dhruv Patil
Open to work2 years experienceDevOps Engineer
DevOps Engineer with 2 years of experience in cloud-native infrastructure, CI/CD, and Kubernetes.
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Skills & Technologies
36 skillsWork Experience
DevOps Engineer
House of Virality
- Designed and maintained CI/CD pipelines using Jenkins and GitHub Actions, streamlining build, test, security validation, and deployment workflows across development, staging, and production environments
- Provisioned and managed cloud infrastructure using reusable Terraform modules, enforcing Infrastructure as Code best practices and eliminating manual configuration drift
- Managed Kubernetes-based application deployments across environments, implementing GitOps workflows with ArgoCD to improve deployment consistency and application lifecycle management
- Implemented observability using Prometheus, Grafana, and centralized logging with proactive alerting, improving incident visibility and reducing mean time to resolution
- Integrated SonarQube and Trivy security scans into CI/CD pipelines, strengthening DevSecOps practices and enforcing code quality and vulnerability standards before release
Projects
Global Retail & E-Commerce Digital Platform
- Designed and maintained CI/CD pipelines using Jenkins and GitHub Actions for enterprise applications, automating build, testing, security validation, and deployment workflows.
- Provisioned cloud infrastructure using Terraform and implemented GitOps deployment workflows with ArgoCD, ensuring consistent and reliable application delivery across environments.
- Integrated SonarQube and Trivy into CI/CD pipelines to enforce code quality and vulnerability management throughout the software delivery lifecycle.
- Implemented observability using Prometheus, Grafana, and CloudWatch with proactive alerting and dashboarding, supporting production releases, incident response, and root cause analysis for business-critical applications.
KubePilot AI – Agentic Kubernetes Self-Healing Platform
View Project- Built an agentic Kubernetes platform using LangGraph and Groq LLM that automatically investigates Prometheus alerts, diagnoses cluster failures, and executes targeted remediation workflows
- Integrated GitOps-based remediation through ArgoCD and automated PR generation with PyGithub, enabling controlled engineer-reviewed cluster changes and structured Slack alerting
- Designed a provider-agnostic AI architecture supporting Groq, OpenAI, AWS Bedrock, and Ollama with runtime model switching; implemented remediation history tracking and configurable alert suppression to reduce operational noise
Leaderboard Standings
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Assessment Highlights
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AI Collaboration Score
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Role Compatibility Profile
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Achievements
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About Details
Professional Bio
DevOps Engineer with 2 years of experience building and automating cloud-native infrastructure for enterprise applications. Experienced in CI/CD, Kubernetes, Infrastructure as Code, observability, and DevSecOps, delivering scalable, secure, and reliable platforms.
Master of Computer Applications (MCA) in Computer Applications
International Institute of Professional Studies, DAVV Indore, MP, India (2019 - 2024)