test outcomes.

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