Platform Engineer (AI / Data Platform, 30-40K)

Swing Consulting Ltd.; Hong Kong; On-site; HKD 334,800 - 446,400; Full time

Benefits offered by this job

30-40K Depends on Experience

10-20 Days Annual Leave

5-day Work Week

Job summary

A technology consultancy in Hong Kong seeks a skilled candidate for backend development in AI platforms. You will enhance day-to-day operations of the AI Platform and Data Lakehouse, develop services, and conduct proof-of-concept tests. The ideal candidate holds a degree in computer science and has extensive experience in platform development, particularly in AI and data environments. Proficiency in Python, Docker, AWS, and excellent communication skills in Cantonese and English are required.

Qualifications

• At least 4 years of experience in platform or backend development.
• Experience in delivering AI or data platforms in large-scale enterprise environments.
• Excellent communication skills in Cantonese, English, and Mandarin.

Responsibilities

• Assist in day-to-day operation of the AI Platform and Data Lakehouse.
• Contribute to AI Platform and Data Lakehouse development.
• Develop services and integrate them with internal and external APIs.
• Conduct platform proof-of-concept testing.

Skills

Python

Bash

SQL

Docker

Terraform

Helm

Kubernetes

Jenkins

Git

Ansible

DataOps

MLOps

AWS

Azure

AliCloud

Grafana

Loki

Prometheus

jMeter

jUnit

PyTest

Weaviate

Milvus

ElasticSearch

Qdrant

Langchain

LlamaIndex

LangGraph

Jupyter

MLFlow

Ray

vLLM

Dify

Airflow

Spark

Hive Metastore

Iceberg

JIRA

Sonar

Nexus

Harbor

Education

Degree in computer science, software engineering, or related fields

Job description

SW5959 |16 Apr 2026

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 & Experience

• 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

• 30-40K Depends on Experience
• 10-20 Days Annual Leave
• 5-day Work Week