Salary
≈ $21k – $57k per year (Estimated)
Location
Remote/Hybrid (Hyderabad, India)
Seniority
Senior
Overview
Company
Impact
Profile match
Brillio is a global digital technology consulting and services firm headquartered in Edison, New Jersey, and founded in 2014. The company provides a range of services including artificial intelligence engineering, data analytics, cloud infrastructure management, and product design to help enterprises modernize their digital operations. Operating across North America, Europe, and Asia, the firm serves clients in sectors such as financial services, healthcare, and retail through a network of global delivery centers and strategic technology partnerships.
Senior Software Development Engineer
Primary Skills
- AngularJS, JavaScript, CSS3, React JS, Java, Hibernate, Oracle RDBMS, Docker, Spring Core, Spring Boot, HTML5, MySQL
Job requirements
- Overview We are seeking a skilled QA Automation Engineer to design, develop, and maintain automated test suites across frontend, backend, and integration layers. The ideal candidate will have hands-on experience with modern test automation frameworks and tools, ensuring high-quality, scalable, and reliable digital solutions. Key Skills & Expertise Must Have Skills Automation Frameworks - Strong experience with Selenium, Cypress, or Playwright. Frontend Automation - Hands-on testing React.js applications (React TestingLibrary, Jest). Backend/API Automation - Proficient in API testing with Postman, PyTest, or REST-assured (REST/GraphQL validation). Programming/Scripting - Proficiency in Python or JavaScript for building test scripts. Database Testing - SQL skills for backend validation and data integrity checks. CI/CD Integration - Embedding automated tests in pipelines (GitHub Actions, GitLab CI, Jenkins). Version Control - Proficient with Git workflows (branching, merging, PRs). Agile Collaboration - Experience working in Agile/Scrum, with Jira or similar tools. Nice to Have Skills • Containerization/Cloud Awareness - Familiarity with Docker, Kubernetes, AWS/GCP/Azure. • AI/ML Testing - Exposure to validating AI-driven components (e.g., test script generation).
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