Site Reliability Engineer: Data Platform at Scale

Talenza; Sydney; On-site; AUD 120,000 - 180,000; Full time

Job summary

Global Trading Firm in Sydney seeks an experienced Site Reliability Engineer to join a high‑performing Data Engineering team. You will operate a multi‑petabyte data platform, ensuring reliability, scalability and efficient deployments.

You will work hands-on with Linux, Kafka, HDFS, Dremio and in-house tooling, focusing on operational excellence and automation. This role offers genuine ownership and growth in a distributed, production environment.

Qualifications

• 2–3 years in an SRE/platform/infrastructure/production engineering role.
• Strong Linux troubleshooting across processes, filesystems, networking and memory pressure.
• Hands-on operator experience with Kafka, HDFS or Kubernetes (deployed/configured/upgraded/tuned).
• Experience operating self-managed infrastructure (bare metal, data centre, self-run VMs or self-managed Kubernetes).
• Python experience for automation, health checks or deployment workflows.
• Exposure to Docker, Kubernetes, Helm and infrastructure-focused CI/CD.
• Curious, pragmatic mindset with interest in how complex systems behave under pressure.

Responsibilities

• Run, monitor and improve large-scale data platforms including Kafka, HDFS, Dremio and in-house pipelines.
• Troubleshoot production issues across Linux, storage, networking and distributed infrastructure.
• Build automation and CI/CD to speed up deployments and improve safety and repeatability.
• Support upgrades, capacity planning, incident response and long-term reliability improvements.
• Collaborate with systems and network engineers, developers, researchers and end users to solve platform problems.
• Evaluate and introduce new technologies as the environment evolves.

Skills

Linux troubleshooting

Python automation

Tools

Kafka

HDFS

Kubernetes

Docker

Helm

Terraform

Ansible

Puppet

Airflow

Presto

Dremio

Job description

Global Trading Firm in Sydney seeks an experienced Site Reliability Engineer to join a high‑performing Data Engineering team. You will operate a multi‑petabyte data platform, ensuring reliability, scalability and efficient deployments.

You will work hands-on with Linux, Kafka, HDFS, Dremio and in-house tooling, focusing on operational excellence and automation. This role offers genuine ownership and growth in a distributed, production environment.