High Frequency Trading Systems Engineer - Remote in USA
Job Description
The trading platform is the product. We’re looking for an engineer who has built, operated, and scaled real trading systems in production—not just APIs around them.
This role focuses on keeping live trading and market data infrastructure fast, stable, and observable, while continuously improving performance. The work directly impacts latency, uptime, and execution quality.
You’ll work closely with backend engineers, traders, and quants to deploy, benchmark, and tune matching engines, market data pipelines, and exchange services. When something breaks—or even slows down—you know where to look, what matters, and how to fix it quickly.
What You’ll Be Doing
• Owning and optimizing live trading and market data systems
• Designing monitoring, alerting, and observability tools to catch issues early
• Deploying and tuning low-latency services such as matching engines and market data feeds
• Managing and troubleshooting exchange incidents, latency spikes, and production issues in real time
• Collaborating with traders, quants, and product teams to ensure high availability
• Contributing to system-level design around performance, reliability, and disaster recovery
• Building and maintaining APIs, microservices, and CI/CD pipelines that support trading operations
Must-Haves
• 4+ years of experience in systems, backend, or trading infrastructure engineering
• Direct experience working on live trading systems, exchanges, or real-time financial platforms
• Strong programming skills in Go, Rust, or C++
• Deep understanding of networking, distributed systems, and low-latency performance optimization
• Hands-on experience with market data distribution, order management, and execution systems
• Strong production mindset with observability tools such as Prometheus, Grafana, ELK, or similar
• Experience operating infrastructure in AWS, GCP, or bare-metal environments
This role is best suited for engineers who have worked inside high-performance trading environments, not just adjacent fintech systems.
Nice-to-Haves
• Knowledge of FIX, WebSocket, and REST protocols
• Experience with Kubernetes, Terraform, or large-scale container orchestration
• Background in HFT, derivatives, perpetuals, or crypto-native trading systems
• Contributions to open-source trading or infrastructure projects
What This Role Is (and Isn’t)
• ✅ A core trading infrastructure role working on live production systems
• ✅ Deep exposure to low-latency, high-throughput environments
• ❌ Not a short-term contract or primarily self-employed role
• ❌ Not an API-only, fintech-adjacent, or government-focused position
• ❌ Not a research-only or non-trading platform role
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Apply tot his job
Apply To this Job
The trading platform is the product. We’re looking for an engineer who has built, operated, and scaled real trading systems in production—not just APIs around them.
This role focuses on keeping live trading and market data infrastructure fast, stable, and observable, while continuously improving performance. The work directly impacts latency, uptime, and execution quality.
You’ll work closely with backend engineers, traders, and quants to deploy, benchmark, and tune matching engines, market data pipelines, and exchange services. When something breaks—or even slows down—you know where to look, what matters, and how to fix it quickly.
What You’ll Be Doing
• Owning and optimizing live trading and market data systems
• Designing monitoring, alerting, and observability tools to catch issues early
• Deploying and tuning low-latency services such as matching engines and market data feeds
• Managing and troubleshooting exchange incidents, latency spikes, and production issues in real time
• Collaborating with traders, quants, and product teams to ensure high availability
• Contributing to system-level design around performance, reliability, and disaster recovery
• Building and maintaining APIs, microservices, and CI/CD pipelines that support trading operations
Must-Haves
• 4+ years of experience in systems, backend, or trading infrastructure engineering
• Direct experience working on live trading systems, exchanges, or real-time financial platforms
• Strong programming skills in Go, Rust, or C++
• Deep understanding of networking, distributed systems, and low-latency performance optimization
• Hands-on experience with market data distribution, order management, and execution systems
• Strong production mindset with observability tools such as Prometheus, Grafana, ELK, or similar
• Experience operating infrastructure in AWS, GCP, or bare-metal environments
This role is best suited for engineers who have worked inside high-performance trading environments, not just adjacent fintech systems.
Nice-to-Haves
• Knowledge of FIX, WebSocket, and REST protocols
• Experience with Kubernetes, Terraform, or large-scale container orchestration
• Background in HFT, derivatives, perpetuals, or crypto-native trading systems
• Contributions to open-source trading or infrastructure projects
What This Role Is (and Isn’t)
• ✅ A core trading infrastructure role working on live production systems
• ✅ Deep exposure to low-latency, high-throughput environments
• ❌ Not a short-term contract or primarily self-employed role
• ❌ Not an API-only, fintech-adjacent, or government-focused position
• ❌ Not a research-only or non-trading platform role
Apply tot his job
Apply To this Job
Apply tot his job
Apply To this Job