Senior QA Engineer

BrightEdge; India; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

BrightEdge in India seeks a Senior QA Engineer to own quality across modules, driving end-to-end testing, automation, and data validation. You will leverage AI-assisted tools to accelerate coverage and work within CI/CD pipelines to ensure release confidence.

You will mentor junior engineers, collaborate with overseas teams, and maintain high standards for reliability and scale in a product-focused organization.

Qualifications

• 10+ years of QA experience in product-focused organizations.
• Hands-on Python automation framework development.
• Automation across APIs and end-to-end product workflows.
• Strong SQL and backend data testing skills.
• Proficiency with Linux and debugging in a CI/CD environment.
• Experience using AI tools in QA workflows.
• Familiarity with Jenkins, Docker and Git workflows.

Responsibilities

• Own QA end-to-end: strategy, test planning, execution, defect management, release sign-off.
• Build and maintain automation across APIs, flows, and backend data validation layers.
• Validate data correctness with SQL and backend verification.
• Leverage AI-assisted QA tools to accelerate test generation and regression coverage.
• Contribute to CI/CD quality gates and release confidence.
• Collaborate across time zones with distributed teams and stakeholders.
• Mentor junior QA engineers and promote scalable QA practices.

Skills

QA Engineering

Python

API & Flow Automation

Data Validation

SQL

AI-Assisted Testing

CI/CD

Distributed Teamwork

Git

Linux

Tools

Jenkins

GitHub Actions

Docker

Job description

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.

Responsibilities

• 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: 10+ 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.