Platform & Distributed Systems Engineer — Scalable HPC

Tribus; Sydney; On-site; AUD 100,000 - 150,000; Full time

Job summary

Tribus in Sydney, Australia is seeking a Software Engineer – Platform & Distributed Systems across levels from Junior to Senior. You will help build and operate the runtime environments, distributed services, and tooling that enable researchers to deploy workloads at scale.

The role covers designing and deploying platforms, APIs, and self-service tooling; owning services end-to-end; collaborating with stakeholders; and improving reliability, scalability, and performance of compute workflows.

Qualifications

• Proficiency in Go, Python, or Java.
• Strong analytical and problem-solving skills.
• Experience with automated testing and CI/CD pipelines.
• Familiarity with Docker, Kubernetes, and Linux.
• Exposure to distributed computing and cloud-native design.
• DevOps mindset and ability to work across the full application lifecycle.

Responsibilities

• Design, build, and operate distributed services that manage compute workloads.
• Develop platform APIs and self-service tooling.
• Own services end-to-end: from design to production.
• Collaborate with internal stakeholders to translate needs into platform capabilities.
• Improve reliability, scalability, and performance of compute workloads.
• Build and support scheduling, resource management, observability, and security solutions.
• Balance trade-offs between latency, throughput, and maintainability.

Skills

Go

Python

Java

Docker

Kubernetes

Linux

CI/CD

Distributed systems

DevOps mindset

Cross-functional teams

Education

BS/MS in Computer Science

Tools

PyTorch

TensorFlow

Job description

Tribus in Sydney, Australia is seeking a Software Engineer – Platform & Distributed Systems across levels from Junior to Senior. You will help build and operate the runtime environments, distributed services, and tooling that enable researchers to deploy workloads at scale.

The role covers designing and deploying platforms, APIs, and self-service tooling; owning services end-to-end; collaborating with stakeholders; and improving reliability, scalability, and performance of compute workflows.