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, promoting seamless integration of research findings into practical applications.
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.

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.

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.

Data Operations Engineer

Key skills