Smart Contract QA Engineer, Atlas Oracle

About the role

Testing governs quality for oracle smart contracts in blockchain systems. The role validates data infrastructure that decentralized applications depend on.

Software engineers turn product ideas into working code. Engineers work in small teams, review each other's work, and ship in small batches. Most teams follow agile practices such as sprints and daily standups. Engineers also write tests, fix bugs, and improve performance. The field values clear communication as much as technical skill. Engineers spend part of every week on planning, code review, and debugging, not just writing new code. The ability to explain a technical decision in plain words separates strong engineers from the rest.

Key facts

What you'll do

Testing frameworks exercise unit, integration, and end-to-end coverage for oracle smart contracts to confirm code correctness and resilience before mainnet deployment.

Test cases run price feeds and data retrieval scenarios to evaluate core security scenarios and confirm system robustness against attack vectors such as flash loans.

Vulnerability scanning and audit support integrate into development workflows with the engineering team to identify and address critical security risks prior to contract deployment.

Accuracy checks verify oracle node outputs, and benchmarks record performance under varied loads, while toolchains evolve by tracking methodologies aligned with blockchain testing standards.

Requirements

A degree in Computer Science, Software Engineering, or a related field is mandatory for this role, and foundational knowledge must cover data structures, algorithms, and secure coding practices.

Experience in smart contract testing or development spans 3+ years, with required proficiency including Solidity and mainstream testing frameworks such as Hardhat, Truffle, and Foundry.

Understanding of oracle designs like Chainlink and Band Protocol is necessary, and essential familiarity covers flash loan attacks, data tampering, and data manipulation risks for threat assessment.

Deep comprehension of core blockchain concepts, including consensus mechanisms, Gas optimization, and event logs, is required, with required tooling proficiency including Web3.js and Ethers.js for effective implementation.

Ability to develop automated testing scripts using JavaScript/TypeScript, Python, or similar languages is needed to build test suites, and logic must cover edge cases and failure modes for comprehensive validation.

Preferred background includes security testing or code audit experience, where identifying issues such as reentrancy and integer overflow strengthens contract reliability through mitigation methods.

Communication skills coordinate work with engineering partners, and adaptability to agile development environments aligns with sprint goals and evolving requirements.

Nice to have

Hands-on experience in oracle or decentralized data source projects demonstrates applied understanding of node networks, and exposure to real-world data pipelines adds context to testing scenarios.

Familiarity with zero-knowledge proofs or TEE environments supports privacy-focused oracle designs, and these concepts help evaluate secure data handling approaches.

Performance testing proficiency with tools such as K6 or Gatling serves high-load conditions, and on-chain monitoring tool development is valued for observability.

Open-source contributions to blockchain repositories or public testing case studies show practical engagement, and demonstrated portfolios help assess problem-solving approaches.

Practical notes

Typical interview steps

Hiring for engineering roles usually starts with a recruiter screen, followed by one or two technical rounds. Candidates often solve a coding problem, discuss past projects, and answer system design questions. Some loops include a take-home task. Final rounds typically cover team fit and give candidates a chance to ask questions. Interviewers look for how you break down an unfamiliar problem, not just whether you reach the answer. Practicing a few problems aloud and reviewing your own past projects are the best preparation.

Good to know

Roles of this type focus on automated validation and security in blockchain environments. Common tools include scripting languages, testing frameworks, and blockchain explorers. Strong attention to edge cases is typical for quality assurance in decentralized systems. This work supports reliable data flows for smart contracts and decentralized protocols.

About the company

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