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About the Role
The Development Platform team at IMC Trading accelerates tech team workflows by providing self-service tools, services, documentation, and support. We design, build, and maintain the platforms essential for IMC's software development lifecycle, ensuring a consistent technical foundation and empowering efficient innovation. This role involves integrating AI SaaS offerings, managing containerization and virtualization layers for AI agents, and enhancing security for reliable and auditable AI operations.
Responsibilities
- Integrate, deploy, and operate AI SaaS offerings and self-hosted AI services, collaborating cross-functionally to deliver new tools and capabilities to tech teams.
- Design and maintain containerization and virtualization environments for AI agents, MCP servers, and supporting services, ensuring isolation, reproducibility, and scalability.
- Drive security hardening of AI agents and internal services, including secrets management, access controls, sandboxing, network policy, and auditability of agent actions.
- Write and maintain code to extend, integrate, and automate supported services, from API integrations to internal tooling and automation frameworks.
- Build telemetry, monitoring, and evaluation infrastructure for reliable, observable, and safe AI-driven workflows against production-critical systems.
- Partner with development teams to align platform capabilities with their evolving AI workflows.
- 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.
Requirements
- 3+ years of work experience in a relevant role
- 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; exposure to agentic AI tools and workflows or model-serving and evaluation infrastructure is a plus.
Skills
- Python
- Go
- Shell scripting
- Linux/Unix Systems
- Kubernetes
- Docker
- AWS cloud services
- Secrets management
- Sandboxing
- Compliance frameworks
- Disaster recovery planning
- High availability (HA) configurations
- Failover strategies
- CI/CD tools (Jenkins, GitLab CI, TeamCity)
- AI/LLM application patterns
- Agentic AI tools and workflows
- Model-serving infrastructure
- Evaluation infrastructure
Location
- Sydney
Work Type
- Full-time
Experience Level
- 3+ years
Education Level
- Bachelor's Degree in Computer Engineering, Computer Science or equivalent
About the Company
- IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone.
- Since 1989, IMC has been a stabilizing force in financial markets, providing essential liquidity.
- Our talented quant researchers, engineers, traders, and business operations professionals are united by a collaborative, high-performance culture and a commitment to giving back.
- We continuously innovate and collaborate to succeed by entering dynamic new markets, embracing disruptive technologies, developing an innovative research environment, and diversifying trading strategies.