About this role
- Contribute to the stability of core systems including securities trading, risk control, and clearing & settlement; handle production alerts and incident response, drive root-cause analysis and post-mortem reviews.
- Build operations automation platforms, monitoring systems, and self-healing tooling (primarily in Python/Go), using code to lift operational efficiency and change quality.
- Collect and analyze production telemetry (resource utilization, latency, error rates, etc.); participate in system architecture optimization and cloud cost governance.
- Understand the high-availability requirements of financial business; grasp the fundamentals of databases and common middleware; take part in change-impact assessment and systemic risk identification.
- Apply AI tools judiciously across troubleshooting and automation to boost efficiency, while verifying key conclusions; read English operations documentation, cloud-vendor and open-source component materials, and communicate fluently with R&D and business teams on both day-to-day and technical topics.
Requirements
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Education: Bachelor's degree or above in Computer Science, Software Engineering, Network Engineering, Finance, or related disciplines.
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Financial Knowledge: Understanding of securities market structure, order and execution mechanics, or clearing and settlement processes; prior experience in live stock/options/futures trading, brokerage, or SRE internships is a plus.
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Technical Skills: Solid CS fundamentals, including computer networking (TCP/IP, HTTP, etc.), Linux, data structures, and algorithms; proficient in at least one programming language (Python/Go/C++/Java, etc.), familiar with Linux and Shell; foundational understanding of relational databases such as MySQL, with basic knowledge of middleware including Redis, Nginx, and Kafka.
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Compliance Awareness: Strong sense of regulatory compliance and risk control; sensitive to client data protection, trade confidentiality, and information security boundaries; able to strictly follow compliance rules in operations and change management, avoiding exposure of sensitive data or systems.
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Professional Attributes: Respect for financial business logic, data, and rules; clear logical thinking, detail-oriented and patient, with effective communication and collaboration skills.
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Language Skills: Good English & Chinese proficiency in listening, speaking, reading, and writing; able to communicate fluently on both daily and technical matters.
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Bonus Points: Hands-on experience applying AI tools to troubleshooting or automation; familiarity with securities brokerage business is a plus.
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*Open to candidates graduating between January 2026 and August 2027.