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

Swing Consulting Ltd.; Hong Kong; On-site; HKD 279,000 - 390,600; Full time

Benefits offered by this job

10-20 Days Annual Leave

5-day Work Week

Job summary

A leading consulting firm is looking for a Platform Engineer to enhance their AI Platform and Data Lakehouse. You will automate operations and develop integrations with existing systems, ensuring efficient deployment and monitoring of applications. Candidates should have a strong background in platform development, experience with cloud technologies, and excellent communication skills in Cantonese, English, and Mandarin. The role offers a competitive salary range of 25-35K, based on experience, along with annual leave benefits.

Qualifications

• At least 4 years of experience in platform / backend development.
• Experience in delivery of AI platform or data platform in a large-scale enterprise environment.
• Knowledge of DataOps/MLOps is a must.

Responsibilities

• Assist in the day-to-day operation of the AI Platform and Data Lakehouse.
• Contribute in AI Platform and Data Lakehouse development, including monitoring and deployment.
• Develop services and integrate them with internal and external APIs.

Skills

Python

Bash

SQL

Docker

Terraform

Helm

Kubernetes

Jenkins

Git

Ansible

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

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