Senior Test Automation Engineer (1)
Summary
Senior test automation engineer defining automation strategy for Hitech i2i, an AI platform for real estate document automation: builds frameworks for API, UI, workflow, performance, and ML/AI model validation testing in CI/CD. Stack: Python/JavaScript, Postman/Newman, Selenium/Playwright/Cypress, JMeter, GitHub Actions/GitLab CI.
- Design, develop, and maintain robust test automation frameworks for API, UI, workflow, regression, and end-to-end testing.
- Build and execute automated API test suites using Postman, Newman, Swagger/OpenAPI, and custom scripting.
- Develop UI automation using Selenium, Playwright, or Cypress with broad regression and compatibility coverage.
- Implement load, stress, and performance testing using tools such as JMeter, Gatling, Locust, or similar frameworks.
- Integrate automated test suites into CI/CD pipelines (GitHub Actions, GitLab CI, Azure DevOps) with continuous quality gates.
- Develop automated health checks, smoke tests, and monitoring scripts to ensure platform stability.
- Design ML/AI model validation harnesses covering OCR output quality, extraction accuracy, prediction consistency, and drift detection using tools like Deepchecks, EvidentlyAI, and Great Expectations.
- Collaborate closely with backend, frontend, ML, and DevOps teams to drive quality, troubleshoot issues, and strengthen testing best practices.
- 5-8 years of experience in Test Automation, with strong hands-on scripting in Python, JavaScript, Bash, or PowerShell.
- Expertise in API automation using Postman, Newman, Swagger/OpenAPI.
- Strong experience with Selenium, Playwright, or Cypress for UI automation.
- Experience with CI/CD test integration in GitHub Actions, GitLab CI, or Azure DevOps.
- Hands-on experience with performance/load testing tools: JMeter, Gatling, Locust, or equivalent.
- Experience building reusable, modular automation frameworks.
- Understanding of microservices-based testing, backend/API debugging, and system reliability.
- Strong problem-solving, analytical, communication, and debugging skills.
- Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
- Experience working in SaaS product engineering or enterprise automation environments.
- Familiarity with ML/AI testing frameworks such as Deepchecks, EvidentlyAI, Great Expectations, MLflow test utilities.
- Exposure to OCR systems, AI document processing, or workflow automation platforms.
- Understanding of enterprise security, quality gates, data validation, and multi-tet testing scenarios.
- Experience testing applications deployed on cloud environments (AWS, Azure, GCP).
- Familiarity with containerized environments (Docker, Kubernetes).
- Relevant QA certifications (e.g., ISTQB, CSTE).
- Contribute to an ambitious AI/ML-driven platform transforming real estate technology.
- Solve high-impact testing challenges across OCR, NLP, ML pipelines, and workflow automation.
- Work on a rapidly scaling enterprise SaaS product used by US-based title and property data companies.
- Be part of an AI-first engineering culture with opportunities for rapid career growth.
Skills
- AI
- API
- Automation
- AWS
- Azure
- Azure DevOps
- Bash
- BIM
- CAD
- CI/CD
- Cloud
- Computer Vision
- Cypress
- Data Engineering
- DevOps
- Docker
- Gatling
- GCP
- GitHub
- GitHub Actions
- GitLab
- JavaScript
- JMeter
- Kubernetes
- LLM
- Machine Learning
- Microservices
- MLflow
- NLP
- OpenAPI
- Playwright
- Postman
- PowerShell
- Python
- SaaS
- Selenium
- Swagger
- Test Automation
- Workflow Orchestration