Staff Backend Engineer

APPLOVIN (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading social technology company in Singapore is seeking a Backend Engineer to design and build scalable systems for their next-generation social platform. This role involves architecting core services, developing data infrastructure, and ensuring platform integrity. The ideal candidate has 1-3 years of backend development experience, a Bachelor's degree in Computer Science, and proficiency in languages like Go, Java, or Python. This position offers a unique opportunity to shape the future of social connectivity.

Qualifications

• 1-3 years of backend development experience with distributed systems.
• Deep proficiency in at least one backend language and ecosystems.
• Experience with cloud platforms and container technologies.

Responsibilities

• Architect and develop backend services and APIs for content delivery.
• Build scalable systems for media processing and content distribution.
• Implement safety mechanisms to maintain platform integrity.

Skills

Backend development expertise

Proficiency in Go, Java, or Python

Experience with relational and NoSQL databases

Strong problem-solving skills

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

GCP

Azure

Job description

At AppLovin, we're pioneering the future of social connectivity by building a next-generation platform that redefines how people create, share and engage with content. This new venture represents a unique opportunity to architect the foundational systems that will power immersive social experiences for millions of users. Combining the innovation of a startup with the scale of an industry leader, we're assembling an exceptional technical team to bring this vision to life from the ground up.

A Day in the Life

As a founding Backend Engineer for this venture, you will architect the digital backbone of our next-generation social platform. You'll design and build robust, scalable systems that power everything from seamless media delivery and real-time social interactions to our intelligent content discovery engine. Your day might involve optimizing database queries to handle millions of concurrent content requests, designing new APIs for real-time engagement features, and implementing sophisticated services for content ecosystem management. You won't just write code - you'll make critical architectural decisions that form the foundation of our product, working directly with product managers and AI engineers to transform ambitious ideas into technical reality.

The Impact You'll Make

• Design and Build Core Services: Architect and develop our fundamental backend services and APIs that support content delivery, user interactions, and creator capabilities
• Develop Scalable Systems: Build and optimize large-scale distributed systems for media processing, storage, and content distribution
• Architect Data Infrastructure: Design our data infrastructure to support real-time analytics and empower machine learning recommendation systems
• Ensure Platform Integrity: Implement robust content ecosystem and safety mechanisms to maintain platform health and user trust
• Enable Real-time Engagement: Create scalable real-time services for social features including messaging, notifications, and live interactions

Who You Are

• Bachelor's degree in Computer Science or related field, or equivalent practical experience
• 1-3 years of backend development experience with demonstrated expertise in building distributed systems
• Deep proficiency in at least one backend language (Go, Java, Python) and their ecosystems
• Strong experience with relational and NoSQL databases, message queues, and caching systems
• Proven track record of designing, building, and scaling high-traffic backend services
• Solid understanding of system design, data structures, and algorithms
• Experience with cloud platforms (AWS, GCP, or Azure) and container technologies
• Strong problem-solving skills and ability to excel in a fast-paced startup environment

Bonus Qualifications

• Experience with media streaming protocols and processing pipelines
• Knowledge of recommendation systems or machine learning infrastructure
• Background in real-time communication technologies
• Previous work on social platforms or content-driven products