обновлено 6 дней назад
Senior Engineer, Post-trade Brokerage Engineering (Java)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Engineer, Post-trade Brokerage Engineering (Java): Building high-availability post-trade services and audit-ready data infrastructure for recording, reconciling, and reporting institutional digital-asset transactions with an accent on Java/Micronaut services, PostgreSQL and BigQuery data models, and regulatory compliance. Focus on designing fault-tolerant event-driven systems, ensuring idempotency and auditability, and owning production reliability through observability, CI/CD, and incident response.
Location: Hong Kong
Company
is an institutionally focused global digital asset platform providing regulated exchange, market data, indices, media, and information services.
What you will do
- Design and build high-availability Java/Micronaut services for post-trade and analytics platforms.
- Develop statements, confirmations, and reconciliations serving as institutional clients’ source of truth.
- Deliver regulatory reporting capabilities as the business expands into new jurisdictions.
- Own production systems end to end, including SLOs, CI/CD, monitoring, and incident response.
- Design event schemas and data models focused on reconciliation, idempotency, auditability, and trade-lifecycle integrity.
- Collaborate with Trading Engineering, Compliance, Risk, and Finance across global teams.
Requirements
- 5+ years of experience building production systems in financial services or another high-stakes, regulated environment.
- Strong backend and data-technology fundamentals, including Java, Python, PostgreSQL, and analytical stores such as BigQuery.
- Experience designing clean schemas and data models.
- Proven ability to deliver fault-tolerant systems with rigorous testing, observability, and HA/DR practices.
- Test-driven, agile working style with ownership of end-to-end problem solving.
- Computer Science, Engineering, or related degree, or equivalent professional experience; ability to use large language models such as Claude or Gemini to accelerate delivery while maintaining engineering standards.
Nice to have
- Cloud and DevOps experience with GCP, Kubernetes, or Docker.
- Experience with event-driven architectures and middleware such as Kafka or Aeron.
- Familiarity with BigQuery, Snowflake, Databricks, Airflow, or DBT.
- Familiarity with React or TypeScript.
Culture & Benefits
- Engineering culture centered on security, compliance, technical excellence, and code ownership.
- Emphasis on code reviews, test-driven development, mentorship, and solving complex technical challenges.
- Collaboration with specialized peers across a global organization.
- Commitment to integrity, equal opportunity, and a globally diverse community.
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