Platform / Site Reliability Engineer

Millennium; Hong Kong; On-site; HKD 600,000 - 800,000; Full time

Job summary

Millennium in Hong Kong is looking for a skilled developer to work on their Equity Derivatives platform. The role requires strong experience in Python, Groovy, or C++, along with expertise in Kubernetes, Docker, and messaging middleware such as Kafka/Solace. You will build and maintain platforms, streamline deployment processes, and provide production support. An advanced degree in a relevant field and excellent communication skills are necessary to thrive in a fast-paced environment where several projects must be managed simultaneously.

Qualifications

• Hands-on experience with languages such as Python, Groovy or C++ is required.
• Experience of Kubernetes, Docker, and cloud platforms is required.
• Experience with messaging middleware platforms like Kafka / Solace is desired.
• Ability to maintain composure under pressure and to communicate effectively with various stakeholders.

Responsibilities

• Build and maintain internal platforms used by Equity Derivatives PMs, quants and technology teams.
• Develop robust, automated tooling to streamline deployment, configuration management, and failover procedure.
• Write, support, maintain, and test code following best practices, including unit testing, documentation, and automation within standard CI/CD processes.
• Conduct in-depth profiling of application stacks to identify and eliminate latency bottlenecks.
• Provide Level 2 support, troubleshooting, and performance tuning for production systems.

Skills

Python

Groovy

C++

Kubernetes

Docker

Kafka

Solace

Education

Advanced degree in Computer Science, Mathematics, Physics, Financial Engineering or equivalent

Job description

The successful candidate will join a team that develops, maintains and supports the Equity Derivatives platform/infrastructure at MLP. They will work hands‑on with other developers, quants and production support teams to improve reliability, automation and operational scalability. Experience working with Python, Groovy or C++ and in a Unix/Linux environment is a must, as is experience with Docker/Kubernetes and messaging middleware such as Kafka/Solace. Experience working on equity derivatives platforms would be beneficial. Must have excellent communication skills and be a team player.

Principal Responsibilities

• Build and maintain internal platforms used by Equity Derivatives PMs, quants and technology teams
• Develop robust, automated tooling to streamline deployment, configuration management, and failover procedure
• Write, support, maintain, and test code following best practices, including unit testing, documentation, and automation within standard CI/CD processes.
• Conduct in-depth profiling of application stacks to identify and eliminate latency bottlenecks, driving improvements across the platform
• Apply AI-enabled approaches to improve data validation, anomaly detection and support automation
• Provide Level 2 support, troubleshooting, and performance tuning for production systems

Qualifications/Skills

• Hands‑on experience with languages such as Python, Groovy or C++ is required
• Experience of Kubernetes, Docker, and cloud platforms is required
• Experience with messaging middleware platforms like Kafka / Solace is desired
• Experience in working with Equity Derivatives Pricing, Risk or vol fitting applications is desired
• Advanced degree in Computer Science, Mathematics, Physics, Financial Engineering or equivalent.
• Ability to maintain composure under pressure and to communicate effectively with various stakeholders
• Self‑starter and critical thinker, takes ownership of own projects and makes improvement suggestions for the entire infrastructure.
• Proactive, assertive and attentive to details.
• Can handle several projects with different priorities at the same time in a fast‑paced environment