GFT Technologies ★ 3.9

Key Responsibilities

• Develop and enhance applications utilizing Java and Python, with a focus on performance and scalability.
• Implement and maintain event processing and messaging queues, with expertise in Kafka, Flink, and Complex Event Processing (CEP) technologies.
• Design, deploy, and manage cloud-based solutions on AWS, ensuring high availability and scalability.
• Administer and optimize Kubernetes (k8s) clusters for container orchestration and management.
• Conduct quantitative data analysis, leveraging a robust quantitative analytic framework to inform decision-making and improve system performance.
• Develop, maintain, and utilize tools like Prometheus and Grafana for effective time-series data visualization and monitoring.
• Create and manage statistical reports and reporting systems, ensuring they provide actionable insights.
• Collaborate closely with various teams to automate and streamline trading, reconciliation, and analytics workflows.
• Provide advanced technical support and troubleshooting for developed systems and applications.

Requirements

• Minimum of 5 years of professional experience in both Java and Python development.
• Profound knowledge in event processing and messaging queues, including experience with Kafka, Flink, and CEP technologies.
• Strong experience with AWS cloud services and proficient in managing Kubernetes environments.
• Demonstrated ability in quantitative data analysis and familiarity with quantitative analytic frameworks.
• Skilled in the use of Prometheus and Grafana for time-series data visualization and monitoring.
• Experience in developing and maintaining reporting systems with a strong grasp of statistical report generation.
• Prior experience in a trading or financial environment is beneficial but not mandatory.
• Solid understanding of system design, data structures, and algorithms.
• Good problem-solving skills and the ability to work under pressure in a fast-paced environment.
• Excellent communication and teamwork skills.