Vijay Kanth

VIJAYKANTH ANUGU 📍 Bangalore, India | 📍 - | 📍- Professional Summary Results-driven DevOps & Cloud Engineer with 9+ years of hands-on experience designing, automating, and optimizing mission-critical deployments in AWS, Azure, and hybrid cloud environments. Proven expertise in CI/CD pipeline management, infrastructure as code (Terraform, Ansible), Kubernetes orchestration, and implementing DevSecOps best practices. Adept at bridging development and operations, reducing deployment time, and improving cloud cost-efficiency. Technical Skills         Cloud Platforms: AWS (EC2, S3, EKS, ELB, IAM, RDS, Lambda, VPC, CloudFront), Azure, Azure DevOps (CI/CD) IaC & Automation: Terraform, Ansible, Shell, Python, YAML, Python CI/CD & DevOps: Jenkins, GitHub Actions, Maven, Nexus, SonarQube, Jira, Azure DevOps, GitHub Actions, ArgoCD Containers & Orchestration: Docker, Kubernetes, OpenShift, EKS, ArgoCD Monitoring & Logging: Prometheus, Grafana, CloudWatch, ELK Stack, Splunk, Datadog, Datadog Web & App Servers: Apache, Tomcat, NGINX Version Control: Git, GitHub, Bitbucket, Subversion Others: CodeDeploy, CodePipeline, Confluence, Nagios, CloudTrail, GitOps Professional Experience DevOps & SRE Engineer | AccionLabs (Jun 2022 – Present) Environment: AWS, Azure, Jenkins, CodeDeploy, EC2, S3, Autoscaling, Prometheus, Python       Delivered infrastructure automation in multi-cloud (AWS + Azure) environments. Deployed apps using AWS CodeDeploy and managed Azure Pipelines. Automated EC2 server migrations using Terraform and Ansible. Built monitoring dashboards with Prometheus and CloudWatch. Created IAM roles, security groups, and tag governance workflows. Provided production support and resolved load-balancer health-check issues. DevOps Engineer | HCL Technologies (Feb 2020 – Dec 2021) Environment: OpenShift, CloudFormation, Docker, CloudWatch, ELB, VPC, Jenkins      Deployed IBM CFMR on OpenShift using containerized CI/CD workflows. Managed AWS infrastructure with focus on resilience and scaling. Created Dockerfiles and maintained private registries. Monitored logs and resources using ELK and CloudWatch. Automated deployments and infrastructure using Jenkins and CloudFormation. AWS DevOps Engineer | Nous InfoSystems (Sep 2018 – Feb 2020) Environment: Jenkins, GitHub, Maven, Ansible, AWS EC2/VPC/S3     CI/CD automation with Jenkins, Maven, and GitHub. Deployed apps via Ansible in AWS environments. Managed deployments across QA, UAT, and PROD stages. Automated EBS setup and backup operations. DevOps Engineer | TPD Technosoft (Jul 2015 – Sep 2018) Environment: Jenkins, Maven, ANT, SVN, Apache Tomcat     Maintained CI pipelines using Jenkins and Maven. Automated build and release cycles. Deployed applications on Apache Tomcat servers. Configured version control and build automation tools. Education Bachelor of Technology (B.Tech) in Computer Science Varadha Reddy Engineering College, Warangal 2011 – 2015 Project Highlights         Built automated EC2 AMI backups via AWS CLI + Lambda. Developed RESTful APIs using Flask & Django for internal tools. Created real-time dashboards with Grafana + Prometheus for 100+ node clusters. Deployed microservices to EKS and OpenShift clusters. Spearheaded infrastructure automation initiatives with Terraform and Ansible across multi-cloud environments. Designed and managed GitOps-based deployment workflows using ArgoCD and GitHub Actions. Led container orchestration efforts with Kubernetes/EKS, and managed platform observability using Prometheus, Grafana, and Datadog. Architected and enforced enterprise-grade CI/CD pipelines integrated with security scanning, SAST, and DAST tools.                      Enabled platform self-service capabilities through reusable Terraform modules and Jenkins shared libraries. Partnered with SRE and application teams to drive Site Reliability and Performance improvements using SLOs and error budgets. Developed internal tools in Python for automation, logging aggregation, and dashboard generation. Conducted performance reviews of cloud resources, reducing AWS costs by 30% via right-sizing and reserved instances. Supported Azure DevOps for hybrid-cloud CI/CD and secrets integration across cloud providers. Handled team-level incident response, infrastructure monitoring, and root cause analysis (RCA) processes. Spearheaded infrastructure automation initiatives with Terraform and Ansible across multi-cloud environments. Designed and managed GitOps-based deployment workflows using ArgoCD and GitHub Actions. Led container orchestration efforts with Kubernetes/EKS, and managed platform observability using Prometheus, Grafana, and Datadog. Architected and enforced enterprise-grade CI/CD pipelines integrated with security scanning, SAST, and DAST tools. Enabled platform self-service capabilities through reusable Terraform modules and Jenkins shared libraries. Partnered with SRE and application teams to drive Site Reliability and Performance improvements using SLOs and error budgets. Developed internal tools in Python for automation, logging aggregation, and dashboard generation. Conducted performance reviews of cloud resources, reducing AWS costs by 30% via right-sizing and reserved instances. Supported Azure DevOps for hybrid-cloud CI/CD and secrets integration across cloud providers. Handled team-level incident response, infrastructure monitoring, and root cause analysis (RCA) processes. Spearheaded infrastructure automation initiatives with Terraform and Ansible across multi-cloud environments. Designed and managed GitOps-based deployment workflows using ArgoCD and GitHub Actions. Led container orchestration efforts with Kubernetes/EKS, and managed platform observability using Prometheus, Grafana, and Datadog. Architected and enforced enterprise-grade CI/CD pipelines integrated with security scanning, SAST, and DAST tools. Enabled platform self-service capabilities through reusable Terraform modules and Jenkins shared libraries.                      Partnered with SRE and application teams to drive Site Reliability and Performance improvements using SLOs and error budgets. Developed internal tools in Python for automation, logging aggregation, and dashboard generation. Conducted performance reviews of cloud resources, reducing AWS costs by 30% via right-sizing and reserved instances. Supported Azure DevOps for hybrid-cloud CI/CD and secrets integration across cloud providers. Handled team-level incident response, infrastructure monitoring, and root cause analysis (RCA) processes. Spearheaded infrastructure automation initiatives with Terraform and Ansible across multi-cloud environments. Designed and managed GitOps-based deployment workflows using ArgoCD and GitHub Actions. Led container orchestration efforts with Kubernetes/EKS, and managed platform observability using Prometheus, Grafana, and Datadog. Architected and enforced enterprise-grade CI/CD pipelines integrated with security scanning, SAST, and DAST tools. Enabled platform self-service capabilities through reusable Terraform modules and Jenkins shared libraries. Partnered with SRE and application teams to drive Site Reliability and Performance improvements using SLOs and error budgets. Developed internal tools in Python for automation, logging aggregation, and dashboard generation. Conducted performance reviews of cloud resources, reducing AWS costs by 30% via right-sizing and reserved instances. Supported Azure DevOps for hybrid-cloud CI/CD and secrets integration across cloud providers. Handled team-level incident response, infrastructure monitoring, and root cause analysis (RCA) processes. Spearheaded infrastructure automation initiatives with Terraform and Ansible across multi-cloud environments. Designed and managed GitOps-based deployment workflows using ArgoCD and GitHub Actions. Led container orchestration efforts with Kubernetes/EKS, and managed platform observability using Prometheus, Grafana, and Datadog. Architected and enforced enterprise-grade CI/CD pipelines integrated with security scanning, SAST, and DAST tools. Enabled platform self-service capabilities through reusable Terraform modules and Jenkins shared libraries. Partnered with SRE and application teams to drive Site Reliability and Performance improvements using SLOs and error budgets.               Developed internal tools in Python for automation, logging aggregation, and dashboard generation. Conducted performance reviews of cloud resources, reducing AWS costs by 30% via right-sizing and reserved instances. Supported Azure DevOps for hybrid-cloud CI/CD and secrets integration across cloud providers. Handled team-level incident response, infrastructure monitoring, and root cause analysis (RCA) processes. Spearheaded infrastructure automation initiatives with Terraform and Ansible across multi-cloud environments. Designed and managed GitOps-based deployment workflows using ArgoCD and GitHub Actions. Led container orchestration efforts with Kubernetes/EKS, and managed platform observability using Prometheus, Grafana, and Datadog. Architected and enforced enterprise-grade CI/CD pipelines integrated with security scanning, SAST, and DAST tools. Enabled platform self-service capabilities through reusable Terraform modules and Jenkins shared libraries. Partnered with SRE and application teams to drive Site Reliability and Performance improvements using SLOs and error budgets. Developed internal tools in Python for automation, logging aggregation, and dashboard generation. Conducted performance reviews of cloud resources, reducing AWS costs by 30% via right-sizing and reserved instances. Supported Azure DevOps for hybrid-cloud CI/CD and secrets integration across cloud providers. Handled team-level incident response, infrastructure monitoring, and root cause analysis (RCA) processes.