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Senior Cloud/DevOps Engineer and Multi-Cloud Architect with over 10 years of experience in the development, automation and operation of enterprise-scale platforms in hybrid cloud environments (AWS, Azure, OpenStack). Extensive hands-on experience with infrastructure automation, cloud-native platform engineering, Terraform, Ansible, CI/CD, GitOps and Kubernetes, as well as OpenShift, EKS and AKS. Experienced in modernizing distributed and data-intensive systems, building strong deployment workflows, improving platform reliability and maintaining large-scale Hadoop, HBase and Kubernetes environments. Recent experience includes secure deployment of AI services on cloud and Kubernetes platforms, generative AI platform integrations, LLM-powered applications, RAG architectures, MCP-based tooling, and agentic AI workflows. Strong engineering execution experience with solution architectural knowledge in areas like enterprise automation, security, observability, application modernization and multi-cloud infrastructure.…Senior Cloud/DevOps Engineer and Multi-Cloud Architect with over 10 years of experience in the development, automation and operation of enterprise-scale platforms in hybrid cloud environments (AWS, Azure, OpenStack). Extensive hands-on experience with infrastructure automation, cloud-native platform engineering, Terraform, Ansible, CI/CD, GitOps and Kubernetes, as well as OpenShift, EKS and AKS. Experienced in modernizing distributed and data-intensive systems, building strong deployment workflows, improving platform reliability and maintaining large-scale Hadoop, HBase and Kubernetes environments. Recent experience includes secure deployment of AI services on cloud and Kubernetes platforms, generative AI platform integrations, LLM-powered applications, RAG architectures, MCP-based tooling, and agentic AI workflows. Strong engineering execution experience with solution architectural knowledge in areas like enterprise automation, security, observability, application modernization and multi-cloud infrastructure.

LAKSHMI SAI VINEETH AMARA

DevOps Developer, Cloud Developer, AI Engineer, +2

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Senior Cloud/DevOps Engineer and Multi-Cloud Architect with over 10 years of experience in the development, automation and operation of enterprise-scale platforms in hybrid cloud environments (AWS, Azure, OpenStack). Extensive hands-on experience with infrastructure automation, cloud-native platform engineering, Terraform, Ansible, CI/CD, GitOps and Kubernetes, as well as OpenShift, EKS and AKS. Experienced in modernizing distributed and data-intensive systems, building strong deployment workflows, improving platform reliability and maintaining large-scale Hadoop, HBase and Kubernetes environments. Recent experience includes secure deployment of AI services on cloud and Kubernetes platforms, generative AI platform integrations, LLM-powered applications, RAG architectures, MCP-based tooling, and agentic AI workflows. Strong engineering execution experience with solution architectural knowledge in areas like enterprise automation, security, observability, application modernization and multi-cloud infrastructure.…Senior Cloud/DevOps Engineer and Multi-Cloud Architect with over 10 years of experience in the development, automation and operation of enterprise-scale platforms in hybrid cloud environments (AWS, Azure, OpenStack). Extensive hands-on experience with infrastructure automation, cloud-native platform engineering, Terraform, Ansible, CI/CD, GitOps and Kubernetes, as well as OpenShift, EKS and AKS. Experienced in modernizing distributed and data-intensive systems, building strong deployment workflows, improving platform reliability and maintaining large-scale Hadoop, HBase and Kubernetes environments. Recent experience includes secure deployment of AI services on cloud and Kubernetes platforms, generative AI platform integrations, LLM-powered applications, RAG architectures, MCP-based tooling, and agentic AI workflows. Strong engineering execution experience with solution architectural knowledge in areas like enterprise automation, security, observability, application modernization and multi-cloud infrastructure.

Available to hire

Senior Cloud/DevOps Engineer and Multi-Cloud Architect with over 10 years of experience in the development, automation and operation of enterprise-scale platforms in hybrid cloud environments (AWS, Azure, OpenStack). Extensive hands-on experience with infrastructure automation, cloud-native platform engineering, Terraform, Ansible, CI/CD, GitOps and Kubernetes, as well as OpenShift, EKS and AKS. Experienced in modernizing distributed and data-intensive systems, building strong deployment workflows, improving platform reliability and maintaining large-scale Hadoop, HBase and Kubernetes environments. Recent experience includes secure deployment of AI services on cloud and Kubernetes platforms, generative AI platform integrations, LLM-powered applications, RAG architectures, MCP-based tooling, and agentic AI workflows. Strong engineering execution experience with solution architectural knowledge in areas like enterprise automation, security, observability, application modernization and multi-cloud infrastructure.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Beginner

Work Experience

Cloud Native Service Automation Engineer

May 1, 2025 - Present

Developed preflight checks in Python and Bash to validate DNS, routing, ports, certificates, service endpoints, failover readiness, and cluster capacity before automation of large-scale Hadoop/HBase on hybrid AWS and OpenStack infrastructure. Enhanced Argo Workflows for multi-stage upgrades with conditional execution, dynamic host filtering, success propagation, health validation, rollback controls, and failure isolation. Built idempotent Ansible automation to provision and configure CDP and Babka Sandbox environments including HDFS, YARN, ZooKeeper, Hive, and HBase with on-demand inventories and environment-specific configuration. Implemented RAG using Amazon Bedrock Knowledge Bases and S3 with vector retrieval and deployed it as a containerized Kubernetes workload for operational support. Built Python-based MCP servers for AI clients (Claude-compatible) to provide approved cluster inventory, Argo workflow status, health-check results, and runbook retrieval with scoped credentials and

Solutions Architect / Infra Advanced TESolutions Architect at ADP (implied from resume client lines)

March 1, 2024 - April 30, 2025

Architected a hybrid-cloud solution with resilient networking, secure connectivity, HA and DR patterns. Migrated and modernized VMware workloads across AWS, Azure, and OpenStack using Hystax Acura and CloudEndure. Automated multi-cloud infrastructure provisioning using reusable Terraform modules and Ansible (Azure VNets, subnets, route tables, NSGs, private DNS) for consistency across cloud/hybrid environments. Delivered GenAI solutions using Azure OpenAI and Amazon Bedrock with Claude models, integrating private network routes and access through IAM/Entra ID and Vault. Implemented managed RAG patterns with separate ingestion, embedding, vector retrieval, and generation stages using S3, Bedrock Knowledge Bases, and OpenSearch Serverless. Built agentic AI workflows with Bedrock Agents and enterprise REST APIs using limited action groups and explicit approval controls for privileged and sensitive infrastructure changes. Established CI/CD and GitOps patterns (Jenkins, GitHub Actions, Argo

Azure DevOps Engineer (Multi-Cloud Architect L1) / Lead

March 1, 2022 - April 30, 2024

Developed and implemented Kubernetes container systems on AKS, EKS, and OpenShift, standardizing application delivery for hybrid and multi-cloud platforms with HA environments. Automated AKS and supporting Azure infrastructure using Terraform, Azure Bicep, and ARM templates with stages for design validation and review/deployment via Azure DevOps pipelines. Built enterprise container CI/CD pipelines (Azure DevOps YAML, Jenkins, GitHub Actions) including build/test/security validation, artifact packaging, manifest checks, and staged deployments. Designed and troubleshot Kubernetes networking on Azure VNETs (DNS, routes, NSGs, services, ingress) to ensure application reachability and backend routing. Deployed workloads using GitOps with Argo CD, Helm 3, Kustomize, and RBAC controls using reusable deployment definitions and environment overlays. Built controlled access to LLM capabilities using Azure OpenAI Service with managed identities, Azure RBAC, corporate SSO, and approval barriers f

Sr. AWS- Cloud DevOps Engineer / Lead (Multi-Cloud) at igebra.ai (from resume client line)

September 1, 2021 - August 31, 2022

Operated large-scale AWS environments supporting 1000+ instances using CloudFormation and CDK, implementing VPCs, subnets, NAT gateways, security groups, storage, HA, and autoscaling. Built CI/CD and GitOps delivery pipelines with Jenkins, CodePipeline, Groovy, Helm, Kubernetes manifests, and version control repositories to enable automated build/test/deploy and configuration management across multi-cloud environments. Implemented IaC with Terraform and Ansible for common provisioning across AWS/Azure/GCP to reduce manual work and enable portable multi-cloud architectures. Managed Kubernetes-based migrations from Pivotal Cloud Foundry (PCF) to scalable microservices platforms, building and deploying containerized applications via Docker and Kubernetes/OpenShift. Developed cloud-based ML pipelines using SageMaker, Azure ML, and Databricks for training and real-time inference, and improved observability using Prometheus/Grafana/EFK/New Relic/Catchpoint.

AWS- Cloud DevOps Engineer (Multi-Cloud) at ConnectiveRx (from resume client line)

January 1, 2019 - August 31, 2021

Designed and automated multi-cloud infrastructure on AWS, Azure, and GCP using Terraform and CloudFormation for consistent provisioning, scalable architectures, and repeatable deployments. Developed CI/CD and container delivery pipelines using Jenkins, GitHub Actions, CodePipeline, Docker, Kubernetes (EKS/AKS) to support build/test/deploy/rollback and portable delivery. Developed observability and migration solutions using Datadog, Prometheus, Grafana, ELK, AppDynamics, and AWS DMS to enhance operational visibility and support database/cloud migrations with minimal disruption and data integrity.

DevOps Engineer at Technical Software Solutions Pvt Ltd., India

March 1, 2018 - December 31, 2018

Implemented cloud strategy for Ohio Department of Job & Family Services. Developed and maintained CI/CD pipelines using Jenkins and Bamboo to automate microservice build/test/deployment in Docker and Kubernetes and cloud environments. Automated infrastructure provisioning and configuration using AWS CloudFormation, Puppet, Bash, and PowerShell to support standardized deployments and environment consistency. Improved operational visibility and supported VM right-sizing, reserved instance planning, and resource management using CloudWatch and Azure Monitor.

Linux System Administrator at Technical Software Solutions Pvt Ltd., India

August 1, 2016 - February 28, 2018

Built Nagios-based corporate monitoring on Linux and Solaris for 190+ servers and 2000+ monitoring metrics to ensure stability and uptime. Supported hybrid identity and server administration in Windows environments including Active Directory, Group Policy, and IIS with troubleshooting. Supported cloud adoption and containerization activities with Docker and Kubernetes and contributed to scalability, reliability, and backup strategies.

System Administrator at Vsoft Technologies, India

September 1, 2015 - July 31, 2016

Designed and maintained Ansible playbooks using Python and Shell scripting to automate provisioning and configuration management of AWS instances in development environments. Installed, configured, and maintained Red Hat Linux systems; automated routine tasks using cron; troubleshot system-level issues. Maintained and troubleshot network and services including LAN/WAN connectivity, Apache, DNS, FTP, and Samba for security and reliability of Linux infrastructure.