The Data team at Shopee consists of the Business Intelligence and Data Science teams. The Business Intelligence team plays a critical role in building Shopee’s data platforms and conducting business-related analysis to solve business-related issues. The Data Science team prides itself in using scientific methods and hacking skills to power key business processes and elevate the business model based on a deep understanding of Shopee’s business strategy. This includes machine learning, computer vision, natural language processing, and rules-based models.
Collaborate and engage with product developers throughout the whole development lifecycle – from consulting on system design through to deployment, operation and refinement.
Drive cross-team efforts to improve availability, reliability, and performance of services by influencing designs, architectures, standards, and methods.
Conduct service capacity planning and demand forecasting.
Build and operate systems that improve the availability, scalability, latency, and efficiency of services.
Maintain health of systems and services by implementing real-time monitoring, visualization, and alerting.
Solve problems relating to critical services and build automation to prevent problem recurrence.
Participate in periodic on-call rotation.
Bachelor’s degree in Computer Science or related technical disciplines, or equivalent practical experience.
Minimum 2 years of relevant working experience.
Experience in one or more programming languages including C, C++, Java, Python, Go, and shell scripting.
Knowledge and understanding of Unix/Linux operating systems and administration.
Knowledge and understanding of networking, such as different protocols (TCP/IP, UDP, ICMP), DNS, and OSI layers.
Knowledge and understanding of virtualization and container technologies.
Familiarity with maintaining web services at scale.
Expertise in designing, analyzing, and troubleshooting large-scale distributed systems.
Experience with Kubernetes, and advanced features including service mesh.
Experience with Google Cloud Platform or other public cloud.
Experiences in deployment, maintenance and tuning of commonly used middleware.
Experience with monitoring tools including Prometheus, Grafana, etc.
Experience with configuration management tools including Ansible, SaltStack, etc.
Experience with load balancing tools including Nginx, HAProxy, etc.