Senior QA Engineer - Performance Analytics & Data Integrity

Ridgeline, Inc.

New York (NY)

On-site

USD 113,500 - 141,500

Full time

14 days+
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Benefits offered by this job

Unlimited vacation
Educational reimbursements
$0 cost employee insurance plans

Job summary

Ridgeline, Inc. is seeking a Senior Quality Engineer to validate and evolve our performance and analytics platform. You will validate complex workflows and partner closely with product managers and engineers to ensure high-quality client experiences.

The role requires 5+ years of experience in Quality Engineering, with a strong understanding of performance analytics methodologies. Our ideal candidate will thrive in a culture of collaboration and innovation, ensuring accuracy and reliability in sophisticated investment management workflows.

Qualifications

  • 5+ years in Quality Engineering or Software Testing validating complex SaaS applications.
  • Deep understanding of performance analytics methodologies.
  • Experience with automated testing frameworks.

Responsibilities

  • Validate complex performance and analytics workflows across portfolio performance.
  • Partner with product managers, engineers, and domain experts to ensure high-quality client experiences.
  • Involved in the software development lifecycle, from design reviews through production validation.

Skills

Quality Engineering
Software Testing
Performance Analytics
SaaS Applications
GitHub Copilot
Problem Solving

Tools

APIs
SQL
OLAP
AWS
Azure
Google Cloud

Job description

Ridgeline, Inc. is seeking a Senior Quality Engineer to validate and evolve our performance and analytics platform. You will validate complex workflows and partner closely with product managers and engineers to ensure high-quality client experiences.

The role requires 5+ years of experience in Quality Engineering, with a strong understanding of performance analytics methodologies. Our ideal candidate will thrive in a culture of collaboration and innovation, ensuring accuracy and reliability in sophisticated investment management workflows.

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