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shubham@devops:~
$ whoami

Shubham Sharma

Manager - Cloud Engineering

Cloud Engineering • Devops • SRE • Automation

$ cat experience.txt

5.5+ years designing and automating cloud deployments across AWS, GCP, and Azure. Specializing in Kubernetes orchestration, CI/CD pipelines, and infrastructure automation.

$ ./explore_portfolio.sh |
Scroll to explore

$ cat career_timeline.md

Manager - Cloud Engineering

Sprinklr • Gurugram/Hybrid

09/2023 - Present

  • Led k8s team, managing 100+ Kubernetes clusters across AWS, GCP, and Azure
  • Automated Kubernetes upgrade process with custom automations
  • Achieved 90% faster query times while ingesting 50M+ time series
  • Custom VPA controller to scale Kubernetes deployment resources
  • Reduced run rate by 20% through cost optimization initiatives

DevOps Engineer (SDE-2)

SAVii • Remote

03/2022 - 09/2023

  • Achieved cost reduction of over 40% while serving 2 million daily requests
  • Cut deployment job creation time from 2-3 hours to 15-20 minutes
  • Implemented API gateway leading to 50-60% decrease in average latency
  • Reduced error rates by 80% through proactive monitoring and alerts
  • Integrated security practices into CI/CD pipelines for ISO/IEC 27001 compliance

Associate IT - DevOps

Unthinkable Solutions • Gurugram

01/2020 - 03/2022

  • Designed cloud-based (AWS/GCP) and on-prem solutions for multiple organizations
  • Performed migration of monolithic application to AWS Cloud with Microservice architecture
  • Implemented Kubernetes-based workflow pipelines for 50+ ETL processes
  • Slashed benchmarking time from 6 hours to under 30 minutes using Airflow

$ ls -la ./projects/

Multi-Cloud Kubernetes Management

Production

Led management of 100+ Kubernetes clusters across AWS, GCP, and Azure with automated upgrade processes and custom VPA controllers

100+ Clusters
90% Faster Queries
3 Cloud Providers
Kubernetes AWS EKS GCP GKE Azure AKS Terraform

GitOps Automation Framework

Active

Developed streamlined job provisioning automation following GitOps practices, dramatically reducing deployment times

20min Deploy Time
90% Time Saved
0 Manual Errors
GitOps Terraform Ansible Jenkins ArgoCD

Secure CI/CD Pipeline

Compliant

Integrated comprehensive security and auditing practices into CI/CD pipelines for regulatory compliance

80% Error Reduction
ISO27001 Compliance
100% Security Scan
Jenkins GitHub Actions SonarQube Trivy Zap

Cost Optimization & Performance

Optimized

Implemented comprehensive monitoring and cost optimization strategies across multi-cloud environments

40% Cost Saved
2M+ Daily Requests
60% Latency Reduced
Prometheus Grafana Datadog Kong Spot Instances

$ grep -r "skills" ./tech_stack.json

Cloud Platforms

AWS
Azure
GCP

Container Orchestration

Kubernetes
Docker
EKS
GKE
AKS

CI/CD & Automation

Jenkins
GitHub Actions
ArgoCD
GitOps

Infrastructure as Code

Terraform
Pulumi
Ansible

Monitoring & Observability

Prometheus
Grafana
Datadog
New Relic
ELK Stack

Security & Compliance

SonarQube
Trivy
Zap
PCI DSS
ISO 27001

$ cat ./metrics.log | grep "achievement"

40%
Cost reduction achieved at SAVii without compromising performance
2M+
Daily requests successfully managed and served
90%
Faster query times while ingesting 50M+ time series
100+
Kubernetes clusters managed across multiple cloud providers
20min
Deployment time reduced from 2-3 hours through automation
80%
Error rate reduction through proactive monitoring

$ ./contact.sh --connect

Let's Connect

Ready to discuss DevOps challenges, cloud architecture, or potential collaborations? I'm always open to connecting with fellow engineers and exploring new opportunities.

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