Quality Assurance Automation Lead

Job Title :  QA Automation Lead (AI-Enabled Quality Engineering)

Location :  Kolkata, India (Hybrid)

Department :  Engineering / Product Quality

Role Overview

We are looking for a  QA Automation Lead  to architect, lead, and scale a high-performance QA team that combines  automation frameworks, AI-assisted testing, and modern DevOps pipelines .

This is a  hands-on leadership role  — you will design test strategies, mentor automation engineers, embed testing into CI / CD, and partner with developers, product managers, and AI architects to ensure quality at speed.

Key Responsibilities

Automation Architecture & Execution

Design and implement robust automation frameworks for web, mobile, and API layers using  Selenium / Playwright / Cypress / Appium / Postman / RestAssured .

Integrate test automation within  CI / CD pipelines (Azure DevOps / GitHub Actions / Jenkins)  ensuring zero-defect releases.

Champion  shift-left testing , enabling early defect detection and faster feedback loops.

AI-Driven Quality & Predictive Insights

Leverage  AI tools  (Testim.io, Mabl, Applitools, Functionize, or ChatGPT-based assistants) for intelligent test case generation, self-healing scripts, and anomaly detection.

Apply ML-driven analytics to predict high-risk areas, optimize regression suites, and reduce repetitive test maintenance.

Collaborate with InWork’s AI engineering teams to embed  LLM-based validation  into QA pipelines.

Leadership & Process Excellence

Lead and mentor a cross-functional QA team (manual + automation engineers).

Establish QA SOPs, KPIs (defect leakage %, coverage %, automation ROI), and performance dashboards.

Drive TDD / BDD adoption using tools like  Cucumber / PyTest / JUnit .

Enforce documentation discipline via  Swagger, Doxygen, Confluence, or ADO Wiki .

Partner with Product & DevOps to ensure QA alignment with sprint deliverables and release cadence.

Continuous Improvement

Evaluate and onboard modern QA technologies aligned with InWork’s digital transformation roadmap.

Define training roadmaps to upskill the QA team on new frameworks, AI QA assistants, and cloud-testing platforms.

Establish an internal  QA Center of Excellence (CoE)  focused on innovation and automation maturity.

Required Skills & Experience

Category

Skills / Tools / Experience

Core Experience

6–10 years in Quality Engineering with at least 3 years in Automation Leadership

Automation Frameworks

Selenium WebDriver, Playwright, Cypress, Appium, TestNG, PyTest, Cucumber

API & Performance Testing

Postman, RestAssured, JMeter, k6, or Locust

Programming

Proficient in Python / JavaScript / Java

DevOps Integration

CI / CD pipelines on Azure DevOps, GitHub Actions, or Jenkins

AI & Modern QA Tools

Familiarity with Testim.io, Functionize, Mabl, Applitools, or ChatGPT-based test generation

Version Control & Documentation

GitHub / GitLab, Jira / Azure DevOps, Confluence / SharePoint

Soft Skills

Excellent communication, client interaction, mentoring, and ownership mindset

Preferred Qualifications

Certification : ISTQB Advanced / Certified Test Automation Engineer.

Experience testing SaaS, ERP, or AI-based platforms.

Exposure to data validation, BI dashboards, and analytics QA.

Knowledge of containerized and microservices environments (Docker + Kubernetes).

Experience in performance benchmarking and load-testing large-scale apps.