Chain QA Engineer

About the Role

Injective Labs is looking for a Chain QA Engineer who’s excited to work at the heart of blockchain innovation.

In this role, you’ll be deeply involved in both writing automation and testing new features across Injective’s layer-1 chain. You’ll contribute to our Python-based automation framework and dig into Go code to trace bugs, understand behavior and suggest direct improvements and fixes.

You’ll work closely with chain engineers, DevOps, and dApp QA teams to ensure Injective’s chain stays secure, fast, and reliable — and ready for whatever comes next.

If you thrive in low-level systems testing, love catching edge cases before they become bugs, and want your work to directly impact the evolution of a major Web3 platform — this is the role for you.

Responsibilities: 

Design and execute test plans for new chain features, upgrades, and module changes

Read and debug Go code to understand changes, trace issues, or suggest improvements

Contribute to and expand our Python-based automation framework for chain-level testing

Run regression, smoke, and edge-case testing before chain upgrades and releases

Collaborate with dApp QA teams to ensure downstream products stability

Document test results, issues, and edge cases in a clear, maintainable way

Participate in Agile planning and represent QA in sprint discussions and release readiness

Think critically and take initiative to improve the chain’s quality — going beyond scripted tasks to identify risks, suggest improvements, and challenge assumptions

Qualification:

4+ years of experience in QA or SDET roles

2+ years of hands-on blockchain testing — ideally with Cosmos SDK or other L1/L2 networks

Strong Go and Python skills — must be able to write tests and debug core chain logic

Experience validating systems via CLI, RPC, and transaction-level flows

Solid understanding of the crypto ecosystem — including staking, governance, validators, and decentralized protocols

Strong QA mindset — able to think critically, anticipate edge cases, challenge assumptions, and prioritize risk effectively

Passion for clean, reliable systems — and a curiosity to deeply understand how they work, evolve, and can fail

Comfortable working independently, taking ownership, and seeing tasks through