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Location
Remote (Hong Kong, Singapore)
Seniority
Middle · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Jun 30, 2026.

Overview
Company
Impact
Profile match
Powered by Pioneer is a Web3-focused talent platform and recruitment service provider specializing in the blockchain and cryptocurrency ecosystem. The organization connects software engineers, infrastructure developers, and specialized digital talent with major Web3 projects and open-source blockchain networks, such as BNB Chain. Additionally, it provides bespoke software engineering support and IT consultancy services to help organizations build and scale decentralized digital infrastructure.

Responsibilities

  • Own the full software testing and release lifecycle -requirement analysis, risk assessment, test design and execution, defect tracking, and release verification-where testing is now largely driven by AI.

  • Maintain and evolve these AI skill/agent pipelines to continuously improve defect detection while preventing escaped defects, and drive broader adoption of intelligent analysis and workflow automation across the team.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, or related field

  • Proficiency in at least one programming language (Go/Rust/Python/Java)

  • 3 to 7 years of QA or Dev-in-Test experience in Internet/Fintech industry

  • Understanding of different testing categories: Function, Performance, Stability, and Chaos Engineering

  • Strong problem-solving skills with the ability to break down and resolve complex technical issues

  • Self-driven with a strong sense of urgency and commitment to learning and professional growth

  • [Bonus] Familiarity with EVM-compatible blockchains-including the execution model (EVM opcodes, gas metering, state transitions); transaction lifecycle (mempool, ordering, block inclusion, finality); and common failure and edge cases (chain reorgs, nonce/gas errors, consensus divergence, state-sync issues)-especially with hands-on experience testing node clients or protocol-level components.

  • [Bonus] Hands-on experience applying AI/LLM to testing workflows-prompt engineering, building or maintaining agent/skill pipelines, and evaluating AI-generated test artifacts.

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