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Vamshi Anantha
Vamshi Anantha

Cloud Support Engineer

Actively looking · Member since 21 Oct 2026
Message
Location
Jersey City, United States
Desired salary
Unspecified
Work preference
Remote Only
Experience level
Mid

About

Professional summary

I am a Cloud Support and DevOps Engineer with over four years of experience supporting cloud infrastructure, Linux systems, production workloads, and containerized environments. I specialize in maintaining reliable services across AWS, Azure, Kubernetes, Ubuntu, RHEL, and Windows environments.

I have hands-on experience troubleshooting production incidents, analyzing logs and monitoring data, performing root-cause analysis, and coordinating technical resolutions with engineering and cross-functional teams. I am comfortable providing customer-focused support through ticketing systems, email, phone, and online meetings.

I build and automate infrastructure workflows using Python, Bash, Go, JavaScript, Terraform, Ansible, Jenkins, and CloudFormation. My work has improved deployment efficiency, reduced manual operational effort, and standardized environment provisioning.

I design observability solutions using Prometheus, Grafana, CloudWatch, Datadog, New Relic, OpenTelemetry, Jaeger, Loki, and OpenSearch. I use these platforms to create actionable dashboards, alerts, distributed tracing, and diagnostics that accelerate incident investigation.

I have delivered measurable operational improvements, including a 40% reduction in incident remediation time, a 50% improvement in deployment efficiency, and approximately $20,000 in monthly cloud cost savings. I am committed to technical ownership, clear communication, dependable operations, and continuous learning in cloud and open-source technologies.

Skills

43 capabilities
Access ControlAgileApache KafkaBASHChange Data CaptureCI CDCloud InfrastructureCloud SecurityCloud SupportConfiguration ManagementContainer OrchestrationContainerizationCustomer SupportDevOpsDNSDynamoDBGoHigh AvailabilityIncident ManagementIncident ResponseInfrastructure AutomationJavaScriptLinux AdministrationLoad BalancingLog AnalysisMicroservicesMongoDBMonitoringMySQLObservabilityPerformance MonitoringPostgreSQLPythonREST APIsRoot Cause AnalysisScriptingService Level ObjectivesShell ScriptingSQLSQL ServerTechnical DocumentationTechnical SupportTypeScript

Tech stack & tools

Working toolkit

Analytics

Grafana

Application Hosting

Jenkins

Collaboration

Jira

Communications

Slack

Data Stores

Amazon DynamoDBMongoDBMySQLPostgreSQL

Development

AnsibleBitbucketDockerGitGitHubGitLabHelmKubernetesTerraformUbuntuVagrant

Monitoring

DataDogOpenTelemetryPrometheus

Experience

Career history

Cloud Support Engineer Meta

Support cloud infrastructure and production workloads across AWS, Kubernetes, and Linux-based environments. Provide on-call incident response, investigate operational issues through Jira Service Management and Datadog alerts, and coordinate technical resolutions that improve service reliability and reduce incident remediation time.

Automate container deployment and infrastructure provisioning using Kubernetes, Argo CD, Jenkins, Helm, Terraform, Python, Go, and JavaScript. Built reusable Terraform modules, centralized Jenkinsfile libraries, and S3/DynamoDB-backed Terraform state management to improve deployment consistency, collaboration, and operational efficiency.

Develop and maintain observability capabilities with Grafana, Loki, Prometheus, OpenSearch, CloudWatch, OpenTelemetry, and Jaeger. Support highly available AWS platforms, migrate EC2-hosted applications to Kubernetes, implement PostgreSQL CDC with Debezium, AWS MSK, Kafka, and Flink, and optimize cloud architecture to reduce costs by up to 70%.

DevOps Engineer Google

Provided technical support to internal teams and end users for cloud deployments, application issues, and infrastructure incidents through phone, email, and online meetings. Supported Ubuntu, RHEL, and virtualized Linux production environments using system diagnostics, logs, monitoring data, and network troubleshooting techniques.

Managed AWS services including EC2, EBS, S3, RDS, ELB, DynamoDB, Redshift, CloudFormation, and Lambda. Supported Azure Virtual Machines and Azure Blob Storage, assisted with on-premises-to-AWS migrations, and maintained cloud networking and security controls to improve availability, scalability, and performance.

Configured Kubernetes clusters and deployed containerized applications with Docker, Docker Swarm, and Kubernetes. Automated server provisioning and deployments with Python, Ansible, Jenkins, Puppet, Vagrant, VirtualBox, Terraform, and Artifactory, while monitoring infrastructure through CloudWatch, New Relic, Prometheus, Grafana, and Azure Application Insights.

Education

Learning history

University of North Texas

Master's, Advanced Data Analytics

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