Sanjay Patel

whoami

Cloud infra by day, AIOps by design.

I build end-to-end delivery pipelines that go from a git push to a running, monitored service — with security gates at every stage, not bolted on at the end. That means OWASP Dependency Check, Trivy, SonarQube and Checkov checking every build before it ever reaches a cluster.

On the infrastructure side, I write modular Terraform for AWS, Azure and GCP, with remote state, drift detection, and cost estimation built into the workflow — not an afterthought once something breaks.

What I spend most of my energy on right now is AIOps: feeding logs, metrics and kubectl output to OpenAI GPT-4o and local Ollama models so root-cause analysis and remediation happen automatically, before someone gets paged at 3 AM.

Kubernetes & Container Orchestration92%

CI/CD — Jenkins, GitHub Actions, ArgoCD90%

Terraform & Infrastructure as Code88%

AWS (EC2, EKS, ECS, RDS, VPC…)85%

DevSecOps — OWASP, Trivy, SonarQube84%

AIOps — GPT-4o, Ollama, Flask83%

Monitoring — Prometheus, Grafana, Loki86%

Emailpatelsanjay0212@gmail.com

Phone+91 91792 93453

GitHubsanjay-9098

LinkedInsanjay-patel

EducationMCA · RGPV

Based inBhopal, India

StatusOpen to opportunities

tools --list

The stack I reach for

The full CI/CD, cloud, security and AIOps toolchain I use to take a service from commit to production and keep it healthy after.

⚙️

CI/CD & GitOps

Automated delivery from commit to production

JenkinsGitHub ActionsArgoCD Harness CI/CDAWS CodePipelineAzure DevOpsGitLab CI

🐳

Containers & Orchestration

Package, schedule and scale at any load

DockerKuberneteskOps EKS / AKS / GKEKanikoHelmNGINX Ingress

🏗️

Infrastructure as Code

Declarative, version-controlled, repeatable infra

TerraformTF ModulesS3 + DynamoDB State TFLintCheckovInfracostAnsible

☁️

Cloud Platforms

Multi-cloud fluency across AWS, Azure, GCP

EC2EKSECSVPC S3IAMRoute 53LambdaRDS

🛡️

DevSecOps & Security

Security gates baked into every pipeline stage

OWASPTrivySonarQube CheckovTFLintSecrets Manager

🤖

AIOps & AI Integration

Intelligent incident response & auto-remediation

OllamaOpenAI GPT-4oFlask PythonAuto-Remediation

📊

Monitoring & Observability

Metrics, logs and alerts, end to end

PrometheusGrafanaLoki AlertmanagerCloudWatchAzure Monitor

🗄️

Databases & Storage

Stateful workloads with durability built in

MySQL StatefulSetRedisAmazon RDS EBS PVCsS3Azure Blob

🔧

Tools & Collaboration

The enterprise toolchain, code to incident

Git / GitHubSlackJira ServiceNowPagerDutyDocker Hub

// a typical devsecops pipeline I build

📝

Commit

GitHub Webhook

→

🔍

SonarQube

Code quality gate

→

🛡️

OWASP + Trivy

Security scan

→

🐳

Docker Build

Kaniko / ECR

→

⎈

K8s Deploy

ArgoCD GitOps

→

🤖

GPT-4o RCA

Auto-remediation

→

📈

Prometheus

Grafana + alerts

git log --projects

What I've built

Seven production-style DevOps, cloud and AIOps projects, all designed and documented end-to-end.

AIOps · Featured

AI-Powered AIOps Incident Management System

Built an end-to-end incident platform: Alertmanager fires webhooks into a custom Flask AIOps Engine that gathers SSH and kubectl evidence before any analysis runs.
Forwarded structured system context — metrics, logs, top processes, disk/CPU state, journal errors — to OpenAI GPT-4o for root cause analysis, impact assessment and remediation steps.
Auto-Remediation Engine runs targeted fixes — service restart, cache clear, disk cleanup, high-CPU kill, pod restart, deployment scaling — with no human in the loop, cutting MTTR significantly.
Full incident reports (RCA, before/after metrics, remediation status) delivered to Slack, ServiceNow, Jira, Email and PagerDuty.

PrometheusFlaskGPT-4oKubernetesSlack

AI + IaC

Terraform + AI AIOps Pipeline

Designed a fully AI-assisted Terraform pipeline on GitHub Actions (self-hosted EC2 runner): init, fmt & validate, TFLint, Checkov, plan, and Infracost cost estimation in sequence.
Integrated a local Ollama model to review Terraform plans and post AI-generated risk scores, security findings and cost recommendations to Slack.
S3 remote state with versioning and DynamoDB locking; a manual approval gate via GitHub Environments protects production applies.
Nightly drift detection — scheduled Actions run terraform plan --detailed-exitcode and fire a Slack alert the moment infrastructure drifts.

GitHub ActionsOllamaTerraformAWSInfracost

DevSecOps

Zero-Downtime CI/CD — Tetris App V1 → V2 on Kubernetes

Architected an 8-stage Jenkins pipeline triggered by GitHub webhooks: checkout → SonarQube → build → security scan (OWASP + Trivy) → Docker build → push → manifest update → ArgoCD sync.
GitOps deployment across two repos — app source and a dedicated K8s-manifest repo — with ArgoCD continuously syncing the cluster to the latest image.
Achieved a seamless V1→V2 rollout: Jenkins updates the image tag, ArgoCD detects the change and performs a rolling deploy with zero service interruption.
Layered security gates: OWASP scans CVEs, Trivy does deep filesystem scanning, SonarQube enforces quality thresholds — the pipeline fails closed if any gate is breached.

JenkinsArgoCDOWASPTrivySonarQube

IaC · AWS

Terraform 3-Tier Architecture on AWS

Provisioned a production-ready 3-tier architecture (presentation, application, database) with modular Terraform and env-specific variable files for dev/prod.
ALB in public subnets routes to Auto Scaling Groups across multiple AZs; RDS MySQL sits in private subnets with Multi-AZ failover, encryption and automated snapshots.
Least-privilege security groups on every tier; remote state in S3 with DynamoDB locking to prevent concurrent state corruption.

TerraformAWS VPCALBRDS MySQL

Microservices

CloudCart — E-Commerce Microservices on Kubernetes

Designed and deployed 10 independently scalable microservices — auth, user, product, inventory, cart, order, payment, shipping, notification, review — each its own K8s deployment with 2 replicas.
Multi-layer traffic routing: Route 53 → ALB → NGINX Ingress, serving a React frontend and routing /api to a Node.js/Express API gateway.
MySQL as a StatefulSet on EBS gp3 PVCs; Redis caches cart sessions and product data to cut database load.
Full Prometheus + Grafana monitoring across all 10 services — health, latency, and resource usage.

kOpsReactNode.jsMySQLRedis

AI-Enabled IaC

Terraform + Harness + Ollama Infrastructure Automation

Built a 7-stage Harness CI/CD deploy pipeline: validate & fmt → Checkov → Terraform plan → Ollama AI review → manual approval → apply → Slack notification.
Deployed a Harness Docker Delegate on EC2 with IMDSv2 (hop limit 2) and an IAM instance profile — eliminating long-lived AWS access keys entirely.
Ollama performs AI-based risk analysis of the Terraform plan JSON, posting risk scores and cost recommendations to Slack ahead of the approval gate.
Shared S3 remote backend with DynamoDB locking across both the deploy pipeline and a separate 3-stage destroy pipeline for safe teardown.

Harness CI/CDTerraformOpenAI APICheckov

AIOps · CI/CD

AI-Powered CI/CD Failure Analysis Pipeline

Built a DevSecOps pipeline on a kOps cluster using dynamic Jenkins build-agent pods — separate containers for Node.js, Kaniko, Trivy, kubectl and Python — no static agents.
Kaniko builds images daemonless (no Docker socket mount); Trivy blocks any deploy with HIGH or CRITICAL vulnerabilities via --exit-code 1.
On any stage failure, logs are auto-collected and sent to a local Ollama model for root-cause analysis — a structured RCA report lands in Slack with the failed stage, evidence and recommended fix.
Prometheus scrapes Jenkins and app metrics; Grafana gives full observability across the pipeline and the running app.

JenkinsKanikoTrivyOllama

education --log

Background & training

Every project above is self-built and documented on GitHub — hands-on practice backed by structured, multi-cloud training.

2024 – Present

DevOps Trainee

NareshIT — Multi-Cloud DevOps Program

Hands-on training across Jenkins, Docker, Kubernetes, Terraform, AWS, GCP, Azure, DevSecOps, CI/CD and observability.
Built the AIOps incident management system as a self-project — automated RCA and remediation with GPT-4o and Ollama.
Architected the 8-stage DevSecOps Jenkins pipeline with OWASP, Trivy and SonarQube gates.
Deployed CloudCart, a 10-microservice platform on kOps/AWS with full observability.

Actively looking

Open to first opportunity

DevOps · Cloud · AIOps roles

Fresher with a strong, fully self-built project portfolio documented on GitHub.
Ready to contribute from day one on CI/CD, Kubernetes, Terraform and AIOps work.

2021 – 2023

Master of Computer Applications (MCA)

Technocrates Institute of Technology Excellence, Bhopal — RGPV

Completed

Bachelor of Science (BSc)

Barkatullah University, Bhopal

Certification

DevOps with Multi-Cloud

NareshIT — Jenkins, Docker, Kubernetes, Terraform, AWS, GCP, Azure, DevSecOps

✓ DevSecOps — security at every stage, not bolted on afterward
✓ AIOps — AI-driven incident management & auto-remediation
✓ IaC-first — Terraform modules, drift detection, cost tracking
✓ GitOps — ArgoCD for declarative, auditable deployments
✓ Full observability — Prometheus, Grafana, Loki, Alertmanager