Senior QA Engineer

Intercontinental Exchange · Atlanta

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Job Purpose

We are seeking an experienced Senior QA Engineer to join our Atlanta-based Quality Assurance organization. In this role, you will combine strong functional testing discipline with practical automation, AI-assisted workflows, exploratory testing, defect management, and quality reporting.

This position will help shape how our organization adopts automation and artificial intelligence in a practical, sustainable way. You will use AI tooling and automation to strengthen our QA process, applying them across requirements analysis, test authoring, coverage review, automation planning, execution, and reporting. We are looking for an engineer who can meet the organization where it is today while helping establish scalable practices for where it needs to go next.

This is a hands-on individual contributor role that does not require people management.

Responsibilities

• End-to-End Functional Test Ownership
  • Assume full accountability for functional test coverage of assigned applications, including the user interface, service layers, and integration points.
  • Be hands-on across assigned applications, combining manual, exploratory, regression, integration, and automated testing based on risk, value, and maintainability.
  • Define and maintain the application's test strategy, determining which tests should remain manual, which should be automated, and how coverage should evolve over time.
  • Act as the quality authority for the application, providing evidence-based release readiness assessments to engineering and product leadership.
• AI-Enabled Quality Workflow
  • You will apply AI tooling and automation selectively across the quality lifecycle, with emphasis on improving consistency, speed, coverage, and decision-making:
  • Evaluate requirements, acceptance criteria, and design documentation to surface ambiguities, missing edge cases, and untestable requirements prior to development.
  • Create manual test cases and scenarios from requirements, then apply engineering judgment to refine, consolidate, and prioritize them.
  • Review implemented functionality, requirements, and the existing test suite to identify coverage gaps, duplicate effort, ineffective assertions, and divergence between specified and actual behavior.
  • Assess each test for automation suitability based on stability, execution frequency, maintenance cost, and exploratory value, and make defensible recommendations on automated versus manual execution.
  • Build and maintain Playwright automation where it provides clear value, using AI tooling to accelerate authoring, refactoring, debugging, and long-term maintenance.
  • Operate automated suites within CI/CD pipelines while continuing to perform manual, exploratory, and scenario-based testing where human judgment is the better instrument.
  • Triage, reproduce, document, and drive defects to resolution, using AI-assisted analysis to shorten root-cause isolation.
  • Produce clear, decision-ready reporting on coverage, execution results, defect trends, and release risk.
• Test Framework Development
  • Contribute substantively to the organization's growing QA automation framework, extending its capability while ensuring it complements a manual testing model.
  • Design and implement automation solutions when required, including architecture, page and component abstractions, fixtures, test data management, environment configuration, CI integration, and reporting, with attention to long-term adoption.
  • Establish automation standards and design patterns that keep test suites fast, reliable, readable, and approachable for QA engineers building automation skills.
• Technical Leadership
  • Lead by example through code review, pairing, and hands-on guidance; help manual QA engineers build practical automation, AI, and technical testing skills over time.
  • Serve as a resource for the broader QA and engineering organization on practical automation, AI-assisted testing methods, and when manual testing remains the most effective approach.
  • Partner with software engineers, product managers, and DevOps to shift quality activities earlier in the delivery cycle.

Required Qualifications

• 5+ years of professional experience in software quality engineering, including strong manual testing experience and meaningful hands-on test automation work.
• Demonstrated depth with Playwright, extending beyond test authoring to suite architecture, flakiness mitigation, test data strategy, and execution at scale within CI.
• Practical, applied experience using AI-assisted engineering tooling as part of a routine development or testing workflow for example, AI coding agents, AI-assisted test authoring, or AI-supported code and requirements analysis.
• Strong foundation in functional testing, including test design techniques, risk-based prioritization, boundary and negative testing, and structured exploratory testing.
• Experience contributing to or building test automation frameworks, with the ability to explain architectural decisions and adapt solutions for teams at different automation maturity levels.
• Proficiency in TypeScript or JavaScript, or comparable programming experience with the ability to become productive quickly.
• Experience owning both manual and automated testing for an application, with sound judgment regarding the appropriate role of each in a hybrid QA model.
• Working knowledge of defect and test management tooling such as Jira, Xray, or equivalent.
• Experience integrating automated test execution into CI/CD pipelines.
• Excellent written and verbal communication skills; test plans, defect reports, and quality summaries must stand on their own without narration.

Preferred Qualifications

• Hands-on experience with Claude Code or a comparable AI coding agent.
• Experience creating AI agent skills and custom agents, and using Model Context Protocol (MCP) servers, including building MCP servers when existing tooling is not sufficient.
• API test automation experience across REST or GraphQL, including contract testing.
• Experience helping a manual QA organization adopt automation, AI tooling, or modern quality practices in a practical and sustainable way.
• Background in a regulated or high-reliability domain.

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