Chịu trách nhiệm QA cấp chuyên gia cho nền tảng AI Security, đảm bảo độ tin cậy và đúng đắn của hệ thống phân tán.
Yêu cầu
7+ năm QA/QC hệ thống phức tạp, phân tán hoặc data-intensive
Kinh nghiệm thực tế E2E testing và điều tra sự cố production
Làm chủ Python để scripting, mô phỏng, validation
SQL mạnh cho validation dữ liệu và verification hệ thống
Hiểu sâu API, client-server, workflow hệ thống
Trách nhiệm
Dẫn dắt kiểm thử E2E cho hệ thống đa dịch vụ phức tạp
Điều tra sự cố production, tìm nguyên nhân gốc rễ liên dịch vụ
Xác thực hành vi, tính nhất quán và đầu ra của hệ thống AI
Áp dụng AI (Vibe Coding) để tăng tốc testing và phân tích log
Có thì tốt
Kinh nghiệm test automation, system reliability, AI-assisted testing
Làm việc sâu với log, dữ liệu vận hành, hành vi hệ thống thực
Tư duy hệ thống, data-driven, chủ động nhận diện rủi ro
Lương và phúc lợi
Làm việc trên AI Security & Cybersecurity quy mô lớn
Định hình chất lượng cho platform AI-driven
Cơ hội thành Technical Leader / Quality Architect
Tóm tắt bằng AI từ JD gốc, đọc JD gốc trước khi ứng tuyển.
We are looking for a QC Expert – Core AI Systems to take ownership of quality assurance at a deep technical level for a fast-evolving
**AI Security platform**
. This is not a traditional Tester role — it’s a hands-on, system-level leadership position focused on ensuring reliability, correctness, and resilience in a continuously changing environment powered by AI.
At VinSOC, you will work at the core of cybersecurity innovation, building and validating systems that protect large-scale digital ecosystems
**.**
**What You Will Do**
Lead End-to-End (E2E) testing across complex, distributed, multi-service systems
Actively participate in testing critical system flows and define testing strategies for new features or major changes
Investigate and troubleshoot production incidents, especially cross-service/system-level issues
Collaborate closely with Engineering & AI teams to identify root causes and prevent recurrence
Validate the behavior, consistency, and output of AI-driven systems, including detecting anomalies, regressions, and unexpected results
Apply AI tools (Vibe Coding) to accelerate testing, log analysis, and system investigation
Define best practices and elevate the team’s capability in system-level quality assurance
**What We Are Looking**
For
7+ years of experience
**in QA/QC for complex systems, distributed systems, or data-intensive platforms**
Strong hands-on experience
**in End-to-End testing & production incident investigation.**
Solid coding skills in Python (or equivalent) for scripting, simulation, and validation.
Strong SQL skills for data validation and system verification.
Deep understanding of API integration, client-server architecture, and system workflows.
Experience in test automation, system reliability, and AI-assisted testing workflows.
Ability to work deeply with logs, operational data, and real system behaviors.
**Mindset That Wins**
Here
Strong system thinking: able to see the full picture, not just individual components.
Comfortable operating in fast-paced and ambiguous environments where requirements and product specifications evolve rapidly.
Data-driven, analytical, and proactive in identifying risks to system stability.
High ownership, resilient under pressure, and capable of handling tight deadlines.
Curious and willing to continuously learn in AI/ML and Cybersecurity domains.
**Why You Should Join**
Work on cutting-edge AI Security & Cybersecurity systems at scale.
Shape how quality is defined in AI-driven platforms.
