Avenue Code is the leading software consultancy focused on delivering end-to-end development solutions for digital transformation across every vertical. We’re privately held, profitable, and have been on a solid growth trajectory since day one. We care deeply about our clients, our partners, and our people. We prefer the word ‘partner’ over ‘vendor’, and our investment in professional relationships is a reflection of that philosophy. We pride ourselves on our technical acumen, our collaborative problem-solving ability, and the warm professionalism of our teams.

Avenue Code has been believing in and promoting plurality actions for over 10 years, understanding that recognizing differences and fostering a safe environment, employment opportunities, representation, and support are the best ways to promote an increasingly equitable culture.

About the opportunity:

You are a forward-thinking engineer who views Artificial Intelligence as a partner in productivity. You are not just comfortable with code; you are skilled at leveraging AI to automate the mundane, solve complex debugging puzzles, and accelerate the delivery of life-saving software.

Responsibilities

- Implement and maintain an end-to-end automation test framework for running UI integration tests and quality dashboards using various tools: Java, TypeScript, Cypress, Playwright, Cucumber, Junit.

- Leverage AI-assisted coding tools (e.g., GitHub Copilot, Cursor) to rapidly bootstrap test suites, refactor legacy test code, and generate comprehensive documentation.

- Implement automated API testing using tools such as REST Assured.

- Work closely with the development team to improve unit test coverage, frameworks, and productivity tools, utilizing LLMs to identify edge cases and boundary conditions that traditional manual analysis might miss.

- Participate in requirements, architecture, and design specification reviews.

- Perform peer code reviews, using AI to assist in identifying security vulnerabilities and architectural inconsistencies.

- Use defect management tools such as JIRA, XRAY.

- Use the GIT source code management system and optimize CI/CD workflows using AI-driven insights for flaky test detection and build optimization.

- Develop and maintain Github actions CI/CD pipeline.

- Develop Load and Performance tests using tools such as JMeter and K6.

- Follow scaled agile software development process.

Requirements

- B.S. or M.S. in Computer Science or equivalent field.

- 3-5 years of experience in software development in test / software test engineering.

- Experience in Software Development in Test and proficiency in Behavioral Driven Development.

- Proficiency in Java, TypeScript, Cypress, Playwright, Cucumber, Junit.

- Demonstrated competency in AI-augmented development; ability to write effective prompts for code generation, debugging, and test data synthesis.

- Experience in API and UI test automation.

- Experience in using Agile SW development tools.

- Basic knowledge of microservice architecture, AWS services, Docker, CI/CD, Linux & Shell scripting.

- Hands-on experience in accelerating testing development and maintenance using AI tools such as Github Copilot, OpenAI API integrations, or similar LLM-based productivity suites.

Nice to have

- Experience in infrastructure and framework testing.

- Experience with testing bioinformatics software.

- Experience building or fine-tuning custom AI agents or scripts to automate repetitive QA manual tasks or log analysis.

“Avenue Code discloses salary range information based on our commitment to fairness and transparency. We consider a wide range of factors such as internal equity, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, business or organizational needs, and others. At Avenue Code, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case.

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.