Job Opportunities API

Dodge Construction Network (Dodge) is looking for an experienced QA Architect with a strong command of modern test automation frameworks, AI-assisted testing practices, and cloud-native quality engineering. This role requires the ability to define and govern an enterprise-wide quality strategy spanning functional, performance, security, and accessibility testing, while leveraging AI coding tools such as Claude Code, GitHub Copilot, and Cursor to accelerate test creation, maintenance, and coverage. The ideal candidate bridges the gap between engineering and quality, embedding testing excellence throughout the software development lifecycle.  This is a full-time position and reports directly to the VP, Data Innovation & AI. Preferred Location Qualified candidates should be based in or near Kochi and able to work from our Kochi office as part of a hybrid schedule.  Essential Functions  Test Automation Architecture  Design and implement scalable, maintainable test automation frameworks from the ground up across UI, API, and service layers Build and maintain automated test suites using modern tools including Playwright, Cypress, Selenium, WebdriverIO, and Appium for web and mobile testing Develop API test suites using Postman, RestAssured, Karate, or Supertest and integrate them into CI pipelines Apply test pyramid principles to balance unit, integration, contract (Pact), and end-to-end test coverage appropriately Architect data-driven, keyword-driven, and BDD (Cucumber/Gherkin) testing approaches tailored to team maturity and product complexity Implement test reporting and analytics solutions using Allure, ReportPortal, or custom dashboards to surface quality insights AI-Assisted Test Automation  Leverage AI coding tools such as Claude Code, GitHub Copilot, or Cursor to generate, refactor, and maintain automated test suites Use AI pair-programming tools to scaffold test cases directly from requirements, user stories, or API specifications Apply LLM-based tooling to identify test coverage gaps, surface edge cases, and improve assertion quality across test suites Integrate AI-powered testing platforms such as Testim, Mabl, or Applitools into CI/CD pipelines Craft effective prompt-engineering instructions to produce accurate, idiomatic test code in frameworks such as Playwright or Cypress Drive AI adoption across QA teams by coaching engineers on productive AI-assisted testing workflows Performance & Load Testing  Design and execute performance, load, stress, and soak tests using k6, Gatling, JMeter, or Locust Define performance SLAs and baselines and integrate performance tests into CI/CD pipelines for continuous validation Run distributed load generation and cloud-based performance testing on AWS, including services such as AWS Distributed Load Testing Analyse performance bottlenecks using APM tools such as Datadog, New Relic, Dynatrace, or AWS CloudWatch  Correlate backend traces, database query plans, and infrastructure metrics with performance test results to drive resolution Security & Accessibility Testing  Embed security testing into the SDLC using tools such as OWASP ZAP, Burp Suite, Snyk, or Checkmarx Write automated security regression tests targeting OWASP Top 10 vulnerabilities Integrate static application security testing (SAST) and dynamic application security testing (DAST) into CI pipelines Conduct and automate accessibility testing to WCAG 2.1 AA standards using tools such as Axe, Lighthouse, or Pa11y Implement dependency vulnerability scanning and software composition analysis (SCA) as part of standard build pipelines  Cloud, DevOps & CI/CD Integration  Utilize AWS services relevant to quality engineering, including CodePipeline, CodeBuild, ECS, Lambda, S3, and CloudWatch Synthetics Integrate automated test suites into CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, or AWS CodePipe