Senior Linux Systems Engineer - Low-Latency & Automation

Akuna Capital Singapore Pte. Ltd.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

Akuna Capital Singapore Pte. Ltd. is seeking a Systems Engineer to own the Linux server platform health for a high-performance trading environment.

You will design, deploy, and maintain robust infrastructure, automate daily tasks with Python or Bash, and develop scripts to support trading operations. You will manage server infrastructure across data centres, monitor performance, and tune systems with minimal supervision while collaborating with global teams on Kubernetes, virtualization, and

Qualifications

• Experience with Linux-based server environments and high-availability Linux clustering.
• Hands-on experience automating tasks with Python or Bash.
• Experience deploying and managing services in Kubernetes (K8s).
• Familiarity with monitoring and alerting tools.
• Knowledge of CI/CD pipelines and infrastructure as code.

Responsibilities

• Design, deploy, and maintain Akuna's Linux server platform for trading systems.
• Automate routine software and hardware tasks and write reliable scripts.
• Manage server infrastructure across data centers and cloud regions.
• Monitor, analyze, and tune system performance with minimal supervision.
• Collaborate with global teams on virtualization, Kubernetes, and tooling.

Skills

Linux systems

Kubernetes (K8s)

Scripting (Python/Bash)

Automation tools

Monitoring tools

VMware/Virtualization

CI/CD tooling

PostgreSQL/MySQL

Education

Bachelors in Computer Science or related field

Tools

Kubernetes

VMware

Terraform

Ansible

Rundeck

Puppet

Foreman

Prometheus

Nagios

Icinga

Job description

Akuna Capital Singapore Pte. Ltd. is seeking a Systems Engineer to own the Linux server platform health for a high-performance trading environment.

You will design, deploy, and maintain robust infrastructure, automate daily tasks with Python or Bash, and develop scripts to support trading operations. You will manage server infrastructure across data centres, monitor performance, and tune systems with minimal supervision while collaborating with global teams on Kubernetes, virtualization, and