Dilip Kumar

Engineered optimized Dockerfiles for web applications, significantly reducing image sizes and streamlining artifact storage in Azure Container Registry (ACR) for efficient downstream deployments.

Automated Azure DevOps agent scaling by implementing KEDA Scaled Jobs, successfully transitioning from dev to production environments to optimize resource utilization.

Deployed and maintained CI/CD (Continuous Integration/ Continuous Deployment) pipelines across Cloud Platforms like Azure, AWS, and GCP (Google Cloud Platform) using Azure DevOps, Jenkins, and GitHub.Resolved critical production issues for applications like My Source, collaborating cross-functionally with Dev, App Management, and DB teams, including identifying and mitigating daily server load spikes caused by log generation.

Deployed infrastructure using AWS CloudFormation, EC2, S3, RDS, EBS, Route53, IAM, Lambda, ECS, VPC, Auto Scaling, CloudWatch, and CloudTrail.Deployed comprehensive monitoring solutions with Azure Monitor and Dynatrace, enabling proactive anomaly detection and performance issue resolution across cloud environments.

Developed and optimized CI/CD pipelines using Azure DevOps, initiating the integration of Jenkins within Kubernetes and Docker environments to streamline build, test, and deployment workflows.

Troubleshot and resolved deployment failures in AKS and EKS clusters by analyzing pod logs, events, and network issues, optimizing resource limits and quotas for enhanced stability.

Managed and resolved ServiceNow incidents across both production and non-production environments on Azure and AWS, significantly reducing downtime and ensuring rapid issue resolution.

Engineered and implemented Blue-Green deployment strategies and automated rollback mechanisms for AKS-based services, minimizing deployment risk and ensuring business continuity during production changes.

Integrated Dynatrace for real-time monitoring and configured automated alerts to trigger ServiceNow tickets for critical storage, service, and resource (CPU/memory) issues, enhancing incident response.

Managed Windows and Red Hat Linux servers, troubleshooting IP issues to reduce deployment failures by 15% and providing critical support to multiple application teams using ServiceNow and Jira.

Automated various AWS services like IAM, Security Groups, NACL, EC2, VPC, RDS, S3, CloudFront, Lambda, CloudWatch, EBS, DynamoDB, ACM, Route53, ECS, Budgets, VPC endpoints, redshift and other services using Terraform Reusable Modules. • Set up AWS infrastructure for tax apps using EC2, S3, EBS, EKS, and RDS for high availability and cost savings.Designed and implemented robust backup methodologies for Azure Services (SQL DB, Key Vault, Storage blobs, App Services, Service Bus, Postgres SQL, Cosmos DB) using PowerShell and JavaScript, leveraging ARM templates and RBAC policies.

Automated critical workflows using Azure Logic Apps and developed serverless applications with Azure Functions, establishing comprehensive disaster recovery and failover plans for high availability.

Monitored infrastructure and APIs using Prometheus, Grafana, Dynatrace.Automated backup, restore, and retention strategies for SQL Server, PostgreSQL, and MySQL databases using PowerShell and Azure/AWS CLI.Optimized CI/CD pipelines within Azure DevOps, improving build plan efficiency by 40% and accelerating delivery processes across Non-Production and Production environments as part of the SDLC.

Architected and configured secure Azure Virtual Networks (V-Nets), Subnets, NSGs, DNS settings, and routing policies, including setting up AKS clusters with Blue-Green deployment strategies via Azure CLI.

Directed the migration of on-premises applications from VMware/vSphere environments to Azure Cloud, concurrently managing Linux and Windows Systems Administration tasks.

Integrated Azure DevOps pipelines to automate microservices builds, pushing them to Docker Registry and deploying to Kubernetes, streamlining the deployment lifecycle.

Deployed and managed comprehensive AWS cloud infrastructure, including EC2, RDBMS, VPC, ELB, Auto Scaling, S3, EBS, IAM, Route53, Lambda, CloudWatch, and CloudTrail, utilizing AWS CloudFormation for automation.

Automated infrastructure deployments using JSON and YAML, developing Python scripts to extract critical metadata from logs for hosts and APIs, enhancing operational efficiency.

Optimized AWS cloud networking solutions through expert configuration and management of VPCs, subnets, and security groups, ensuring secure and efficient network operations.

Maintained robust cloud infrastructure health via proactive monitoring and alerting with AWS CloudWatch, significantly reducing incident response times and integrating with CI/CD pipelines using AWS CodePipeline.

Developed extensive scripts for build, deployment, and maintenance tasks using Jenkins, Docker, Maven, Python, PowerShell, and Bash, configuring Ansible playbooks to automate microservices deployments.

Engineered and implemented high-availability and disaster recovery solutions across diverse AWS services, ensuring business continuity and minimal downtime.

Automated Docker container deployments utilizing GitHub Actions, GitLab CI/CD pipelines, and Ansible playbooks, streamlining the deployment process.

Developed a CI/CD configuration in YAML using Atlassian tools and Azure DevOps, automating environment metric collection via Datadog, which increased Azure service efficiency by 35%.

Integrated JFrog Artifactory into the CI/CD pipeline for efficient build artifact management and storage, improving Postgres database performance.