Distributed Backend Game Systems Engineer (Go/K8s)

argus.gg; Indonesia; On-site; IDR 250,000,000 - 420,000,000; Full time

Job summary

argus.gg seeks a software engineer to build and maintain the core game technology infrastructure, serving as the backend for our game worlds. You will architect interoperable systems for games, marketplaces, and user-generated content, and collaborate with game designers and engineers to meet players’ needs.

You’ll improve performance, reliability, and scalability of our infrastructure while leveraging Go, Docker, and Kubernetes to ship production-grade code.

Qualifications

• Experience as a software engineer focused on distributed systems or backend.
• Strong understanding of distributed systems principles and algorithms.
• Proficiency in Go with prior experience shipping production‑grade code.
• Experience with container orchestration software (Docker, Kubernetes, etc.).
• Excellent problem‑solving and communication skills.
• Passion for games and game technology.

Responsibilities

• Develop and maintain the core game technology infrastructure that serves as the backend for our game worlds.
• Architect systems that allow games, marketplaces, and user-generated content/platforms to communicate and interoperate seamlessly.
• Work closely with game designers and other software engineers to ensure that our technology meets the needs of our games and players.
• Continuously improve and optimize the performance, reliability, and scalability of our infrastructure.

Skills

Distributed systems

Backend engineering

Go

Docker/Kubernetes

Problem-solving

Communication

Game tech passion

Tools

Docker

Kubernetes

Cosmos SDK

Job description

argus.gg seeks a software engineer to build and maintain the core game technology infrastructure, serving as the backend for our game worlds. You will architect interoperable systems for games, marketplaces, and user-generated content, and collaborate with game designers and engineers to meet players’ needs.

You’ll improve performance, reliability, and scalability of our infrastructure while leveraging Go, Docker, and Kubernetes to ship production-grade code.