Senior Trading Systems DevOps Engineer

Responsibilities

• Build, scale, and optimize core low-latency trading platforms.
• Architect AWS and hybrid cloud infrastructure for microsecond execution using kernel tuning (isolcpus), AWS Placement Groups, and enhanced networking (ENA/ENI).
• Design and maintain release pipelines for core trading engines (OMS, EMS, Gateways), ensuring zero-downtime deployments and deterministic rollbacks.
• Collaborate across teams to enhance platform reliability, performance, scalability, and security.
• Provision high-throughput messaging paths (Aeron, FIX gateways) to support venue expansions for market making and regional growth.
• Drive infrastructure automation, network topology design, and OS configurations using Terraform and Ansible.
• Build real-time telemetry pipelines using Grafana Cloud, Alloy, and Prometheus to detect latency spikes and system issues.
• Drive continuous platform efficiency, reduce tick-to-trade latency, and accelerate deployment cycles.
• Practice sustainable incident response, reduce MTTR, establish error budgets, and conduct blameless postmortems.
• Share on-call rotation duties and serve as a primary escalation point for production incidents.
• Enforce security best practices across all trading infrastructure to minimize attack surfaces and guarantee data integrity.

Minimum Qualifications

• Bachelor’s degree with 5+ years of experience as an Infrastructure or Systems Engineer in low-latency electronic trading environments.
• Deep Linux kernel knowledge: performance tuning, memory management, and network I/O optimization (isolcpus, CPU pinning, ring buffers).
• Hands-on expertise optimizing AWS low-latency constructs (Placement Groups, ENA/ENI, high-performance EC2 selection).
• Proven track record productionizing low-latency trading systems across cloud, on-prem, and colocation environments.
• Experience building CI/CD pipelines for stateful trading systems using Jenkins, ArgoCD, or GitHub Actions.
• Direct experience with FIX protocol execution flows and low-latency Aeron messaging (IPC/UDP).
• Strong knowledge of physical network design, TCP/IP, UDP, WebSockets, and low-latency routing.
• Advanced proficiency with Terraform for infrastructure provisioning and Ansible for configuration management.
• Solid experience managing containerized workloads via Docker, Docker Compose, and Kubernetes.
• Experience securing container base images using minimal distributions like Chainguard.
• Expertise in observability, debugging, and system tuning using Grafana Cloud, Alloy, or Prometheus.
• Fluent in Python and Bash scripting.

Preferred Qualifications

• Hands-on development exposure to Rust or Java for cross-functional debugging of execution engines.
• Experience implementing operational frameworks (SLOs, SLAs, Error Budgets) for trading desks.
• Deployment expertise with canary and blue/green release strategies for stateful systems.
• Strong analytical, communication, and problem-solving skills under time-sensitive conditions.
• Working knowledge of databases (MySQL, PostgreSQL) and key-value stores (Redis).

• Exposure to algorithmic trading strategies, market-making mechanics, or crypto exchange APIs.

The base pay for this role is expected to be between $179,000-$226,000 in the New York City Area. This expected base pay range is based on information at the time this post was generated. This role will also be eligible for other forms of compensation such as a performance linked bonus, equity, and a competitive benefits package. Actual compensation for a successful candidate will be determined based on a number of factors such as location, skillset, experience, qualifications and the level at which the candidate is hired.