Software Engineer - Research Technology (C++)

Location: Singapore; onsite role

Company

hirify.global is a diversified trading firm using proprietary technology and capital across global financial markets and additional strategies including real estate, venture capital, and cryptoassets.

What you will do

• Build and maintain high-performance software and data systems for quantitative researchers and trading teams.
• Implement raw exchange-data ingestion pipelines in modern C++ and operate them at high throughput.
• Orchestrate and improve the reliability of data and compute pipelines on HPC clusters.
• Create research tooling and ad-hoc computation frameworks using Python and C++ integrations for slicing, backtesting, and rapid iteration.
• Develop simulation frameworks integrated with high-frequency and live-trading platforms.
• Monitor distributed platforms, support quantitative-model training and deployment, and optimize performance, reliability, and resource efficiency.

Requirements

• At least 2 years of professional experience building large-scale, high-performance systems.
• Daily professional use of modern C++ version 17 or later and Python.
• Strong foundations in data structures, algorithms, networking, operating systems, concurrency, and system design.
• Experience with data schemas, storage formats, compression and I/O trade-offs, and pipelines handling hundreds of terabytes; familiarity with columnar formats such as Parquet or Arrow.
• Experience designing and operating services or platforms for technical users in data-intensive environments.
• Ability to ship production software safely, support internal users, communicate clearly, and collaborate empathetically.

Nice to have

• Rust experience alongside C++ and Python.
• Cluster-scale compute experience with Slurm, Kubernetes, Ray, Spark, or comparable schedulers.
• GPU programming or machine-learning and deep-learning framework experience.
• Finance, market-data, low-level market-connectivity, packet-processing, or deterministic simulation experience.
• Platform engineering or developer-productivity experience for internal engineers or researchers.

Culture & Benefits

• Mentorship and substantial onboarding for new engineers.
• Autonomous environment focused on innovation, integrity, curiosity, and challenging consensus.
• Domain expertise in trading and market microstructure is taught on the job and is not required for the interview.
• Interview evaluation covers computer-science fundamentals, correctness, performance, code quality, communication, and growth potential.

Hiring process

• Interview assessments cover computer-science fundamentals, reasoning about correctness and performance, code quality, communication, and learning trajectory.
• Market-microstructure knowledge is not tested during interviews.