Mid-Level Quality Engineer

Accountabilities: Own and continuously evolve the quality strategy for the webhook-based integration solution. Develop a deep understanding of the existing codebase, architecture, APIs, integrations, and business workflows. Design and execute functional, integration, API, regression, and end-to-end testing activities. Develop, maintain, and improve automated test suites across appropriate layers of the application. Validate webhook events, payloads, responses, retries, error handling, and failure scenarios. Test integrations between dependent systems and proactively identify potential integration risks. Validate authentication, authorization, permissions, and relevant security scenarios. Define quality gates and establish clear criteria for release readiness. Identify defects as early as possible and collaborate with engineering teams to diagnose and resolve issues. Conduct root-cause analysis and contribute to initiatives that improve overall product quality. Use AI-powered engineering capabilities to support test design, automation, codebase analysis, and quality improvement. Contribute to scalable quality practices and continuous improvements across the software development lifecycle. Requirements Professional experience in Quality Engineering, Software Testing, Test Automation, or a related discipline. Proficiency with test automation tools and frameworks. Practical knowledge of RESTful APIs and web technologies. Strong analytical and problem-solving skills, with a structured approach to identifying and investigating defects. Experience with scripting or programming languages such as Python or JavaScript. Understanding of CI/CD processes, pipelines, and related tools. Ability to work collaboratively with engineering and product teams throughout the development lifecycle. Strong attention to detail and a proactive mindset focused on preventing defects rather than identifying them only after release. Experience with cloud services such as AWS or Azure is a plus. Familiarity with Artificial Intelligence and Machine Learning concepts is desirable. Experience with performance testing tools is an advantage. Ability to perform root-cause analysis and communicate technical findings clearly to different stakeholders. Benefits Health and dental insurance. Meal and food allowances. Childcare assistance. Extended paternity leave. Partnerships with gyms and health and wellness professionals through Wellhub and TotalPass. Profit Sharing and Results Participation (PLR). Life insurance. Continuous learning opportunities through an internal learning platform. Discount club and partner benefits. Free online resources focused on physical, mental, and overall well-being. Pregnancy and responsible parenting programs. Partnerships with online learning platforms. Language learning platform. Remote work environment. Inclusion and accessibility support throughout the recruitment and employment journey. Access to health and well-being specialists, inclusion professionals, and affinity groups.