SRE - Data Infrastructure: Large-Scale Linux/Kafka Automation

Tribus; Sydney; On-site; AUD 150,000 - 210,000; Full time

Job summary

Tribus in Sydney is seeking a Site Reliability Engineer focused on data infrastructure. You will operate and improve a multi-petabyte environment powering millions of queries daily, spanning Linux, Kafka, HDFS, Kubernetes, and distributed query platforms.

The role emphasizes production reliability, monitoring, on-call rotation, and automation using Python. You will collaborate with traders, researchers, and developers to solve data infrastructure problems and to deploy robust, scalable systems.

Qualifications

• Hands-on Linux systems administration and troubleshooting experience.
• Experience owning production systems, including monitoring, incidents and on-call.
• Operator-side experience with Kafka, HDFS or Kubernetes.
• Python experience for infrastructure automation or operational tooling.
• Understanding of networking, storage, processes, memory and system performance.
• Experience with infrastructure automation, CI/CD or configuration management.

Responsibilities

• Operate and improve large-scale distributed data infrastructure.
• Work with technologies including Kafka, HDFS, Kubernetes and distributed query platforms.
• Own monitoring, alerting, incident response and production reliability.
• Automate infrastructure deployment, upgrades and operational processes using Python.
• Troubleshoot Linux, networking, storage and distributed systems issues.
• Improve capacity, resilience, failure handling and deployment processes.
• Work directly with traders, researchers and developers to solve data infrastructure problems.
• Participate in an on-call rotation and engineer out recurring issues.

Skills

Linux admin

Production systems

Kafka

HDFS

Kubernetes

Python

Networking

CI/CD

Tools

CI/CD tooling

Job description

Tribus in Sydney is seeking a Site Reliability Engineer focused on data infrastructure. You will operate and improve a multi-petabyte environment powering millions of queries daily, spanning Linux, Kafka, HDFS, Kubernetes, and distributed query platforms.

The role emphasizes production reliability, monitoring, on-call rotation, and automation using Python. You will collaborate with traders, researchers, and developers to solve data infrastructure problems and to deploy robust, scalable systems.