QA Engineer

BNB Chain; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

BNB Chain is seeking a QA/Dev-in-Test engineer to own the full testing and release lifecycle, with testing increasingly driven by AI. You will maintain AI pipelines to steadily improve defect detection and promote automated, intelligent analysis across the team.

The role requires a strong programming background in Go/Rust/Python/Java, 3–7 years of QA experience in Internet/Fintech, and a Bachelor's degree in a related field. Singapore-based, on-site work environment.

Qualifications

• 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 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 urgency and willingness to learn and grow.
• Bonus: Familiarity with EVM-compatible blockchains, testing node clients or protocol components.
• Bonus: Hands-on AI/LLM in testing workflows.

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 AI skill/agent pipelines to improve defect detection and drive intelligent analysis and automation across the team.

Skills

Analytical thinking

Problem-solving

Self-driven

Education

Bachelor's degree in Computer Science/Software Engineering

Tools

Go

Rust

Python

Java

Job description

• 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.

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.