SRE: Scale Data Infrastructure & Distributed Systems

Westbury Partners

Sydney

On-site

AUD 180,000 - 240,000

Full time

8 days ago

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Job summary

Westbury Partners is seeking a Site Reliability Engineer to support data infrastructure and distributed systems in a high-velocity environment in Sydney. You will operate large-scale platforms, implement automation, and drive reliability across multi-petabyte data workloads.

You will collaborate with traders, researchers and developers, applying Linux, Kubernetes and CI/CD best practices to improve uptime and performance.

Qualifications

Hands-on production operations experience with self-managed infrastructure.
Strong Linux fundamentals, including processes, filesystems, networking, memory and disk behaviour.
Experience operating at least one complex infrastructure platform deeply, particularly Kafka, HDFS or Kubernetes.
Experience with monitoring, alerting, incident response and production troubleshooting.
A track record of infrastructure automation and CI/CD.
Python experience, particularly for infrastructure tooling, deployment automation or operational workflows.
Experience with configuration management or infrastructure-as-code such as Ansible, Puppet or Terraform.
An appetite for understanding how complex systems work beneath the surface.
Strong communication skills and the confidence to work directly with technical users.
Curiosity, ownership and a willingness to develop breadth across a sophisticated data ecosystem.

Responsibilities

Operate and monitor distributed data platforms, including Kafka, HDFS, Dremio and in-house pipelines.
Build automation and CI/CD solutions for rapid infrastructure and software deployment.
Respond to incidents, participate in on-call rotations and engineer lasting improvements that prevent recurring failures.
Diagnose complex Linux, networking, storage, performance and infrastructure issues.
Plan and execute upgrades, migrations, capacity improvements and technology rollouts.
Work directly with traders, researchers and developers to troubleshoot problems and recommend effective data solutions.
Develop infrastructure tooling and automation using Python and configuration-management technologies.
Evaluate emerging technologies and introduce improvements to a continuously evolving data platform.
Collaborate with systems and network engineers and colleagues across international offices.