Remus Kalathil

About Remus Kalathil

Hands-on Cloud & Platform Engineer and AWS Community Builder – Containers with 9+ years of experience designing, building, and operating large-scale AWS environments. I thrive on translating complex requirements into secure, scalable, and cost-efficient architectures and my superpower is being a relentless learner in this ever-evolving cloud landscape, rapidly mastering new services and turning that knowledge into automated, production-ready solutions.Key HighlightsBuilt and operated an enterprise-grade Kubernetes platform across 430+ Amazon EKS clusters supporting microservices, led the GitOps transformation (Kubernetes Federation to ArgoCD) that reduced deployment failures by 25% and cut node startup time by 70%(5 min to 90 sec) via Karpenter.Led zero-downtime migration of 150+ on-premises servers to AWS using ADS & MGN, achieving RTO ≤ 5 minutes and RPO ≤ 1 minute for mission-critical workloads.Reduced MTTR by 50% by instrumenting Datadog for unified logging, metrics, and APM, integrating automated remediation Lambdas triggered by Datadog alerts.Designed and implemented microservices using serverless architecture (API Gateway, Lambda, and DynamoDB) and refactored legacy EC2 workloads to serverless, saving 30% in compute costs year over year.Modernized Splunk observability stack with serverless ingestion and SmartStore, offloading cold data to S3 for 70% cost savings.Designed resilient cross-region Disaster Recovery architectures (pilot light, warm standby, active-active) against defined RTO ≤ 5 minutes and RPO ≤ 1 minute, ensuring continuous availability for mission-critical customer workflows.Actively developing generative AI solutions and proofs of concept including RAG pipelines, intelligent agents, vector databases, and model control frameworks, leveraging Amazon Bedrock to accelerate business innovation.Automated infrastructure provisioning with Terraform and CI/CD pipelines (ArgoCD, GitHub Actions, Spinnaker) for consistent, repeatable, and auditable deployments including blue-green and canary strategies.Hardened security posture by enforcing IAM/IRSA, RBAC, KMS, WAF, Cognito, and ACM best practices, supported SOC 2 and PCI/SOX audits with automated evidence collection.

Experience

1. Technical Solutions Architect

   Expedia Group

   Mar 2024 — Present · San Francisco, CA, US

   Leading enterprise cloud and platform architecture for Expedia\'s Runtime Compute Platform — designing, operating, and scaling AWS infrastructure that supports AI/ML workloads, distributed systems, and microservices across 430+ Kubernetes clusters.Operated multi-cluster Kubernetes platform across 430+ EKS clusters supporting microservices across multiple AWS accounts and enabling rapid team onboarding and self-service workload deployment.Led enterprise GitOps transformation from Kubernetes Federation to ArgoCD, reducing deployment failures by 25% across the entire fleet and improving rollout velocity.Architected Karpenter-based dynamic node provisioning, reducing node startup time by 70%(5 min → 90 sec) and cutting over-provisioning by 40%.Drove ~20% cloud cost reduction through capacity planning, pod right-sizing (Cost Explorer & Cost Optimizer), and Graviton2 migration — saving 25% on compute billing.Reduced MTTR by 50% by instrumenting Datadog for unified logging, metrics, and APM, and integrating automated remediation Lambdas triggered by Datadog alerts.Led zero-downtime migration of 150+ on-premises servers to AWS using ADS & MGN, achieving RTO ≤ 5 min and RPO ≤ 1 min.Built and operated GPU-enabled Kubernetes environments for AI/ML and GenAI inference workloads and hands-on with GPU scheduling and distributed compute optimization.Enforced least-privilege security with IAM/IRSA, Kyverno policies, and VPC segmentation; supported SOC 2 and PCI/SOX audits with automated evidence collection.Designed cross-region DR architectures (pilot light, warm standby, active-active) to protect mission-critical workloads.Delivered 10+ internal workshops, hackathons, and immersion days; mentored 5 junior engineers on AWS migration using ADS, MGN, and DMS tools.

Education

• MGM's College of Engineering & Technology

  Bachelor of Engineering (B.E.), Electronics and Tele-communication

• California State University, Fullerton

  Master of Science - MS, Computer Systems Networking and Telecommunications

• Texas McCombs School of Business

  PG Diploma, Artificial Intelligence, Machine Learning