We are seeking a talented Software Engineer to join our team.
We are live trading across integral commodity futures, supported by an investment process rooted in machine learning.This is a broad engineering role and a unique opportunity to work directly with our global team, owning infrastructure that supports research, trading, and investment decision-making in a fast-moving, real-capital environment.Key ResponsibilitiesBuild and maintain data pipelines ingesting market and alternative datasets, from vendor feeds and price data to unstructured dataBuild backend services and APIs supporting internal applications and research workflowsDevelop internal systems for trading, portfolio management, P&L;, risk, research, and operationsDesign and maintain data models and warehouse infrastructure using SQL and SnowflakeIntegrate applications with internal systems, data providers, and third-party APIsBuild and improve LLM-based workflows, AI-enabled tools, agents, and structured data extractionDevelop data-quality checks, monitoring, and alerting to improve reliability and data integrityWork closely with Quant Researchers and the CIO to translate research and business requirements into production systemsImprove testing, documentation, code quality, and engineering practices across the teamRequirementsStrong Python and SQL skills; clean, testable code is a must.Experience with Pandas or Polars.Experience building APIs with FastAPI or similar Python frameworks.Good understanding of relational databases and data modeling.Experience Building Data Pipelines Or Other Data-intensive Applications.Comfortable with Git,



testing, debugging, and maintaining production code.Comfortable working across different parts of the stack and learning new technologies as needed.Self-starter with strong problem-solving skills, attention to detail, and the ability to work autonomously in a lean, high-ownership environment.Bachelor's degree in Computer Science, Computer Engineering, or another computationally intensive field.Bonus points forExperience with React, TypeScript, or other modern front-end technologiesExperience with Snowflake and Airflow or another orchestration frameworkFamiliarity with AWS, Docker, and CI/CDExperience with LLMs, agents, RAG, or AI APIsExperience with financial markets, commodities, systematic investing, or time-series dataBenefitsImpact from day one: Build mission-critical systems directly used by our investment and research teams.Direct exposure: Work alongside the CIO and Quant Researchers, with a direct line to decision-making and fast feedback on what you build.Broad ownership: Work across data, backend systems, internal applications, AI tooling, and trading infrastructure rather than being limited to one narrow area.Learning curve: Deep exposure to commodity markets, machine-learning research workflows, and institutional-grade trading systems.Growth trajectory: Clear path to increased scope, responsibility, and compensation as the fund scales.Attractive compensation: Highly competitive base salary and annual bonus that scales with the business.Positive, inclusive, and encouraging work environment.
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📌 Software Engineer - Systematic Commodities Hedge Fund (Xico)
🏢 Moreton Capital Partners
📍 Xico