jobs in TRIBUS

全职 Platform Engineer 工作, 薪水, TRIBUS Hong Kong 公司招聘中 - Ricebowl

Platform Engineer

TRIBUS

全职

Hong Kong

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工作地点

  • Hong Kong Hong Kong

职位描述

岗位职责

Platform Engineer – Distributed Systems / HPC

Role Summary

Join a global, technology-driven organisation as a Platform Engineer, designing and building distributed systems that power large-scale computational research infrastructure.

The role sits at the intersection of distributed systems, platform engineering, and high-performance computing (HPC) , working on foundational services used by highly technical research and engineering teams.

Company Overview

A global technology-led organisation operating large-scale, data-intensive and computationally demanding systems. Engineering is central to the business, with significant investment in distributed computing, research infrastructure, and high-performance platforms.

Team

You will join a specialist platform engineering team responsible for building the infrastructure and services underpinning large-scale computational research.

Key Responsibilities

  • Design, build, and operate distributed services managing compute workloads and data access across large-scale infrastructure
  • Develop platform APIs and tooling to improve researcher and developer productivity
  • Improve the reliability, scalability, and performance of compute-intensive workflows
  • Build solutions across workload orchestration, resource management, observability, and security
  • Translate complex research and infrastructure requirements into scalable platform capabilities
  • Take end-to-end ownership from system design and implementation through to production operation

Required Experience

  • 8-12+ years building and operating large-scale distributed systems in production
  • Strong programming skills in C++, Java, Rust, Go , or similar systems languages
  • Strong understanding of distributed systems, concurrency, performance, reliability, and fault tolerance
  • Experience designing platforms, services, or infrastructure used by other engineers
  • Degree in Computer Science or a related technical discipline, or equivalent practical experience

Desirable Experience

  • Internal developer platforms, cloud infrastructure, orchestration systems, or HPC
  • GPU-accelerated computing and/or ML infrastructure
  • PyTorch, TensorFlow, or similar frameworks
  • Experience supporting researchers, data scientists, or highly technical engineering users
  • Large-scale, data-intensive or performance-sensitive environments

Why Join

  • Solve complex distributed systems and infrastructure problems at significant scale
  • Build platforms that directly accelerate computational research
  • Work on challenging problems across HPC, distributed computing, orchestration, and platform engineering
  • High degree of technical ownership and autonomy

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