About The Opportunity
At Avenue Code, we are passionate about transforming businesses through technology. We are a leading end-to-end development consultancy for digital transformation across various markets, growing sustainably since day one. We believe that great results are born from strong relationships. Our team combines technical expertise, collaboration, and a welcoming approach to work that makes all the difference.
We're looking for a Senior QA Engineer to join a product engineering team building modern, AI-powered applications in a cloud-native environment. In this role, you'll own test automation strategy end-to-end - from framework design and CI/CD integration to performance validation and AI feature testing. This is a hands-on, high-visibility position where quality engineering is treated as a first-class practice, with a real opportunity to shape how the team tests the next generation of AI-driven product features.
Responsibilities
- Design, build, and maintain end-to-end automated test frameworks covering web UI, API, and service-layer testing.
- Develop and maintain automated test suites using Selenium WebDriver, Playwright, or Cypress for functional and regression coverage, integrated into CI/CD pipelines (Azure DevOps, GitHub Actions, or Jenkins).
- Build and execute performance and load testing scenarios using JMeter, Gatling, or StressStimulus; analyze results and surface findings to engineering teams.
- Create and maintain API test automation using RestAssured, Postman/Newman, or Karate Framework.
- Define and own test strategies, test plans, and coverage matrices aligned to product requirements; champion quality metrics - including test coverage, defect escape rate, and automation ROI - and report to engineering leadership.
- Contribute to testing AI-powered features, verifying output correctness, flagging unexpected behaviours, and developing acceptance criteria for AI-generated content in collaboration with product and engineering teams.
- Apply AI-assisted tools such as GitHub Copilot to accelerate test script creation and reduce maintenance burden; stay current with emerging AI testing approaches and proactively share learnings with the team.
- Triage, reproduce, and document defects; analyze failure patterns and drive root-cause analysis on recurring quality issues.
- Mentor junior QE engineers on automation best practices, tooling, and quality-first mindset.
- Collaborate with development engineers during feature development to influence testability, design, and acceptance criteria.
Required Qualifications
- Strong hands-on expertise with Selenium WebDriver for web UI automation (Java or C# preferred).
- Solid experience with at least one modern UI automation framework: Playwright, Cypress, or TestCafe.
- Hands-on experience with performance and load testing tools: Apache JMeter, Gatling, StressStimulus, or k6.
- Experience with API test automation using RestAssured, Postman/Newman, Karate Framework, or equivalent.
- Proficiency in at least one programming or scripting language: Java, C#, Python, or JavaScript/TypeScript.
- Experience integrating automated test suites into CI/CD pipelines (Azure DevOps, GitHub Actions, or Jenkins).
- Solid understanding of the Software Testing Life Cycle (STLC), test design techniques, and defect management practices.
- Familiarity with Page Object Model (POM) or similar design patterns for test framework architecture.
- Exposure to testing AI or ML-powered application features, with awareness that AI outputs require validation approaches different from deterministic logic.
- Awareness of AI-assisted testing tools (e.g., GitHub Copilot, Testim, Mabl, or equivalent).
- Experience with test management tools (Azure Test Plans, Xray, TestRail, or JIRA).
- Experience with Git and version control practices for test code.
- Strong analytical, communication, and cross-functional collaboration skills.
- Advanced to Fluent English for daily collaboration with international teams.
Nice To Have Skills
- Experience with BDD frameworks: Cucumber, SpecFlow, or Behave.
- Familiarity with contract testing tools (Pact or Spring Cloud Contract).
- Experience testing microservices, event-driven systems, or cloud-native applications on Azure.
- Hands-on experience with AI-assisted test generation tools, even in personal or academic projects.
- Familiarity with Generative AI evaluation concepts (output scoring, semantic comparison) and interest in applying them in a QE context.
- Experience in retail or eCommerce quality engineering contexts.
- Experience with accessibility testing tools (Axe, WAVE, or equivalent).
- Familiarity with observability tools (Application Insights, Splunk) for test failure diagnostics.
- Exposure to visual regression testing tools (Percy or similar).
- Exposure to chaos engineering or resiliency testing methodologies.
Avenue Code reinforces its commitment to privacy and to all the principles guaranteed by the most accurate global data protection laws, such as GDPR, LGPD, CCPA and CPRA. The Candidate data shared with Avenue Code will be kept confidential and will not be transmitted to disinterested third parties, nor will it be used for purposes other than the application for open positions. As a Consultancy company, Avenue Code may share your information with its clients and other Companies from the CompassUol Group to which Avenue Code's consultants are allocated to perform its services.