

Search by job, company or skills

QA Engineer (Application Level)
Position: QA Engineer (Application Level)
Location: Bangalore (Hybrid)
Experience: 3–4 years
Job Overview
We're looking for an Application-Level QA Engineer with 3–4 years of experience to own quality across our analytics and tracking web applications. Because our products surface survey and analytics data through dashboards and visualizations, this role goes beyond standard functional testing - you'll also validate that what users see in the UI accurately reflects the underlying data. The ideal candidate is detail-obsessed, comfortable with both manual and automated testing, and uses modern tooling (including AI) to test thoroughly and quickly.
Responsibilities
Required Skills
Good to Have
Job ID: 153834075
Skills:
agile environment , Java, automation testing, Manual Testing, JIRA, Selenium, Soapui, Testrail, Python, Mobile Testing, AI agents in STLC, QA Methodologies, application development life-cycle, automated execution, test bug management tools, API automation testing, testing and automating for large scale applications
Skills:
Git, Mobile Application Testing, test automation, Rest Apis, API testing methodologies, defect lifecycle, Playwright, AI Tools, Qa Processes, software testing methodologies
Skills:
Terraform, Api Testing, Python, BigQuery, Pytest, Google Cloud Platform, Dataproc, Jenkins, DataFlow, Postman, Rest Apis, dbt-expectations, Cloud Logging, Deployment Manager, Great Expectations, AlloyDB, Cloud Composer, Cloud Run, GitHub Actions, Elementary Data, Cloud SQL, dbt-utils, Soda Core, GitLab CI, Dataplex, dbt, Spanner
Skills:
Automation Testing, Manual Testing, Quality Assurance Engineering, Scripting or Coding
Skills:
Mqtt, PostgreSQL, JIRA, Shell Scripts, Nosql, Javascript, Docker, SNMP, Python, Postman, Linux environments, cloud native SaaS products, system logs troubleshooting, database structures, test lifecycle management, structured objective bug tracking, IoT sensors, network monitoring architectures, BACnet, systemic monitoring infrastructure, advanced AI engineering tools, software testing methodologies, API frameworks, testing high density web applications, Modbus, IoT hardware integrations, insomnia, analytical dashboards, network communication hardware devices