
QA Engineer
Posted Oct 31

Posted Oct 31
This is a fully remote position, open to applicants in Brazil.
• 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.
• 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.
• Work From Home
• Training & Development
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