Automated Test Engineer

Job Description

we're looking for a detail-oriented and hands-on QA/Test Engineer to join our team working on a large-scale data extraction and provisioning platform. you'll play a critical role in ensuring the quality, performance, and reliability of backend APIs, frontend interfaces, and data workflows. This role involves both manual and automated testing with a strong focus on integration testing, load/performance validation, and test automation across UI and API layers. Key Responsibilities: Develop and execute integration and load test plans across APIs, data pipelines, and UI workflows Design and implement automated test scripts for REST APIs and frontend (Angular-based UI) Validate backend APIs for job execution, audit logging, and data extraction accuracy Perform regression, smoke, and sanity testing across environments Use tools like Postman, JMeter, PyTest, or similar to create test suites Collaborate with developers and DevOps to integrate test cases in CI/CD pipelines Monitor system performance under various data and load conditions Maintain test documentation, logs, and reports; raise detailed defect reports Participate in agile ceremonies and support UAT during go-live cycles Required Skills & Experience: 5+ years of experience in QA engineering with strong focus on backend/API and UI testing Hands-on experience in integration and performance testing Strong scripting and automation skills using Python or JavaScript Experience automating REST API testing using Postman, PyTest, or similar frameworks Proficient in testing Angular-based web applications Familiarity with load testing tools like Apache JMeter, PyTest Knowledge of CI/CD tools such as Jenkins, GitLab CI, or AWS Code Pipeline Experience working in Agile/Scrum teams with exposure to DevOps practices Understanding of SQL and ability to validate test results against SQL Server Familiarity with data pipeline testing and validation in ETL/ELT environments Exposure to Apache Airflow or workflow orchestration testing Basic knowledge of containerization (Docker) and cloud (AWS) environments