Vieer Dwivedi

Master of Computer Science

2023 - 2024

Jayanagar 9th Block, Bengaluru, Karnataka, India - 560069

This program focuses on advanced concepts in computer science, including software development, algorithms, and data structures. During this period, I am honing my skills in problem-solving, critical thinking, and practical applications of computer science, preparing for future challenges in the tech industry.

Bachelor of Science & Computer Science

2019 - 2022

Sanpada, Navi Mumbai, Maharashtra 400705

This program focuses on advanced concepts in computer science, including software development, algorithms, and data structures. During this period, I am honing my skills in problem-solving, critical thinking, and practical applications of computer science, preparing for future challenges in the tech industry.

VtechVibrant

2023 - Present

Taloja, Navi-Mumbai, MH

• Directed cost-saving initiatives by analyzing and identifying 11+ underutilized resources across AWS (ECR, Lambda, EC2, RDS, S3) and Azure (Azure Functions, VNet, Azure SQL Database), achieving a quarterly spending reduction of $2,400.
• Orchestrated large-scale deployments across 300+ private cloud instances and 60+ data centers by leveraging AWS EC2, EKS, and Azure AKS environments, utilizing Ubuntu Server, NFS, and Ansible for configuration management and automation.
• Enhanced IT support team efficiency by resolving hardware failures, installing new devices, and utilizing AWS CloudWatch and Azure Monitor to proactively monitor system health, addressing 48+ network-related issues.
• Boosted project completion rates from 28% to 85% by collaborating with Colo vendors, client systems, and network engineers, and integrating AWS VPC, Route 53, API Gateway, and Azure VNet.
• Developed Kubernetes jobs in Golang/Bash to resolve known issues, integrating metrics and logging functionality and streamlining with distroless Docker images.
• Innovated troubleshooting capabilities by implementing modern AWS tooling into EC2 images and Azure Automation, enabling 10+ developers to perform role-specific troubleshooting and reducing Mean Time to Respond by 48%.
• Improved development workflows by formulating common branching strategies and automating build/integration checks using AWS CodePipeline, Azure Pipelines, and Jenkins, boosting team velocity by 28%.
• Automated routine tasks on Linux-based EC2 instances with Bash scripting, addressing server provisioning, patch management, and configuration updates, reducing manual effort by 40%.
• Accelerated application deployment cycles by containerizing microservices using Docker and managing workloads with Kubernetes (EKS, AKS), achieving a 35% improvement in release frequency and reliability.
• Executed automated build and deployment processes with Jenkins, AWS CodeDeploy, and Azure DevOps, reducing manual work by 85% and surpassing previous deployment efficiency targets.
• Spearheaded the transition from Azure to AWS, leading a seamless migration utilizing Azure VMs, Azure SQL Database, and AWS ECS, saving the company $2M per year and increasing operational efficiency by 10%.
• Proactively managed security by addressing 55+ accounts across AWS IAM, Jenkins, and Azure Active Directory, ensuring secure resource access and enhancing overall system security.
• Facilitated Kubernetes adoption by introducing 17 tools across AWS EKS and Azure AKS, empowering 285 developers to deploy applications without prior Kubernetes knowledge.
• Designed an internal deployment tracking tool, increasing team productivity by 100%, while utilizing AWS CloudTrail and Azure Activity Log to track deployments and enhance transparency.
• Reduced release time from 3 months to 7 days by fostering collaboration between Dev and Ops teams and leveraging AWS Elastic Beanstalk, Azure App Services, and Azure DevOps for faster deployments.
• Provided production support for 45 applications in Linux and Windows environments by utilizing AWS CloudWatch, Azure Monitor, and Azure SQL Database to ensure high availability and performance.
• Orchestrated tools like Devlake, Scrum Master, grooming calls, and Agile methods using Jira, Jira automation, Smartsheet, and Monday.com.

SimSol Technologies and Services Private Limited

2022 - 2023

Sonapur, Bhandup West, Mumbai, Maharashtra 400078

• Collaborated with 13+ Dev Leads to orchestrate CI/CD framework efficiency, successfully integrating Azure services such as Azure DevOps, Azure Pipelines, Azure Monitor, and Azure Automation, streamlining and scaling the deployment pipeline.
• Engineered and implemented scalable microservices in Golang for Kubernetes, incorporating robust logging, metrics collection, and optimizing deployment with distroless Docker images, ensuring performance and security.
• Accelerated bug-fixing processes, reducing resolution time from 10 days to 2 hours by creating automated nightly builds in Azure DevOps, leveraging Azure Pipelines for CI and Azure Monitor for early issue detection and resolution.
• Pioneered Azure DevOps automation to streamline the bug-fixing pipeline, cutting resolution time by 80%, and utilizing Azure Monitor for early issue detection.
• Optimized deployment reliability on Azure Kubernetes Service (AKS) by integrating Azure Monitoring and Azure Automation, reducing incident response time.
• Spearheaded the setup and management of the complete AKS and Azure infrastructure with Terraform, enabling automated provisioning, scaling, and ensuring consistent and repeatable deployments.
• Automated infrastructure provisioning using Terraform and Ansible, ensuring scalability, consistency, and faster deployments across Azure and AWS environments.
• Developed Helm charts to simplify Kubernetes deployments, reducing manual configuration efforts and ensuring standardized application deployment.
• Implemented RBAC and IAM policies across Azure AD, AWS IAM, and Kubernetes, enhancing security compliance and minimizing unauthorized access risks.
• Optimized cost management strategies by leveraging spot instances, rightsizing VMs, and implementing auto-scaling policies, achieving a 30% reduction in cloud costs.
• Enhanced observability and monitoring by integrating Prometheus, Grafana, and ELK stack with Azure Monitor and AWS CloudWatch, improving incident response time.
• Led security best practices adoption by implementing Snyk, SonarQube, and security scanning tools, reducing vulnerabilities in CI/CD pipelines.
• Architected high-availability and disaster recovery solutions, utilizing multi-region deployments, backup automation, and failover strategies to ensure business continuity.
• Optimized container image sizes by implementing Docker multi-stage builds, reducing image size by 60%, improving deployment speed, and minimizing attack surface.
• Integrated Docker security scanning tools like Trivy and Snyk, proactively identifying and fixing vulnerabilities in containerized applications before deployment.
• Automated container image hardening by implementing distroless base images and eliminating unnecessary dependencies, improving security and compliance.
• Enhanced CI/CD security by enforcing image scanning policies in AWS ECR and Azure Container Registry (ACR), ensuring only compliant images are deployed.
• Developed and enforced best practices for Dockerfile linting and optimization, reducing build failures and improving container performance.

VtechVibrant

2023 - Present

Taloja, Navi-Mumbai, MH

• Optimized and streamlined application deployments by implementing Docker containerization and automating Kubernetes deployments using Helm, ensuring scalability, high availability, and operational efficiency.
• Designed, built, and automated CI/CD pipelines using GitLab CI, CircleCI, and Jenkins, integrating with AWS services (ECR, Lambda, ECS, VPC, SQS, CodePipeline) to facilitate continuous integration, deployment, and infrastructure automation.
• Implemented Infrastructure as Code (IaC) using Terraform and CloudFormation, enabling automated provisioning, efficient resource utilization, and environment consistency across multi-cloud architectures (AWS and Azure).
• Enhanced system observability and performance monitoring by integrating Grafana, FluentD, Filebeat, Prometheus, Loki, Promtail, Elasticsearch, Datadog, Dynatrace, and AWS CloudWatch, enabling real-time insights, proactive troubleshooting, and incident response.
• Optimized Docker images using multi-stage builds, reducing container size by 60%, improving deployment efficiency, and minimizing security vulnerabilities.
• Integrated security best practices by implementing container scanning tools (Trivy, Snyk, and Clair), ensuring compliance with DevSecOps principles and mitigating risks in production environments.
• Reduced deployment time by 85% through automated release management, leveraging Kubernetes (EKS, AKS), Helm, and ArgoCD for zero-downtime rollouts and canary deployments.
• Developed self-healing and auto-scaling cloud architectures, utilizing Kubernetes Horizontal Pod Autoscaler (HPA), AWS Auto Scaling Groups (ASG), and Azure Virtual Machine Scale Sets (VMSS) to ensure resilient and cost-optimized infrastructure.
• Implemented Blue-Green and Canary deployments in Kubernetes using ArgoCD and Helm, reducing downtime and risk during production rollouts.
• Developed and enforced CI/CD security policies by integrating HashiCorp Vault, AWS Secrets Manager, and Azure Key Vault, ensuring secure credential management across deployments.
• Optimized API performance and reliability by implementing AWS API Gateway, Azure API Management, and CloudFront, reducing latency by 40% and improving user experience.
• Automated compliance enforcement using AWS Config, Azure Policy, and Open Policy Agent (OPA), ensuring continuous adherence to security and governance best practices.
• Designed scalable logging and monitoring solutions using OpenTelemetry, ELK Stack, Loki, and CloudWatch Logs Insights, enhancing incident response and forensic analysis.
• Led the migration of on-prem applications to AWS and Azure, leveraging Lift-and-Shift, Re-platforming, and Re-architecting strategies, cutting infrastructure costs by 30%.
• Deployed and secured microservices using service mesh technologies like Istio and Linkerd, improving observability, security, and traffic control in multi-cloud environments.
• Automated vulnerability remediation by integrating AWS Inspector, Azure Security Center, and Snyk, reducing security risks by 75%.
• Orchestrated disaster recovery strategies by implementing AWS Backup, Azure Site Recovery, and cross-region replication, ensuring 99.99% availability.
• Configured and optimized Nginx and HAProxy for high-performance load balancing, enhancing application response time and resilience.