Chenna Keshava
@chennakeshava1
I build secure, reliable cloud platforms and automated delivery systems across AWS, Azure, Kubernetes, and Terraform.
United StatesWhat I'm looking for
I'm building secure, reliable cloud-native delivery platforms at American Express, where I design CI/CD pipelines, reusable AWS infrastructure modules, and Kubernetes deployments for enterprise payment environments.
I've improved operational resilience through Prometheus, Grafana, CloudWatch, Splunk, and Datadog observability, while reducing incident response time by 30%. My work on identity access management, secrets management, and network security reduced unauthorized access attempts by 60% and security incidents by 50%.
At CVS Health, I integrated Azure DevOps, AKS, Azure Key Vault, Terraform, Docker, Kubernetes, OpenShift, and Helm to strengthen secure healthcare application delivery. Earlier at Accenture, I established multi-cloud provisioning standards across AWS, Azure, GCP, Terraform, and Ansible and improved reliability, latency, and deployment consistency for distributed platforms.
I enjoy high-ownership environments where I can automate infrastructure, improve observability, strengthen governance, and help teams deliver production systems faster.
Experience
Work history, roles, and key accomplishments
Spearheaded container build pipelines with automated SRE workflows and cloud-native storage integration, enhancing system reliability and achieving a 30% reduction in incident response times. Enhanced identity access management and network security, reducing unauthorized access attempts by 60% and security incidents by 50%.
DevOps Engineer
CVS Health
Jul 2023 - Dec 2024 (1 year 5 months)
Integrated Azure DevOps pipelines with AKS, Azure Key Vault, and Terraform, improving secure application delivery and healthcare platform reliability. Configured Docker, Kubernetes, and OpenShift deployment workflows with Helm charts, enhancing environment parity and production release stability.
Engineered high-availability storage and routing solutions, achieving 99.95% uptime and a 30% reduction in latency. Streamlined infrastructure-as-code practices and optimized inference platforms, increasing model throughput by 20% and reducing deployment times by 40%.
Education
Degrees, certifications, and relevant coursework
Jawaharlal Nehru Technological University Hyderabad
Bachelor of Technology, Computer Science and Engineering
Bachelor's degree in Computer Science and Engineering from JNTUH.
University of Bridgeport
Master of Science, Computer Science and Engineering
Master's degree in Computer Science and Engineering from the University of Bridgeport.
Tech stack
Software and tools used professionally
Splunk
GitHub
GitLab
SonarQube
Kubernetes
AWS CodePipeline
Jenkins
GitHub Actions
Azure Pipelines
GitLab CI
MySQL
PostgreSQL
MongoDB
Redis
Terraform
Azure DevOps
Jira
JSON
PowerShell
Kafka
PagerDuty
Grafana
Prometheus
OpenTelemetry
Azure Monitor
Ubuntu
CentOS
Linux
Windows
Windows Server
New Relic
Datadog
Google Workspace
Prisma
Azure Security Center
Ansible
Serverless
Azure SQL Database
sso
Time Analytics
ceph
KVM
SQL
ServiceNow
Snyk
Weights & Biases
Trivy
vLLM
ArgoCD
Dynatrace
Argo CD
Bicep
Bash
Agentic
KEDA
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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