Requirements

• Strong proficiency in Python.
• Experience with monitoring and observability tools.
• Hands-on experience with workflow orchestration tools - Apache Airflow.
• Familiarity with data pipelines and ETL processes.
• Proficiency with containerization and orchestration technologies - Docker, Kubernetes.
• Strong understanding of CI/CD pipelines and tools.
• Strong problem-solving and troubleshooting skills with a proactive approach.
• Excellent communication and collaboration abilities across teams.
• Highly organized, detail-oriented, able to manage multiple priorities in a fast-paced environment.

Nice to Haves

• 5+ years of professional experience in a quantitative role.
• Familiarity with the trading process and financial markets.
• Excellent analytical and problem-solving skills.
• Meticulous attention to detail and commitment to accuracy.
• Demonstrated ability to work hard and manage multiple tasks simultaneously.
• Ability to work effectively in a collaborative team environment.
• Strong verbal and written communication skills.

What You'll Be Doing

• Designing and building out environments.
• Performing continuous status checks on research and trading-critical automated tasks.
• Developing automated testing frameworks and AI-driven solutions to enhance research and development quality.
• Identifying and implementing improvements to stability and performance of infrastructure components.
• Continuously monitoring logs for all production applications to proactively resolve issues.
• Overseeing the health and performance of data pipelines and dependencies.
• Ensuring timely and accurate delivery of external data.
• Collaborating closely with researchers, developers, and portfolio managers to deliver tailored solutions.
• Monitoring and maintaining web scraping pipelines to ensure data accuracy and reliability.