Senior QA Engineer (Upto 25 LPA)

Job Description

Senior QA Engineer

**Location:** Hybrid, Gujarat

**Experience:** Minimum 5 years

**Salary:** Up to ?25 LPA

Overview

We are seeking a **Senior QA Engineer** for a leadership-oriented quality engineering role. This position is not merely focused on hands-on testing but emphasizes driving QA strategy and fostering a culture of quality across our web and mobile platforms.

Key Responsibilities

* **Drive QA Strategy:** Lead the QA strategy and quality ownership across web and mobile platforms.
* **Team Leadership:** Mentor and grow a team of QA engineers, fostering a high-performance culture.
* **Modern Tool Adoption:** Spearhead QA-related Proofs of Concept (POCs) to evaluate and adopt modern tools, frameworks, and AI-driven practices.
* **Non-Functional Quality:** Strengthen non-functional quality aspects such as performance, load, and security.
* **Testing Frameworks:** Establish scalable, reusable, and intelligent testing frameworks.
* **Quality Culture:** Champion a quality-first culture and promote continuous improvement across the QA function.

Core Skills

* **Experience:** 5 years of QA experience with proven team management or QA leadership.
* **QA Strategy Ownership:** Demonstrated track record of owning QA strategy across projects, not just executing tests.
* **Technical Proficiency:** Advanced proficiency in Playwright (web) and Appium WebdriverIO (mobile) with JavaScript/Node.js and BDD.
* **Non-Functional Testing:** Hands-on experience with non-functional testing --- load, performance, and security.
* **CI/CD Integration:** Strong experience in CI/CD integration and the ability to set technical direction.
* **Stakeholder Communication:** Excellent communication skills, comfortable engaging with engineering leads, PMs, and clients.
* **SDLC \& STLC Understanding:** Deep understanding of the Software Development Life Cycle (SDLC), Software Testing Life Cycle (STLC), and Agile delivery methodologies.

Preferred Skills

* **AI-Driven QA Tooling:** Experience in introducing AI-driven QA tooling into a team and measuring its impact.
* **Security \& Performance Tools:** Hands-on experience with security testing tools (e.g., OWASP ZAP, Burp) and performance tools (e.g., k6, JMeter).
* **Consulting Delivery Background:** Background in client-facing or consulting delivery environments.
* **Database Testing:** Exposure to database testing and automation at scale.

Business Impact

* **Release Predictability:** Improve release predictability across client projects.
* **Defect Leakage Reduction:** Reduce defect leakage to production and lower post-release support load.
* **Faster Go-to-Market Cycles:** Enable faster go-to-market cycles through reliable, automated quality gates.
* **Client Confidence:** Strengthen client confidence and delivery quality on global engagements.

Success Outcomes

* A high-performing QA team operating with clear ownership and standards.
* A mature, low-flakiness automation footprint integrated into CI/CD.
* Demonstrable adoption of AI-assisted QA practices with measurable gains.
* Consistently high-quality, on-time releases across the projects you own.
* A visible quality-first culture across the teams you influence.