s
surajjadhav8

Suraj Jadhav

@surajjadhav8
Índia
Inglês, Hindi, Marata
Algumas informações são exibidas no idioma inglês.
Sobre mim
🚀 Are you looking to automate your deployment and scale your application on AWS or Kubernetes? I’m a certified AWS Solutions Architect Associate and experienced DevOps Engineer. I’ve set up scalable CI/CD pipelines, deployed apps on EC2, served assets via S3 + CloudFront, and configured domains using GoDaddy — all production-ready and secure. My services include: • CI/CD setup (GitHub Actions, Jenkins, etc.) • Deploying full-stack projects on AWS EC2 with NGINX or PM2 • S3 static hosting + CloudFront CDN + Route53/GoDaddy domain setup • SSL Certificate integration (Let’s Encrypt / ACM)... Saiba mais

Habilidades

s
surajjadhav8
Suraj Jadhav
offline • 

Conheça meus serviços

Consultoria para DevOps
I will deploy application on AWS ec2, s3, and kubernetes
A partir deUS$ 10 /projetoMais detalhes
Wordpress
I will build responsive frontend website using react, HTML CSS
A partir deUS$ 80 /projetoMais detalhes

Experiência profissional

Cloud Platform Engineer

Coupa software • Período integral

May 2022 - Present • 4 yrs

Developed and executed automated test suites using PyTest for system validation and regression workflows. • Built a Python ChatOps automation bot to execute platform validation workflows, significantly re- ducing manual test effort and improving reliability. • Developed CI/CD pipelines to automate build validation, regression workflows, and deployment ver- ification across microservices. • Automated health checks, log analysis, and system diagnostics for Kubernetes-based workloads. • Implemented API Gateway enablement by migrating traffic from Nginx Ingress Controller, improving routing, scalability, and security policies. • Managed containerized workloads on Kubernetes including Helm-based deployments, access control, and workload optimization. • Developed serverless deployment workflows using AWS Lambda for on-demand build deployments. • Focused on AWS cost optimization by analyzing resource consumption while maintaining performance and availability. • Performed peer code reviews and improved automation reliability, performance, and scalability.