Platform Engineer — Systematic Commodities

About the role
We are hiring a Platform Engineer to build and own the research platform behind a systematic commodities team: the software, data pipelines, and cloud infrastructure that carry strategies from data to research to live trading. The role is roughly 70% software development (applications, trading systems, data engineering) and 30% cloud and infrastructure. This is a high-trust, high-autonomy role reporting directly to the Portfolio Manager. The platform is currently cloud-based and expected to evolve, including toward hybrid on-premises capacity and intraday systems.

Responsibilities

• Maintain and improve the research platform: backtesting and simulation services, signal and portfolio pipelines, and the tooling researchers use daily
• Develop internal applications end-to-end, including risk, monitoring, and trading systems: services, APIs, and front ends
• Own data engineering end-to-end: model retrievals, exchange feeds, database loads, storage design, and the datasets research depends on
• Build continuous delivery and the path from research code to production, supporting the move from daily to intraday operation
• Own the cloud infrastructure: identity and access, networking, compute, storage, and cost
• Run the production platform: Linux fleet, containers, orchestration runtime, monitoring, alerting, and incident response
• Establish resilience and security foundations: disaster recovery, secrets, certificates, endpoint management, access reviews
• Support the evaluation and design of a hybrid extension with on-premises capacity

Requirements

• 5+ years in software or platform engineering, including sole or small-team ownership of production systems
• Strong Python as the primary development language, with software engineering fundamentals: design, testing, and the full development lifecycle from requirements to deployment
• Full-stack development experience: services, APIs, and front ends
• Data engineering in production: pipelines, storage design, and a workflow orchestrator (Prefect, Airflow, Dagster, or similar)
• Depth in a major cloud provider, ideally Azure; hybrid or on-premises experience
• Linux administration and production Docker experience
• Practical security engineering and networking fundamentals; experience running on-call for systems with strict deadlines and uptime requirements
• Ability to operate independently, with sound judgement on production change; an entrepreneurial self-starter who identifies and closes gaps unprompted

Preferred qualifications

• Experience at a trading firm or asset manager; exposure to research platforms or backtesting infrastructure
• Financial market or futures reference data
• Rust, particularly for performance-critical components
• Infrastructure as code (Pulumi or Terraform)
• macOS fleet management; SIEM experience