Open to opportunities · USA

Hello, I'm
Raveendra Pujari

DevOps Engineer with 3+ years building scalable, cloud-native infrastructure on Google Cloud — Kubernetes (GKE), Docker, Infrastructure-as-Code and CI/CD. 6× GCP-certified, focused on distributed systems, automation, and secure, resilient platforms.

Portrait of Raveendra Pujari

01 · About me Building reliable cloud systems

Workspace photo

Hello! I'm Raveendra Pujari, a Cloud DevOps Engineer with 3+ years of experience designing, developing, automating, and deploying on scalable cloud-native infrastructure using Google Cloud Platform (GCP) — transferrable to AWS and Azure.

I have proven expertise in Kubernetes (GKE), Docker, Infrastructure-as-Code, and CI/CD pipelines, with a strong foundation in GCP compute, storage, networking, security, and observability.

I'm passionate about distributed systems and cloud infrastructure — building reliable, automated, and secure platforms that enable rapid, resilient software delivery.

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Years Exp
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GCP Certs
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Effort Saved
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Faster Deploys

02 · Experience Where I've shipped to production

Infosys
Bangalore, IN

Senior System Engineer

Apr 2024 – Jan 2025 Cloud & DevOps
  • Streamlined CI/CD pipelines for Java-based applications using Cloud Build and Maven, reducing build and deployment times by 20%.
  • Built and managed Docker images and deployed containerized microservices on Google Kubernetes Engine (GKE), ensuring scalable and reliable deployments.
  • Provisioned and managed GCP infrastructure and Kubernetes clusters using Terraform, improving deployment consistency and reducing manual configuration.
  • Applied IAM best practices, including service accounts and least-privilege access, to improve infrastructure security.
  • Managed Helm charts to package and deploy applications on GKE, standardizing Kubernetes configurations and simplifying application releases across environments.
  • Configured Google Cloud Monitoring and Grafana to track SLIs and SLOs, collaborating with cross-functional teams to manage error budgets and ensure application availability.
  • Led incident response and post-mortem analysis to identify root causes of system failures, collaborating with cross-functional teams to implement preventive automation that reduced recurring incidents.
  • Collaborated with developers and technical leads to coordinate release management, ensuring seamless and reliable production deployments.
  • Developed automation scripts using Shell and Python to streamline operational and maintenance tasks, reducing manual effort by 40%.
Capgemini
Bangalore, IN

Associate II – Software Engineer

Aug 2021 – Oct 2023 Cloud & DevOps
  • Built and managed Docker images and deployed containerized applications on Google Kubernetes Engine (GKE), improving deployment consistency and scalability.
  • Automated infrastructure provisioning and configuration using Terraform and Ansible, improving scalability, repeatability, and reducing configuration drift.
  • Configured Kubernetes Ingress controllers and HTTP(S) Load Balancers to enable secure and scalable application access.
  • Worked with GCP networking components, including VPC, firewall rules, and secure service connectivity, to ensure system stability and availability.
  • Maintained Terraform remote backends using Google Cloud Storage, ensuring centralized and reliable infrastructure state management.
  • Automated build and deployment workflows using CI/CD pipelines on Azure DevOps, improving release efficiency and reducing manual effort.
  • Assisted development teams with Docker containerization and deployment of applications on GKE Autopilot.
  • Configured Cloud DNS and integrated domain routing with Load Balancers and Kubernetes services to enable reliable application access.
  • Troubleshot infrastructure and deployment issues across cloud and Kubernetes environments, ensuring system stability and availability.
  • Supported and managed the migration of legacy systems to the GCP cloud environment, ensuring smooth and reliable transitions.
  • Maintained SRE and DevOps runbooks and project documentation in Confluence, improving operational consistency and knowledge sharing.

03 · Skills Tools I reach for daily

Cloud & Deployment

Production cloud infra on Google Cloud, with Azure, AWS & OCI familiarity.

GCP GKE Compute Engine Cloud Run Cloud Storage VPC Load Balancers Docker Docker Compose Kubernetes Helm Azure AWS OCI

CI/CD & IaC

Automated, repeatable deployments and infrastructure as code.

Terraform Jenkins GitHub Actions GitLab CI Cloud Build Ansible Maven Artifact Registry JFrog SonarQube

Monitoring & Observability

Proactive detection, real-time metrics, and clean incident response.

Cloud Monitoring Cloud Logging Cloud Trace Cloud Profiler Prometheus Grafana Loki Kibana

Scripting & Automation

Shell, Python, YAML & JSON — the glue of every DevOps pipeline.

Shell Bash Python YAML JSON

Programming & Databases

Solid app-side foundation to bridge Dev and Ops.

Java MySQL Oracle MongoDB Vertex AI

Tools & Workflow

Day-to-day tools that keep teams shipping.

Git GitLab GitHub Bitbucket Jira PuTTY WinSCP Linux / Unix Agile Scrum Kanban DevSecOps

04 · Featured work Things I've built & broken

Personal · Next.js 14 · GitHub Pages

Learninx · learninx.site

Built and shipped an end-to-end interactive Linux learning platform that teaches the command line through short lessons, hands-on challenges, and a safe in-browser terminal sandbox. No login, accounts, or database required; learning progress is tracked using a signed per-browser cookie.

Next.js 14 GitHub Copilot Claude Code GitHub Pages
Personal · GKE · Cloud Run

doGood · wedogood.help

Deployed an end-to-end full-stack web application supporting orphan children and elders. The platform is designed to simplify and encourage donations of goods such as clothes, food, and books rather than money. Currently under active development.

GKE Cloud Run Cloud SQL GCP

05 · Certifications Validated expertise

Professional Cloud Architect
Google Cloud
View Credential
Professional Cloud DevOps Engineer
Google Cloud
View Credential
Professional Cloud Security Engineer
Google Cloud
View Credential
Associate Cloud Engineer
Google Cloud
View Credential
Generative AI Leader
Google Cloud
View Credential
Digital Leader
Google Cloud
View Credential
MuleSoft Certified Developer L1
MuleSoft
View Credential

06 · Education Where I studied and what I achieved

Education

  • M.S. in Computer Science University of South Dakota · GPA 3.9 / 4 · Jan 2025 – May 2026
  • B.Tech in Computer Science & Engineering Audisankara Institute of Technology · GPA 7.01 / 10 · 2015 – 2019

Achievements

07 · Photography Moments through my lens

A curated set of moments I've captured. Click any photo to open the full gallery.

08 · Resume The full story on one page

Raveendra Pujari

DevOps Engineer · GCP, Kubernetes, MLOps

USA Open to roles M.S. CS · USD
3+
Years
6×
GCP Certs
2
Awards

Highlights

  • Cloud-native infra on GCP with production GKE Autopilot workloads.
  • Terraform, Jenkins, and Cloud Build pipelines — 20% faster deploys.
  • MLOps on Vertex AI + Cloud Build — training, A/B testing, rollback on GKE.
  • IAM, VPC, Ingress & Load Balancers for secure, scalable access.
  • Prometheus + Grafana monitoring and observability.
Resume preview 1 page · PDF Click to open

09 · Contact Let's build something great

Have a project, role, or idea?

Whether it's a new cloud architecture, a CI/CD overhaul, or a chat about Kubernetes — my inbox is open.