Manager, Quality Engineering

Appian•McLean, VA

7d•Onsite

About The Position

Our Quality Engineering team at Appian is dedicated to ensuring our enterprise software platform is flawless, resilient, and optimized for global scale. We operate in a highly collaborative, fast-paced environment focused on deep-tier technical precision, automated architecture, and continuous delivery pipelines. By joining this specialized group, you will collaborate directly with our Business Technology Development team to deliver robust validation frameworks that expand the capabilities of our AI-Powered Process Automation platform.

Requirements

8+ years in Quality Assurance with at least 3+ years in a QA management, lead, or supervisory role.
5+ years of hands-on experience building test automation frameworks from the ground up using tools like Playwright and Selenium.
Strong proficiency in at least two core languages used for automation (e.g., Python, TypeScript/JavaScript).
Proven track record integrating automated suites into CI/CD pipelines and containerized environments (Docker, Kubernetes).
Master-level understanding of API testing, performance/load testing, and security testing basics.
Extensive experience working in Agile/Scrum environments with tools like Jira.

Nice To Haves

Familiarity with AI-driven testing tools or autonomous test generation frameworks.
Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
Experience with using AI tools for test automation is a plus.

Responsibilities

Lead, mentor, and expand a team of QA engineers.
Establish performance goals, conduct code reviews for test suites, and foster a culture of quality across engineering.
Design, implement, and maintain scalable, robust test automation frameworks (UI, API, unit, and performance testing) across Appian UI and backend services.
Design and scale custom testing applications from scratch in languages like Java or Python, utilizing tools such as Selenium, Playwright, and Postman.
Integrate automated test suites directly into DevOps pipelines (GitLab CI) to enable automated smoke, regression, and release testing.
Shift testing left by embedding QA early in the SDLC, defining test plans during sprint planning, and driving automated test coverage targets (e.g., >80%).
Establish key quality metrics (defect density, test execution time, automation coverage, mean time to detect/resolve) and present actionable dashboards to executive leadership.
Select, evaluate, and manage QA tools and performance testing tools.
Assess the structural impact of changes across the entire codebase through meticulous code reviews, ensuring engineering best practices are followed.
Deconstruct complex platform features into detailed story tickets, systematically identifying edge cases, system dependencies, and technical deployment risks.