Senior QA Automation Engineer

Overview

We are seeking a QA Automation Engineer to own the quality engineering function end-to-end. In this role, you will be responsible for designing automation frameworks, setting standards, and embedding quality into every step of the development lifecycle. As a core member of the team, you will not be a seat at the back of the sprint, but will work closely with engineers, product, and design to ship reliable, production-grade Web3 experiences. Mesh is a global company with headquarters in San Francisco, California USA. This candidate will work closely with the Engineering and Product teams spread across North America, Europe and India.

What You'll Do

Architect, build, and maintain robust end-to-end test automation frameworks using tools like Playwright.

Design test strategies that cover the full stack: UI, API, smart contract interactions, and wallet flows

Write and maintain tests for Web3-specific user journeys including wallet connection, transaction signing, contract interactions, and on-chain state verification

Integrate automated test suites into CI/CD pipelines and own the health of those pipelines

Leverage AI-powered development tools (Copilot, Cursor, Claude, etc.) to accelerate test authoring and framework development, and bring strong opinions on how to do this well

Identify gaps in test coverage, prioritize ruthlessly, and drive continuous improvement

Champion quality culture across the engineering org

Stay ahead of the curve on new testing tools, frameworks, and Web3 ecosystem shifts

Who You Are

Automation Expertise

7+ years of experience in QA engineering with a strong focus on automation

Deep hands-on experience with Playwright and/or Cypress; familiarity with others (WebdriverIO, Selenium, Puppeteer) is a plus

Proficiency in at least one scripting/programming language (TypeScript, JavaScript, Python)

Experience designing and scaling test frameworks from the ground up, not just maintaining existing ones

Strong understanding of CI/CD practices and integrating tests into pipelines (GitHub Actions, CircleCI, etc.)

Web3 Knowledge

Working knowledge of core Web3 concepts: wallets (MetaMask, WalletConnect), transaction signing, smart contracts, gas, RPC endpoints, and on-chain/off-chain interactions

Experience testing dApps and writing tests that interact with or simulate blockchain state

Familiarity with testnets or mocking Web3 providers is a strong plus

AI-First Mindset

Active, hands-on user of AI code generation and developer tools (e.g., GitHub Copilot, Cursor, Claude, ChatGPT)

You have real opinions on where these tools shine and where they fall short - you've found the edges

You use AI to move faster without sacrificing rigor, and you can teach others to do the same

The Right Mentality

Self-starter who identifies problems and drives solutions without waiting to be asked

Comfortable with ambiguity and able to operate effectively in a fast-paced, resource-constrained startup environment

Curious by default, you read release notes, follow ecosystem developments, and enjoy going deep on new tools and technologies

Clear communicator who can translate quality risk into terms the whole team understands

Nice to Have

Prior experience at an early-stage or growth-stage startup

Exposure to performance, load, or security testing in Web3 contexts

Contributions to open-source testing tools or frameworks

Familiarity with blockchain explorers, event indexing, or subgraph testing

The annual base salary range for this role is $100,000-$200,000 in San Francisco and New York. The compensation range provided may span multiple career levels and will be narrowed during the interview process based on factors including a candidate’s experience, skills, qualifications, and geographic location. For candidates outside of San Francisco and New York, compensation will be adjusted to reflect the applicable market and location-based pay band. The base salary range listed excludes commission (if applicable), equity, and benefits. The pay range represents the minimum and maximum target for new-hire compensation. Actual compensation may vary and may be higher or lower depending on individual circumstances.