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Alchemy Cloud

Cloud-based lab software with AI insights

QA Engineer

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeRemote in BrazilNo salary listed

About the Job

Requirements

  • Three to five years of professional experience in software quality assurance, covering test design and execution, systems analysis, and modern development tooling.
  • Hands-on experience building and maintaining automated test suites, not only executing manual test plans.
  • Practical experience using AI tools at work, such as coding assistants, large language model-based test generation, or agentic workflows, and a clear understanding of where they help and mislead.
  • A strong technical background, including writing scripts and building small tools, reading logs, and querying a database to investigate reported problems.
  • Familiarity with continuous integration and continuous delivery pipelines, such as Jenkins, and how automated tests fit into them.
  • A university degree in Computer Science, Software Engineering, Chemical Engineering, or a related subject, or equivalent practical experience.
  • Domain background in chemistry, materials science, or manufacturing software.
  • Excellent written and spoken English.

Responsibilities

  • Own quality across the platform, the solutions built on it, and the testing process.
  • Use AI coding assistants to write, extend, and maintain automated tests, review their output, and design agentic workflows that explore the platform and customer configurations and surface issues for triage.
  • Turn recurring manual checks into automation, starting with regression suites that take the team the most time.
  • Establish standards for AI use in testing, including deciding what to automate, what evidence a release needs, and how agent output is reviewed.
  • Create and execute test plans for new features, bug fixes, and customer-specific solutions, and run regression testing across releases.
  • Extend automated test coverage in continuous integration and continuous delivery to catch defects before release.
  • Monitor and report on application performance, and investigate anomalies using logs, database data, and scripts.
  • Understand customer configurations built on the platform and test applications delivered on top of them.
  • Analyze and report customer usage and engagement, and feature adoption by end users, and use those insights to prioritize testing coverage.
  • Drive continual improvement of quality control procedures so they can be replicated across teams and customers.

Desired Qualifications

  • Experience building or operating agentic testing systems, or evaluating non-deterministic output.
  • Experience working with laboratory software such as electronic laboratory notebooks, laboratory information management systems, and scientific data management systems.
  • Performance or load testing experience.
  • Experience with configurable or multi-tenant enterprise platforms where each customer's setup differs.

About the Company

Alchemy Cloud

Cloud-based lab software with AI insights

Alchemy Cloud provides integrated lab software for applied sciences, serving coatings, food, and beverage industries. Its platform helps product and technical teams streamline workflows, consolidate testing data, and accelerate product development by integrating with lab equipment and applying embedded AI that offers insights and recommendations. The model is subscription-based, with additional services for implementation and customization. Unlike general lab software, Alchemy targets the niche needs of applied sciences companies, offering flexible, customizable workflows and data-management with AI-driven guidance. The company’s goal is to help clients move from testing to faster, data-backed product development by improving data organization, collaboration, and decision-making across the lab.

Company size
11-50
Company stage
Early VC
Total funding
$7.3M
Headquarters
San Francisco, CA
Founded
2017

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