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Open nowPosted 98 days ago

Platform Engineer — Systematic Commodities

Dymon1 open role

Where
Singapore
Work mode
On site
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Your applicationOpen nowPlatform Engineer — Systematic CommoditiesDymon · Singapore

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  6. 45.1%60 days
This job: posted 98 days ago

The posting

Job description

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
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