Manish Kumar

Cloud DevOps Engineer

Informatica

Bengaluru

08.2022 - Current

Designed and implemented load balancer configurations across Azure (Application Gateway), GCP (Google Cloud Load Balancer), and OCI (OCI Load Balancer); automated the addition of gateway service IPs to backend pools, and the creation of routing rules using Python. Leveraged Terraform for infrastructure provisioning.
Automated the process of reading Terraform state files stored in cloud storage (Azure Blob Storage and AWS S3) and updating cloud resource details into configuration files using Python, which significantly reduced landscape provisioning time from 3 hours to just 5 minutes.
Provisioned Redis and Load Balancer resources on Azure and OCI, and Route 53 (DNS) resources on AWS using Terraform, enabling consistent, scalable, and automated infrastructure deployment across multi-cloud environments.
Engineered a one-click project setup pipeline to automate entity creation in Harness. As part of this, I created a Postman collection to provision entities via API calls, converted the collection into a Helm template, and implemented ConfigMaps to store data files. Used Kubernetes jobs to execute Newman commands to run collection, which reduced manual effort from one day to just two hours.
Implemented a pipeline using Bash scripts to automate the start and stop of deployments, as well as scale deployments up and down using Horizontal Pod Autoscaling (HPA) in Kubernetes, optimizing deployment processes and resource utilization.
Created a pipeline to automatically build Helm charts and custom Docker images based on Git triggers, ensuring continuous integration and deployment whenever changes are pushed to the repository.
Developed a Jenkins-based pipeline to onboard new projects into the CI/CD system by automating repository setup and Jenkins job creation, ensuring standardized, and efficient project integration.
Experienced in Agile and sprint-based environments, with a strong focus on delivering cloud and DevOps solutions within scheduled timelines, through effective collaboration and iterative development.