[Hiring] Senior QA Automation Engineer @Crop.photo

Role Description

We are looking for a QA Automation Engineer (5–8 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
• 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.)

Qualifications

• 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.