Lead Software Engineer In Test

RapidCanvas; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

RapidCanvas seeks a senior QA Automation lead to champion end-to-end testing across web, APIs, backend services, and data workflows. You will guide quality engineering with AI-driven strategies, mentor engineers, and collaborate with product and DevOps teams.

You will implement scalable frameworks, integrate AI/ML testing methods, and deliver actionable dashboards to reduce release risk and improve reliability.

Qualifications

• Eight or more years in QA or SDET roles, including leadership experience.
• Hands-on programming experience in Python, Java, JavaScript, or TypeScript.

Responsibilities

• Define automation strategy and build end-to-end frameworks for web apps, APIs, backend systems, and data workflows.
• Apply AI-assisted methods like self-healing tests, test prioritization, flaky test detection, and test generation from requirements.
• Use analytics and NLP to identify anomalies and surface patterns in system behavior.
• Develop quality dashboards with predictive signals such as defect trends and release risk.
• Optimize regression runs through impact analysis and explore generative tools for mock data and load scenarios.
• Mentor engineers and embed testing earlier in development with AI-informed quality practices.

Skills

QA/SDET leadership

Python

Java

JavaScript

TypeScript

Selenium

Playwright

Cypress

Postman

RestAssured

AI/ML in testing

CI/CD

GitHub Actions

Jenkins

GitLab

Mentoring

Communication

Tools

Selenium

Playwright

Cypress

Postman

RestAssured

GitHub Actions

Jenkins

GitLab

Job description

Role overview

Lead the development of an end-to-end test automation strategy for a software platform, applying AI and machine learning to improve test coverage, reliability, and delivery efficiency. You will guide quality engineering across web, APIs, backend services, and data workflows while mentoring engineers and working closely with product and DevOps teams.

Responsibilities

• Define automation strategy and build frameworks spanning web applications, APIs, backend systems, and data workflows.
• Apply AI-assisted methods such as self-healing tests, test case prioritization, flaky test detection, and test generation from requirements.
• Use analytics and language processing to identify anomalies, validate conversational interfaces, and surface patterns in system behavior.
• Develop quality dashboards with predictive signals such as defect trends, release risk, and possible root causes.
• Optimize regression runs through impact analysis; explore generative tools for mock data, load scenarios, and security simulations.
• Embed testing earlier in development and mentor engineers in AI-informed quality practices.

Requirements

• Eight or more years in QA or SDET roles, including at least two years in a leadership position.
• Strong programming skills in one or more of Python, Java, JavaScript, or TypeScript.
• Hands-on experience with test automation frameworks such as Selenium, Playwright, or Cypress and API testing tools such as Postman or RestAssured.
• Demonstrated experience integrating AI/ML tools into testing workflows, including test generation, prioritization, self-healing, or anomaly detection.
• Experience with CI/CD systems such as GitHub Actions, Jenkins, or GitLab, plus strong communication, leadership, and mentoring skills.

Nice to have

• Familiarity with AI-based performance testing and validating AI/ML data for bias, drift, or accuracy.