AWS Cloud DevOps Engineer
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Open to Opportunities  ·  Immediate Joiner

Chakravarthy
Amajala
Cloud DevOps
Engineer

$

Building resilient cloud infrastructure and automating deployment pipelines at scale. Specializing in AWS, Kubernetes, Terraform, and production-grade CI/CD systems that teams rely on 24/7.

0+
Yrs Exp.
0%
Faster CI/CD
0
Live Systems
0+
AWS Services
Contact Me
☁️ AWS EC2 + EKS
🏗️ Terraform IaC
Immediate Joiner
🔧 Jenkins CI/CD
☸️ Kubernetes
📊 Prometheus
Chakravarthy Amajala — DevOps Engineer
About Me

Building cloud systems that never sleep

I'm a Cloud DevOps Engineer with 2.8 years of hands-on experience designing, automating, and managing production-grade cloud infrastructure. My work spans the full DevOps lifecycle — from the first Terraform resource to live Grafana dashboards in production.

I thrive where reliability and velocity both matter. Whether it's zero-downtime Kubernetes rollouts, hardened AWS networking, or shipping four distinct production systems for different domains — I build infrastructure that engineering teams trust at 3 AM.

"Infrastructure as code isn't just a practice — it's how I think about every system I touch."
Location
India 🇮🇳
Availability
Immediate Joiner ✓
Phone
+91 8712358118
Email
chakridevops16@gmail.com
🇬🇧 English — Professional 🇮🇳 Telugu — Native
2.8

Years Professional Experience

Enterprise cloud infrastructure and DevOps automation across insurance, fintech, and web domains.

60%

Deployment Effort Reduced

End-to-end CI/CD pipelines with Jenkins, SonarQube, Docker, and Nexus artifact management.

4

Production Systems Shipped

LOS, API Gateway, corporate website, and enterprise CI/CD — all live and serving real users.

0

Downtime Deployments

Kubernetes rolling update strategy with health probes ensures zero-downtime on every push.

Professional Journey

Work Experience

Building and operating cloud-native systems that power enterprise applications at scale.

Aug 2023 – Apr 2026 Full-Time
Cloud DevOps Engineer
Enterprise Technology Services
Primary Project: MetLife APPS — Auto Policy Processing System · Insurance | Cloud-Native
  • Designed and maintained end-to-end CI/CD pipelines with Jenkins, Git, Maven, SonarQube, and Nexus — reducing manual deployment effort by 60% across 3 environments
  • Containerized microservices using Docker and deployed on Kubernetes (EKS) with rolling updates and zero-downtime strategies
  • Provisioned AWS infrastructure using Terraform; managed configuration drift with Ansible playbooks across DEV, QA, UAT
  • Implemented Prometheus + Grafana + CloudWatch monitoring stack with proactive alerting and custom dashboards
  • Managed 12+ AWS services in production: EC2, VPC, IAM, S3, RDS, Lambda, Route 53, EKS, SNS, EventBridge, CloudTrail, CloudWatch
  • Architected and deployed 4 distinct production systems independently — LOS, API Gateway, website infrastructure, and enterprise DevOps automation
  • Hardened Linux servers: UFW firewall, SSH key-only auth, fail2ban, IAM least-privilege policies
  • Authored runbooks, architecture docs, and deployment SOPs adopted across the team
AWSJenkinsKubernetesDocker TerraformAnsiblePrometheusGrafana NginxFastAPINode.jsLinux
2020 – 2023 Education
🎓
Bachelor of Science (BSc)
Adikavi Nannayya University
Ramachandrapuram, Andhra Pradesh · Graduated 2023
Production Systems

Featured Projects

Four distinct production systems engineered, deployed, and operated independently — each live and serving real users.

Fintech · Infrastructure
🏦
Finaxle LOS & CRM Infrastructure

End-to-end cloud infrastructure for a production Loan Origination System (LOS) and CRM platform. Sole DevOps engineer responsible for the full stack — from AWS provisioning to SSL automation, reverse proxy tuning, and zero-downtime deployments.

Key Responsibilities
  • Provisioned and hardened AWS EC2 instances (Ubuntu) with strict security group rules and VPC subnetting
  • Configured Nginx as reverse proxy routing traffic to Node.js (PM2) and FastAPI (systemd/Uvicorn) services
  • Integrated Cloudflare CDN for DDoS mitigation, WAF rules, and global edge caching
  • Automated SSL with Let's Encrypt + certbot and Cloudflare Origin certificates via cron renewal
  • Implemented CI/CD via GitHub webhooks + shell scripts for zero-downtime rolling restarts
[ Internet ] → Cloudflare CDN (WAF + DDoS)[ AWS EC2 — Ubuntu ] Nginx Reverse Proxy (SSL Termination) ├── /api → Uvicorn:FastAPI (systemd) └── / → Node.js CRM (PM2 cluster)[ Data ] PostgreSQL RDS · AWS S3 Assets
AWS EC2NginxPM2 CloudflareSSL/TLSUbuntu SystemdLet's Encrypt
Live in Production
API Platform · Backend Infra
API Hub Gateway & Bureau Analyser

High-availability API gateway and credit bureau analysis engine for a fintech platform. Deployed FastAPI micro-services with Uvicorn worker pools, Redis caching layer, and AWS S3 for document storage — with full Prometheus observability.

Key Responsibilities
  • Deployed FastAPI services with multi-worker Uvicorn behind Nginx, managed via systemd for process supervision
  • Configured Redis for API response caching and session management, cutting average latency by ~40%
  • Integrated AWS S3 for secure document upload, storage, and pre-signed URL generation
  • Set up Prometheus metrics export from FastAPI + node_exporter, visualised in Grafana dashboards
  • Wrote systemd unit files with auto-restart, journal logging, and resource limits for reliability
[ Client Requests ] → Nginx (rate-limit + proxy_pass)[ FastAPI Workers (Uvicorn × 4) ] ├── Redis Cache Layer ├── AWS S3 Document Store └── Bureau API Integrations[ Observability ] Prometheus → Grafana Dashboards
FastAPIUvicornSystemd RedisAWS S3Prometheus NginxGrafana
Live in Production
Corporate Web · Next.js
🌐
RichPay Fincorp Website Deployment

Production deployment of the RichPay Fincorp corporate website — a Next.js SSR application. Managed full infrastructure from server provisioning to CDN, SSL, and automated deployment pipeline with PM2 cluster mode for zero-downtime builds.

Key Responsibilities
  • Provisioned Ubuntu EC2 instance, configured VPC, security groups, and elastic IP assignment
  • Set up PM2 in cluster mode for Next.js SSR with CPU-aware worker count and auto-restart policies
  • Configured Nginx as a reverse proxy with HTTP/2, gzip compression, cache-control headers, and SSL offloading
  • Routed traffic through Cloudflare with page rules, SSL full-strict, and edge caching for static assets
  • Wrote deployment scripts for git pull → npm build → pm2 reload pattern with rollback capability
[ User ] → Cloudflare Edge (Cache + SSL)[ AWS EC2 — Nginx ] HTTP/2 · gzip · proxy_cache[ Next.js SSR — PM2 Cluster ] pm2 start npm -- start (× CPU cores)[ Deploy Flow ] git pull → npm build → pm2 reload
Next.jsPM2Nginx CloudflareSSLAWS EC2 UbuntuHTTP/2
Live in Production
Enterprise · CI/CD & DevOps
🚀
DevOps Automation Platform

Enterprise-grade DevOps automation for the MetLife APPS insurance platform — end-to-end CI/CD with code quality gates, container orchestration, and IaC-driven multi-environment infrastructure. Reduced manual deployment effort by 60%.

Key Responsibilities
  • Designed Jenkins declarative pipelines: Git → Maven → SonarQube quality gate → Nexus → Docker → ECR → EKS
  • Authored Terraform modules for VPC, EC2, EKS, IAM, S3, RDS provisioning with remote S3 state + DynamoDB lock
  • Wrote Ansible playbooks for OS hardening, package installation, and configuration management across environments
  • Deployed microservices to AWS EKS with Helm charts, HPA, resource quotas, and namespace RBAC
  • Enforced SonarQube quality gates: 80% coverage minimum, zero critical findings before artifact publish
[ Source ] GitHub → Jenkins Webhook[ Build ] Maven → SonarQube Gate → Nexus[ Package ] Docker Build → AWS ECR Push[ Deploy ] Helm → EKS Rolling Update[ IaC ] Terraform + Ansible (DEV/QA/UAT)
JenkinsDockerKubernetes TerraformAnsibleSonarQube NexusAWS ECRHelm
Enterprise Production
Live Production Work

Infrastructure Deep Dive

A closer look at the Finaxle LOS — the most architecturally complex system I've deployed end-to-end.

Production · Fintech · Sole DevOps Owner
Finaxle Loan Origination System
Responsible for the complete infrastructure lifecycle of a live LOS — from day-0 AWS provisioning through SSL automation, reverse proxy tuning, process management, security hardening, and ongoing deployments. Built to handle loan application flows, credit bureau checks, and CRM workflows in production.
Live in Production
☁️

AWS Infrastructure

EC2 provisioning, security groups, VPC subnetting, and elastic IP on Ubuntu 22.04 LTS

🔀

Nginx Reverse Proxy

Upstream load balancing, HTTP/2, gzip, proxy caching, and virtual host routing

🌐

Cloudflare CDN

DNS management, WAF rules, DDoS protection, edge caching, and page rules

🔒

SSL / TLS Automation

Let's Encrypt via certbot + Cloudflare Origin certs, auto-renewed via cron jobs

🐍

FastAPI / Uvicorn

Python API services with multi-worker Uvicorn pools, supervised by systemd units

⚙️

Node.js + PM2

CRM frontend in cluster mode with CPU-aware workers, zero-downtime pm2 reload

🔄

CI/CD Pipeline

GitHub webhooks → deploy scripts → pm2 reload / systemctl restart with rollback

🛡️

Security Hardening

UFW rules, SSH key-only, fail2ban, CloudTrail auditing, IAM least-privilege

Full Technology Stack

AWS EC2UbuntuNginx CloudflareDockerGitHub PythonFastAPINode.js PM2SystemdUvicorn RedisAWS S3PostgreSQL RDS SSL/TLSLet's EncryptShell Script PrometheusGrafanaUFW
Technical Expertise

Skills & Tools

Technologies I use daily to build, ship, and operate production systems.

🔧 Core DevOps & Cloud
☁️
AWS
🐳
Docker
☸️
Kubernetes
🏗️
Terraform
⚙️
Ansible
🔧
Jenkins
🐧
Linux
🐙
Git / GitHub
🌐 Web & Application Layer
🔀
Nginx
🌐
Cloudflare
🐍
Python
FastAPI
🟢
Node.js
🔄
PM2
🔩
Systemd
🔒
SSL / TLS
📊 Monitoring, Quality & Artifacts
📊
Prometheus
📈
Grafana
🔭
CloudWatch
🔍
SonarQube
📦
Nexus
📋
Maven
📝
Jira
💻
Shell Script
🟠 AWS Services
🖥️
EC2
🌐
VPC
🛡️
IAM
🪣
S3
🗺️
Route 53
🗄️
RDS
λ
Lambda
👁️
CloudWatch
🔍
CloudTrail
🔔
SNS
🗓️
EventBridge
☸️
EKS
Impact & Results

Key Achievements

Measurable results from real production DevOps engineering.

60%

Faster Deployments

End-to-end CI/CD pipelines cutting manual deployment effort by 60% across all environments.

🚫
Zero

Downtime Deployments

Kubernetes rolling updates with liveness/readiness probes ensuring zero production downtime.

🏭
4

Production Systems Live

LOS, API Gateway, Corporate Website, Enterprise CI/CD — all independently architected and deployed.

☁️
12+

AWS Services in Production

EC2, EKS, VPC, IAM, S3, RDS, Lambda, Route 53, CloudWatch, CloudTrail, SNS, EventBridge.

🔁
3

Consistent Environments

DEV, QA, and UAT in perfect parity via Terraform IaC and Ansible configuration management.

📊
Full

Observability Stack

Prometheus + Grafana + CloudWatch monitoring with proactive alerts for all production systems.

Get in Touch

Let's build something extraordinary

I'm actively seeking Cloud DevOps / AWS DevOps Engineer roles and available for an immediate start. Reach out for full-time roles, contract infrastructure work, or a conversation about DevOps.

Send a Message