朱泓勳 Jerome

Backend Engineer

HONGROCK Information LTD.   •  Feb 2021 - Present

Hybrid Cloud Management Platform

1. A cloud resource management product for medium-sized enterprises, integrating cloud platforms such as AWS, GCP, Alibaba Cloud, and self-hosted OpenStack and vCenter into a unified service platform.
2. Integration with Wazuh to achieve security hardening, vulnerability detection, intrusion detection, cloud security, log data analysis.
3. Utilizing Zabbix, Prometheus, SaltStack, and Cobbler for automated provisioning and monitoring tasks.

CI/CD System

1. Managing application delivery workflows for various products, integrating CICD Tool such as Jenkins, Spinnaker, Rancher, and Kubernetes to achieve continuous delivery and containerized deployment, enhancing system reliability and stability.
2. Automated log collection using Elasticsearch, Logstash, and Kibana to analyze application logs for timely issue detection and resolution.
3. Utilizing Apollo configuration center for configuration management and dynamic updates in distributed systems.

Domain Management Platform

1. A system developed based on Bind 9 DNS, integrating with multiple domain providers for tasks such as registering new domains, transferring domains, updating registration information, and managing domain settings (e.g., DNS configuration, domain linking, etc.).
2. Integration with CDN services to provide global content distribution, enhancing website and application performance.
3. Integration with FortiGate and Netscaler load balancers for designing and managing highly available and scalable network architecture.

Data and DevOps Engineer

LOCUS Marketing Technology  •  Apr 2019 - Feb 2021

Cloud infrastructure setup and maintenance

1. Migrating services to Azure and deploying them using Azure Kubernetes Service. Handling cluster resource provisioning, upgrades, and adjustments as needed to validate initial business models.
2. Establishing backup and disaster recovery mechanisms, deploying snapshot and off-site synchronized backup deployments to ensure service continuity even during major disasters.
3. Building an advertising data platform, machine learning, and backend services using AWS Lambda, leveraging serverless services to reduce service costs by 60%.

Data-related tasks

1. Developing a geolocation data query system using PostGIS and Google Maps API, enabling real-time geolocation determination and message delivery.
2. Collaborating with APIs and mobile device apps to collect relevant data, utilizing queues to improve mobile device performance and achieve a 30% reduction in response time.
3. Utilizing SVM machine learning to analyze advertising effectiveness and user tagging with an accuracy rate of up to 74%.