Saumya Khandelwal
Open to work1 years experienceCloud & DevOps Engineer
Cloud & DevOps Engineer with 1.5+ years of experience in GCP, Kubernetes, Terraform, and CI/CD.
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Skills & Technologies
26 skillsGitHub Activity Evidence
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Work Experience
Cloud Engineer
Searce Inc
- Provisioned and enhanced GCP Landing Zone infrastructure using Terraform across multiple environments.
- Resolved cloud infrastructure and security vulnerabilities across production environments.
- Deployed and managed applications on GKE using production deployment strategies.
- Implemented External Secrets Operator (ESO) to automate synchronization of Kubernetes secrets from GCP Secret Manager.
Cloud Engineer
Cloudside Technologies
- Deployed and managed 20+ microservices on GKE, implementing Gateway API, HTTPRoute, and Horizontal Pod Autoscaler (HPA) across multiple production environments.
- Built and maintained 20+ Cloud Build CI/CD pipelines for automated deployments to GKE.
- Executed migration of 200+ TB of workloads and storage from AWS to GCP with minimal downtime.
- Configured Workload Identity Federation (WIF) for 30+ Kubernetes Service Accounts, eliminating static credentials and enforcing least-privilege IAM access.
- Developed modular Terraform infrastructure for GCP Landing Zone, including VPC, GKE, IAM, Cloud SQL, and Cloud Build across multiple production environments.
- Provisioned private GKE infrastructure using Terraform, implemented KEDA autoscaling with GCP Pub/Sub, and configured Prometheus & Grafana monitoring.
- Implemented GitOps-based deployments using ArgoCD with automated synchronization and rollback capabilities.
Projects
GPU Workload Enablement on GKE
- Built an Infrastructure-as-Code delivery pipeline by integrating GitLab CI/CD with Terraform Cloud to automate provisioning of Google Cloud Landing Zone resources.
- Deployed and managed cloud-native applications on GKE and Cloud Run, integrating Cloud SQL, Redis, Artifact Registry and Secret Manager.
- Implemented GPU workload provisioning on GKE using Dynamic Workload Scheduler (DWS) and Provisioning Request for efficient GPU resource allocation.
Observability Driven Autoscaling on GKE
- Built an observability platform using Prometheus, Grafana, Loki, Tempo, OpenTelemetry, and Alertmanager.
- Implemented custom metrics-based Horizontal Pod Autoscaling (HPA) using Prometheus Adapter and validated autoscaling with k6 load testing.
- Implemented centralized logging, distributed tracing, monitoring dashboards, and alerting for Kubernetes microservices.
Leaderboard Standings
Leaderboard Position Pending
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Assessment Highlights
Assessments Not Completed
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AI Collaboration Score
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Role Compatibility Profile
Role Compatibility Analysis Pending
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Achievements
Certification
Google Cloud Professional Cloud Architect
Certification
Google Cloud Associate Cloud Engineer
About Details
Professional Bio
Cloud & DevOps Engineer with 1.5+ years of experience in GCP, Kubernetes, Terraform, and CI/CD. Experienced in building and automating cloud infrastructure, deploying production workloads, and implementing secure, scalable cloud solutions.
B.A. (Bachelor of Arts)
Lal Bahadur Shastri PG College (2021 - 2024)