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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
BitMEX | Hong Kong, Hong Kong | $27k - $90k | |||
BitMEX | Hong Kong, Hong Kong | $27k - $90k | |||
BitMEX | Hong Kong, Hong Kong | $30k - $70k |
BitMEX
$27k - $90k estimated
This job is closed
Role Overview
Lead the build out of the electronic trading stack components supporting our brokerage business, including the development and maintenance of market data feeds, order and execution data feeds and client pricing services.
The role will also be responsible for implementing latency monitoring between stack components, proactively proposing improvements to improve stability, scalability, and performance of the trading platform to ensure we are able to remain competitive in our trade execution.
Key Responsibilities
- Lead the development of the electronic trading stack components supporting our brokerage business.
- Design fault tolerant, scalable, latency sensitive multi-site architectures to ensure we achieve a 99.9% availability for our clients.
- Work closely with DevOps and Ops Support to have sufficient monitoring in place to ensure we are aware of potential issues which could lead to a degraded service.
- Managing a small development team.
Experience
Must
- 7+ Years of Java development experience.
- Strong understanding of threading models, JVM memory management and optimization.
- Experience integrating with REST and Websocket APIs.
- Experience developing distributed components which communicate over middleware solutions such as NATS, Kafka, TibCo and LBM.
- Comfortable developing using structured data exchange formats as Google Protobuf
- Following TDD/BDD methodologies and clean coding practices.
- Experience working in a Linux environment.
- Comfortable working with developer tools such as GIT, Jira and Confluence.
- Familiar with automated build, test and deployment pipelines (e.g. GitLab or Jenkins).
- Strong problem-solving skills and a confident communicator.
- Ability to work independently and comfortably to tight schedules.
- Management experience and able to effectively manage remote teams.
Bonus
- Experience developing in Python.
- Interacting with and querying KDB datasets.
- Experience with deploying applications into the cloud and using container technologies such as Docker and Kubernetes.
- Understanding of logging, metrics and tracing concepts using tools such as Splunk, ELK stack, Lightstep and TICK stack.