Suryansh J.

Founding Devops Engineer @Interspectai

CA, US

Architected complete infrastructure migration from manual EC2 deployments to automated Kubernetes pipelines, reducing deployment time by 87% while eliminating application downtime* Orchestrated CI/CD workflows for 20+ Java, Python, and Node.js applications, saving 60+ monthly hours through automation using GitHub Actions and ArgoCD* Designed comprehensive AWS infrastructure using Terraform with reusable modules for EKS, Lambda, DynamoDB, RDS, S3, and CloudWatch across multi-environment deployments* Implemented comprehensive monitoring stack using Grafana, CloudWatch, and Loki with automated alerting systems and Slack integrations for proactive incident response* Transformed manual deployment processes to containerized Kubernetes environments with horizontal pod autoscaling and advanced networking configurations* Configured SSO authentication system for VPN access through OAuth2 and Entra ID integration, while implementing centralized secret management using AWS Secrets Manager* Led infrastructure modernization initiatives across multiple cross-functional engineering teams while mentoring developers on containerization and cloud architecture best practices* Created automated database migration scripts and managed complex optimizations across PostgreSQL and DynamoDB, reducing manual work from hours to minutes* Established standardized naming conventions, documentation practices, and deployment tracking systems for enterprise-scale operations* Built multi-region infrastructure enabling consistent deployments and completed complex infrastructure migrations beating assigned deadlines. Technologies: Terraform, AWS (EKS, ECS, IAM, Lambda, EventBridge, State Machines, RDS, DynamoDB, SQS, AFT, VPC Peering, EC2), Kubernetes, Docker, ArgoCD, GitHub Actions, Grafana, Loki, OpenVPN

SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering

Duke University Pratt School of Engineering

Master of Science - MS, Electrical and Computer Engineering