Platform Engineer (Data Platform, AI, 25-35K)

SW8865 |14 Apr 2026 Platform Engineer (Data Platform, AI, 25-35K)

Responsibilities

• Assist in, and automate whenever possible, the day-to-day operation of the AI Platform and Data Lakehouse.
• Contribute in AI Platform and Data Lakehouse development, including monitoring, logging and deployment of proprietary, open-source or in-house developed applications.
• Develop services and integrate them with internal and external APIs / MCPs.
• Identify and evaluate new technologies that improve performance maintainability and scalability of our infrastructure.
• Conduct platform proof-of-concept (PoC) and acceptance testing.
• Provide visibility into the structure, state and performance of the AI platform and Data Lakehouse.
• Work closely with Architects, Platform Engineers and Product Owners to deliver software in a continuous delivery environment.
• Work closely with AI Engineer, Data Engineer and business stakeholders to assist in the development and deployment of AI application and data pipeline.

Qualifications

• Degree holder in computer science, software engineering, or related fields.
• At least 4 years of experience in platform / backend development.
• Experience in the following technology stack is a must:
  • Scripting: Python, Bash, SQL;
  • Infrastructure: Docker, Terraform, Helm, Kubernetes;
  • CICD: Jenkins, Git, Ansible
• Experience in delivery of AI platform or data platform in a large-scale enterprise environment is a must.
• Knowledge of DataOps/MLOps is a must.
• Experience in public cloud platform (AWS, Azure, AliCloud).
• Experience in the following technology stack is preferable:
  • Monitoring: Grafana, Loki, Prometheus;
  • Test Framework: jMeter, jUnit, PyTest;
  • Vector DB: Weaviate, Milvus, ElasticSearch, Qdrant, etc.;
  • AI Orchestration: Langchain, LlamaIndex, LangGraph etc.;
  • AI Platform: Jupyter, MLFlow, Ray, vLLM, Dify;
  • Data Lakehouse: Airflow, Spark, Hive Metastore, Iceberg;
  • DevSecOps Suite: JIRA, Sonar, Nexus, Harbor, etc.
• Experience in working with an international team, with solid grounding in financial service is a plus.
• Excellent communication skills in Cantonese, English, and Mandarin.

Benefits

• 25-35K Depends on Experience
• 10-20 Days Annual Leave
• 5-day Work Week