Work Experience

Deloitte

Site Reliability Engineer

Feb 2022 – Jan 2024

  • Managed and maintained cloud infrastructure for various clients with Terraform
  • Mitigated database issues by restoring from backups and creating multi-AZ RDS instances for product services
  • Developed CI/CD pipelines in Jenkins to automate deployment processes
  • Enhanced AWS Lambda functions with DataDog integration to monitor usage and failure rates
  • Implemented Istio service mesh to monitor and secure microservices
  • Extracted and analyzed metrics from service mesh via Prometheus, including active connections and custom metrics
  • Created Terraform-based alerts in DataDog to monitor SLAs
  • Automated database backup and restore processes with custom scripts
  • Designed a new database for BI analytics to prevent impact on production environments
  • Anonymized data to ensure privacy and compliance, removing protected fields
Blue Apron

Site Reliability Engineer

Jan 2021 – Jan 2022

  • Managed Juniper network infrastructure using a custom Golang service for port configuration
  • Deployed EKS clusters to AWS with terraform
  • Setup Istio and Prometheus
  • Setup flagger and istio for canay deployments
  • Set up on-premise Kubernetes clusters to reduce development costs
  • Created CI/CD pipelines for deployment to on-premise Kubernetes clusters
  • Developed a Golang service for managing Juniper network devices
  • Improved the development environment by migrating to cloud and integrating Skaffold
  • Participated in on-call rotations and contributed to disaster recovery planning
  • Created and tested a chaos engineering plan to assess system resilience
  • Setup Monitoring and Alerts with prometheus and grafana
  • Participated in on-call rotations and contributed to disaster recovery planning
Active International

DevOps Engineer

May 2020 – Jan 2021

  • Managed Kubernetes environments and infrastructure provisioning
  • Generated cost management and forecasting reports
  • Optimized MongoDB queries with parallelization and custom indexing, improving data fetching speed by 10x
  • Migrated on-premise SFTP servers to Azure, with files stored in blob storage
  • Established CI/CD pipelines for Python-based web applications
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