Key Responsibilities • Ensure reliability, availability, and performance of production trading and research systems through proactive monitoring and incident management. • Manage monitoring, alerting, incident response, and troubleshooting in production environments. • Conduct incident response, root cause analysis (RCA), and postmortem processes to continuously improve system stability. • Build automation to streamline deployment, scaling, and operational workflows, reducing manual intervention. • Optimize system performance and scalability across distributed, data-intensive environments. • Manage and enhance CI/CD pipelines and infrastructure, including containerized and orchestration platforms (e.g., Kubernetes). • Collaborate with engineering, quant, and trading teams to improve system reliability and operational efficiency. Qualifications Required • Bachelor’s degree or higher in Computer Science, Engineering, or a related field. • 3+ years of experience in production engineering, site reliability engineering, or backend systems engineering. • Strong programming skills in Python. • Solid understanding of Linux systems, networking, and distributed systems. • Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack). • Understanding of FIX protocol or trading workflows. Preferred • Experience in financial services, trading systems, or low-latency environments. • Familiarity with market data systems and electronic trading infrastructure. • Experience with Kubernetes, Docker, or cloud infrastructure. • Exposure to high-performance or distributed computing environments.