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Systems Engineer - AI Safety and Tooling

IMC Trading
🇦🇺SydneyMediorFull-timePosted August 26, 2026

About the Role

The Development Platform organization at IMC Trading is focused on accelerating tech team workflows by providing self-service tools, services, documentation, and support. You will be a versatile Systems Engineer building and operating the infrastructure behind IMC's AI-powered engineering initiative, integrating AI SaaS offerings, running containerization and virtualization layers for AI agents, and hardening security controls. Based in Sydney, you will serve as the local point of contact for global AI platform and infrastructure teams while supporting development teams who use these capabilities daily.

  • Integrate, deploy, and operate AI SaaS offerings and self-hosted AI services
  • Design and maintain containerization and virtualization environments for AI agents and supporting services
  • Drive security hardening of AI agents and internal services with secrets management, access controls, and auditability
  • Write and maintain code for service extensions, integrations, and automation frameworks
  • Build telemetry, monitoring, and evaluation infrastructure for reliable, observable, and safe AI-driven workflows
  • Partner with development teams and act as the regional point of contact for AI platform collaboration
  • Diagnose and resolve incidents swiftly in a follow-the-sun operational model

Requirements

  • 3+ years of work experience in a relevant role
  • Bachelor's Degree in Computer Engineering, Computer Science or equivalent
  • Strong programming experience in Python or Go; Shell scripting is a plus
  • Strong knowledge of Linux/Unix Systems
  • Hands-on experience with containerization and virtualization technologies, including Kubernetes and Docker
  • Experience integrating and operating third-party SaaS solutions, both on-premises and leveraging AWS cloud services
  • Understanding of security principles and best practices, including secrets management, sandboxing, and compliance frameworks
  • Experience designing disaster recovery plans, high availability (HA) configurations, and failover strategies
  • Experience with CI/CD tools such as Jenkins, GitLab CI, or TeamCity, including the automation of build, test, and deployment processes
  • Curiosity and eagerness to learn about AI/LLM application patterns, even if you haven't worked closely with them yet
  • Exposure to agentic AI tools and workflows (e.g., coding agents, MCP servers) or model-serving and evaluation infrastructure is a plus