Vikas Kashuvajjala

About Vikas Kashuvajjala

3+ years of experience as a DevSecOps & Cloud Automation Engineer, designing, securing, and automating multi- cloud platforms (AWS, Azure, GCP).• Expert in Infrastructure as Code (Terraform, CloudFormation, ARM templates) for reliable, scalable, and compliant cloud deployments.• Proficient in Kubernetes (EKS, AKS, OpenShift), containerization (Docker), Helm, and GitOps-driven CI/CD pipelines (ArgoCD, GitHub Actions, Azure DevOps, Jenkins).• Skilled in implementing DevSecOps practices: vulnerability scanning (Snyk, Trivy, SonarQube), RBAC, secretsmanagement, and zero trust security models.• Delivered HIPAA and FedRAMP compliant platforms with disaster recovery, high availability, and cost-optimized multiAZ architectures.• Built scalable CI/CD workflows, automated infrastructure provisioning, hardened Kubernetes clusters, and streamlined artifact management.• Extensive experience in observability and monitoring using Prometheus, Grafana, ELK, CloudWatch, Datadog, andOpenTelemetry, reducing MTTR by 35–40%.• Led incident response, post-mortems, and implemented preventive measures, decreasing production incident recurrence by 25%.• Mentored cross-functional teams to adopt secure DevOps practices, GitOps workflows, and cloud-native architecture patterns, improving DevSecOps adoption by 40%.• Automated compliance, auditing, and policy enforcement across multi-cloud deployments, reducing manual compliance efforts by 50%.• Strong scripting and automation skills using Python, Bash, Groovy, and PowerShell for infrastructure, CI/CD, and secret management.• Experienced in cost optimization, environment provisioning, and cloud migrations, reducing operational expenses by 20–28%.

Experience

1. Devops Engineer

   UnitedHealth Group

   Jan 2025 — Present · US

   Client: EPAM Systems- Architected and managed scalable, resilient infrastructure on Microsoft Azure using Terraform and Azure ARM templates, mapped with Infrastructure as Code (IaC) best practices, cutting deployment inconsistencies by 40% and a 25% increase in provisioning speed across DEV, QA, UAT, Staging, and PROD environments- Upheld CI/CD pipelines using Azure DevOps, Jenkins, and GitHub Actions, reducing build and deployment times by 30%, while increasing test coverage by 40% and boosting deployment reliability across microservices- Integrated Ansible for dynamic configuration management and streamlined the provisioning of servers and application components, ensuring consistent environments across development, staging, and production, and reducing configuration drift incidents by 50%- Optimized Docker-based containerization workflows and deployed workloads to Kubernetes (AKS) clusters, improving service scalability and reducing infrastructure costs by 20% through efficient resource utilization and right-sizing of workloads- Developed custom Python and Bash scripts to orchestrate health checks, log analysis, incident remediation, and routine DevOps tasks, minimizing manual intervention by 60% and reducing resolution time of repetitive issues- Enhanced system observability by configuring and correlating logs and metrics across Azure Monitor, Grafana, Splunk, and Application Insights, enabling early detection of 95% of incidents and a 10% reduction in Mean Time to Recovery (MTTR)- Outlined and monitored SLIs, ensured SLOs, and sustained adherence to SLAs, ensuring measurable service objectives and improving application response times by 15%, while maintaining 99.95% uptime across services- Implemented blue/green deployments, rollback strategies, and health probes, minimizing deployment risk and achieving zero-downtime deployments in over 90% of release cycles.

Education

• University of Missouri-Kansas City

  Master's Degree, Computational Science

• Jawaharlal Nehru Technological University

  Bachelor's Degree, Computer Engineering