Quality Test Engineer at LexisNexis Risk Solutions responsible for performance and automation testing. Collaborating across teams to ensure high-quality software delivery in Mumbai.
Responsibilities
Develop and execute automated and performance testing to deliver high-quality software products and services on time, within budget, and according to specifications.
Collaborate with Product Management, Project Management, Engineering, Operations, QA staff, technical leads, and subject matter experts to plan, coordinate, and execute testing activities.
Ensure testing aligns with agreed requirements and quality standards, conducting project reviews and implementing quality control procedures for deliverables.
Report testing results and issues, research and document root causes, and ensure corrective actions are implemented.
Identify opportunities to enhance testing capabilities by researching tools, applying automation solutions, and implementing cost-effective improvements.
Investigate and resolve performance issues in partnership with architects, developers, and infrastructure teams while maintaining awareness of industry trends and emerging technologies.
Contribute to continuous improvement initiatives, enhancing methodologies for test planning, execution, defect tracking, metrics reporting, and overall QA processes.
Maintain documentation and record retention frameworks to support audits, adapt to changing priorities, improve overall team capability and efficiency, and perform additional assigned duties as needed.
Requirements
4+ years of QA Test Engineering experience with a BS in Engineering/Computer Science or equivalent experience.
Strong understanding of QA methodologies and solid QA testing skills with high attention to detail.
Basic knowledge of Selenium WebDriver and Cucumber BDD; familiarity with the Karate Test Automation Framework is a plus.
Strong knowledge of API testing using Postman and experience with GitHub pipelines.
Proven ability to develop and execute automated and performance testing.
Strong knowledge of the software development lifecycle (SDLC) and process improvement practices, including continuous improvement implementation.
Strong project management skills with a basic understanding of working within budgets and awareness of industry trends.
Advanced written and verbal communication skills, strong research abilities (tools and root cause analysis), and effective oral and written communication skills.
Nice to have - Exposure to AWS or Azure environments, Familiarity with Large Language Models (LLMs) or AI-based applications
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