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Lead Software Engineer In Test

RapidCanvas

Remote · INJobPosted 1y agoStill listed 3 days ago

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At a glance

Compensation
No compensation found
Location
Remote · IN
Work Authorization
Not specified

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Job overview

RapidCanvas, an AI‑powered data application platform, seeks a Lead SDET to design and own end‑to‑end test automation strategy. The role involves integrating AI/ML tools, mentoring engineers, collaborating across product and DevOps, and delivering high‑quality, scalable AI‑first solutions for web, API, backend, and data workflows.

Skills & qualifications

RequiredNice to have

Skills

Python (Programming Language)Java (Programming Language)JavaScript (Programming Language)TypeScriptSeleniumPostmanAdvanced Rest ClientHttpclientContinuous IntegrationData ValidationCommunication SkillsLeadership DevelopmentPlaywrightCypressRestAssuredJava HTTPClientTestimMablFunctionizeGitHub ActionsJenkinsGitLabArtificial Intelligence IntegrationData Validation TestingNatural Language ProcessingCommunicationLeadership

Qualifications

8+ Years QA/SDET Experience2+ Years Leadership Experience

Full job description

About RapidCanvas RapidCanvas is an AI-powered data application platform that helps businesses build, deploy, and scale intelligent applications faster. We’re a fast-growing startup, passionate about simplifying data workflows, accelerating insights, and enabling decision-making through automation and innovation. We are looking for a Lead SDET to join our core engineering team and establish a world-class test automation ecosystem. This role is ideal for someone excited about applying AI-driven techniques in software testing and quality assurance. What we are looking for As a Lead SDET, you will design and own the end-to-end test automation strategy, integrating AI and ML-based testing tools to improve efficiency, coverage, and reliability. You will mentor engineers, collaborate with product/DevOps teams, and ensure our AI-first platform delivers at scale with uncompromising quality. Key Responsibilities

  • Define and implement the automation strategy across web, APIs, backend, and data workflows.
  • Build and maintain test automation frameworks with AI-assisted capabilities (self-healing tests, intelligent test case prioritization, flaky test detection).
  • Leverage AI/ML models to generate, optimize, and maintain test cases from requirements and user stories.
  • Integrate AI-powered analytics to detect anomalies in system performance, user flows, and error patterns.
  • Use natural language processing (NLP) models to create chatbot-driven test cases and validate conversational interfaces.
  • Collaborate with developers to implement shift-left testing and embed AI-driven unit/integration test generation.
  • Define quality dashboards with predictive insights (defect trends, release risk scoring, auto root-cause suggestions).
  • Conduct AI-based regression impact analysis to optimize test execution pipelines.
  • Explore generative AI tools for auto-generating mock data, load scenarios, and security attack simulations.
  • Mentor team members in adopting AI-first testing practices.

Key Skills Required

  • 8+ years of experience in QA/SDET roles, with 2+ years in a leadership role.

  • Strong programming skills in Python/Java/JavaScript/TypeScript.

  • Hands-on expertise in test automation frameworks (Selenium, Playwright, Cypress, etc.) and API testing (Postman, RestAssured,Java HTTPClient).

  • Proven experience in integrating AI/ML tools into test automation pipelines. Examples:

  • Self-healing automation tools (Testim, Mabl, Functionize, etc.)

  • AI-driven test case generation & prioritization

  • Intelligent anomaly detection for QA metrics

  • Familiarity with AI-based load/performance testing (e.g., using ML models to predict scale issues).

  • Experience in CI/CD with AI integration (GitHub Actions, Jenkins, GitLab, etc.).

  • Knowledge of data validation testing for AI/ML models (bias, drift, accuracy validation) is a strong plus.

  • Excellent communication, leadership, and mentoring skills.

Why Join RapidCanvas?

  • High-impact opportunity: Play a pivotal role in building a new business vertical within a rapidly growing AI company.
  • Next-gen technology: Sell a flexible, AI-powered alternative to legacy SCM solutions.
  • Strong leadership & funding: Backed by top-tier investors, our leadership team has deep experience scaling AI-driven businesses.
  • Recognized as a top 5 Data Science and Machine Learning platform by independent research firm G2 for customer satisfaction.

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