QA Engineer

Pioneer Services; Hong Kong; On-site; HKD 420,000 - 660,000; Full time

Job summary

Pioneer Services in Hong Kong is seeking a QA/Dev-in-Test professional to own the full testing and release lifecycle, integrating AI-driven testing. The role focuses on analyzing requirements, designing tests, tracking defects, and verifying releases while expanding AI-enabled pipelines.

Ideal candidates have 3–7 years in Internet/Fintech QA, strong problem-solving, and hands-on experience with multiple programming languages. A proactive, learning mindset is essential.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• Proficiency in Go, Rust, Python or Java.
• 3 to 7 years of QA or Dev-in-Test experience in Internet/Fintech.
• Understanding of Function, Performance, Stability, and Chaos Testing.
• Strong problem-solving skills and ability to resolve complex issues.
• Self-driven with urgency and willingness to learn and grow.

Responsibilities

• Own the full software testing and release lifecycle, from analysis to verification, with AI-driven testing.
• Maintain and evolve AI skill/agent pipelines to reduce defects and broaden adoption.

Skills

Programming languages (Go/Rust/Python/

Education

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

Job description

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.