# Associate Director, Software Engineering

**Company**: GCIO
**Location**: Guangzhou, Guangdong
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://portal.careers.hsbc.com/careers/job/563774612526271?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_959fe15b-9de

## Description

We are currently seeking an experienced professional to join our team in the role of Associate Director, Software Engineering.

Principal responsibilities:

- Lead design reviews; make clear trade-offs across resilience, performance, cost, and time-to-market.

- Drive engineering excellence: CI/CD, automated testing, code quality, and release governance.

- Leads by doing (not managing): guides engineers/teams through complexity and raises engineering standards through day-to-day actions.

- Strong engineering fundamentals with a continuous improvement mindset; willing to learn the best tool/language for the problem.

- Define reference architectures and reusable patterns for ingestion, transformation, and serving on GCP.

- Modern delivery and operations experience: end-to-end ownership, continuous delivery/DevOps practices, and use of operational metrics (e.g., DORA).

- Broad engineering exposure across platform/infrastructure/function-as-a-service, plus agile values-based delivery.

- AI/ML technology evolution focus: stays current on applied Artificial Intelligence (including Generative AI) and identifies practical opportunities to embed AI into data and engineering workflows (e.g., intelligent automation, improved observability, developer productivity), while maintaining engineering quality.

- Lead and coach engineers; set clear expectations, development plans, and a strong Engineering driven culture.

Knowledge & Experience / Qualifications:

- 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.

## Skills

### Required
- Python
- Dataflow
- Pub/Sub
- BigQuery
- Hadoop
- NiFi/Kafka
- RDBMS
- Cloud SQL
- GCP console
- BQ/GCS/Git
- Jenkins
- Airflow
- CI/CD
- Vertex AI
- LLM services

### Nice to have
- model deployment
- feature stores
- vector search
- embeddings
- streaming (Dataflow/Beam, Kafka)
- container platforms (GKE/Cloud Run)
- governance patterns for GenAI
- open-source vector DBs
- evaluation tooling
- Cloud certifications (GCP Professional Data Engineer / Cloud Architect)

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Source: [Apply at portal.careers.hsbc.com](https://portal.careers.hsbc.com/careers/job/563774612526271?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)