Senior QA Automation Engineer

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Logo of Crop.photo by Evolphin

Crop.photo by Evolphin

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

🛍️ eCommerce

Artificial Intelligence • SaaS • eCommerce

Crop. photo by Evolphin is an AI-powered image editing and automation platform that helps retailers, brands, marketplaces and photo studios crop, resize, enhance, remove backgrounds, and generate product images and videos at scale. It provides reusable “AI Recipes,” APIs and a Shopify plugin to automate bulk workflows (crop, face/ body-aware crops, background removal/replacement, upscaling, banner generation, and product video generation) so catalog images meet different channel and marketplace specifications. The product targets fashion & apparel, D2C, marketplaces, photo studios and enterprise e-commerce teams seeking consistent, on-brand, marketplace-ready imagery.

📋 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 • 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

🏖️ 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.

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