Summary
✨ AI‑Generated
Take ownership of mission-critical production environments supporting low-latency, high-throughput systems. You will automate delivery pipelines, optimize performance, monitor reliability, and lead incident investigation and root-cause analysis.
Highlights
Own mission-critical production environments where performance, stability, availability, automation, and rapid safe delivery are core priorities.
Description
Production DevOps Engineer
Every millisecond counts when trading at scale.
We are seeking a talented Production DevOps Engineer to take ownership of our mission-critical trading environments.
In this role, you will bridge the gap between development and operations, ensuring our high-frequency trading platforms, data pipelines, and production systems maintain peak performance, absolute stability, and continuous availability.
Key Responsibilities
Manage Production Environments: Oversee the deployment, maintenance, and monitoring of our low-latency, high-throughput production trading systems.Automate Infrastructure & Pipelines: Build and optimize continuous integration and deployment (CI/CD) pipelines to enable rapid, safe releases of trading software.Optimize System Performance: Continuously analyze and fine-tune system latency, network configurations, and resource utilization to maintain a competitive market edge.Incident Response & Reliability: Lead root-cause analyses for production incidents, implement automated self-healing mechanisms, and participate in an on-call rotation.Drive Infrastructure as Code (IaC): Architect, provision, and maintain immutable infrastructure using modern configuration management tools.
Required Skills & Experience
Proven DevOps Expertise: Strong track record as a DevOps, Site Reliability, or Systems Engineer supporting high-availability production environments.Trading or Financial Services Background: Demonstrated experience supporting real-time, mission-critical systems within a trading firm, hedge fund, or investment bank.Advanced Automation & Scripting: Mastery of Python, Bash, or Go for system automation, tooling development, and process optimization.Containerization & Orchestration: Deep practical experience with Docker, Kubernetes, and managing containerized applications in production.Linux Systems Mastery: Expert-level knowledge of Linux kernel tuning, system internals, networking protocols (TCP/IP, UDP), and performance troubleshooting.
