Sr. Cloud Engineer

Job Description: Sr. Cloud Engineer Position: Sr. Cloud Engineer Location: Remote Position Type: Full-Time Overview We are seeking a highly hands-on Senior Cloud Engineer to lead the design, implementation, automation, security, and operational management of enterprise cloud environments across AWS and Azure. This role requires deep technical expertise in cloud infrastructure, DevOps, Kubernetes, networking, security, automation, and GenAI platforms. The ideal candidate will actively build and support cloud solutions rather than function solely as an architect. Key Responsibilities Design, deploy, and manage secure, scalable cloud infrastructure across AWS and Azure.Develop and maintain Infrastructure as Code (IaC) using Terraform, CloudFormation, ARM Templates, and Bicep.Build automation solutions using Python, AWS Boto3, and Azure SDK.Implement and manage Kubernetes environments on Amazon EKS and Azure AKS.Configure cloud networking including VPCs, VNets, subnets, routing, peering, NAT gateways, and network segmentation.Design and implement cloud security controls, IAM policies, encryption, secrets management, logging, and compliance frameworks.Build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, and AWS-native tools.Support hybrid cloud integrations through VPNs and secure connectivity between cloud and on-premise environments.Implement and support API platforms, serverless applications, and edge services.Deploy and manage GenAI, RAG, agentic AI, and multi-agent infrastructure solutions.Monitor, optimize, and troubleshoot cloud environments for performance, cost, and reliability.Collaborate with engineering, security, and product teams in Agile environments.Required Technical Skills Cloud Platforms Microsoft AzureAmazon Web Services (AWS)Infrastructure as Code & Automation TerraformAWS CloudFormation / AWS CDKARM Templates / BicepPython AutomationAWS Boto3Azure SDK for PythonContainerization & Orchestration KubernetesAmazon EKSAzure AKSIngress ControllersCluster ScalingKubernetes Networking & SecurityNetworking AWS VPC DesignAzure Virtual Networks (VNet)Route TablesSubnetsNAT GatewaysPeering & Transit GatewaySecure Multi-Tier Network ArchitectureIdentity & Access Management AWS IAMAmazon CognitoAzure AD / Microsoft Entra IDFederated AuthenticationService-to-Service AuthenticationAPI & Edge Services AWS API GatewayAWS LambdaAmazon CloudFrontREST APIsWAF IntegrationAPI Security & ThrottlingSecurity & Compliance Security Groups & PoliciesEncryption at Rest & In TransitSecrets ManagementAudit LoggingSOC 2 / HIPAA Compliance ControlsHybrid Cloud Connectivity AWS Site-to-Site VPNAWS VPN GatewayAWS Client VPNAzure VPN GatewayHybrid Identity FederationAzure Technologies Azure App ServicesAzure API ManagementAzure OpenAIAzure AI SearchCognitive ServicesAzure SQL DatabaseAWS Technologies Amazon BedrockAWS LambdaAPI GatewayECS / EKSAmazon S3Amazon TextractAmazon ComprehendDevOps & CI/CD Azure DevOpsGitHub ActionsAWS CI/CD ToolingInfrastructure AutomationMulti-Cloud Deployment StrategiesGenAI & Agentic AI Experience Generative AI Solution ArchitectureLLM Infrastructure & DeploymentAzure OpenAI & Amazon BedrockRAG (Retrieval-Augmented Generation)Agentic AI FrameworksMulti-Agent SystemsAI Orchestration LayersMonitoring & Scaling AI SolutionsSecurity & Cost Controls for AI PlatformsPreferred Qualifications Experience with Vector DatabasesData Pipeline DevelopmentAgentic RAG ImplementationsCloud Architecture for AI WorkloadsExperience in Regulated and Mission-Critical EnvironmentsStrong understanding of Cloud Cost Optimization and ObservabilityJava experience preferredIdeal Candidate 10+ years of overall IT experience.5+ years of hands-on experience in AWS and Azure cloud engineering.Strong expertise in Terraform, Kubernetes, Python, DevOps, and Cloud Security.Experience implementing GenAI solutions using Azure OpenAI and/or Amazon Bedrock.Excellent communication and stakeholder management skills.Comfortable working in fast-paced Agile environments.