Are you ready to redefine the standard for quality engineering? We are seeking a Senior Automation Engineer who views automation as an art form. In this role, you won't just write scripts; you will architect intelligent testing ecosystems. By championing Behaviour-Driven Development (BDD) and harnessing the power of AI coding agents, you will lead the charge in building resilient, high-performance systems. If you are passionate about treating quality as a discipline of craftsmanship and enjoy building "systems that test systems," this is the place for you.
Job Location
Whitefield, Bengaluru.
Design, build, and maintain robust, scalable UI and API automation frameworks using Selenium, WebdriverIO (WDIO) and Playwright with Java, JavaScript/TypeScript.
Practice and champion Behaviour-Driven Development (BDD), writing tests before implementation to drive design decisions and improve code quality across the automation codebase.
Use AI coding agents (e.g., Claude Code, GitHub Copilot, Cursor, or similar) as a core part of the daily engineering workflow — for scaffolding test suites, refactoring framework code, generating test data, debugging flaky tests, and accelerating framework upgrades.
Design and execute performance and load testing strategies, with capabilities in Gatling and Karate (preferred); NeoLoad and LoadRunner are optional, to validate system behavior under realistic and peak-load conditions.
Collaborate with developers, product managers, and QA peers to embed automation and quality gates early in the SDLC (shift-left testing).
Build and maintain CI/CD integration for automated test suites (e.g., Jenkins, GitHub Actions, GitLab CI).
Contribute to or build AI Agentic Frameworks — automation or testing tools that leverage LLM-based agents to autonomously plan, execute, or validate test scenarios.
Analyze test results, identify flaky tests and root causes, and continuously improve framework reliability and execution speed.
Mentor junior automation engineers on coding standards, BDD practices, and effective use of AI-assisted development tools.
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Participate in code reviews with a strong focus on test design quality, maintainability, and framework architecture.
Document framework architecture, testing strategy, and performance benchmarks for cross-team visibility.
3–5 years of hands-on experience in test automation engineering.
Strong proficiency in Selenium, WebdriverIO (WDIO) and Playwright with Java, JavaScript/TypeScript.
Demonstrated experience practicing Behaviour-Driven Development (BDD) in real production codebases — not just familiarity with the concept.
Practical, day-to-day experience coding with AI agents — using LLM-based tools to write, refactor, debug, or generate code and tests.
Experience in performance/load testing, with capabilities in Gatling and Karate (preferred); NeoLoad and LoadRunner are optional.
Solid understanding of API testing (REST/GraphQL) and tools such as Postman or REST-assured.
Experience integrating automated test suites into CI/CD pipelines.
Strong grasp of software testing fundamentals: test strategy, test pyramid, BDD/Gherkin, page object model, and data-driven testing.
Proficiency with version control (Git) and collaborative development workflows.
Solid debugging skills across browsers, network layers, and asynchronous JavaScript/TypeScript code.
Experience building or contributing to AI Agentic Frameworks — e.g., multi-step autonomous test planning agents, self-healing test frameworks, or LLM-orchestrated QA pipelines (LangGraph, MCP-based tooling, or similar).
Exposure to Model Context Protocol (MCP) servers or tool-calling architectures for AI-driven automation.
Experience with mobile automation (Appium) alongside web automation.
Familiarity with cloud-based test execution grids (BrowserStack, Sauce Labs, LambdaTest).
Working knowledge of containerization (Docker) for test environment management.
Prior experience in an Agile/Scrum environment, contributing to Epics/User Stories with well-defined acceptance criteria.
Basic understanding of observability tools (Grafana, Kibana) for correlating performance test results with system metrics.
Retail industry background.
Good understanding of development activities in the following tech stacks: ReactJs + NextJs, NodeJS (Backend), Svelte/SvelteKit, Angular, iOS-Swift, Android Flutter, Universal App, Python, and Java (UC & VC).
A well-architected Selenium, WebdriverIO (WDIO) and Playwright automation framework that is fast, reliable, and easy to extend.
Meaningful reduction in manual regression effort through smart use of BDD and AI-assisted authoring.
Performance test suites that proactively catch bottlenecks before they reach production.
Active contribution to (or ownership of) an internal AI agentic tool that improves how the team tests software.
A visible shift in team practices toward AI-augmented, quality-first engineering.
About DECATHLON Digital
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