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.

Let's talk See my work

01 · About me Building reliable cloud systems

Hello! I'm Raveendra Pujari, a DevOps Engineer with 3+ years of experience designing, automating, and operating scalable cloud-native infrastructure on 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 also bring hands-on experience with MLOps pipelines using Vertex AI and Cloud Build for training, validating, and deploying machine-learning models on GKE Autopilot.

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

Years Exp

GCP Certs

Effort Saved

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 apps using Cloud Build + Maven — reduced build & deploy times by 20%.
Built Docker images and deployed containerized microservices on GKE Autopilot.
Provisioned GCP infra & clusters with Terraform — improved deployment consistency.
Configured VPC, firewall rules, and HTTP(S) Load Balancers for secure, scalable access.
Implemented Kubernetes Ingress controllers on GKE Autopilot for external traffic routing.
Applied IAM best practices — service accounts & least-privilege access.
Set up Prometheus + Grafana for real-time GKE observability.
Built MLOps pipelines with Vertex AI + Cloud Build — automated training, validation, and deployment of ML models with versioned rollouts, A/B testing, and rollback on GKE Autopilot.

Capgemini

Bangalore, IN

Associate II – Software Engineer

Aug 2021 – Oct 2023 Cloud & DevOps

Built CI/CD pipelines with Jenkins, migrated workloads from OpenShift to GCP.
Containerized apps with Docker and deployed to GKE for consistent rollouts.
Automated infra with Terraform + Ansible — reduced config drift.
Configured Ingress controllers, HTTP(S) LBs, Cloud DNS, VPC & firewall rules.
Maintained Terraform remote backend on GCS for centralized state.
Wrote Shell automation — cut manual ops effort by 40%.
Monitored with Cloud Monitoring & Cloud Logging; resolved production issues.

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 MLOps

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 · GKE · Cloud Run

doGood · wedogood.help

End-to-end full-stack web application supporting orphan children and elders — encourages donations of goods (clothes, food, books) over money. Active development.

GKECloud Run Cloud SQLGCP

Live site

CI/CD · GKE Autopilot

Chatbot Microservices Platform

Containerized Java chatbot microservices on GKE Autopilot with Cloud Build pipelines — 20% faster deploys.

GCPGKE Cloud BuildDocker

Migration · Terraform

OpenShift → GCP Migration

Migrated billing & invoicing workloads from OpenShift to GKE with Terraform IaC and zero-downtime cutover.

TerraformGKE Ansible

MLOps · Vertex AI

MLOps Pipelines on GKE

End-to-end ML pipelines with Vertex AI + Cloud Build — automated training, validation, versioned rollouts, A/B testing, and rollback on GKE Autopilot.

Vertex AICloud Build GKE

Observability

GKE Monitoring Stack

Prometheus + Grafana dashboards for GKE Autopilot workloads — real-time metrics and proactive incident detection.

PrometheusGrafana GKE

Security · IAM

Cloud Security Hardening

IAM least-privilege model, service-account isolation, and network policies for production GKE clusters.

IAMVPC GKE

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

Outstanding Contribution in Delivery Capgemini Engineering · Hughes client
WOW Award Capgemini Engineering · Hughes engagement
RedHat Drive Winner Infosys Red Hat Ascend Skills Network · most certification badges