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Senior QA Engineer
Accepting applicationsBrightEdge · India
Full-Time Mid_senior AIMentorPythonaiate
Posted
6d ago
Category
Test
Experience
Mid_senior
Country
India
Senior QA Engineer - Remote India
Role Direction and Impact
The Senior QA Engineer will be a critical quality owner responsible for ensuring product reliability, scalability, and release confidence across assigned modules. This role goes beyond execution-focused QA and requires strong ownership, technical depth, and independent decision-making.
This engineer will:
• Own QA End-to-End: Drive quality strategy, test planning, execution, defect management, and release sign-off for assigned product areas.
• Build Multi-Layer Automation: Develop and maintain automation across APIs, end-to-end product flows, and backend/data validation layers.
• Ensure Data Correctness: Validate database and pipeline-level correctness using SQL and backend verification strategies.
• Leverage AI-Assisted QA: Use tools like Claude and Cursor to accelerate test generation, regression coverage, debugging, and productivity while applying strong engineering judgment.
• Improve Engineering Quality: Contribute to CI/CD quality gates, debugging, release confidence, and overall engineering excellence.
• Operate Independently Across Timezones: Work effectively with distributed teams, manage delivery ownership, and maintain strong communication with overseas stakeholders.
• Mentor and Influence: Support junior QA engineers and promote scalable QA practices across teams.
Technical Requirements & Key Skills
• Strong QA Engineering Experience: 8+ years of QA engineering experience in product-focused organizations.
• Python Expertise: Strong hands-on experience building automation frameworks and test suites using Python.
• API & Flow Automation: Proven experience automating APIs and end-to-end product workflows.
• Data Validation & SQL: Strong understanding of SQL, database validation, and backend data testing.
• Linux Proficiency: Comfortable working with Linux systems, logs, debugging tools, and command-line workflows.
• AI-Assisted Testing: Practical experience using Claude, Cursor, or similar AI tools in real QA workflows.
• CI/CD & DevOps Awareness: Familiarity with Jenkins, GitHub Actions, Docker, and quality gate integrations is a plus.
• Distributed Team Collaboration: Experience working with overseas teams and distributed engineering organizations. (EST Working Hours)
• Version Control: Proficiency with Git-based workflows.
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Role Direction and Impact
The Senior QA Engineer will be a critical quality owner responsible for ensuring product reliability, scalability, and release confidence across assigned modules. This role goes beyond execution-focused QA and requires strong ownership, technical depth, and independent decision-making.
This engineer will:
• Own QA End-to-End: Drive quality strategy, test planning, execution, defect management, and release sign-off for assigned product areas.
• Build Multi-Layer Automation: Develop and maintain automation across APIs, end-to-end product flows, and backend/data validation layers.
• Ensure Data Correctness: Validate database and pipeline-level correctness using SQL and backend verification strategies.
• Leverage AI-Assisted QA: Use tools like Claude and Cursor to accelerate test generation, regression coverage, debugging, and productivity while applying strong engineering judgment.
• Improve Engineering Quality: Contribute to CI/CD quality gates, debugging, release confidence, and overall engineering excellence.
• Operate Independently Across Timezones: Work effectively with distributed teams, manage delivery ownership, and maintain strong communication with overseas stakeholders.
• Mentor and Influence: Support junior QA engineers and promote scalable QA practices across teams.
Technical Requirements & Key Skills
• Strong QA Engineering Experience: 8+ years of QA engineering experience in product-focused organizations.
• Python Expertise: Strong hands-on experience building automation frameworks and test suites using Python.
• API & Flow Automation: Proven experience automating APIs and end-to-end product workflows.
• Data Validation & SQL: Strong understanding of SQL, database validation, and backend data testing.
• Linux Proficiency: Comfortable working with Linux systems, logs, debugging tools, and command-line workflows.
• AI-Assisted Testing: Practical experience using Claude, Cursor, or similar AI tools in real QA workflows.
• CI/CD & DevOps Awareness: Familiarity with Jenkins, GitHub Actions, Docker, and quality gate integrations is a plus.
• Distributed Team Collaboration: Experience working with overseas teams and distributed engineering organizations. (EST Working Hours)
• Version Control: Proficiency with Git-based workflows.
Show more Show less