As a DevOps Engineer, I collaborate closely with managers and developers to ensure the smooth functioning of the division. My primary focus is on designing and implementing infrastructure as code while ensuring that application operations environments are optimized for scale, security, elasticity, redundancy, and recoverability.Key stacks- Provisioning multiple Kubernetes clusters on AWS EKS using vcluster.- Implementing autoscaling and cost optimization using Karpenter and KEDA.- Developing automation tools and leveraging serverless technologies to support operations and monitoring.- Enabling efficient CICD for Kubernetes deployments through ArgoCD.- Ensuring adherence to AWS Well-Architected best practices by utilizing Infrastructure as Code (IaC) with CDK Typescript.- Defining Kubernetes applications and creating reusable abstractions, along with standardizing Kubernetes manifests through CDK8S Typescript for easy application across various clusters.In addition to the stacks, I also provide extensive support in various areas:- Collaborating with the SRE team to ensure product quality, security, and high availability, along with efficient monitoring and critical alert systems.- Constructing a robust Data-pipeline platform for Business intelligence using Apache Airflow.- Mentoring and conducting sharing/training sessions to empower and enhance the capabilities of the DevOps team.Goals:- Optimize processes, enhance efficiency, and foster a culture of continuous improvement within the organization. - Contribute to the seamless functioning of operations and the successful delivery of projects.

As an AWS Solution Designer and Implementation Specialist, I am dedicated to providing automation tools, ensuring robust security measures, and supporting site reliability to achieve optimal performance.

- Create Dockerfiles and auto scripts to compile source code, deploy cluster swarm using docker container/ Kubernetes.- Integrate SystemD to software services to auto start and monitor service dependencies, it also helps to control the initial configuration to adapt multiple target environment.- Develop Split-brain prevention and recovery between controllers based on Raft Consensus Algorithm to maintain consistent key-value data in the presence of network partitions. Create test cases (JCAT R5) and Jenkins job (Eiffel) to perform full functional test of this feature based on Open Vswitch to split network partitions.- Develop Target campaign generator tool (Python language) which help to create campaign xml based on component YAML model and their plugins, the campaign xml is used to install/upgrade components.- Fix JIRA Cases which are reported from System integration test and consult customers resolving technical problems, installation, upgrading and explain system’s way of working.

- Develop Multi-blade service configuration and Multi-blade software management based on OpenSAF source code which provides high availability.- Develop Scale out/in multiple blades feature based on a template node.- Trouble shooting and resolve bugs for correction packages. Plus Schedule delivery project versions to customers. Manage product store (GASK, FTP, PIwin, X-CI, Artifactory).- Analysis and implement requirements/features from customers and responsible for continuous integration and product quality.- Develop and maintain test cases and framework of Function test and System test (JCAT R2/R5 framework) and responsible for CI/CD Jenkins (Eiffel). Support BlueTrain, RDA and LCT, these ones perform regression test for all components in CBA.- Perform all regression tests and light component tests (LCT) for CP versions.- Mentor new members and provide training courses to new comers, share new techniques/ project features.