Welcome to my portfolio
Naveena Punugupati
Site Reliability Engineer / DevOps Engineer
I work on reliable cloud systems, production support, monitoring, automation, and deployment pipelines. I enjoy understanding how systems behave in real environments, fixing issues at the root level, and making deployments more stable and easier to operate.
Naveena Punugupati
SRE | DevOps | Cloud | Reliability
About Me
A short story about my work, learning, and what I enjoy building.
I am a Site Reliability Engineer and DevOps professional with hands-on experience in cloud infrastructure, Kubernetes deployments, CI/CD pipelines, monitoring, and production support.
My work has mostly been around making systems more stable and easier to operate. I have worked through real production challenges like noisy alerts, deployment failures, unclear logs, and environment issues. These experiences helped me focus more on root cause analysis and long-term reliability improvements.
Outside of work, I am passionate about badminton and have played at the state level. Sports taught me discipline, consistency, and how to stay calm under pressure — qualities I bring into my engineering work too.
Experience
My overall hands-on experience across SRE, DevOps, cloud infrastructure, automation, monitoring, and production support.
Site Reliability Engineering & DevOps Work
Cloud, production reliability, automation, and deployment support
- Worked on improving system reliability using monitoring, alerting, and dashboards for production systems.
- Built and maintained dashboards using Prometheus and Grafana to track application health and infrastructure metrics.
- Supported Kubernetes deployments across environments and helped troubleshoot pod, configuration, and release issues.
- Automated infrastructure tasks using Terraform, Ansible, and CloudFormation to reduce manual effort and improve repeatability.
- Worked on CI/CD pipelines using Jenkins, GitHub Actions, and GitLab CI to make deployments smoother and more consistent.
- Supported AWS and Azure environments, including cloud resources, monitoring, and application support.
- Handled production incidents by reviewing logs, metrics, alerts, and system behavior to identify root causes.
- Collaborated with developers and support teams during releases, incidents, and troubleshooting sessions.
Education
Wichita State University
Master of Science in Computer Science
Relevant interests include information security, IT strategy, machine learning, analytics, distributed systems, reliability, and cloud infrastructure.
JNTUK, Kakinada
Bachelor of Technology in Computer Science and Engineering
Built my foundation in computer science, programming, databases, and software engineering.
Main Skills
Technical areas I work with and continue to strengthen.
Cloud & Infrastructure
AWS
Azure
Terraform
CloudFormation
Ansible
DevOps & Platforms
Kubernetes
Docker
Jenkins
GitHub Actions
GitLab CI
Reliability & Monitoring
Prometheus
Grafana
ELK
CloudWatch
Incident Management
Projects
Practical projects that reflect the kind of work I enjoy doing in cloud, DevOps, and reliability.
Kubernetes Monitoring & Troubleshooting
- Monitored Kubernetes pods and services using Prometheus and Grafana.
- Debugged pod restart issues using logs, resource usage, and Kubernetes events.
- Used kubectl to check pod status, logs, deployments, and service behavior.
CI/CD Pipeline Automation
- Worked on Jenkins and GitHub Actions pipelines for build, test, and deployment workflows.
- Automated repeated deployment steps to reduce manual effort and mistakes.
- Fixed pipeline failures related to build errors, dependencies, and configuration issues.
AWS Infrastructure Automation
- Used Terraform to create and manage AWS resources such as EC2, S3, and supporting infrastructure.
- Created reusable infrastructure configurations for different environments.
- Reduced repeated manual setup by moving infrastructure changes into code.
PhD & Research Interest
I’m particularly interested in distributed systems, system reliability, and cloud infrastructure. My long-term goal is to pursue a PhD in this space and study how large-scale systems behave under real-world pressure.
Areas I want to explore include system failures, fault tolerance, observability, scalability, incident recovery, and how cloud-native systems can be designed to recover better during failures.
Skills: Distributed Systems | System Design | Scalability | Fault Tolerance | Reliability Engineering | Cloud Computing | Observability | Monitoring | CI/CD | Infrastructure Automation
Let’s Connect
I’m open to SRE, DevOps, cloud infrastructure, and platform engineering opportunities.
Email: punugupatinaveena47@gmail.com
LinkedIn: linkedin.com/in/naveena-punugupati
Location: Texas, USA