Senior Software Engineer - Research Technology (C++)

Location: London, United Kingdom

Company

hirify.global is a diversified trading firm using proprietary capital and technology to operate across global financial markets and selected non-traditional strategies.

What you will do

• Design, build, and maintain high-performance software and data systems for quantitative researchers and trading teams.
• Implement and operate raw exchange-data ingestion pipelines in modern C++ at high throughput.
• Orchestrate data and compute pipelines on HPC clusters, improving scheduling, reliability, retries, and resource management.
• Create Python and C++ research tooling for slicing datasets, backtesting, and rapid iteration.
• Develop simulation frameworks integrated with HFT and live-trading platforms.
• Optimize production code for performance, reliability, and resource efficiency while mentoring junior engineers as needed.

Requirements

• 7+ years of professional experience building large-scale, high-performance systems.
• Daily professional use of modern C++ 17 or later and Python.
• Strong fundamentals in data structures, algorithms, networking, operating systems, concurrency, and system design.
• Experience running compute at cluster scale with schedulers or distributed-computing systems such as Slurm, Kubernetes, Ray, Spark, or comparable tools.
• Data-engineering experience with schema design, storage formats, compression, I/O trade-offs, and pipelines processing hundreds of terabytes.
• Experience operating production platforms for technical users in data-intensive environments and shipping software safely and repeatedly.

Nice to have

• Rust experience alongside C++ and Python.
• Slurm or other cluster-scheduler expertise.
• ML or deep-learning framework familiarity, GPU programming, or prior finance and market-data experience.
• Experience with packet processing, deterministic simulation, replay systems, or platform engineering for internal users.

Culture & Benefits

• Autonomy and the ability to pivot quickly while operating with proprietary capital.
• High expectations, integrity, curiosity, innovation, and willingness to challenge consensus.
• Comprehensive onboarding is provided; prior trading experience is not required.
• Work spans exchange-data ingestion, HPC clusters, simulation, and research tooling across global markets.