Backend Engineer, Engineering Infra - AZPE (2027 Graduate)

Shopee; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Shopee is seeking a passionate engineer to design and develop Shopee Infrastructure Platforms used by millions of users worldwide. You will ensure production systems run reliably across campaigns and normal days, leveraging cloud-native stacks and ML technologies.

Collaborate with SREs and fellow engineers to improve delivery, reliability, and security through practices like TDD and chaos engineering. If you love building foundations for a fast-growing platform, this is a great place to

Qualifications

• Passionate about coding and solving challenging problems.
• Strong understanding of CS fundamentals (data structures, algorithms, OS, networks, databases, architecture).
• Hands-on experience with Go, Python, C++, or Java.

Responsibilities

• Design and develop Shopee Infrastructure Platforms to serve millions of users across the world, ensuring thousands of production systems run smoothly and reliably in our platforms, no matter big campaigns or normal days.
• Evolve Shopee infrastructures and empower businesses via Cloud Native technology stacks and Machine Learning technologies.
• Work closely with Site Reliability Engineers, Machine Reliability Engineers and other engineers to continuously improve the development, delivery efficiency and quality of applications via Shopee Infrastructure Platforms.
• Keep improving the Shopee Infrastructure Platforms' availability, stability, and security via systematic ways, such as TDD, Chaos Engineering, Reliability Engineering, Disaster Resilience, etc.

Skills

Go

Python

C++

Java

Job description

About The Team

Shopee will be prioritizing applicants who have a

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 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.

Job Description

• Design and develop Shopee Infrastructure Platforms to serve millions of users across the world, ensuring thousands of production systems run smoothly and reliably in our platforms, no matter big campaigns or normal days.
• Evolve Shopee infrastructures and empower businesses via Cloud Native technology stacks and Machine Learning technologies.
• Work closely with Site Reliability Engineers, Machine Reliability Engineers and other engineers to continuously improve the development, delivery efficiency and quality of applications via Shopee Infrastructure Platforms.
• Keep improving the Shopee Infrastructure Platforms' availability, stability, and security via systematic ways, such as TDD, Chaos Engineering, Reliability Engineering, Disaster Resilience, etc.

Requirements

• Passionate about coding and programming, innovation, and solving challenging problems.
• In-depth understanding of computer science fundamentals (data structures and algorithms, operating systems, networks, databases, software architecture, etc).
• Strong and hands-on experience with at least one of the programming languages: Go, Python, C++, Java.
• Strong logical thinking ability.

Skills Below Are Optional But Preferable

• Relevant internship experiences in the industry.
• Contributed to open-source projects.
• Experience with LLM and AIOps.
• Experience in Deep Learning and Reinforcement Learning Practice and Optimization.
• Published papers at conferences like ASPLOS, OSDI, SOSP, EuroSys, and etc.