Amit Nagar

Platform and DevOps Engineer with 3+ years of experience designing, automating, and operating production-grade multi-cloud infrastructure (AWS & GCP) across product, enterprise, and AI/ML R&D environments. Specialized in Kubernetes (EKS/GKE/ECS), GitOps delivery with ArgoCD, infrastructure as code with Terraform, and end-to-end observability. Known for taking ownership of platform reliability and cost efficiency at scale, partnering closely with product engineering teams to ship faster without sacrificing uptime.

Delivered a 25% reduction in infrastructure spend, 50% faster release cycles, 30% lower MTTR, 40% fewer production incidents, and consistent 99.9% uptime across every role held.

Senior Platform Engineer at Quantiphi (PhiLabs R&D) (2026-07 – Present)

Product / R&D

• Own GCP infrastructure supporting AI/ML research and product workloads within the PhiLabs R&D unit, working across research and platform engineering teams.
• Build and maintain CI/CD pipelines that automate build, test, and deployment workflows, cutting manual release effort for research teams.
• Deploy and operate containerized services on Google Kubernetes Engine (GKE) and Cloud Run, enabling scalable, on-demand compute for research workloads.
• Configure Cloud Load Balancing for traffic routing and high availability across GCP-hosted services.
• Drive multi-cloud platform strategy, applying EKS/AWS GitOps expertise to modernize a GCP-native environment.
• Provision GCP infrastructure using Terraform, extending IaC discipline from AWS into a GCP-native workflow.
• Write Python and Bash automation for research/platform tooling, cutting manual toil for R&D teams.
• Set up monitoring and alerting for GKE/Cloud Run workloads to catch issues before they hit research pipelines.

SDE-1 / DevOps Engineer at eka.care (Healthcare Product Company) (2025-03 – 2026-06)

• Owned a production-grade Amazon EKS platform using ArgoCD GitOps, enabling zero-downtime deployments across development, staging, and production with GitHub Actions CI/CD and Ingress-based traffic routing.
• Implemented Karpenter autoscaling, cutting infrastructure cost by 25% while holding SLA targets.
• Built observability with Grafana, Loki, and New Relic, improving mean-time-to-resolution (MTTR) by 30%.
• Deployed and operated Kafka clusters via the Strimzi operator on Kubernetes alongside ClickHouse, Redis, and OpenSearch to support real-time platform workloads.
• Administered MySQL, MongoDB, and DynamoDB across production services, handling backups, scaling, and performance tuning.
• Configured AWS API Gateway and Envoy Gateway for routing, rate limiting, and canary deployments, supporting infrastructure spanning both AWS and GCP.
• Standardized deployments using Helm, improved Kubernetes cost visibility with Kubecost, and deployed AI/LLM models on EKS and SageMaker using vLLM.
• Provisioned and maintained AWS infrastructure with Terraform, keeping environments reproducible across dev, staging, and production.
• Wrote Python/Bash tooling to automate routine ops tasks and reduce on-call toil.
• Collaborated cross-functionally with product and data teams to align platform changes with release timelines.

DevOps Engineer at Edvanta Technology (2023-04 – 2025-03)

• Designed modular AWS infrastructure using Terraform and built Jenkins/GitHub Actions CI/CD pipelines, reducing release time by 50%.
• Dockerized applications on ECS with autoscaling and integrated SonarQube security gates into the pipeline.
• Implemented disaster recovery using RDS snapshots, S3 versioning, and Multi-AZ deployments.
• Partnered with developers on deployment and rollback strategies, reducing production incidents by 40%.

System Administrator at NTT DATA (2021-06 – 2023-03)

• Managed 200+ Linux servers using Ansible, automating operations with Bash and Python to maintain 99.9% uptime.
• Performed root cause analysis (RCA), monitoring, and network troubleshooting for production infrastructure.