Pruthvi Raj D S — DevOps & Cloud Engineer
Open to DevOps & Cloud Roles — Bengaluru, KA

Pruthvi Raj D S

>  DevOps Engineer

“Building reliable, automated and cloud-native infrastructure.”

Hands-on early-career DevOps & Cloud Engineer with practical internship and project experience automating CI/CD pipelines, containerizing workloads with Docker & Kubernetes (Amazon EKS), provisioning scalable AWS infrastructure with Terraform & Ansible, and integrating DevSecOps security scans.

AWS & Linux Kubernetes & Docker CI/CD & Jenkins Terraform & Ansible IaC DevSecOps (SonarQube + Trivy)
View Projects View GitHub Download Resume Contact Me

Background

Engineering Reliable Infrastructure

pruthvi@devops-node: ~/profile

$ cat summary.txt

I am a Computer Science & Engineering undergrad at Proudhadeveraya Institute of Technology (VTU) with a deep focus on DevOps, Cloud Computing, and Infrastructure Automation.

My approach centers on building reproducible, self-healing, and secure deployment pipelines. Through hands-on internship experience at Rooman Technologies and personal production-grade projects, I have implemented end-to-end continuous integration, continuous delivery, Docker containerization, Kubernetes orchestration on Amazon EKS, and Infrastructure as Code using Terraform and Ansible.

$ echo $CORE_PHILOSOPHY

"Automate everything that can be automated; secure every artifact before it reaches production; build infrastructure as code for deterministic reliability."

☁️

Cloud & Infrastructure as Code

Architecting multi-tier AWS environments using EC2, VPC, IAM, RDS, S3, and ELB, codified declaratively with Terraform and automated with Ansible playbooks.

⚙️

Container Orchestration & CI/CD

Building Jenkins declarative pipelines integrated with Maven, Docker multi-stage builds, and Amazon EKS deployments featuring self-healing and zero-downtime rollbacks.

🛡️

DevSecOps & Observability

Shifting security left by enforcing SonarQube quality gates, Trivy container vulnerability scanning, strict IAM least-privilege policies, and CloudWatch/Prometheus monitoring.

Technical Competencies

Core Skills & Technologies

Hands-on technologies directly utilized in my production projects and internship workflows.

AWS Cloud

Core Infrastructure & Services

Hands-on experience provisioning, securing, and operating cloud resources using AWS Management Console and AWS CLI.

EC2 VPC IAM RDS ECR EKS S3 ECS CloudWatch Elastic Load Balancing AWS CLI

DevOps & Automation

CI/CD & Orchestration

Automated build, test, container packaging, and declarative cloud delivery workflows.

Jenkins Docker Kubernetes Terraform Ansible Git GitHub Maven

Security & Monitoring

DevSecOps & Observability

Static analysis, container vulnerability scanning, firewall configurations, and metrics monitoring.

SonarQube Trivy DevSecOps IAM Policies Security Groups SSH Prometheus Grafana

Scripting & Systems

Environment & Tooling

Shell scripting for server provisioning, automation tasks, Linux system administration, and relational databases.

Linux (Ubuntu/RHEL) Bash Scripting Python MySQL

Ecosystem

DevOps Toolchain Matrix

A concise map of the specialized tools and technologies powering my delivery pipeline.

SOURCE CONTROL
Git + GitHub
Branching strategies, PR workflows & webhook triggers
CI & BUILD
Jenkins + Maven
Declarative pipelines, automated build & unit tests
CODE QUALITY
SonarQube
Static analysis, code smells, test coverage & quality gates
SECURITY
Trivy + IAM + Sec Groups
Container image CVE scanning & least-privilege policies
CONTAINERIZATION
Docker
Multi-stage Dockerfiles, lean images & daemon config
ARTIFACT REGISTRY
Nexus + Amazon ECR
Versioned binary repo & secure container image storage
ORCHESTRATION
Kubernetes + Amazon EKS
Deployments, Services, ConfigMaps, Secrets, Probes & Self-healing
INFRASTRUCTURE AS CODE
Terraform + Ansible
Declarative cloud provisioning & configuration management
CLOUD PLATFORM
Amazon Web Services
EC2, VPC, IAM, RDS, S3, ECS, ELB, CloudWatch & AWS CLI
OBSERVABILITY
CloudWatch + Prometheus + Grafana
System alarms, cluster health metrics & dashboarding

Career Journey

Professional Experience

● INTERNSHIP EXPERIENCE Feb 2026 — May 2026

Cloud Computing & DevOps Intern

Rooman Technologies  ·  Bengaluru, Karnataka

Served as a Cloud Computing & DevOps intern with primary focus on cloud infrastructure provisioning, CI/CD pipeline automation, and security scanning on AWS:

  • CI/CD Workflow Engineering: Built and operated automated CI/CD pipelines using Jenkins, Maven, Docker, SonarQube, Trivy, Amazon ECR/ECS, triggered automatically via GitHub webhooks.
  • End-to-End Automation: Automated build, test, static quality scanning, artifact management, containerization, and cloud deployment lifecycles for repeatable rollouts.
  • AWS Infrastructure Operations: Provisioned and managed AWS EC2, S3, IAM, VPC, RDS, ECR, ECS, and CloudWatch metrics/alarms using AWS CLI, security groups, and least-privilege access.
  • Infrastructure as Code & Linux: Employed Terraform for declarative resource provisioning and Ansible for server configuration management; worked extensively in Linux environments with custom Bash automation scripts.
AWS (EC2, S3, VPC, RDS, ECR, ECS) Jenkins Docker SonarQube Trivy Terraform Ansible Linux & Bash GitHub Webhooks

Methodology

How I Build & Deploy

The standard automated DevSecOps lifecycle implemented across my cloud deployment projects.

💻
1. Code
Local Git commit
→
🔗
2. GitHub
Webhook trigger
→
⚙️
3. Jenkins
Pipeline runner
→
📦
4. Maven
Compile & Package
→
🔍
5. SonarQube
Quality Gate
→
🐋
6. Docker
Container build
→
🛡️
7. Trivy
Vulnerability scan
→
☁️
8. Amazon ECR
Image registry
→
⛑️
9. Amazon EKS
Rolling rollout
→
📊
10. Monitor
CloudWatch / Prom
STAGE 1 OF 10 · SOURCE CONTROL

Code & Feature Branching

Developers write application and infrastructure code locally, test unit components, and commit clean changes to feature branches using Git.

Git Feature Branch Semantic Commits

Cloud Design

Practical Cloud Architecture

How traffic, compute, storage, and automated infrastructure are orchestrated on AWS.

Production Traffic & Container Flow

🌐 Internet Clients Public Web Traffic
↓ HTTPS (443 / 80)
⚖️ AWS Elastic Load Balancer (ELB) Public Subnet · SSL · Target Health Checks
↓ Target Groups Routing
⛑️ Amazon EKS / EC2 Auto Scaling Private Subnets · 2 Replicas · Self-Healing Pods
↓ JDBC / Port 3306 (Secured)
🗃️ Amazon RDS (MySQL) Isolated DB Subnet · Security Group Whitelist

Infrastructure as Code Provisioning

📄 Terraform & Ansible Declarative HCL & YAML Playbooks
↓ terraform apply & ansible-playbook
🔑 AWS IAM & CLI Authentication Least-privilege Role Assumption
↓ API Orchestration
☁️ AWS VPC & Cloud Foundation Subnets, Route Tables, NAT Gateways & Security Groups
↓ Continuous Metrics
📈 CloudWatch & Prometheus Health Alarms & Cluster Telemetry

AWS Cloud Services In Production Context

EC2: Compute hosts, Golden AMIs & Auto Scaling workers
VPC: Segmented public/private subnets & network isolation
IAM: Granular RBAC, instance profiles & least privilege
RDS: Managed MySQL persistence with automated backups
ECR: Vulnerability-scanned immutable Docker registries
EKS: Managed Kubernetes control plane with self-healing
S3: Secure object storage, assets & Terraform remote states
ELB: Elastic Load Balancer routing with health checks
CloudWatch: CPU-scaling alarms, logs & system monitoring
ECS: Elastic Container Service task definitions & clusters

Portfolio Projects

Featured DevOps & Cloud Projects

Production-grade cloud-native platforms, progressive delivery systems, and automated DevSecOps pipelines grounded directly in my GitHub repositories.

★ FLAGSHIP PROJECT End-to-End Cloud-Native DevSecOps Kubernetes 1.30 & EKS

Wild Tour — Enterprise Cloud-Native DevSecOps Platform

Comprehensive end-to-end cloud-native deployment of an enterprise 3-tier Java application. Engineered automated build, unit testing, SonarQube code quality gates, hardened non-root Docker containerization, security validation, and deployment onto an Amazon EKS (Kubernetes 1.30) cluster backed by Amazon RDS MySQL and provisioned via Terraform & Ansible with automated self-healing.

Workflow Architecture:
GitHub Webhooks → Declarative Jenkins → Maven Build → SonarQube Quality → Docker (Non-Root) → Amazon ECR → Amazon EKS → K8s (2 Replicas) → Amazon RDS → AWS ALB (HTTP 200)
✓
Kubernetes Architecture: Configured 2 replicas, ClusterIP / LoadBalancer services, ConfigMaps for environment variables, and Kubernetes Secrets for encrypted database credentials.
✓
Reliability & Self-Healing: Enforced pod readiness and liveness probes, strict CPU/memory resource requests & limits, verified automated pod restart on crash, and executed seamless rollback.
✓
Infrastructure as Code: Provisioned multi-AZ AWS VPC, EKS cluster, and Amazon RDS MySQL instances with Terraform; configured container host operating environments with Ansible playbooks.
✓
Traffic & Verification: Exposed application via AWS Application Load Balancer with automated health checks; validated production traffic returning HTTP 200.
Java 17 Maven Jenkins Docker Kubernetes 1.30 Amazon ECR Amazon EKS Terraform Ansible Amazon RDS MySQL AWS ALB
View on GitHub
★ FLAGSHIP OBSERVABILITY Google SRE SLOs & Chaos Engineering AWS EKS & Prometheus

Centralized Observability Platform on AWS EKS

Enterprise-grade observability architecture on Amazon EKS utilizing the Prometheus Operator, Grafana, and Alertmanager. Implemented Google SRE Multi-Window Multi-Burn-Rate SLO alerting protecting error budgets against rapid and slow regressions, combined with synthetic FastAPI telemetry and automated chaos engineering stress testing.

Telemetry & Alerting Pipeline:
FastAPI Telemetry Generator → Prometheus Operator CRDs → PromQL SLO Rules → Multi-Burn-Rate Alerts → Alertmanager Routing → Grafana 10 Dashboards → Automated Chaos Testing
✓
Prometheus Operator & Helm: Provisioned kube-prometheus-stack via Helm with custom ServiceMonitors, PrometheusRules, and persistent AWS EBS volume storage.
✓
Google SRE SLO Framework: Engineered multi-window multi-burn-rate alerting rules (1h/6h/24h/3d windows) eliminating false-positive alert fatigue while catching real error budget burn.
✓
Grafana RED Dashboards: Designed custom dashboards visualizing RED metrics (Rate, Errors, Duration), cluster node saturation, pod memory/CPU headroom, and error budget burn.
✓
Automated Chaos Testing: Executed automated fault injection & CPU/memory stress scripts in Python to validate alert trigger latency, Alertmanager routing, and auto-recovery under stress.
AWS EKS Prometheus Operator Grafana 10 Alertmanager PromQL SRE SLOs Chaos Engineering Python FastAPI Helm v3
View on GitHub
☸
GitOps & K8s v1.30

Full GitOps EKS Platform

Enterprise-grade cloud-native infrastructure and automated continuous delivery platform built on Amazon EKS featuring declarative GitOps reconciliation with Argo CD, modular Terraform 1.5+ IaC, and automated vulnerability gating.

Argo CD Reconciliation: Automated continuous sync, self-healing, and zero-drift deployment from Git manifests into live Amazon EKS cluster state.
Modular Terraform IaC: S3 remote state backend with DynamoDB distributed state locking for multi-AZ VPC, EKS node groups, and RDS.
Trivy Vulnerability Gate: Automated pipeline security gates blocking image progression upon detection of critical or high CVEs.
Argo CD Amazon EKS Terraform 1.5+ Kubernetes v1.30 Helm v3 Jenkins Aqua Trivy ECR Prometheus
View on GitHub gitops-eks-platform →
🚀
Progressive Delivery & Rollback

Progressive Delivery Platform

Cloud-native progressive delivery platform on Amazon EKS automating Canary and Blue-Green deployments using Argo Rollouts and NGINX Ingress, continuously evaluating live Prometheus metrics to trigger automated rollbacks in <25 seconds.

Argo Rollouts & Ingress: Granular canary traffic splitting (10% → 25% → 50% → 100%) and instant Blue-Green traffic routing via NGINX Ingress.
Automated Metric Rollback: Automated rollback triggered in <25 seconds if error rate exceeds 1% or latency regressions spike during live canary steps.
GitHub Actions CI/CD: Fully automated workflow executing container builds, manifest validation, image scanning, and progressive rollout execution.
Argo Rollouts Kubernetes EKS 1.29 Canary Deployments NGINX Ingress Prometheus Automated Rollback GitHub Actions
View on GitHub progressive-delivery →
🏗️
Terraform 1.10+ & Security

Multi-Environment Terraform Platform

Production-grade multi-environment IaC platform built with Terraform 1.10+ on AWS implementing strict environment isolation (Dev, Staging, Prod), reusable DRY modules, native S3 state locking, and Checkov/tfsec security policy gates.

Strict Multi-Env Isolation: Dedicated state files, isolated VPCs, and independent security boundaries across Dev, Staging, and Production.
Native S3 State Locking: Leverages Terraform 1.10+ native S3 lockfile (use_lockfile = true) eliminating legacy DynamoDB locking overhead.
Automated Security Gates: Integrated Checkov and tfsec static analysis in CI enforcing zero high-severity misconfigurations before apply.
Terraform 1.10+ AWS VPC Amazon EKS Amazon RDS Jenkins CI/CD Checkov tfsec Native S3 Lock
View on GitHub Multi-Env-Terraform →
🛡️
CI/CD & DevSecOps

Enterprise DevSecOps CI/CD Pipeline

Hardened continuous integration and delivery pipeline built with Jenkins, Maven, SonarQube, Sonatype Nexus, Docker, and Aqua Security Trivy, establishing strict automated quality gates and container vulnerability scanning before AWS deployment.

SonarQube SAST Quality Gates: Automated static application security testing and code quality enforcement blocking builds that fail quality gates.
Nexus Artifact Repository: Centralized versioned storage for compiled JAR/WAR release artifacts with strict lifecycle retention policies.
Trivy Container Scanning: Automated image vulnerability scans detecting CVEs and preventing untrusted images from reaching AWS ECR/ECS.
Jenkins Maven SonarQube Nexus Docker Aqua Trivy AWS ECR/ECS Linux
View on GitHub enterprise-devops →
⚡
AWS Cloud Infra

AWS Scalable Web Architecture

Fault-tolerant, dynamically scalable cloud infrastructure on AWS utilizing Application Load Balancers and Auto Scaling Groups across multiple availability zones to ensure continuous high availability and automated self-healing.

Multi-AZ Load Balancing: Configured Application Load Balancer with listeners, health checks, and Target Groups across multiple AZs.
Dynamic Auto Scaling: Configured EC2 Launch Templates, min/max capacity thresholds, and CPU-based scaling policies.
Storage & Disaster Recovery: Managed EBS volumes, automated point-in-time snapshots, and baseline golden AMIs for rapid recovery.
AWS EC2 Auto Scaling ALB Launch Templates Target Groups EBS AMI Snapshots CloudWatch
View on GitHub aws-scalable-architecture →

Activity

GitHub & Code Repository

github.com/2004Pruthvi
Pruthvi's GitHub Contributions Chart
GitHub Stats Card Top Languages Card

Academics

Education

2022 — 2026

B.E. in Computer Science & Engineering

Proudhadeveraya Institute of Technology  ·  VTU

CGPA: 7.54 / 10 Hosapete, Karnataka

Undergraduate engineering coursework in Operating Systems, Computer Networks, Database Management Systems, Cloud Computing, and Software Engineering.

2020 — 2022

Pre-University Course (PUC) — Science

SMIORE Composite PU College

Score: 69.5% Vyasankere, Karnataka

Pre-university education with strong foundation in Physics, Chemistry, and Mathematics (PCMB).

Official CV

DevOps & Cloud Resume

“Specializing in repeatable deployments, automated CI/CD pipelines, container orchestration, and cloud infrastructure as code.”

☁️ Cloud & DevOps Intern 🎓 CSE ’26 ⚡ Immediate Joiner

— Pruthvi Raj D S

Download Resume

Connect

Get In Touch

Available for DevOps Engineer, Cloud Engineer, Platform Engineer, and SRE opportunities.

Pruthvi Raj D S
Pruthvi Raj D S
DevOps Engineer | Cloud Engineer
● Available for full-time opportunities

Looking for an energetic DevOps engineer?

Whether you have an opening for a DevOps Engineer, Cloud Engineer, or SRE, want to discuss cloud infrastructure, or review my code and pipelines — my inbox is always open.

pruthviraj462004@gmail.com
linkedin.com/in/pruthvirajds github.com/2004Pruthvi
Bengaluru, Karnataka, India

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Feel free to reach out directly via this form or by email.

Messages are sent directly to pruthviraj462004@gmail.com.