Suresh is a DevOps Engineer with 5+ years of experience in building and supporting Docker and Kubernetes deployments in production. He leverages his expertise in AWS and Azure Cloud environments, implementing CI/CD pipelines and automating infrastructure using Terraform.
Expert in Docker and Kubernetes for container-based deployments.
Proficient in AWS and Azure cloud services for infrastructure management.
Skilled in Terraform for automating cloud infrastructure deployment.
Experienced in CI/CD pipeline management for microservices.
Strong monitoring capabilities using Grafana and AWS CloudWatch.
Successfully built and managed S3 Buckets, including policy management, and utilized S3 and Glacier for storage and backup on AWS.
Automated deployment of microservices by pulling images from private Docker registries and deploying to Kubernetes clusters.
Defined and implemented reusable Terraform modules for consistent infrastructure deployment across AWS and Azure, reducing manual errors.
Created robust CI/CD pipelines with integrated static code analysis, unit testing, and vulnerability scanning for Docker images across multiple projects.
Configured real-time monitoring and alerting solutions using Grafana and AWS CloudWatch to ensure optimal uptime and reliability.
Overview: TMCMF is an intuitive, surgeon-driven digital application that unites patient-focused healthcare and artificial intelligence to deliver customized 3D printed implants and trauma plates to global customers. Responsibilities: Created required CI/CD pipelines with static code analyzer, Unit test, and vulnerability scanning for Docker Image. Implemented Branching Strategy and code commit best practices for smooth production releases by discussing with Development and QA Team. Created Approval process on CI/CD pipelines before promoting to Production / Staging from respective Leads.
Key outcomes:
Created CI/CD pipelines with integrated static code analysis, unit testing, and vulnerability scanning for Docker images.
Implemented branching strategies and code commit best practices for smooth production releases.
Established an approval process for CI/CD pipelines to manage promotion to Production/Staging.
Overview: Gonife is a platform that helps deploy applications to the nearest edge server by determining latency and geo-location of end-users, providing different types of deployment using Docker and K8S. Responsibilities: Involved in setting up Development, Staging, and Production environments with Kubernetes service in AWS / Azure. Configured Ingress Controller, Namespaces, Volumes, Services, and Deployments in K8S.
Key outcomes:
Set up Development, Staging, and Production environments using Kubernetes on AWS/Azure.
Configured Kubernetes components including Ingress Controller, Namespaces, Volumes, Services, and Deployments.
Overview: Mydayda is a revolutionary digital platform connecting patients and healthcare teams to increase patient engagement, improve health outcomes, and reduce healthcare burdens and costs. Responsibilities: Involved in setting up Development, Staging, and Production environments with Kubernetes service in AWS / Azure. Created Approval process on CI/CD pipelines before promoting to Production / Staging from respective Leads.
Key outcomes:
Established Development, Staging, and Production environments using Kubernetes service in AWS/Azure.
Implemented an approval process within CI/CD pipelines for controlled promotion to Production/Staging.
Overview: This health care application creates a scalable, multi-tenant SaaS solution for pregnancy risk assessment, deployed on the AWS cloud, based on an existing prototype from DxD Hub. Responsibilities: Automated business administrative infrastructure through the implementation of CI/CD pipelines utilizing the AWS Cloud Development Kit (CDK). Automated TenantAdmin infrastructure through the implementation of CI/CD pipelines utilizing the AWS Cloud Development Kit (CDK).
Key outcomes:
Automated business and TenantAdmin infrastructure using CI/CD pipelines with AWS CDK.
Deployed Tenant admin infrastructure to EKS using ALB and Traefik.
Suresh
Azure DevOps Engineer