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DevOps Engineer — Multi-Cloud Infrastructure, CI/CD Automation & SRE

AnuragPatil.

Building CI/CD, Kubernetes, and cloud platforms for 15+ production microservices on AWS, Azure, and GCP — cutting developer deployment wait time from 4 hours to under 10 minutes and reducing MTTR by 45%.

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Years Experience
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Microservices Managed
0%
Faster Deployments
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MTTR Reduction
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About Me

Anurag Patil

Anurag Patil

DevOps Engineer

DevOps Engineer with 3.8+ years of experience building the CI/CD, Kubernetes, and cloud platforms that help software teams ship faster and safer. Works across AWS, Azure, and GCP using Terraform, Docker, Kubernetes (Amazon EKS), Python, and Bash, and has built AI-powered DevOps automation with LangChain and LangGraph.

Cut developer deployment wait time from 4 hours to under 10 minutes, kept a 99.8% pipeline success rate across 15+ microservices with Jenkins and GitHub Actions, and reduced MTTR by 45% with Prometheus, Grafana, and the ELK Stack.

Pune, Maharashtra, India
DevOps Engineer
3.8+ Years
+91-9226521573
patilanurag1703@gmail.com
linkedin.com/in/anuragpatil17
github.com/AnuragPatil-cloud
Open to Opportunities
02

Technical Skills

☁️
Cloud Platforms

AWS

EC2 EKS ECS ECR Lambda Elastic Beanstalk S3 EBS EFS RDS DynamoDB Redshift ElastiCache CloudFront Route 53 VPC ALB Security Groups IAM KMS SNS CloudWatch
☁️
Cloud Platforms

Azure

AKS Virtual Machines VNet Blob Storage Azure DevOps Azure Active Directory (AAD) Key Vault Azure Monitor
☁️
Cloud Platforms

GCP

GKE Compute Engine VPC Cloud Storage Cloud Build Artifact Registry Cloud SQL Cloud IAM Secret Manager Monitoring
🐳
Containers & Orchestration

Containers & Kubernetes

Docker Kubernetes Helm EKS AKS GKE Deployments Services Ingress HPA ConfigMaps Secrets Blue-Green & Canary Deployments
🔁
CI/CD & GitOps

Pipelines & GitOps

Jenkins GitHub Actions Azure DevOps Pipelines Cloud Build ArgoCD GitOps SonarQube Trivy Maven
🏗️
Infrastructure as Code

IaC & Config Mgmt

Terraform (reusable multi-cloud modules) AWS CloudFormation Ansible Chef Puppet
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Reliability Engineering

SRE Practices

SLIs/SLOs Error Budgets On-Call & Incident Response Chaos Engineering Runbook Automation Capacity Planning Load Testing Blameless Postmortems/RCA
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Monitoring & Observability

Monitoring & Logging

Prometheus Grafana Alertmanager kube-prometheus-stack AWS CloudWatch Azure Monitor Cloud Monitoring ELK Stack (Elasticsearch, Logstash, Kibana)
🔐
Security & DevSecOps

DevSecOps & Secrets Mgmt

HashiCorp Vault Kubernetes RBAC IAM Policies Kubernetes Secrets Azure Key Vault GCP Secret Manager Trivy (vulnerability scanning) SonarQube (code quality)
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Artifacts

Registries & Artifacts

Amazon ECR Google Artifact Registry Docker Hub
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Optimization

Cost & Reliability

Autoscaling Right-Sizing ECR Lifecycle Policies Rolling Updates Rollbacks Zero-Downtime Releases
💻
Applications

Application Stack (deployed in projects)

React Spring Boot Spring Boot Actuator JDBC
🔁
Source Control

Version Control

Git GitHub
💻
Scripting & Languages

Scripting & Languages

Python Bash Groovy
🗄️
Databases & Networking

Data & Networking

MySQL PostgreSQL MongoDB MariaDB TCP/IP DNS HTTP/HTTPS VPC Load Balancing
💻
Operating Systems

Operating Systems

Linux (Ubuntu, RHEL, CentOS) systemd Process Monitoring User & Permission Management
🤖
AI/ML & Automation

AI-Powered Automation

LangChain LangGraph Google Gemini MCP AWS Bedrock Groq AI Agents (ReAct pattern)
🤝
Collaboration

Ways of Working

DevOps DevSecOps GitOps Infrastructure as Code SRE Microservices Root Cause Analysis (RCA)
03

Experience

Pentagram Infotech Private Limited
DevOps Engineer, Platform Engineering Team
Sep 2023 — Present
📍 Hyderabad, India (Hybrid)
  • Architected and maintained scalable CI/CD pipelines using Jenkins and GitHub Actions across 15+ microservices, achieving a 99.8% pipeline success rate.
  • Reduced infrastructure costs by 35% and accelerated deployment speeds by 70% by leading a Docker containerization initiative and a seamless Kubernetes (Amazon EKS) cluster migration.
  • Eliminated manual provisioning errors across development, staging, and production environments by automating scalable multi-cloud infrastructure (AWS, Azure, GCP) provisioning using reusable Terraform modules and CloudFormation templates.
  • Reduced developer deployment wait times from 4 hours to under 10 minutes while enabling secure self-service deployments by implementing GitOps continuous delivery workflows using ArgoCD.
  • Decreased Mean Time to Resolution (MTTR) by 45% when troubleshooting production issues by designing a centralized monitoring stack with Prometheus, Grafana, ELK Stack, Alertmanager, and 50+ custom dashboards.
  • Enforced security best practices and compliance standards across 20+ production services by integrating Trivy container scanning and SonarQube quality gates directly into active CI pipelines.
  • Cut image storage costs by 28% for the organization's container repository by configuring automated Amazon ECR image lifecycle policies.
  • Hardened and configured over 80+ Ubuntu Linux EC2 instances by building and deploying standardized Python and Bash scripts, alongside Ansible, Chef, and Puppet for scalable configuration management.
  • Achieved zero-downtime production releases for high-traffic, high-availability production environments by implementing advanced Blue-Green and Canary deployment strategies using Kubernetes and AWS ALB.
  • Eliminated hardcoded environment credentials across all development environments by architecting and managing HashiCorp Vault for centralized secrets governance.
  • Standardized site reliability engineering (SRE) practices and improved release cycles by collaborating with development teams and maintaining infrastructure documentation alongside SLIs, SLOs, and error budgets.
Multi-Cloud Kubernetes AWS, Azure & GCP Terraform Ansible, Chef & Puppet CI/CD Automation GitOps & ArgoCD Monitoring & Observability SRE Practices DevSecOps & HashiCorp Vault SonarQube Cost Optimization
Pentagram Infotech Private Limited
DevOps Engineer Intern
Mar 2023 — Aug 2023
📍 Hyderabad, India (Hybrid)
  • Designed and implemented a Jenkins-based CI/CD pipeline that reduced manual deployment effort by 60% through automated build, test, and deploy stages.
  • Configured GitHub webhooks to trigger automated build and deployment workflows on every code commit, enabling rapid feedback loops for the development team.
  • Collaborated with development teams to integrate SonarQube for static code analysis into the CI pipeline, improving code quality across all services.
  • Containerized 3-tier web applications using Docker, writing custom Dockerfiles and Docker Compose configurations to ensure consistent environments across development, staging, and production.
  • Built and pushed Docker images to Docker Hub as part of the CI pipeline; managed image versioning and tagging conventions across multiple services.
  • Configured Docker networking and persistent volumes to enable seamless communication between application containers and database services.
  • Deployed and managed containerized microservices on a Kubernetes cluster using Deployments, Services, and ConfigMaps, maintaining 99.5% uptime across all environments.
  • Configured Kubernetes Horizontal Pod Autoscaler (HPA) to handle traffic fluctuations and implemented rolling update strategies for zero-downtime releases.
  • Automated provisioning of AWS EC2 instances, VPCs, and security groups using Terraform, reducing infrastructure setup time by 40% and eliminating manual configuration errors.
  • Managed Terraform state files remotely using an S3 backend with state locking via DynamoDB, ensuring safe concurrent infrastructure operations.
  • Monitored application health and infrastructure metrics using Prometheus and Grafana dashboards; configured alerts via CloudWatch for EC2 and RDS services.
  • Administered Linux (Ubuntu) servers, including user management, cron job scheduling, log rotation, and firewall configuration using UFW.
Jenkins CI/CD Docker Kubernetes Terraform Prometheus & Grafana SonarQube Linux
04

Projects

PROJECT // 01

Multi-Cloud Flight Reservation Platform — AWS EKS, Azure AKS & GCP GKE

  • Deployed one flight booking and check-in platform (a React frontend and 2 Spring Boot microservices) to 3 clouds from a single codebase, with each cloud's Terraform, Jenkins pipeline, Kubernetes manifests, and monitoring config kept in its own folder.
  • Wrote Terraform modules (11 each on AWS and GCP, 6 on Azure) for networking, IAM, private Kubernetes clusters, managed databases, registries, and alerting.
  • Automated delivery with 10-stage Jenkins pipelines on AWS and GCP that run SonarQube analysis, push versioned images to Amazon ECR or Artifact Registry, and commit image tags for Argo CD to sync (automated sync, self-heal, prune).
  • Set up kube-prometheus-stack (Prometheus, Grafana, Alertmanager) with Helm on all 3 clouds, with alerts through CloudWatch/SNS, Azure Monitor action groups, and Cloud Monitoring.
  • Stored no cloud access keys in Jenkins on AWS and GCP by using IAM instance roles, service accounts, private Kubernetes endpoints, and private encrypted databases (RDS, Cloud SQL).
React Spring Boot Docker Kubernetes Terraform Jenkins SonarQube Argo CD Prometheus Grafana
PROJECT // 02

Multi-Cloud Student Registration Platform — DevSecOps, Kubernetes & GitOps on AWS EKS, Azure AKS & GCP GKE

  • Deployed a cloud-neutral React and Spring Boot app to AWS EKS, Azure AKS, and GCP GKE from one shared Helm chart and one set of container images, with separate Terraform, Helm values, and Argo CD applications for each cloud.
  • Blocked HIGH and CRITICAL vulnerabilities from reaching Docker Hub by adding a Trivy scan and SonarQube analysis to one Jenkins pipeline that then updates Helm values for Argo CD.
  • Ran one backend image against 3 databases (AWS RDS MariaDB, Azure MariaDB, GCP Cloud SQL MySQL) by moving the connection into a single DB_URL variable and bundling both JDBC drivers.
  • Added Kubernetes health probes on Spring Boot Actuator endpoints and monitoring with Prometheus, Grafana, CloudWatch, Azure Monitor, and Cloud Monitoring for safer rollouts.
React Spring Boot Docker Helm Terraform Jenkins SonarQube Trivy Argo CD
PROJECT // 03

AI Agent Projects — Multi-Agent Suite for DevOps Automation

  • Built three AI agents for real DevOps tasks (GitHub automation, guardrailed CI/CD changes, and AWS infrastructure auditing) using LangChain and LangGraph ReAct patterns with Google Gemini.
  • Connected the official GitHub MCP server so an agent can create repos, branches, pull requests, merges, and issues from plain English, with 26 GitHub operations available as tools.
  • Limited the CI/CD agent to two approved tools and one feature branch, so it can write a Dockerfile and add a Docker build step to GitHub Actions without touching main.
  • Built an AWS audit agent that checks EC2, S3, VPC, and CloudWatch through the AWS CLI and writes findings and recommendations like a senior DevOps engineer.
Python LangChain LangGraph Google Gemini MCP AWS CLI
05

Education

B.Tech in Computer Science Engineering
DBATU University
Miraj, Maharashtra
Sep 2017 — Sep 2021
Computer Science & Engineering
AWS Cloud Practitioner Essentials (training course), AWS Cloud Quest: Cloud Practitioner, 10+ Azure Badges, Introduction to Linux (LFS101), Introduction to Kubernetes (LFS158)
AWS Certified Solutions Architect – Associate (SAA-C03), Certified Kubernetes Administrator (CKA)
7.6
CGPA
06

Contact

Let's Build Reliable Cloud Infrastructure Together.

Interested in DevOps, Cloud Engineering, Kubernetes, Infrastructure Automation, or Platform Engineering opportunities? Let's connect and discuss how I can contribute to your team.

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patilanurag1703@gmail.com
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+91-9226521573
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linkedin.com/in/anuragpatil17
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github.com/AnuragPatil-cloud
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