QA Automation Engineer at Crop.photo

, , India -

Full Time

Start Date

Immediate

Expiry Date

27 May, 26

Salary

0.0

Posted On

26 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Automation Frameworks, Manual Testing, AI Output Validation, Web Automation, API Automation, UI Automation, Selenium, Playwright, Cypress, Postman, Newman, RestAssured, Performance Testing, CI/CD, GitHub Actions, Jenkins

Industry

technology;Information and Internet

Description

We are looking for a QA Automation Engineer (4–7 years experience) who can take ownership of automation strategy and quality engineering for our AI-powered platform. This role is primarily automation-focused, but will also require hands-on manual testing for new features, exploratory scenarios, AI output validation, and edge-case workflows. You will play a critical role in ensuring the reliability, usability, performance, and scalability of our image and video automation workflows. This role is ideal for someone who thrives in fast-moving startup environments and enjoys building automation frameworks while staying close to product behavior through manual validation when needed. Key Responsibilities 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 Validate complex workflow automation chains (image ingestion → AI processing → asset delivery) 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.). 4–7 years of hands-on QA automation experience in fast-paced product environments Web Automation: Deep expertise in Selenium, Playwright, or Cypress—you know when to use which API Testing: Proven experience with Postman, Newman, RestAssured, or similar tools 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 AI/ML Testing: Experience validating machine learning systems or computer vision pipelines 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 What We're Looking For 🎯 Ownership Mentality: You don't wait for tickets—you identify gaps, propose solutions, and ship. You treat test infrastructure as a product, not an afterthought. 🏗 Builder's Mindset: You've built automation frameworks from scratch before. You understand that in a startup, "done" beats "perfect," but "reliable" beats "done." ⚡Startup Agility: You thrive in environments where priorities shift, features evolve weekly, and the codebase grows fast. You're energized by high-velocity shipping, not slowed by it. 🗣️ Communication Excellence: You translate technical risks into business impact. You can explain to a designer why their AI crop feature failed validation, and to leadership why a release needs to hold.

Responsibilities

The engineer will design and own the end-to-end automation framework for web, API, and AI-driven features, building suites and ensuring cross-browser compatibility for image/video workflows. Key duties also involve embedding quality gates into deployment pipelines and developing testing strategies specifically for AI-generated outputs.