Working as cloud architect in project Heroku migration, design cloud systems on AWS then work with other teams to move all legacy systems from Heroku into AWS with zero issues. Propose and apply Terragrunt and Terraform as infras as code for all resources on AWS, help improve code structure, optimize Terraform execution time and reduce repeated code. Improve and refactor CI/CD pipeline Build and apply observability platform, to monitor, logging and tracing all services within AWS Build database monitoring solution, optimize and improve database performance Define SLI, establish SLO for services and setting up alert Build on-call culture, apply and training incident management for organization Architect for system in WebMD datacenter in US, design how migrate from AWS into those datacenter Participate in ISO internal and external audit

Working with infrastructure of Chotot, Mudah and Carousel on GCP, AWS and on on premise data center Deploy and manage Kubernetes cluster with more than 20 nodes, 200 microservice and cronjob, almost 3000 pods, handle 300 millions request per month Cloud architect for Chotot and Mudah the purpose of this is try to merge cloud infras of two company together Define Infrastructure as code framework use for both Chotot and Mudah, working on two cloud GCP and AWS Working on cloud migration project, migrate about 200 micro service, more than 30 database, cache, message queue running on Viet Nam datacenter to Google Cloud Platform Build chat platform for Chotot, Mudah and Carousell. Its support Carousel replaced Twilio chat, cutting a lot of cost for chat. Working with PO and other teams to establish SLI and SLO Define incident management process, setup incident management, and participate in on call process Develop developer portal, this portal handling CI/CD instead of using Github action or Travis CI. It's also a GitOps tool like ArgoCD, which manages and deploys resources on Kubernetes. Standardized CI/CD flow and build new CI/CD system for Chotot and Mudah, developer portal is a part of this phase Develop a tool to auto generate version based on business requirements from Head of Tech Build secret management system for Chotot and Mudah Troubleshoot and analyze database performance Develop incident management tool, it's like Opsgenie but more simpler Work with security team apply zero trust solution for Chotot and Carousell Consultant and work with data team build data warehouse, data processing pipeline Consultant and support software team examine and choosing technical stack for new services Work with Mudah SRE apply GitOps for Ansible, application configuration, Terraform Work with Mudah SRE build new monitoring solution for Chotot and Mudah, it's can store and query monitor data within 3 years Consult technical solution for Engineer Manager and Head of Tech Examine and optimize cloud cost Recruit and training new members

Responsibility for product reliability Build and maintain monitoring system, it support query data within 2 years Build and maintain logging system, store logs in 1 years for audit and debug Automation provision AWS, GCP resource with Terraform, apply CI/CD for Terraform code Apply infrastructure as code for Cloudflare config Automation configuration server with Ansible, make sure all component in the system have to have automation Optimize, build new CI/CD flow and build an CI/CD framework Develop some tool for optimize cost for testing and UAT environment Build an secret management system and define a flow to apply to running services Consultant for Data Team, build data processing and Bl system Propose API Gateway solution, presents with technical architect team, protect solution and apply this solution for production environment Propose GitOps solution, presents with technical architect and apply this solution for production environment

Build data platform, total storage is more than 2 PB, each day process about 500 GB data Deploy and maintain bare metal Kubernetes 16 nodes about 500 cpus and 1 TB memory with more than 700 pods Deploy and maintain Prometheus with Consul as service discovery Design Grafana dashboard, write PromQL to query and visualize for all service Deploy and maintain ELK cluster with monthly data input more than 200 GB Observe, weekly review monitoring metrics whole server Observe, audit log in system, detect unusual events Deploy and maintain databases as a service: Postgres, MySQL, Redis,... Build and optimize docker images for software in platform Deploy and maintain: Hadoop, Yarn, Airflow, Zeppelin, Jupyter, Metabase, Presto, Kafka,.. Maintain Ceph cluster Deploy application on Kubernetes with GitOps Develop new data processing solutions for data teams such as Spark streaming consume from Kafka. Use Delta lake and S3 to replace Hadoop. Working with data team makes sure data comes to Hadoop enough and in time Work with product team determine SLI and define SLO for services in whole system: four gold signal, SLA chart, alerting when miss SLA

Responsible for construct CI/CD system Deploy and monitor application system Develop backend for product Deploy and maintain resources on customer cloud (AWS and GCP) Deploy and maintain bare metal Kubernetes Construct CI/CD system for application, apply canary and blue green deployment Deploy and maintain Gitlab, MySQL, Proxy Design and implement monitor as a service system Monitor infrastructure with Prometheus, Grafana Write laaS for AWS resource, deploy and maintain AWS resource