Backend Engineer - Business Security Data Platform (2027 Graduate)

Department Engineering and Technology

LevelEntry Level

LocationSingapore

The Engineering and Technology team is at the core of the Shopee platform development. The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. Shopee's hyper-growing business scale has transformed most "innocent" problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do.

About the Team:

Shopee will be prioritizing applicants who have a current right to work in Singapore, and do not require Shopee sponsorship of a visa.

Kindly note that you can only be considered in one recruitment process at a time within Sea Group and will be considered for jobs in the order that you have applied.

The Business Security team is in charge of Shopee anti-fraud, including client security (e.g. device fingerprint), traffic security (e.g. anti-crawler, waf) and business security (e.g. promo/chargeback/spx/account fraud). The team is also in charge of Monee application security & daily security operation, and data security products and abilities (e.g. KMS and auditing) building.

Job Description:

Design and develop code based on business requirements

Support data calculation needs for intelligent risk decisions. Delivering high-quality and efficient data computing platforms and products

Participate in offline and real-time data development to support risk analysis, model training, and other risk-related data needs

Write clean, efficient, and maintainable code

Requirements:

Bachelor’s degree or above in Computer Science or a related field.

Solid foundation in computer science fundamentals (data structures, algorithms, operating systems, networking, etc.)

Proficient in at least one programming language such as Go, Java, or Python

Prior experience in big data platforms such as Hadoop, Flink, Spark, Hive, or HBase

Understanding of data warehousing concepts or relevant hands-on experience.

Understanding of database system principles and experience with database usage

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