What Jobs are available for Platform Engineer in Hong Kong?

Application Deadline:
13 October 2025

Department:
Technology-CIO

Location:
Hong Kong (SAR)

Description
About Mox
Mox is built by and for the ones who aspire to live life to the fullest – we call them Generation Mox The name Mox reflects the endless opportunities we can create, - Mobile eXperience; Money eXperience; Money X (multiplier), eXponential growth, eXploration… it's all up for us to define together.

Why Mox
Mox helps you grow – your money, your world, your possibilities. We equip you with the financial management tools, information and insights you need to make your dreams, big or small, come true. Everything at Mox – from our products, features, to rewards – is designed based on customer research, tailor made for your needs. We care about what customers care about, especially in data security and privacy. Data ethics is core to everyone here at Mox. Mox rewards you with an array of banking and lifestyle benefits.

Together we create a new standard in banking. We are always looking for awesome people who can work with us on this adventurous journey

Who are we looking for?
We're looking for a Platform Engineer to work on site with our development team in Hong Kong.

As a Platform Engineer you'd be able to work on and solve some of the many interesting challenges we are facing in Cloud deployment, automation and data management, learn new ways of working, and build delightful high-quality products for our customers.

Responsibilities

• Collaborate closely with our development and product teams in our fast-paced delivery environment.
• Build and manage a modern, automated, cloud-native, continuous delivery pipeline.
• Build and manage the cloud resources for our business to use.
• Understand and provide the security, compliance, regulation of banking systems.

Requirements

• Minimum 8 years of software development exp required.
• Knowledge of technology best practices for building a modern automated DevOps platform.
• Good understanding of technologies and experience in building a highly scalable and fault tolerant system.
• Self-starter, capable of working without direction and able to deliver projects from scratch.
• DevOps toolchain experience (GitHub, CircleCI, Artifactory, SonarQube).
• CICD tools hands-on experience (Spinnaker, Ansible, Chef).
• Cloud computing deployment and management experience (AWS (preferred), GCP, Azure) via Infrastructure as Code tools (Terraform, CloudFormation, Pulumi).
• Container management and container orchestration experience – Docker, Kubernetes.
• Monitoring tools Elastic Stack, Prometheus, Grafana, Datadog.
• Strong knowledge of Linux/UNIX and TCP/IP Subnet.
• Strong understanding and practice Agile/Lean projects SCRUM, KANBAN etc.
• Practical knowledge with Git flow, Trunk and GitHub flow branching strategies.
• Strong English communication skills.
• Scripting skills (e.g., shell scripts, Perl, Ruby, Python) as an advantage

Desirable

• Distributed system knowledge applicable to a microservice architecture.
• Breadth of knowledge – operating systems, networking, distributed computing, cloud computing.
• Certified in cloud computing (professional levels: Solution architect, DevOps engineer, Security, Network).

All personal data provided by applicants will be used for recruitment and other employment-related purposes only. Personal data of unsuccessful applicants will be erased within 24 months of rejection of the applicant's application.

Key Responsibilities:

• Implement automated data engineering frameworks using medallion architecture via Delta Lake for reliable and harmonized data transformations at scale, leveraging Databricks and Apache Spark (PySpark, Spark SQL) for distributed data processing and transformation.
• Monitor and optimize pipeline performance using autoscaling, caching, and cost-effective strategies.
• Automate platform lifecycle management using scripting (Python, Terraform, PowerShell) and CI/CD pipelines (Azure Pipelines), enabling rapid resilience and secure deployment of data products and platform features.
• Establish and automate governance and quality frameworks aligned with platform principles, standards, and guardrails.
• Develop and manage robust ETL/ELT workflows (APIs, databases, files, streaming sources) for both batch and real-time processing, ensuring high data quality and reliability.

Required Experience:

• More than 6 years of proven experience building and scaling regional data platforms on Microsoft Azure with expertise in Databricks, Apache Spark (PySpark, Spark SQL), Python, SQL, Microsoft Fabric, Azure Data Factory, ADLS Gen2, Power BI, and Azure Functions.
• Strong experience in data product lifecycle development.
• Proficient in Git, Azure DevOps, CI/CD, and source control, including Databricks Asset Bundles.
• Expertise in developing and managing automation capabilities using Azure Pipelines, Python, PySpark, and PowerShell.
• Proven ability to identify, troubleshoot, and resolve complex technical issues with automated solutions.
• Strong understanding of security and compliance principles with the ability to provide guidance and oversight.
• Experience enabling AI/ML use cases on the platform (feature pipelines, model inference, data flows, serving ML outputs for downstream analytics) is highly valued.
• Experience working in the retail, luxury, or consumer industry is preferred.
• Excellent written and verbal communication skills in English, with the ability to work effectively in a globally distributed team.
• Experience producing high-quality documentation, including technical specifications, functional specifications, and user playbooks.
• Experience working within the SAFe Agile framework, driving design reviews, demos, and user training.

Education

• Bachelor's degree in Computer Science, IT, or a related field.
• Certifications in data engineering or related technologies are highly valued.
• Certifications in Databricks and Azure are highly preferred, e.g. Azure Solutions Architect Expert, Databricks Certified Data Engineer Associate.

My client is looking for a skilled and hands-on AI Platform Engineer to join their team and drive the development of AI applications, particularly those related to data centre operations. This role requires a strong technical foundation in AI, experience in deploying scalable solutions, and the ability to communicate effectively across multilingual teams.

Key Responsibilities

• Design, develop, and deploy AI applications focused on data centre optimization, monitoring, and automation.
• Collaborate with cross-functional teams to integrate AI solutions into existing infrastructure.
• Build and maintain scalable AI platforms and pipelines.
• Ensure high performance, reliability, and security of AI systems.
• Translate business requirements into technical solutions using AI/ML technologies.

Requirements

• Proven hands-on experience in building and deploying AI applications.
• Strong understanding of data centre operations and infrastructure.
• Proficiency in Python, TensorFlow, PyTorch, or similar AI frameworks.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Excellent problem-solving skills and ability to work independently.
• Fluent in Cantonese, Mandarin, and English, both written and spoken.

Please note that only shortlisted candidates will be notified. All information gathered will be treated in strictly confidential and solely used for recruitment purpose

Key Responsibilities:

• Implement automated data engineering frameworks using medallion architecture via Delta Lake for reliable and harmonized data transformations at scale, leveraging Databricks and Apache Spark (PySpark, Spark SQL) for distributed data processing and transformation.
• Monitor and optimize pipeline performance using autoscaling, caching, and cost-effective strategies.
• Automate platform lifecycle management using scripting (Python, Terraform, PowerShell) and CI/CD pipelines (Azure Pipelines), enabling rapid resilience and secure deployment of data products and platform features.
• Establish and automate governance and quality frameworks aligned with platform principles, standards, and guardrails.
• Develop and manage robust ETL/ELT workflows (APIs, databases, files, streaming sources) for both batch and real-time processing, ensuring high data quality and reliability.

Required Experience:

• More than 6 years of proven experience building and scaling regional data platforms on Microsoft Azure with expertise in Databricks, Apache Spark (PySpark, Spark SQL), Python, SQL, Microsoft Fabric, Azure Data Factory, ADLS Gen2, Power BI, and Azure Functions.
• Strong experience in data product lifecycle development.
• Proficient in Git, Azure DevOps, CI/CD, and source control, including Databricks Asset Bundles.
• Expertise in developing and managing automation capabilities using Azure Pipelines, Python, PySpark, and PowerShell.
• Proven ability to identify, troubleshoot, and resolve complex technical issues with automated solutions.
• Strong understanding of security and compliance principles with the ability to provide guidance and oversight.
• Experience enabling AI/ML use cases on the platform (feature pipelines, model inference, data flows, serving ML outputs for downstream analytics) is highly valued.
• Experience working in the retail, luxury, or consumer industry is preferred.
• Excellent written and verbal communication skills in English, with the ability to work effectively in a globally distributed team.
• Experience producing high-quality documentation, including technical specifications, functional specifications, and user playbooks.
• Experience working within the SAFe Agile framework, driving design reviews, demos, and user training.

Education

• Bachelor's degree in Computer Science, IT, or a related field.
• Certifications in data engineering or related technologies are highly valued.
• Certifications in Databricks and Azure are highly preferred, e.g. Azure Solutions Architect Expert, Databricks Certified Data Engineer Associate.

Key Responsibilities:

• Implement automated data engineering frameworks using medallion architecture via Delta Lake for reliable and harmonized data transformations at scale, leveraging Databricks and Apache Spark (PySpark, Spark SQL) for distributed data processing and transformation.
• Monitor and optimize pipeline performance using autoscaling, caching, and cost-effective strategies.
• Automate platform lifecycle management using scripting (Python, Terraform, PowerShell) and CI/CD pipelines (Azure Pipelines), enabling rapid resilience and secure deployment of data products and platform features.
• Establish and automate governance and quality frameworks aligned with platform principles, standards, and guardrails.
• Develop and manage robust ETL/ELT workflows (APIs, databases, files, streaming sources) for both batch and real-time processing, ensuring high data quality and reliability.

Required Experience:

• More than 6 years of proven experience building and scaling regional data platforms on Microsoft Azure with expertise in Databricks, Apache Spark (PySpark, Spark SQL), Python, SQL, Microsoft Fabric, Azure Data Factory, ADLS Gen2, Power BI, and Azure Functions.
• Strong experience in data product lifecycle development.
• Proficient in Git, Azure DevOps, CI/CD, and source control, including Databricks Asset Bundles.
• Expertise in developing and managing automation capabilities using Azure Pipelines, Python, PySpark, and PowerShell.
• Proven ability to identify, troubleshoot, and resolve complex technical issues with automated solutions.
• Strong understanding of security and compliance principles with the ability to provide guidance and oversight.
• Experience enabling AI/ML use cases on the platform (feature pipelines, model inference, data flows, serving ML outputs for downstream analytics) is highly valued.
• Experience working in the retail, luxury, or consumer industry is preferred.
• Excellent written and verbal communication skills in English, with the ability to work effectively in a globally distributed team.
• Experience producing high-quality documentation, including technical specifications, functional specifications, and user playbooks.
• Experience working within the SAFe Agile framework, driving design reviews, demos, and user training.

Education
- Bachelor's degree in Computer Science, IT, or a related field.
- Certifications in data engineering or related technologies are highly valued.
- Certifications in Databricks and Azure are highly preferred, e.g. Azure Solutions Architect Expert, Databricks Certified Data Engineer Associate.

#LI-AL1

My client is looking for a skilled and hands-on AI Platform Engineer to join their team and drive the development of AI applications, particularly those related to data centre operations. This role requires a strong technical foundation in AI, experience in deploying scalable solutions, and the ability to communicate effectively across multilingual teams.

Key Responsibilities

• Design, develop, and deploy AI applications focused on data centre optimization, monitoring, and automation.
• Collaborate with cross-functional teams to integrate AI solutions into existing infrastructure.
• Build and maintain scalable AI platforms and pipelines.
• Ensure high performance, reliability, and security of AI systems.
• Translate business requirements into technical solutions using AI/ML technologies.

Requirements

• Proven hands-on experience in building and deploying AI applications.
• Strong understanding of data centre operations and infrastructure.
• Proficiency in Python, TensorFlow, PyTorch, or similar AI frameworks.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Excellent problem-solving skills and ability to work independently.
• Fluent in Cantonese, Mandarin, and English, both written and spoken.

Please visit Adecco website with the below link for application:

Please note that only shortlisted candidates will be notified.  All information gathered will be treated in strictly confidential and solely used for recruitment purpose

• Install, configure, and maintain Kubernetes clusters
• Ensure the high availability, scalability, and reliability of Kubernetes

About Our Client
Equities Technology solve some of the most interesting and complex challenges in the financial industry to help our global business and its customers succeed. Shipping code early and often using Agile and DevOps principles is critical for us to deliver business value, with continuous improvement and learning at the centre of everything we do.

Job Description

• Install, configure, and maintain Kubernetes clusters (on-premises or cloud-based), including upgrade and patch management
• Ensure the high availability, scalability, and reliability of Kubernetes environments, with optimized system resources
• Manage and troubleshoot deployments using Helm charts, manifests, or other CI/CD tools
• Maintain detailed documentation of Kubernetes configurations and operational processes.

The Successful Applicant

• Proficiency in managing Kubernetes clusters using tools such as kubectl, Helm, or Kustomize
• In-depth knowledge of container technologies, including Docker
• Experience with cloud platforms (AWS, GCP, Azure) and Kubernetes services (EKS, GKE, AKS)
• Understanding of infrastructure-as-code (IaC) tools such as Terraform or CloudFormation

What makes you stand out?

• Experience with monitoring tools like Prometheus, Grafana, or Datadog
• Knowledge of centralized logging systems like Fluentd, Logstash, or Loki
• Experience with CI/CD pipelines using Jenkins, GitLab, or similar tools, and scripting languages such as Bash, Python, or Go

What's on Offer

• We help you be your best through professional development opportunities, interesting work and supportive leaders.
• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
• Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Contact: Royce Chan
Quote job ref: JN

• Solution Design: Analyze requirements, architect, and design solutions using Power Platform (Power Apps, Power Automate—including RPA, Copilot Studio, Power BI, Microsoft Fabric, Azure, Azure AI Foundry).
• Development & Implementation: Build, configure, and integrate applications and automation workflows; ensure robust, scalable, and secure solutions.
• Testing: Conduct unit, integration, and user acceptance testing to ensure quality deliverables.
• AI Integration: Support and innovate on AI-related projects, including predictive analytics, intelligent document processing, and generative AI functionalities.
• Collaboration: Work closely with project managers, business analysts, solution architects, testers, and stakeholders across multiple time zones.
• Quality Assurance: Adhere to best practices in code reviews, design standards, and testing processes; contribute to internal governance and status reporting.
• Continuous Improvement: Identify opportunities to streamline processes and improve solution quality using automation and AI techniques (e.g., DevOps, CI/CD, automated testing, AI-assisted development).
• Documentation: Maintain clear technical documentation and contribute to knowledge management.

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Proven experience in low-code and automation software development, especially with Microsoft Power Platform.
• Strong technical proficiency in Power Apps, Power Automate (including RPA), Power BI, Copilot Studio, Azure, and related technologies.
• Experience in solution design, system integration, and architecture for scalable enterprise solutions.
• Solid understanding of quality assurance practices, including test automation.
• Ability to operate independently in a complex, matrixed organization and manage multiple concurrent projects.
• Excellent communication and collaboration skills; ability to work across cultures and time zones.

• Certifications in relevant technologies (e.g., Microsoft Power Platform, Azure) are highly desirable.

• Solution Design: Analyze requirements, architect, and design solutions using Power Platform (Power Apps, Power Automate—including RPA, Copilot Studio, Power BI, Microsoft Fabric, Azure, Azure AI Foundry).
• Development & Implementation: Build, configure, and integrate applications and automation workflows; ensure robust, scalable, and secure solutions.
• Testing: Conduct unit, integration, and user acceptance testing to ensure quality deliverables.
• AI Integration: Support and innovate on AI-related projects, including predictive analytics, intelligent document processing, and generative AI functionalities.
• Collaboration: Work closely with project managers, business analysts, solution architects, testers, and stakeholders across multiple time zones.
• Quality Assurance: Adhere to best practices in code reviews, design standards, and testing processes; contribute to internal governance and status reporting.
• Continuous Improvement: Identify opportunities to streamline processes and improve solution quality using automation and AI techniques (e.g., DevOps, CI/CD, automated testing, AI-assisted development).
• Documentation: Maintain clear technical documentation and contribute to knowledge management.

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Proven experience in low-code and automation software development, especially with Microsoft Power Platform.
• Strong technical proficiency in Power Apps, Power Automate (including RPA), Power BI, Copilot Studio, Azure, and related technologies.
• Experience in solution design, system integration, and architecture for scalable enterprise solutions.
• Solid understanding of quality assurance practices, including test automation.
• Ability to operate independently in a complex, matrixed organization and manage multiple concurrent projects.
• Excellent communication and collaboration skills; ability to work across cultures and time zones.

• Certifications in relevant technologies (e.g., Microsoft Power Platform, Azure) are highly desirable.