Summary
The Senior Quality Test Engineer I contributes to the development and execution of quality-driven, automation-first testing solutions, leveraging foundational AI-assisted testing capabilities.
This role emphasizes building a strong quality mindset, understanding risk-based testing, and supporting delivery teams in achieving reliable, high-quality releases.
Working closely with senior engineers, this role focuses on: Learning what to test and why, not just how, applying automation and AI tools to improve efficiency, and contributing to scalable and maintainable testing practices
The engineer plays a key role in transitioning from manual-heavy testing to intelligent, automation-assisted quality engineering.
Key Responsibilities
Technical Excellence
- Contribute to quality assurance and automation-first testing practices for assigned components.
- Develop and maintain: Test cases, Automated test scripts (UI/API), Basic performance tests
- Use AI tools to: Generate test scenarios, Assist in writing test scripts and Improve productivity in test design
- Learn to validate and refine AI-generated outputs.
- Apply risk-based thinking to prioritize testing efforts.
- Support maintenance and enhancement of test frameworks and automation suites.
- Participate in technical discussions and contribute ideas for improving test coverage and efficiency.
Operational Excellence
- Execute automated and exploratory tests with a focus on quality outcomes, not just completion.
- Support regression cycles using: Automation, AI-assisted test generation where applicable.
- Review logs, monitoring data, and alerts to assist in issue identification and analysis.
- Document defects clearly with context, impact, and reproducibility.
- Assist in root cause analysis, learning to identify underlying issues.
- Collaborate with developers to improve: Testability, Early defect detection (shift-left).
- Provide feedback on: Test coverage gaps, Risk areas before release.
Product Delivery & Business Impact
- Contribute to risk-based test planning aligned with feature requirements.
- Work with Product and Engineering teams to: Clarify requirements, Ensure they are testable and complete.
- Use AI tools to support: Test case generation, Test data preparation, Regression optimization.
- Follow and contribute to standard automation and testing practices across teams.
- Begin identifying what should be automated vs manually validated, based on guidance.
- Ensure test scenarios cover: Functional requirements, Key edge cases, Basic user workflows.
- Participate in improving overall product quality and testing efficiency.
Leadership & Collaboration
- Take ownership of assigned testing tasks and ensure quality deliverables.
- Demonstrate a growing quality mindset by questioning requirements and identifying gaps.
- Collaborate effectively with team members across QA, development, and product.
- Share learnings in: Automation, AI tools, Testing practices.
- Surface risks, blockers, and concerns early.
- Communicate progress, issues, and test outcomes clearly.
- Seek continuous improvement through learning and adoption of AI-driven practices.
Qualifications & Experience
- Typically 6+ years QA with automation & performance testing skills, strong QA methodology understanding.
- Bachelor’s degree in Engineering/Computer Science or equivalent experience.
- Strong understanding of: QA fundamentals, Software development lifecycle.
- Demonstrated quality mindset with attention to detail and curiosity.
- Hands-on experience with
test automation (intermediate level).
- Experience in using AI tools for testing.
- Strong analytical and problem-solving skills.
- Good communication and collaboration abilities.
- Eagerness to learn and adapt to evolving AI-enabled QA practices.
Skills
- test automation tools: Playwright, Cypress, Selenium, Maestro (LMA)
- Understanding of: API testing, CI/CD pipelines.
- Familiarity with AI-assisted tools for development/testing: Copilot, ChatGPT (or similar).
- Ability to: Write and execute automated tests, Review AI-generated test scenarios with guidance.
- Knowledge of: REST APIs, SQL/data validation.
- Proficiency in: Logging, monitoring, and debugging, Performance and Security testing concepts Cloud fundamentals (AWS or similar) is a plus.
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