Divyam Mathur

• Project Overview: https://i.competishun.com/
• Collaborated with back-end developers to design and implement APIs, ensuring seamless communication between services.
• Engaged directly with clients for feature discussions and planning, delivering tailored solutions.
• Integrated third-party APIs to enhance functionality and improve the overall user experience on web platforms.
• Partnered with cross-functional teams to design, develop, and launch new features for web applications.
• Developed and managed databases using Node.js, ORM, SQL, and NoSQL, ensuring efficient data handling.
• Reviewed code, debugged issues, and implemented solutions to maintain code quality and performance.
• Worked with various microservices in the backend, promoting a modular architecture.
• Implemented Razorpay payment gateway for receiving course payments.
• Set up and managed the entire cloud infrastructure on Google Cloud Platform (GCP) for development, staging, and production environments.
• Utilized Helm templates for managing and deploying applications in Kubernetes
• Deployed and orchestrated microservices using Kubernetes and Docker.
• Implemented Kubernetes cluster autoscaler to handle workloads during peak traffic efficiently.
• Configured Prometheus and Grafana for comprehensive infrastructure monitoring and alert management.

Tech Stack: NestJS, ReactJS, GraphQL, PostgreSQL, Google Cloud Platform, Razorpay, Kubernetes, Docker, Prometheus, Grafana, Helm

• Project Overview: https://www.elevancehealth.com/
• Developed and maintained the frontend of internal admin panels using Angular, delivering user-friendly interfaces.
• Designed and implemented Node.js microservices, ensuring scalability and high performance.
• Configured and managed messaging queues using Kafka, enabling reliable communication between services.
• Set up and maintained Kubernetes clusters on the Red Hat OpenShift Platform, ensuring robust container orchestration.
• Authored YAML configurations for microservices in Node.js and Python, streamlining deployment and scaling processes.
• Automated container image security scanning with the Red Hat Preflight Tool, improving security compliance.
• Managed container images in Red Hat Quay repositories, ensuring efficient storage and access.
• Enabled horizontal pod autoscaling and cluster autoscaling to optimize resource utilization.
• Utilized Helm templates for managing and deploying applications in Kubernetes.
• Established and optimized CI/CD pipelines using Jenkins, enhancing deployment efficiency.
• Implemented infrastructure monitoring with Prometheus and Grafana, ensuring system reliability and performance.

Tech Stack- Nodejs, Angular, MySQL, Kafka, Redhat OCP, AWS, Helm, Jenkins, Prometheus and Graffana

• Project Overview: https://www.dunzo.com/
• Configured and optimized the production environment to ensure application stability and scalability.
• Developed Terraform scripts to automate infrastructure provisioning, promoting Infrastructure as Code (IaC) practices.
• Designed and implemented Helm templates for managing and deploying microservices on Kubernetes clusters.
• Set up and maintained Kubernetes clusters on Google Kubernetes Engine (GKE) with cluster autoscaling for dynamic workload management.
• Created node pools for segregating workloads based on service requirements, enhancing resource utilization.
• Deployed and managed Vault services for securely storing secrets and Helm values files for all microservices.
• Established CI/CD pipelines using Jenkins for continuous integration and Spinnaker for continuous delivery.
• Configured Redash for querying and visualizing data from multiple sources, aiding in decision-making processes.
• Enabled Horizontal Pod Autoscaling and defined resource quotas to optimize deployment performance.
• Implemented infrastructure monitoring and logging using Prometheus, Grafana, and the ELK stack.

Tech Stack: GCP, GKE, Docker, ELK Stack, Prometheus, Grafana, Spinnaker, Jenkins, Terraform, Helm, Vault, Redash

• Company Overview: GMR Green EV Charging
• Mobile App Link: https://play.google.com/store/apps/details?id=com.statiq.gmr&hl=en_IN&gl=US&pli=1
• Set up Kubernetes clusters on Google Kubernetes Engine (GKE) for development, QA, UAT, and production environments.
• Utilized Terraform for infrastructure provisioning, enabling consistent replication of environments.
• Managed and deployed applications on Kubernetes using Helm, streamlining installations and updates.
• Configured CI/CD pipelines using Jenkins for all microservices across multiple environments.
• Implemented infrastructure monitoring and alerting with Prometheus and Grafana to ensure system reliability.
• Deployed and configured the ELK stack for comprehensive application log monitoring across environments.
• Deployed frontend applications using Google App Engine and set up automated deployments with Google Cloud Build.
• Configured a master-slave database setup using virtual machines and developed Bash scripts for automated backups and recovery processes.
• Mentored junior team members, fostering professional growth and improving overall team performance.

Tech Stack: GKE, Terraform, Helm, Jenkins, Prometheus, Grafana, ELK Stack, Google App Engine, Google Cloud Build, Bash, kafka

• Project Overview: https://www.neuriot.com/visionbee.html
• Developed and maintained an admin panel using Angular, ensuring responsive and user-friendly interfaces.
• Created reusable components to reduce code redundancy and improve development efficiency.
• Designed and implemented responsive UI components, enhancing cross-device compatibility.
• Managed DevOps responsibilities alongside development tasks, ensuring seamless application deployment and infrastructure management.
• Deployed microservices using AWS ECS Fargate, storing container images in Amazon ECR.
• Configured Amazon SQS for message queuing in a microservices architecture.
• Built APIs in nodejs for communication between Client side app and AI backend.
• Set up RDS master-slave architecture for MySQL databases, ensuring data availability and reliability.
• Configured Elasticache (Redis) for caching, improving application performance.
• Automated deployments using AWS CodeBuild and CodePipeline, streamlining the CI/CD process.
• Created and configured Amazon S3 buckets with appropriate policies for secure and efficient data storage.
• Achieved cost optimization by implementing resource utilization strategies with AWS EC2 Autoscaling Groups and improved application performance using CloudFront.

Tech Stack: Angular, Nodejs, MySQL, AWS ECS Fargate, Amazon SQS, RDS, Elasticache, S3, CodeBuild, CodePipeline, CloudFront