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StockX is seeking a Software Development Engineer in Test (SDET) to join the Quality Engineering team in Bangalore. In this role, you will scale a reliable, efficient, and consistent automated testing ecosystem across engineering teams, focusing on enabling teams to execute, maintain, and improve automated testing rather than developing individual test cases.
Key Responsibilities:
Test Execution and Reliability: Manage automated test execution in the Lamdatest test environment, monitor test runs, and investigate recurring, intermittent, and flaky failures. Support regression, integration, end-to-end, and release validation activities. Improve test execution speed, stability, scalability, and maintainability while reducing test duplication and identifying opportunities to expand automation coverage.
Automation Platforms and Frameworks: Maintain, troubleshoot, and enhance existing automation frameworks. Integrate automated tests into shared execution workflows and CI/CD pipelines. Standardize framework usage, test tagging, test organization, and execution patterns. Improve test reporting, dashboards, notifications, and test health visibility. Maintain test environments, test data, configuration, dependencies, and execution infrastructure.
Cross-Functional Quality Engineering: Analyze failures across application, automation, environment, data, and infrastructure layers. Partner with developers and platform teams to identify root causes and implement solutions. Improve application testability and increase release confidence. Implement and maintain automated quality gates within CI/CD pipelines. Support post-release validation and investigations. Document setup procedures, execution workflows, troubleshooting steps, and operational guidelines. Enhance the quality engineering platform and developer experience through continuous process and tooling improvements.
About StockX: StockX is a Detroit-based technology leader focused on the online market for sneakers, apparel, accessories, electronics, collectibles, and trading cards. The platform connects buyers and sellers globally using dynamic pricing mechanics, providing real-time market data. StockX features hundreds of brands including Jordan Brand, adidas, Nike, Supreme, and major electronics manufacturers. Founded in 2016, the company employs 1,000 people across offices and verification centers worldwide.
Requirements:
- Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
- 4+ years of experience in SDET, test automation, quality engineering, or similar engineering role
- Strong programming skills in Java, JavaScript, TypeScript, or Python
- Hands-on experience maintaining and enhancing automated test frameworks
- Experience with UI automation tools (Playwright, Cypress, Selenium, WebdriverIO)
- Experience with API automation and validation (Postman, RestAssured, or similar)
- Experience managing automated test execution in shared or non-production environments
- Strong understanding of automation architecture, execution strategies, and failure analysis
- Familiarity with Git-based development workflows and CI/CD pipelines
- Experience implementing or supporting automated quality gates
- Strong troubleshooting skills across application, automation, environment, and infrastructure layers
- Ability to influence and support multiple engineering teams without directly owning their codebases
- Excellent communication, collaboration, and documentation skills
Preferred Qualifications:
- Experience with Playwright or other modern automation frameworks
- Experience managing automated test execution in centralized test environments
- Experience with CircleCI, GitHub Actions, Jenkins, Harness, or similar CI/CD platforms
- Experience with flaky test detection, retry strategies, parallel execution, and test reporting
- Exposure to AWS or other cloud platforms
- Understanding of microservices and distributed systems
- Experience with SQL and database validation
- Experience managing test data, service dependencies, environment configuration, or containerized execution
- Exposure to observability, logging, monitoring, and debugging tools
- Experience standardizing automation practices across multiple engineering teams
- Experience with AI-assisted testing tools and quality engineering practices
