Senior QA Automation Engineer
Crop.photo
IndiaremotePosted 15 days ago
Skill Required
QA-Automation-EngineerSenior-QA-Automation-EngineerAutomation-TestingQuality-Assurance-EngineerSoftware-QA-EngineerSenior-Automation-QA-EngineerSenior-QA-Automation-TesterSenior-Automation-QASenior-QA-AutomationSenior-Automation-Test-EngineerSenior-Quality-Assurance-Automation-SpecialistQA EngineerautomationJMeterMachine LearningComputer VisionGitHub ActionsManual TestingSystem DesignGenerative AIPostmanEngineeringR ProgrammingJavaScriptServerlessPlaywrightJenkinsSeleniumbuildingCypressetc.)TestNGPythondesignGitCI/CDCloudFulltime
Key highlights
- Experience Level: 5–8 years
- Key Tools: Playwright, Cypress, Postman, Jenkins
- Remote: Flexible work environment supported
- Role Focus: QA Automation and AI/ML Testing
- Domain: AI-powered Media Management & SaaS
- Programming: Java, Python, or JavaScript
Role overview
Evolphin is seeking a QA Automation Engineer with 5–8 years of experience to take ownership of the automation strategy and quality engineering for its next-generation AI-powered media platform. This role is ideal for a candidate who thrives in fast-moving startup environments, balancing a primary focus on building automation frameworks with hands-on manual validation of new features and AI-driven workflows.
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
- Review, validate, and harden AI-generated test code (not blindly accept output)
- Build prompt templates for test case generation from user stories
- Design deterministic validation strategies for probabilistic AI outputs
- Integrate automation into AI-heavy workflows (semantic search, generative features, etc.)
- Perform hands-on manual testing for new features, exploratory scenarios, AI output validation, and edge-case workflows
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
- Experience using LLMs (ChatGPT, GitHub Copilot, Cursor, etc.) to generate and refactor automation scripts
- 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)
Nice 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: Validating cutting-edge computer vision and generative AI workflows that didn't exist three years ago
Additional details
- Evolphin is building the next generation of AI-powered media workflows for enterprise media teams managing large image and video libraries at scale, including environments with tens of millions of video assets and extremely large metadata and embedding footprints.
- Its platform adds a conversational AI layer for extracting intelligence from media, enabling powerful search, conversational discovery, and automation of media workflows through AskAI.
- The company is building the next generation of intelligent, automation-first media management from the ground up.
- The role requires ensuring the reliability, usability, performance, and scalability of image and video automation workflows.
- Originally posted on Himalayas