Senior QA Architect

About this role

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 CodePipeline
Containerize test environments using Docker and orchestrate test runs in Kubernetes or AWS ECS
Manage environment provisioning and test data strategies, including data masking and synthetic data generation
Apply shift-left and shift-right testing practices, including production monitoring via synthetic tests and canary analysis
Execute cross-browser and cross-device testing using BrowserStack, Sauce Labs, or AWS Device Farm
Microservices & API Quality Engineering
Define and execute test strategies for microservices architectures, including contract testing, chaos engineering, and service virtualisation
Implement consumer-driven contract testing using Pact or Spring Cloud Contract to validate inter-service compatibility
Apply API mocking and service virtualisation tools such as WireMock, Hoverfly, or AWS API Gateway mock integrations
Design and execute testing patterns for event-driven architectures using SNS, SQS, Kafka, or EventBridge
Build resilience and chaos tests using tools such as AWS Fault Injection Simulator or Chaos Monkey to validate system durability
Leadership & Quality Strategy
Define and govern a quality strategy across multiple product teams, including test standards, tooling selection, and metrics frameworks
Lead and mentor QA engineers and SDETs across automated, manual, and exploratory testing disciplines
Track and present quality KPIs — including defect escape rate, test coverage, MTTR, and automation ROI — to senior stakeholder
Partner closely with solutions architects, product owners, and DevOps engineers to embed quality at every stage of the SDLC
Facilitate a shift-left culture through developer testability workshops, definition-of-done standards, and pair-testing practices
Operate effectively in agile environments (Scrum, SAFe, Kanban) using Jira, Confluence, and similar tooling
Education Requirement
Bachelor’s degree in a related field or equivalent education and work experience.
Required Experience, Knowledge and Skills
8+ years of experience in software quality engineering, with at least 3 years in a QA Architect, Principal SDET, or Test Lead role
Proven track…