Jobs Companies Moreton Capital Partners DevOps Engineer - Systematic Commodities Hedge Fund

Sobre este puesto de DevOps Engineer - Systematic Commodities Hedge Fund en Moreton Capital Partners

Moreton Capital Partners · Presencial · Mexico City, Mexico City, Mexico

DevOps / Cloud Engineer – Systematic Commodities Hedge Fund

Moreton Capital Partners (MCP) is a CFTC regulated systematic, technology-first investment manager trading across commodities, alternative markets, and emerging data-rich asset classes. We combine quantitative modelling, agentic AI, and deep domain expertise to build strategies with durable, uncorrelated alpha.

Technology is central to how we operate. We are building and scaling infrastructure supporting trading, research, data, and internal systems, and are hiring a DevOps Engineer to help support and improve it.

About the Role

We are seeking a hands-on DevOps Engineer to work closely with the engineering team across cloud infrastructure, automation, deployment, monitoring, and production reliability.

Our stack includes AWS, Terraform, GitHub Actions, Docker, Aurora/PostgreSQL, Redis, Datadog, Airflow, and Python.

The role is ideal for someone with strong Linux and AWS fundamentals who enjoys troubleshooting systems, automating repetitive work, and improving how infrastructure is built and operated.

Cloud & Infrastructure

  • Build and maintain infrastructure across AWS, including ECS, EC2, S3, VPC, CloudFront, WAF, and ALB
  • Manage infrastructure using Terraform and Infrastructure as Code
  • Support Docker-based production and development environments
  • Help improve infrastructure reliability, security, and performance

Automation & Deployment

  • Build and maintain CI/CD workflows using GitHub Actions
  • Use Python and shell scripting to automate operational and infrastructure tasks
  • Support deployment processes and troubleshoot application and infrastructure issues
  • Help improve engineering workflows and reduce manual processes

Monitoring & Data Infrastructure

  • Monitor applications and infrastructure using Datadog
  • Support Aurora/PostgreSQL, Redis, and Airflow environments
  • Help improve logging, monitoring, alerting, and production visibility
  • Investigate infrastructure and application issues across Linux, networking, databases, and AWS

Requirements

  • Strong knowledge of AWS
  • Strong Linux skills
  • Experience with Terraform and Infrastructure as Code
  • Strong Python scripting skills
  • Experience with Docker
  • Understanding of CI/CD and GitHub Actions
  • Good networking fundamentals
  • Familiarity with PostgreSQL and Redis
  • Strong troubleshooting and problem-solving skills

Preferred Qualifications

  • AWS certification
  • Experience with ECS, EC2, CloudFront, WAF, and ALB
  • Familiarity with Datadog and Apache Airflow
  • Experience using AI coding tools such as Claude Code, Codex, or similar tools in an engineering workflow
  • Claude / Anthropic training or certification
  • Interest in financial markets, trading systems, or fintech

Who Thrives Here

The best candidates are curious, resourceful, technically strong, and comfortable taking ownership.

They enjoy understanding why systems fail, automating repetitive work, learning quickly, and working across different parts of the infrastructure stack.

This role is particularly well suited to someone who wants broad exposure to cloud infrastructure and production systems within a small, fast-moving engineering team.

How to Apply

Submit your CV and a short covering note explaining your interest in the role.

Applications are reviewed on a rolling basis. Strong candidates will have an initial conversation with the MCP team, followed by a technical discussion about their experience, technical fundamentals, and working style.

Benefits

  • Competitive compensation and market-leading benefits
  • Significant exposure to production infrastructure and engineering systems
  • Career development opportunities as the firm continues to grow
  • Positive, collaborative, and high-performance work environment
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