Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.
Job Responsibilities :This role is required to design and build high volume backend data processing systems for Razer’s Artificial Intelligence (AI) gaming products. The intern is responsible for developing and implementing data pipelines, data storage systems, and backend application software, while working closely with frontend engineers, data scientists, and machine learning engineers to enable Gen AI capabilities.Essential Duties and Responsibilities
• Design and implement data systems that enable the organization to store, process, and analyze large volumes of data. This involves developing data pipelines, designing scalable data processing systems in support of Gen AI capabilities.
• Manage data lakes, knowledge bases, and application databases. This involves creating and managing table schemas, views, materialized views, including tokenization techniques for Gen AI.
• Develop and templatize data pipelines that enable high volume extract, transform, and load operations from various sources – particularly API-based or web-based data ingestion.
• Design, develop, and maintain highly performant, scalable, and robust backend systems and server side logic - including maintenance and optimization of backend infrastructure for changing product requirements.
• Collaborate with data scientists and machine learning engineers to understand the data needs of various stakeholders across the organization and integrate appropriate solutions.
Requirements
• Ability to work in fast paced, high pressure, agile environment.
• Ability and willingness to learn and apply new technologies
• Strong in programming languages such as Python, SQL.
• Experience in developing and deploying applications running on cloud infrastructure such as AWS, Azure or Google Cloud Platform using Infrastructure as code tools such as Terraform, containerization tools like Dockers.
• Familiarity with a wide variety and genres of video games and the gaming industry in general.
• Excellent with various data processing techniques (streaming, batch, event-based), managing and optimizing data storage (Data Lake, Vector Data Stores and Database, SQL, and NoSQL) is essential.
• Excellent problem-solving and analytical skills, with an understanding of Gen AI technologies and their applications
• Experience using orchestration tools like Airflow or Prefect is preferred
• Excellent written and verbal communication skills.
• Experience and Interest to keep up with the advancement in the AI/ Data Engineering Field
• Has a Bachelor's or Master’s degree in computer science or similar technical discipline.
Are you game?
Similar Jobs
What We Do
Razer™ is the world’s leading lifestyle brand for gamers.
The triple-headed snake trademark of Razer is one of the most recognized logos in the global gaming and esports communities.
With a fan base that spans every continent, the company has designed and built the world’s largest gamer-focused ecosystem of hardware, software and services.
Razer’s award-winning hardware includes high-performance gaming peripherals and Blade gaming laptops. Razer’s software platform, with over 70 million users, includes Razer Synapse (an Internet of Things platform), Razer Chroma™ (a proprietary RGB lighting technology system), and Razer Cortex (a game optimizer and launcher).
In services, Razer Gold is one of the world’s largest virtual credit services for gamers, and Razer Fintech is one of the largest online-to-offline digital payment networks in SE Asia.
Founded in 2005 and dual-headquartered in Irvine and Singapore, Razer has 18 offices worldwide and is recognized as the leading brand for gamers in the USA, Europe and China. Razer is listed on the Hong Kong Stock Exchange (Stock Code: 1337).








