Senior QA Automation Engineer

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🔥 56 minutes ago

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Fractional Jobs

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2023

📣 Marketing

💼 Consulting

📦 Logistics

Marketing • Consulting • Logistics

Fractional Jobs is an innovative platform that leverages AI technology to streamline the image editing process for businesses. With tools like background removal, automatic resizing, and intelligent cropping, Fractional Jobs allows users to efficiently manage and enhance large volumes of images for eCommerce and marketing purposes. Their services are designed for wholesalers, marketplace sellers, and other businesses needing quick and high-quality image edits, thereby reducing turnaround times and improving overall productivity.

📋 Description

• Design and own the end-to-end automation framework for web, API, and AI-driven features • Build API automation suites for our core automation workflows and integrations (Postman/Newman/RestAssured) • Drive UI automation using Selenium, Playwright, or Cypress • Ensure cross-browser compatibility for our design-heavy, canvas-based interfaces • Build performance testing suites to validate image/video processing throughput under load • Embed quality gates into our deployment pipelines (GitHub Actions/Jenkins) • Enable rapid, confident releases through automated testing at every stage • Develop testing strategies for AI-generated outputs (image crops, background removal, resolution enhancement) • Create validation frameworks for non-deterministic ML results—balancing precision with creative flexibility • Partner with Product to define acceptance criteria for AI-driven features • Work alongside Engineering to shift-left quality and build testability into system design • Experience using LLMs (ChatGPT, GitHub Copilot, Cursor, etc.) to generate and refactor automation scripts • Ability to review, validate, and harden AI-generated test code (not blindly accept output) • Experience building prompt templates for test case generation from user stories • Familiarity with AI-assisted test case generation and coverage analysis • Understanding of how to test AI-driven features (prompt testing, hallucination detection, cost optimizations, response validation) • Ability to design deterministic validation strategies for probabilistic AI outputs • Experience integrating automation into AI-heavy workflows (semantic search, generative features, etc.)

🎯 Requirements

• 5 to 7 years of hands-on QA automation experience in fast-paced product environments • Web Automation: Deep expertise in Playwright, or Cypress—you know when to use which • API Testing: Proven experience with Postman, Newman, RestAssured, or similar tools • AI/ML Testing: Experience validating machine learning systems or computer vision pipelines • Programming: Proficiency in Java, Python, or JavaScript—you can read and write production code • CI/CD: Experience integrating tests into GitHub Actions, Jenkins, or similar pipelines • SaaS Domain: Track record testing cloud-based, multi-tenant products at scale • Startup DNA: Comfortable with ambiguity, rapid iteration, and wearing multiple hats • **Good to Have** • Visual Domain: Background in image/video processing, creative tools, or digital asset management • Performance Engineering: Hands-on with JMeter, k6, or Gatling for load testing • Cloud Platforms: AWS or GCP experience, particularly with serverless or containerized architectures

🏖️ Benefits

• Impact at scale: Build the backbone of a platform trusted by major brands and enterprises to automate critical creative workflows. • Innovation-driven: Collaborate at the intersection of backend, AI, and cloud automation. • Growth opportunities: Lead backend strategy while mentoring and shaping engineering practices. • Flexible work environment: Support for remote arrangements tailored to your needs. • AI-First Product: You're not testing CRUD apps—you're validating cutting-edge computer vision and generative AI workflows that didn't exist three years ago.