Sr. Software Engineer in Test at NinjaTrader driving quality assurance for the web trading platform. Collaborate closely with teams to define testing strategies and maintain automation standards.
Responsibilities
Own quality end-to-end for an assigned product squad: from test strategy through release confidence
Partner with developers and product managers at the design stage to define acceptance criteria and build testability into features from the start
Design, develop, and maintain Playwright-based automated tests following Page Object Model (POM) patterns and the team's established automation architecture
Write and maintain automation in TypeScript/JavaScript, contributing to shared frameworks and raising coverage standards across the team
Collaborate with engineers on system design, API contracts, and application architecture to ensure observable, testable behavior
Own your squad's test reliability — identify, analyze, and eliminate flakiness with the same urgency as a production bug
Integrate tests into CI/CD pipelines using tagging strategies (e.g., smoke, regression) so every deployment ships with clear quality gates
Apply AI-assisted development tools — code generation, test generation, failure analysis — to improve coverage and productivity
Perform manual and exploratory testing where it adds signal that automation cannot, and convert findings into durable automated coverage
Contribute to junior QA team members' growth through code reviews, pairing, and direct feedback
Uphold NinjaTrader SDLC and information security standards
Requirements
7+ years of experience in QA engineering and test automation
Strong hands-on experience with Playwright
Solid experience writing automation in TypeScript or JavaScript
Experience building and maintaining tests using Page Object Model or modular test architecture
Demonstrated experience working with engineers on testability-by-design — shaping application architecture and API design to support reliable automation
Experience integrating automated tests into CI/CD pipelines
Strong understanding of test design principles and the software testing life cycle
Proven proficiency with AI-assisted engineering tools (e.g., code generation, test generation, debugging assistants) applied responsibly in a production QA context
Ability to own quality for a product area independently, with minimal oversight
Strong communication skills — comfortable as a peer to engineers and product managers
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