Posted:
10/13/2025, 1:07:21 PM
Location(s):
Hong Kong, China
Experience Level(s):
Senior
Field(s):
Software Engineering
Reports to:
Manager, EngineeringKey Responsibilities
Design, build, and maintain robust, high-performance microservices and stream processing pipelines to deliver timely data supporting aspects of Risk Management, Regulatory Reporting, and Clearing functions.
Develop a deep understanding of the data models and end-to-end data workflows across Risk Management, Regulatory Reporting, and Clearing functions.
Continuously identify cost optimisations and functional/non-functional issues through test automation, compute analysis and performance profiling.
Prioritise automated testing and maintain high standards for code quality and SDLC best practices.
Be an opinionated self-starter who takes a strong sense of ownership and excels at distilling complex requirements.
Stay current with industry trends to drive continuous improvement in the platform.
Work within a global team (HK, SG, UK), coordinating closely with Product Managers and other Engineering teams.
Qualifications
5+ years of professional experience in software development.
Hands-on experience with Python and Java, and experience building mission-critical, high-throughput systems.
Hands-on experience with middleware such as RabbitMQ and Kafka.
Hands-on experience with databases (e.g. SQL/no-SQL like Redis, Postgres, MongoDB).
Strong SQL skills. Strong analytical skills.
Experience in designing data structures, event schemas and database schemas.
Solid and opinionated knowledge of testing methodologies, coding principles and coding standards.
Well versed with standard SDLC practices and tooling around build, test, deploy etc.
Hands on with a strong sense of ownership.
Ability to operate and thrive in a dynamic startup environment.
Passionate about knowledge sharing and mentoring.
Eligibility to work in Hong Kong.
Bonus Experience
Familiarity with cloud technologies (e.g. AWS, GCP), modern DevOps tooling (e.g. Kubernetes, Docker), and workflow orchestration (e.g. Airflow, DBT).
Familiarity with big data management and data lake ecosystems (e.g. Databricks, Snowflake, BigQuery).
Experience with BI technologies for data visualisation (Tableau, Superset) or delivering simple web-based UIs (React).
Bullish is proud to be an equal opportunity employer. We are fast evolving and striving towards being a globally-diverse community. With integrity at our core, our success is driven by a talented team of individuals and the different perspectives they are encouraged to bring to work every day.
Website: https://bullish.com/
Headquarter Location: San Francisco, California, United States
Employee Count: 251-500
Year Founded: 2018
IPO Status: Private
Last Funding Type: Seed
Industries: Financial Services ⋅ Information Technology