Associate Director, Software Engineering

Brand:  HSBC
Area of Interest:  Technology
Location: 

Guangzhou, GD, CN, 510620

Work style:  Hybrid Worker
Date:  8 May 2026

Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.

 

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

 

Business: CTO Data Technology

 

Principal responsibilities

• Technical leadership & delivery
• Own solution design and engineering execution from discovery through build, test, release and run.
• Translate business requirements into technical architecture, delivery plans, and measurable outcomes.
• Lead engineering standards for code quality, performance, reliability, observability, and cost efficiency.
• Provide hands-on contribution for critical components (proofs-of-concept, core services, pipelines, LLM orchestration).
• Data engineering & database expertise
• Design and optimise data models, schemas, and query patterns for analytical and operational workloads.
• Build and maintain data pipelines that are reliable, scalable, and auditable.
• Apply strong SQL and database fundamentals (partitioning, indexing concepts, query optimisation, data lineage).
• GCP-based implementation (hands-on)
• Build solutions using GCP services such as:
• BigQuery (data warehousing, optimisation, governance patterns)
• Pub/Sub (event-driven ingestion and streaming patterns)
• Cloud Composer / Airflow (workflow orchestration, scheduling, dependency management)
• (Nice to have) Cloud Storage, Dataflow, Cloud Run/GKE, Secret Manager, IAM, Vertex AI
• Implement CI/CD and infrastructure-as-code aligned to enterprise controls.
• Data quality, controls and “balance checks”
• Define and implement data quality frameworks (completeness, accuracy, timeliness, consistency, uniqueness).
• Build automated reconciliation/balancing checks across sources and downstream outputs.
• Establish monitoring, alerting, and reporting for data quality SLAs.
 
 

Knowledge & Experience / Qualifications:

 
• Strong engineering background with significant experience delivering data-intensive platforms/products.
• Deep SQL and data modelling expertise; strong understanding of data lifecycle and governance.
• Hands-on delivery experience on GCP, specifically BigQuery, Pub/Sub, and Airflow/Composer.
• Proven experience implementing data quality controls, reconciliation, and operational monitoring.
• Practical experience delivering LLM/GenAI solutions (RAG, evaluation, guardrails, prompt engineering, orchestration).
• Strong software engineering fundamentals (Python/Java preferred), APIs, microservices, testing, CI/CD.
• Experience leading teams and owning delivery in complex, regulated environments.

 

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.

 

Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. 

 

***Issued By HSBC Software Development (GuangDong) Limited***