name: Amit Sharma
role: Cloud & DevOps Engineer
location: Lucknow, India 🇮🇳
experience: 2+ years
focus_areas:
- Multi-cloud infrastructure (AWS + GCP)
- CI/CD pipeline automation (Jenkins, GitHub Actions, ArgoCD)
- Container orchestration (Docker, Kubernetes, GKE, EKS)
- Infrastructure as Code (Terraform, Ansible)
- Observability & SRE (Prometheus, Grafana, Loki)
currently:
- 🏢 DevOps Engineer @ Delta 360 Services Pvt. Ltd
- 🌱 Exploring: Kubernetes advanced scaling, SRE best practices, AI in DevOps
- 🤝 Open to: Collaborations, open source contributions, DevOps communities| 🚀 CI/CD Efficiency | 💰 Cost Optimization | 🔐 Security & Compliance |
|---|---|---|
| 70% reduction in deployment time | 50% cut in provisioning time | 40% fewer vulnerabilities |
| 99.9%+ service availability | 40% decrease in MTTR | 30% drop in production defects |
| 60% less manual deployment effort | Terraform IaC + custom AMI strategies | SonarQube quality gates enforced |
🏢 DevOps Engineer — Delta 360 Services Pvt. Ltd | Feb 2024 – Present | Noida
Digital solutions and cloud services company · Multi-cloud environment (GCP + AWS)
- 🔁 Built and maintained Jenkins multibranch pipelines with pipeline-as-code, reducing manual deployment effort by 60% and boosting deployment frequency
- 🐳 Containerized microservices with Docker and orchestrated deployments on GKE and EKS across 10+ services
- 🏗️ Provisioned cloud infrastructure on GCP and AWS using Terraform (VPC, subnets, IGW, custom AMIs), cutting provisioning time by 50% and MTTR by 40%
- 📉 Integrated SonarQube quality gates into CI pipelines, reducing code smells and vulnerabilities by 40%
- 📊 Configured Prometheus + Grafana dashboards for real-time observability across 15+ EC2 and GCP Compute instances
- 🔐 Enforced least-privilege IAM policies across GCP and AWS (S3, RDS, ECR, GCR), hardening security posture organization-wide
- ⚡ Maintained 99.9% service availability through auto-scaling groups and load balancers across cloud environments
- 🚀 Deployed Kubernetes resources including Ingress, HPA, and Services; managed Docker images on ECR and GCR
End-to-end DevOps implementation for an e-commerce platform across GCP (Dev/QA/Staging) and AWS (Production)
| Area | Details |
|---|---|
| CI/CD | Jenkins multibranch pipelines with pipeline-as-code · 40% increase in deployment frequency |
| GCP Infra | Terraform-provisioned Compute Engine, VPC, GCS, Load Balancers, Auto Scaling for Dev/QA/Staging |
| AWS Infra | Terraform-provisioned EC2, VPC, EBS, S3, ELB, Auto Scaling for Production |
| Containers | Dockerized app · GKE (lower envs) + EKS (production) with Ingress + load balancers |
| Artifacts | SonarQube quality gates · Build artifacts published to GCR (GCP) and ECR (AWS) |
| Security | Least-privilege IAM across GCP + AWS · Ansible config management · Prometheus & Grafana observability |
|
B.Tech in Computer Science Engineering School of Management Sciences, Lucknow 📅 2019 – 2023 | CGPA: 7.8 / 10 |
Introduction to Linux (LFS101)
The Linux Foundation
📅 Issued: February 2026 · ID: |
