Platform Engineer — Systematic Commodities at Dymon Asia Capital – Singapore | Jobyssey

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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