Trading Operations Engineer

Flow Traders is looking for an Experienced Trading Operations Engineer to join our fast-paced and dynamic Trading Operations team in Hong Kong. This is an exciting opportunity to play a pivotal role within a leading proprietary trading firm that thrives on innovation, ownership, and performance. We foster a culture where smart, driven individuals are empowered to make meaningful contributions from day one.

In this multifaceted role, you will act as an Operations Engineer, taking ownership of the stability, performance, and scalability of our proprietary trading systems and supporting infrastructure. You will collaborate closely with traders, developers, and infrastructure teams to ensure our systems operate at peak efficiency across global markets.

• →Respond quickly to any technical issues affecting in-house trading applications
• →Optimize our infrastructure for business needs
• →Utilise project- and change-management tools to maintain and configure trading infrastructure
• →Analyse and enhance exchange connectivity
• →Investigate latency issues and bottlenecks. Collaborate with stakeholders to resolve latency issues and improve overall system efficiency
• →Monitor and document trading applications and IT infrastructure
• →Collaborate with developers to design new and improved in-house applications

• →3–5 years of hands-on experience in a Trading Operations, DevOps, or Infrastructure Engineering role within a proprietary trading or high-frequency trading (HFT) environment.
• →Deep expertise in Unix/Linux systems, with proven ability to manage complex, latency-sensitive production environments.
• →Strong programming and scripting skills in Python, with additional experience in languages such as Go, Bash, or C++ considered a plus.
• →Practical understanding of networking concepts such as TCP/IP, multicast, routing, and DNS, with experience performing network packet analysis and investigations to diagnose and resolve low-latency system issues.
• →Experience managing and supporting distributed systems and real-time infrastructure using Kubernetes, Helm, and Docker in production environments.
• →Hands-on experience with Kafka and event-driven architectures, including tuning, monitoring, and scaling.
• →Working knowledge of database systems with a solid understanding of core database concepts.
• →Solid experience with cloud platforms, particularly Google Cloud Platform (GCP), including automation, infrastructure orchestration, and observability tools.
• →Familiarity with infrastructure-as-code and configuration management tools such as Terraform and Ansible.
• →Excellent troubleshooting skills with the ability to quickly diagnose and resolve issues in distributed, high-performance systems.
• →Strong communication and collaboration skills, with a track record of working effectively with cross-functional teams including developers, traders, and infrastructure engineers.
• →Self-driven and proactive mindset, with the ability to mentor junior team members and contribute to a culture of operational excellence.