CTO - Chief Technology Officer

Manage Data & Engineering Team (max 10 members)
Responsible for big data collection (data spiders), big data storage and data ETL.
Responsible for optimizing Latency and Throughput of the company's internal/external production.
Responsible for architecture, system design, develop, deploy and maintain company production and services.
Stakeholders responsibility of E-commerce Big Data Platform for Metric.vn (Collect, Storage, Process & Analytics, ETL platform technology. Data size: +1TB daily incremental).
Coordinate with stakeholders (PO, Sale, Marketing) to clarify product features and plans.
Report to Head of Product (mainly) and CEO.

(Must have) Experts of Big Data collect using Reverse Engineering techniques.
Previous working experience as a CTO/ Head of Engineering for 3+ years.
Strong technical & algorithms background and experience in 5+ years large-scale big-data systems.
Long term passion of collecting, storage and organizing data and optimizing system performance.
Be an expert in the data domain (Big data Collect, Big Data Engineering, DevOps, Security, Web Backend) and implement new technologies that yield competitive advantage.
Strong familiarity with most of Clickhouse, PostgreSQL, FastAPI, Kafka, Docker, K8S (preferred language: Python, Java, Go).
Extremely patient and enjoyable on hard-core technical problems solving like security bypass, reversed engineering, core/lib hacking, principle engineering.
Experience with machine learning, scraping big-data is preferred but not required.
Teamwork & ownership mindset, good communication and training skills, self-motivation, accepting challenges.