QA Engineer

About Moralis

Moralis is redefining how businesses access blockchain data. Our APIs, streaming tools, and multi-chain integrations help developers and enterprises build Web3 applications faster, cheaper, and at scale. We’re a lean, global team with a big mission: to become the go-to data layer for the decentralized internet.

Role Overview

We’re looking for a QA Engineer who is passionate about APIs, data quality, and helping ensure our products are reliable, accurate, and scalable.

You will be responsible for testing and validating our APIs and data products, ensuring high-quality data and reliable performance for our customers. You’ll primarily work on our API products but will also support testing for streams and data-sharing products as needed.

This is a hands-on, primarily manual QA role with a strong focus on data quality and request/response validation, but with the opportunity to build automation frameworks over time - especially for data comparisons, shadow testing, and regression checks.

What You’ll Do

• Test and validate internal and external APIs, focusing on request/response structures, edge cases, and performance.
• Validate data quality across multiple products - including comparing our data with 3rd party sources to identify discrepancies.
• Investigate, reproduce, and document data issues raised by customers or internal teams.
• Develop test cases and test plans for new API endpoints and data features.
• Collaborate closely with developers, product managers, and data engineers to ensure a shared understanding of requirements and expected outputs.
• Drive improvements in QA processes, including planning for automated tests and data validation pipelines.
• Occasionally test other Moralis products like Streams or DataShare.

What We’re Looking For

• 2+ years in QA engineering, preferably with APIs or data-heavy products.
• Strong experience testing REST APIs.
• Ability to validate JSON responses, request payloads, and understand common data structures.
• Experience comparing and validating large datasets or outputs across systems.
• Excellent problem-solving and documentation skills.
• Strong attention to detail and data accuracy.

Nice-to-Have

• Experience automating API tests (Postman/Newman, Cypress, Playwright, Jest, or similar).
• Experience building scripts (Python, JavaScript, or similar) for automated data validation or shadow testing.
• Familiarity with blockchain data or Web3 APIs.
• Familiarity with CI/CD tools to integrate automated testing.
• Interest in leveraging AI tools and automation frameworks to improve test coverage, speed up validation, and catch issues earlier in the pipeline.

Who You Are

• Detail-oriented and passionate about data accuracy.
• Comfortable working remotely and asynchronously in a fast-paced environment.
• Proactive about improving QA processes and suggesting automation opportunities.
• Excited to work in the Web3/data space and learn new technologies.

What We Offer

• Base salary: $40,000–$60,000/year depending on experience and location.
• Equity: Stock options to share in the upside.
• Career path: Growth opportunities as we expand our QA and data engineering efforts.
• Culture: Remote-first, async-friendly, and product-led team distributed across Europe and beyond.

Location

Remote-first, Europe time zones preferred.