Rajeev . Email & Phone Number

New York, Ny, Us

•Developed Helm charts and Kubernetes manifests to automate application deployments. Deployed applications to various environments using CI/CD pipelines, reducing manual effort and deployment times.•Managed source code repositories using Git, ensuring version control and collaboration across teams. Managed Kubernetes clusters on Google Kubernetes Engine (GKE) for container orchestration, ensuring high availability and fault tolerance.•Managed Jenkins nodes and agents, ensuring optimal resource allocation and performance. Created backup and restore scripts to safeguard critical data and ensure business continuity.•Configured and deployed API rate limiting, throttling, and caching strategies to enhance performance and prevent abuse. Developed and maintained infrastructure-as-code (IaC) scripts using Terraform for Google Cloud resources.•Managed Terraform state files and remote backends, ensuring consistent and reliable infrastructure management. Monitored and optimized CI/CD pipeline performance, identifying and resolving bottlenecks.•Implemented modular Terraform configurations to promote code reuse and maintainability. Monitored and optimized cloud infrastructure using Google Cloud Operations Suite, improving system performance and reliability.•Configured and managed Linux-based web servers, optimizing them for high traffic and low latency. Developed custom Jenkins plugins to extend functionality and integrate with other tools. Integrated security checks into CI/CD pipelines, enhancing application security and compliance.•Configured Kubernetes clusters, including node provisioning, network setup, and storage management. Automated code review processes using Git hooks and continuous integration tools.•Developed custom Docker images and Dockerfiles to optimize application performance and security. Implemented robust logging and monitoring solutions using Google Cloud Logging and Monitoring.

•Developed interactive Grafana dashboards to provide stakeholders with real-time insights into system performance, application metrics, and log data.•Collaborated with data engineering teams to ensure availability, reliability, and scalability of data pipelines and storage for machine learning workflows.•Designed AWS cloud formation templates to create custom sized VPC, subnets to ensure successful deployment of web applications and database templates•Optimized Elasticsearch queries and data models to provide fast and accurate data retrieval for Grafana dashboards, resulting in improved dashboard response times by 40%.•Configured real-time alerts in Grafana based on predefined thresholds, ensuring proactive monitoring and timely notifications of critical events and performance deviations.•Conducted performance optimization and tuning of machine learning infrastructure to improve model training and inference speed.•Manage the configurations of more than 40 servers using Chef, configured Jenkins builds for Continuous Integration and Continuous Delivery.•Implemented infrastructure security best practices by leveraging Terraform security groups and managing access controls through IAM roles.•Configured Terraform workspaces to manage infrastructure for multiple environments and projects within a single configuration.•Troubleshot and resolved issues related to Terraform infrastructure code, ensuring infrastructure was properly provisioned and available for use.•Used Git as version control with Git branching strategy that included develops branches, feature branches, staging branches, and master. Pull requests and code reviews were performed.•Created private cloud using Kubernetes that supports DEV, TEST, and PROD environments, created a Continuous Delivery process to include support building of Docker Images and publish into a private repository.

•Implemented admin sites to manage database information with FlaskAdmin, MySQL and SQLite. Involved in tasks Designing, Developing, and building a system using Python, Shell Scripts to automate Oracle patching.•Responsible for the development of New SAS reports on the WEB using SAS/Intranet and DB2 data warehouse. Also responsible for management of public access databases and working as a liaison between functional user organizations and technical information system personnel to define new table requirements.•Developed and implemented several SAS applications that met the requirements of various users in vehicle sales, warranty, product engineering, dealer business management and parts systems.•Wrote Python Scripts to Monitor Variety of Services & Perl Scripts with Hash/Arrays to Insert/Delete/Modify content in multiple servers. •Created Security Groups, configuring Inbound/Outbound rules, creating, and importing Key Pairs and used Elastic Load balancers and Auto scaling groups to handle the traffic at peak times.•Created Python scripts to fully automate AWS services which include ELB, Cloud Front distribution, EC2, Security Groups and S3. This script creates stacks, singe servers and joins web servers to stacks.•Designed developed and implemented web services testing procedures using SOAPUI and REST. Expertise in writing SQL Queries, SQL Scripts and performing Database testing.