
51 - 200 employees
Founded 2017
☁️ SaaS
🤖 Artificial Intelligence
🔬 Science
💰 $3M Later Stage VC on 2022-08
SaaS • Artificial Intelligence • Science
Alchemy Cloud, Inc. is a provider of cloud-based lab automation and scientific AI software that enables fully digital labs for chemists, material scientists and technical teams. Their platform combines ELN, LIMS and PLM capabilities with tools like design of experiments, electronic lab notebooks, chemical drawing, and connected integrations to support R&D, product development, testing, quality control and commercialization across applied-science industries. Alchemy’s Scientific AI models analyze interconnected lab data to recommend formulations and predict technical and functional properties, helping customers accelerate innovation and reduce testing and development time.
🔥 16 minutes ago
🇧🇷 Brazil – Remote
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
🔧 QA Engineer (Quality Assurance)
👻 Ghost score 15%
Where this job comes from
Posted on Alchemy Cloud, Inc.'s careers page, not through a job board
First seen by Remote Rocketship 16 minutes ago

51 - 200 employees
Founded 2017
☁️ SaaS
🤖 Artificial Intelligence
🔬 Science
💰 $3M Later Stage VC on 2022-08
SaaS • Artificial Intelligence • Science
Alchemy Cloud, Inc. is a provider of cloud-based lab automation and scientific AI software that enables fully digital labs for chemists, material scientists and technical teams. Their platform combines ELN, LIMS and PLM capabilities with tools like design of experiments, electronic lab notebooks, chemical drawing, and connected integrations to support R&D, product development, testing, quality control and commercialization across applied-science industries. Alchemy’s Scientific AI models analyze interconnected lab data to recommend formulations and predict technical and functional properties, helping customers accelerate innovation and reduce testing and development time.
• Own quality across the platform, solutions built on it, and testing practices • Use AI coding assistants to write, extend, and maintain automated tests • Design agentic test workflows that explore the platform and customer configurations • Triage issues surfaced by agentic testing workflows • Convert recurring manual checks into automation • Establish standards for AI use in testing, including automation decisions, release evidence, and agent-output review • Create and execute test plans for new features and bug fixes • Run regression testing across releases • Extend automated test coverage in CI/CD • Monitor and report on application performance • Investigate anomalies using logs, database data, and scripts • Test customer-specific solutions built on the platform • Analyze and report on customer usage, engagement, and feature adoption • Improve quality-control procedures so they can be replicated across teams and customers • Collaborate with Engineering, DevOps, Customer Success, Product, and cross-functional teammates
• 3–5 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 • Practical experience using AI tools in work, including coding assistants, LLM-based test generation, or agentic workflows • Strong technical background, including writing scripts and building small tools • Comfortable reading logs and querying a database to investigate reported problems • Familiarity with CI/CD pipelines such as Jenkins • 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 English, written and spoken • Experience building or operating agentic testing systems, or evaluating non-deterministic output • Experience working with laboratory software such as ELN, LIMS, and SDMS • Performance or load testing experience • Experience with configurable or multi-tenant enterprise platforms • Creativity and willingness to explore new technologies • Judgment about when to trust a tool and when to verify it • Tenacity and technical expertise • Attention to detail and ownership of outcomes • Passion for code quality and great design
• Work From Home • Training & Development
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