- 10+ years of experience in relevant technologies.
- Data Engineering (Python, Dataflow, Pub/Sub, BigQuery, Hadoop, NiFi/Kafka, RDBMS), Cloud SQL,
- Good understanding on GCP console, BQ/GCS/Git, Jenkins, Airflow, Pub/Sub/Kafka, CI/CD
- Practical experience with Vertex AI (preferred) or equivalent managed LLM services, including deploying/consuming endpoints
- Demonstrable hands-on delivery of at least one LLM-enabled capability, such as:
- RAG data preparation pipelines, embeddings pipelines, vector indexing, or LLM evaluation telemetry.
- Delivered one or more critical data products/pipelines with measurable improvements in reliability, latency, and data quality.
What additional skills will be good to have?
- Experience with Vertex AI, model deployment, feature stores, vector search, embeddings.
- Experience with streaming (Dataflow/Beam, Kafka) and container platforms (GKE/Cloud Run).
- Familiarity with governance patterns for GenAI (model risk, auditability, explainability, content safety).
- Experience with open-source vector DBs (e.g., pgvector, Milvus, Weaviate) and evaluation tooling.
- Cloud certifications (GCP Professional Data Engineer / Cloud Architect) are a plus.
You’ll achieve more when you join HSBC.
HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.
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***Issued By HSBC Software Development (GuangDong) Limited***