Quantitative Developer | Trading Team (Python/C++)

Location: Singapore or Hong Kong

Company

hirify.global Group develops research-driven technologies and applies advanced mathematics, physics, and computer science to global financial markets.

What you will do

• Own live production operations for trading strategies, market connectivity, data availability, and scheduled optimizer runs.
• Manage monitoring systems, investigate failed jobs and error messages, identify root causes, and implement fixes.
• Improve pipeline reliability, efficiency, and performance, including optimizing ML models and GPU workloads.
• Contribute across research, software development, testing, deployment, rollouts, rollbacks, and system upgrades.
• Provide direct support to end users and operate production systems during trading hours when required.

Requirements

• 2–5+ years of experience in production engineering or trade support, with measurable impact from solving problems through code.
• Strong Python development skills as the primary language, plus C++, for building efficient, modular, and reliable systems.
• Strong Linux and Bash production engineering skills, including scripting, troubleshooting, monitoring, and operating real-time systems.
• Hands-on debugging skills and the ability to resolve underlying issues independently in high-stakes environments.
• Reliable availability and responsiveness during trading hours when needed.
• Ability to reason through quantitative problems and communicate effectively with quantitative researchers and engineers.

Nice to have

• Understanding of neural networks and experience optimizing ML or GPU workloads.
• Experience with CI/CD, Infrastructure as Code, containerization, and observability tools.
• Experience with GitLab, Jenkins, Terraform, Ansible, Docker, Kubernetes, Prometheus, or Grafana.
• Familiarity with distributed large-scale systems and industrial-grade Python and C++ codebases.

Culture & Benefits

• Work in a research-driven environment focused on innovation and scientific problem-solving.
• Collaborate with quantitative researchers and engineers on global financial-market technologies.
• Operate in a culture emphasizing intellectual honesty, creativity, collaboration, and mutual respect.
• Support technologies, startups, research organizations, and universities across industries.