Software Engineer

Hace 17 horas

Mexico City Moreton Capital Partners Jornada completa

We are seeking a talented Software Engineer to join our team. We are live trading across global 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 Responsibilities

  • Build and maintain data pipelines ingesting market and alternative datasets, from vendor feeds and price data to unstructured data
  • Build backend services and APIs supporting internal applications and research workflows
  • Develop internal systems for trading, portfolio management, P&L, risk, research, and operations
  • Design and maintain data models and warehouse infrastructure using SQL and Snowflake
  • Integrate applications with internal systems, data providers, and third-party APIs
  • Build and improve LLM-based workflows, AI-enabled tools, agents, and structured data extraction
  • Develop data-quality checks, monitoring, and alerting to improve reliability and data integrity
  • Work closely with Quant Researchers and the CIO to translate research and business requirements into production systems
  • Improve testing, documentation, code quality, and engineering practices across the team

Requirements

  • Strong 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 for

  • Experience with React, TypeScript, or other modern front-end technologies
  • Experience with Snowflake and Airflow or another orchestration framework
  • Familiarity with AWS, Docker, and CI/CD
  • Experience with LLMs, agents, RAG, or AI APIs
  • Experience with financial markets, commodities, systematic investing, or time-series data

Benefits

  • Impact 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.