Devops – AI Driven Systematic Trading Firm – DeepFin

DeepFin is a systematic proprietary trading firm combining deep learning, traditional quantitative research methods, and cutting-edge trading technology, to trade global markets. Founded by engineers and researchers, we build and deploy advanced trading systems that operate across global markets.

Our team is lean, highly technical, and impact-driven – every hire plays a direct role in shaping the firm’s technology, strategy, and performance. We value curiosity, precision, and collaboration, and we’re building an environment where exceptional people can do their best work at the intersection of AI and financial markets.

We are seeking a DevOps Engineer to join our Core Engineering team and support the critical systems that power DeepFin’s trading platform. This role sits at the centre of our infrastructure, working closely with developers, researchers, and risk teams to ensure our trading, market data, and risk environments are performant, reliable, and seamlessly deployed across cloud and colocated environments.

The ideal candidate will have direct experience supporting systems in an HFT or systematic trading environment and be comfortable working with low-latency architectures, global market connectivity, and real-time production systems.

This is a hands-on engineering role focused on system reliability, automation, and operational excellence in a high-performance trading environment.

Key Responsibilities

• Operate and scale hybrid infrastructure across AWS and global colocation sites.
• Deploy, manage, and monitor Java, C++, and Python trading and data systems.
• Support daily trading operations, clearing workflows, and real-time risk/position monitoring.
• Build system automation, monitoring, and operational tooling (Python, Bash, SQL).
• Maintain and tune low-latency Linux environments and networking stacks.
• Implement firm-wide security controls across servers, networks, and user endpoints.
• Diagnose and resolve complex production issues in live trading environments.

Requirements

• STRONGLY DESIRED: Direct experience working in an HFT, systematic trading, or low-latency trading environment.
• Strong security experience across networks, servers, and user endpoints (patching, access control, hardening, auditing, monitoring).
• 5+ years DevOps/SRE/Systems Engineering experience.
• Strong Linux, networking, and performance tuning skills.
• Production experience with Java, C++, Python, Bash, and SQL.
• Experience with both cloud (AWS) and colocated servers.
• Knowledge of trading systems, market data, and post-trade processes.
• Experience with monitoring/logging stacks (Prometheus, Grafana, ELK)

Desirable

• Experience with futures & options lifecycle (rolls, expiries, margining).
• FIX protocol and market gateway exposure.
• CI/CD, Docker/Kubernetes, or low-latency hardware tuning.

If you’re passionate about building the infrastructure behind advanced trading systems and want to work alongside a focused, high-performing engineering team, we’d love to hear from you. DeepFin offers a collaborative, technology-driven environment where ideas move quickly from concept to production and where your work directly impacts live trading performance.

Join us in building the next generation of deep-learning-driven trading systems- shaping the future of finance through innovation, rigour, and engineering excellence.
If you’re passionate about applying advanced technology to real-world markets and want to work alongside a focused, high-performing team, we’d love to hear from you. DeepFin offers a collaborative, research-driven environment where ideas move quickly from concept to execution and where every contribution has visible impact.

Join us in building the next generation of deep-learning-driven trading systems – shaping the future of finance through innovation, rigour, and technology.