Data Operations Engineer (USA)

Responsibilities

• Collaborate with teams to establish robust monitoring and alerting systems that provide real-time insights into the trading process status. Take a proactive approach to monitoring, promptly identifying and resolving operational issues to minimize downtime and disruptions.
• Develop, enhance, and maintain pipelines dedicated to facilitating data/alpha/strategy generation, testing, and deployment procedures. Foster close collaboration with research teams to ensure the smooth deployment of scripts.
• Establish and sustain quality control measures to ensure the consistency and robustness of scripts and applications. Conduct regular inspections and audits of production lines to identify and rectify any quality-related issues promptly.
• Identify opportunities for continuous improvement within the production process, driven by data analysis and performance metrics. Lead or contribute to cross-functional improvement projects aimed at enhancing production efficiency and increasing overall output.
• Maintain accurate records of production processes, performance metrics, and quality control data. Generate regular reports and provide insights to management on production performance, trends, and improvement initiatives.

Requirements

• Strong working knowledge of Python and Linux is a must.
• Experience working with SQL is an advantage.
• Prior development experience in fault-tolerant distributed or data intensive applications is a plus.
• Process-driven with strong attention to detail.
• Ability and willingness to adapt to new challenges in a dynamic environment with shifting priorities.
• Background in Computer Science, Engineering or a related field.

Benefits

• Competitive salary plus bonus based on individual and company performance.
• Collaborative, casual, and friendly work environment.
• PPO Health, dental and vision insurance premiums fully covered for you and your dependents.
• Pre-tax commuter benefits.
• Weekly company meals.