DevOps Engineer | AWS| GCP | Kubernetes | Cloud Automation | SRE Practitioner
Passionate about building scalable, automated, and reliable cloud platforms using GCP, Kubernetes, Docker, Terraform, and CI/CD pipelines.
I am a DevOps Engineer with 4.7 years of experience, including 2.5 years of hands-on expertise in GCP, Kubernetes, and Docker, and prior experience with AWS, Terraform, Grafana, and Prometheus.
I specialize in designing automated cloud infrastructure, deploying containerized workloads, implementing CI/CD pipelines, and building self-healing systems using Python-based automation.
I love working on:
- Cloud Infrastructure (GCP + AWS)
- Kubernetes & Container Orchestration
- Infrastructure as Code (Terraform)
- DevOps Automation & SRE Practices
- Monitoring & Observability
- CI/CD & GitOps
- Kubernetes (GKE/EKS): Deployments, Services, Ingress, HPA, RBAC, Autoscaling
- Docker: Multi-stage builds, registries, image optimization
- GCP: IAM, VPC, GKE, Cloud Build, Cloud Functions, Pub/Sub, Cloud Monitoring
- Terraform: IaC modules (GCP + AWS), provisioning, state management
- CI/CD: GitLab CI/CD, Jenkins, GitHub Actions
- Python automation (self-healing systems, API workflows)
- Monitoring: Prometheus, Grafana, Cloud Logging/Monitoring
- Linux, Bash, troubleshooting & incident reduction
- AWS: EC2, Lambda, CloudWatch, IAM, S3
Automated container deployment pipelines for microservices running on GKE using GitLab CI/CD, Terraform, and Helm.
Python-based auto-remediation engine integrating Cloud Functions, Cloud Monitoring alerts, and Terraform resources.
Reusable Terraform modules for GCP (VPC, GKE, IAM, Cloud SQL, Load Balancers).
Implemented observability dashboards and alerting pipelines for production workloads.
- LinkedIn: https://linkedin.com/in/rushikeshjadhav174
- GitHub: https://github.com/rushikeshj
- Email: rushikeshjadhav174@gmail.com
⭐️ Always learning | Always automating | Always improving ⭐️