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 :We are looking for a Senior Data Engineer to lead the technical initiatives for AI Data Engineering, enabling scalable, high-performance data pipelines that power AI and machine learning applications. This role will focus on architecting, optimizing, and managing data infrastructure to support AI model training, feature engineering, and real-time inference. You will collaborate closely with AI/ML engineers, data scientists, and platform teams to build the next generation of AI-driven products.Lead AI Data Engineering initiatives by driving the design and development of robust data pipelines for AI/ML workloads, ensuring efficiency, scalability, and reliability.
Design and implement data architectures that support AI model training, including feature stores, vector databases, and real-time streaming solutions.
Develop high performance data pipelines that process structured, semi-structured, and unstructured data at scale, supporting the various AI applications
Implement best practices for data quality, lineage, security, and compliance for AI applications
Develop automated data workflows, integrate with DevOps, MLOps frameworks, and enable model reproducibility through efficient data management.
Continuously explore advancements in AI data engineering, including distributed computing, data mesh architectures, and next-gen storage solution that best fit the various AI initiatives
Work closely with data scientists and AI/ML engineers to optimize feature extraction, data labeling, and real-time inference pipelines
Hands on experience working with Vector/Graph;Neo4j
3+ years of experience in data engineering, working on AI/ML-driven data architectures
Ability to work in fast paced, high pressure, agile environment.
Ability and willingness to learn any new technologies and apply them at work in order to stay ahead.
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, container orchestration platforms like Kubernetes
Experience using orchestration tools like Airflow or Prefect, distributed computing framework like Spark or Dask, data transformation tool like Data Build Tool (DBT)
Excellent with various data processing techniques (both streaming and batch), managing and optimizing data storage (Data Lake, Lake House and Database, SQL, and NoSQL) is essential.
Experience in network infrastructure, real-time AI inferencing pipelines using event-driven architectures
Excellent problem-solving and analytical skills, with an understanding of Gen AI technologies and their applications
Excellent written and verbal communication skills for coordinating across teams.
Experience and Interest to keep up with the advancement in the Data Engineering Field
Education & Experience
Has a Bachelor’s or Master’s degree in computer science, Data Engineering, AI/ML, or a related field from an accredited institution
Travel Requirements
Role based in Singapore office and may require up to 1 travel trip per year
Are you game?
Skills Required
- 3+ years of experience in data engineering, working on AI/ML-driven data architectures
- Hands on experience working with Vector/Graph; Neo4j
- Strong in programming languages such as Python, SQL
- Experience in developing and deploying applications on cloud infrastructure such as AWS, Azure, or Google Cloud Platform
- Experience using orchestration tools like Airflow or Prefect
- Experience with distributed computing frameworks like Spark or Dask
- Excellent with various data processing techniques (streaming and batch)
- Bachelor's or Master's degree in computer science, Data Engineering, AI/ML, or a related field
Razer Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Razer and has not been reviewed or approved by Razer.
-
Healthcare Strength — Health coverage options include medical plan choices, dental, vision, HSA/FSA, and mental health/EAP, indicating solid core coverage. Global leave and healthcare frameworks are described, reinforcing consistency across locations.
-
Retirement Support — A 401(k) with company matching and immediate vesting in some cases supports long‑term savings. This adds tangible value to the core total rewards package.
-
Wellbeing & Lifestyle Benefits — Free in‑office lunches on several weekdays and notable employee discounts on company gear enhance day‑to‑day value. Volunteering time and donation matching further complement lifestyle and purpose‑oriented needs.
Razer Insights
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).
