QA Engineer

Posted Oct 31

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Take responsibility for quality assurance across the platform, including all solutions developed on it and testing practices.

• Utilize AI coding assistants to create, enhance, and maintain automated testing procedures.

• Develop agentic testing workflows that assess the platform and customer configurations.

• Address issues identified through agentic testing workflows.

• Transform recurring manual checks into automated processes.

• Set standards for the use of AI in testing, which encompass automation decisions, release documentation, and reviews of agent outputs.

• Formulate and implement test plans for new features and bug corrections.

• Conduct regression testing throughout various releases.

• Broaden automated test coverage within CI/CD environments.

• Track and report on application performance metrics.

• Investigate anomalies by analyzing logs, database information, and scripts.

• Test customer-specific solutions developed on the platform.

• Evaluate and report on customer usage, engagement levels, and feature adoption rates.

• Enhance quality control processes to ensure they can be replicated across different teams and customers.

• Collaborate closely with Engineering, DevOps, Customer Success, Product, and other cross-functional team members.


⛳️ Requirements

• 3–5 years of experience in software quality assurance, including test design and execution, systems analysis, and modern development tools.

• Practical experience in building and maintaining automated test suites.

• Hands-on experience with AI tools in professional settings, such as coding assistants, LLM-based test generation, or agentic workflows.

• A solid technical background, including the ability to write scripts and develop small tools.

• Proficient in reading logs and querying databases to troubleshoot reported issues.

• Familiarity with CI/CD pipelines, particularly Jenkins.

• A university degree in Computer Science, Software Engineering, Chemical Engineering, or a related field, or equivalent practical experience.

• Domain knowledge in chemistry, materials science, or software for manufacturing.

• Strong command of English, both written and spoken.

• Experience in constructing or operating agentic testing systems, or evaluating non-deterministic outputs.

• Familiarity with laboratory software such as ELN, LIMS, and SDMS.

• Background in performance or load testing.

• Experience with configurable or multi-tenant enterprise platforms.

• Creativity and an eagerness to explore new technologies.

• Sound judgment regarding when to rely on a tool versus when to verify its output.

• Persistence and a high level of technical expertise.

• Strong attention to detail and a sense of ownership over results.

• A passion for code quality and exceptional design.


🏝️ Benefits

• Work From Home

• Training & Development

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