This company founded by KubeOps Skills restructuring.

- Architected and deployed high-performance data streaming solutions on Azure Kubernetes Service, leveraging Confluent Kafka to drive data analytics, order event management, and advanced application troubleshooting,​ handling over 100 million message events daily with Confluent Kafka.- Developed robust continuous delivery pipelines, encompassing Confluent​ Kafka​broker provisioning, user creation, and topic management.- Spearheaded the implementation of infrastructure as code using Terraform, supporting comprehensive landing zone components on various platforms like Azure, Huawei CCE, and Google Cloud.- Crafted and implemented CI/CD frameworks for microservices, promoting GitOps workflows and fostering self-service strategies.- Conducted extensive technical analysis and issue resolution in both non-production and production environments, delivering scalable, efficient, and reliable solutions.

- Implemented environment migration solution from AWS ECS to Kubernetes using KOPS and blue green deployment strategy- Provided GitOps flow and self service strategy to the team to break down silos and cut off product delivery time- Designed and implemented solutions for Kubernetes cluster for high availability and scalability- Implemented a maven plugin to provide the ability to generate dynamic Kubernetes deployment manifests per environment for Spring Cloud- Helped the team to develop AWS Secrets Resolver which helps to resolve any secrets from AWS Secret Manager to non Spring Cloud applications on Kubernetes - Created documentation and helped other team members become familiar with the new stack (Microservice with Spring Cloud Kubernetes)- Provided fast feedback development experience on Kubernetes for the team using Skaffold- Supported to setup AWS instance scheduler to reduce AWS cost around 30-50% after working hours- Helped to train Robot framework to other team members to provide team capabilities in automated quality assurance

Developed a self-service platform for microservice developers utilizing Jenkins and Python for deployment utilities, reducing application delivery time by 3-4 hours daily.- Created an automated end-to-end testing framework for Line Bot, designed to be user-friendly for non-developers.- Developed a starter pack for microservices, ensuring seamless delivery on Kubernetes.Implemented a CI/CD framework for a Chatbot application, facilitating the delivery of Lambda function packages and deployment to Amazon API Gateway.- Engineered a CI/CD framework for a Data Integration platform on Azure Data Factory, supporting all Big Data environments (DEV, SIT, UAT, PROD) with modular capabilities for easy project integration.- Provisioned an environment for an automated testing framework using Katalon, incorporating spin-up and spin-down concepts for Jenkins Docker slaves.

- Developed an intelligent parking system to optimize parking time using Spring Cloud and OpenALPR (Automatic License Plate Recognition).- Assisted team members in setting up ELK for logging and monitoring.- Implemented Zipkin for Spring Cloud distributed tracing.- Conducted technical analysis and resolved bugs/defects identified during UAT.- Developed admin web components using Vaadin to enhance company admin console solutions.

- Developed an Android application utilizing MVP (Model-View-Presenter) architecture for a fashion clothes Tinder-like application.- Managed authentication services using Amazon Cognito.- Created Java microservices with Spring Boot, Gradle, and AWS SNS.- Handled API management through Amazon API Gateway.- Conducted technical analysis and resolved bugs/defects identified in alpha and production stages.

- Designed and developed CDGS Java web framework which supports Object Relational Mappings (ORM), User Authentication and Authorization (LDAP, Database Authentication, JWT-RSA Authentication) based on Java EE 8, EJB- Designed and developed CDGS Java frontend web components using JSF with key features: - Lazy Loading - Muti Concurrency against 100 to 200 connections