Systems Engineer - AI Safety and Tooling

Linuxconfig; Australia; On-site; AUD 140,000 - 200,000; Full time

Job summary

IMC Trading is seeking a systems engineer to build and operate the AI safety and tooling platform that powers our production-critical systems. You will integrate AI SaaS offerings, manage containerized environments, and harden security across agents and internal services.

You will work with global platform teams from Sydney, ensuring robust, observable, and scalable infrastructure while supporting development teams adopting AI workflows. A strong focus on automation and reliability is required.

Qualifications

• 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 configurations, and failover strategies.
• Experience with CI/CD tools such as Jenkins, GitLab CI, or TeamCity, including automation of build, test, and deployment processes.
• Curiosity about AI/LLM patterns and related toolings.

Responsibilities

• Integrate, deploy, and operate AI SaaS offerings and self-hosted AI services.
• Design and maintain containerization and virtualization environments for AI agents and related services.
• Drive security hardening of AI agents and internal services, including secrets management and access controls.
• Write and maintain code to extend, integrate, and automate services and tooling.
• Build telemetry, monitoring, and evaluation infrastructure for reliable, observable AI workflows.
• Collaborate with development teams to align platform capabilities with evolving AI workflows.
• Diagnose and resolve incidents with a follow-the-sun model to ensure continuity.

Skills

Python

Go

Linux/Unix

CI/CD

Security

Education

Bachelor's Degree in Computer Engineering or Computer Science

Tools

Kubernetes

Docker

Jenkins

GitLab CI

TeamCity

AWS

Job description

Systems Engineer - AI Safety and Tooling

Sydney, Australia

The Development Platform organization at IMC Trading is focused on accelerating tech team workflows by providing self-service tools, services, documentation, and support. We design, build, and maintain the platforms that IMC's software development lifecycle depends on, establishing a consistent technical foundation across regions and empowering teams to innovate efficiently.

IMC is embedding agentic AI directly into the developer workflow for our production-critical systems. The Development Platform team operates the infrastructure that makes this possible: the environments where AI agents run, the integrations that connect them to our systems, and the safety and security controls that keep them reliable and auditable.

We are seeking a versatile Systems Engineer to build and operate the infrastructure behind IMC's AI-powered engineering initiative. You will integrate AI SaaS offerings, run the containerization and virtualization layers that AI agents depend on, and harden the security of agents and the internal services they interact with. As AI adoption across our tech teams grows, so does the need for robust, secure, and observable infrastructure around it.

Based in Sydney, you will be the local point of contact for our global AI platform and infrastructure teams, collaborating closely with them while supporting the development teams who consume these capabilities every day.

Your Core Responsibilities:

• Integrate, deploy, and operate AI SaaS offerings and self-hosted AI services, collaborating cross-functionally to deliver new tools and capabilities to our tech teams.
• Design and maintain the containerization and virtualization environments in which AI agents, MCP servers, and supporting services run, ensuring they are isolated, reproducible, and scalable.
• Drive security hardening of AI agents and the internal services exposed to them: secrets management, access controls, sandboxing, network policy, and auditability of agent actions.
• Write and maintain code to extend, integrate, and automate the services we support, from API integrations to internal tooling and automation frameworks.
• Build the telemetry, monitoring, and evaluation infrastructure needed to make AI-driven workflows reliable, observable, and safe to run against production-critical systems.
• Partner with development teams to align platform capabilities with their evolving AI workflows, and act as the regional point of contact for global AI platform and infrastructure collaboration.
• Diagnose and resolve incidents swiftly, working with regional peers in a 'follow the sun' model to guarantee continuous system availability.

Your Skills and Experience:

• 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.

About Us

IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

IMC is an equal opportunity employer. IMC prohibits discrimination of any type and affords equal employment opportunities to applicants without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity and expression, national origin, age, disability, and/or any other categories protected by applicable local law. Completion of this section is voluntary and will not affect your opportunity for employment or the terms or conditions of your employment. If you require adjustments to your working arrangements or the recruitment process, please let us know when applying. The data collected from these questions will be stored separately from your individual application and will be kept confidential.