Top Remote Cloud Engineer Jobs

Develop and debug cloud-native solutions for AI/ML datacenters, focusing on Kubernetes and Slurm enhancements and customer workflows.

Designs, implements, and maintains cloud and on‑prem network infrastructure with IaC (Terraform/CloudFormation/Ansible), supports AWS environments, builds CI/CD pipelines, authors technical documentation, troubleshoots escalations, and collaborates with Cloud Architects and product teams in a remote Agile environment.

Design, develop, and maintain cloud-compliant SAP applications using ABAP Cloud and RAP. Build OData/APIs, CDS views, Fiori integrations, and clean-core S/4HANA extensions. Collaborate with functional teams, perform code reviews, optimize performance, and support testing, deployment, and production support.

Lead architecture and deliver scalable, secure Azure solutions across the enterprise. Design IaC modules (Terraform), landing zones, CI/CD pipelines (Azure DevOps/GitHub Actions), governance (Policy as Code, RBAC), observability (Azure Monitor, Log Analytics, Application Insights), cost/performance optimization, container infrastructure, and incident response. Mentor engineers, run design/code reviews, and collaborate with stakeholders to translate business needs into production-ready cloud platforms.

Leads enterprise cloud and infrastructure initiatives across AWS and GCP, driving DevOps adoption, Infrastructure as Code, automation, security, scalability, observability, and cloud migrations. Designs and implements platforms, deployment processes, monitoring solutions, and high-availability architectures; mentors cross-functional teams; removes infrastructure impediments; conducts technology reviews and audits; and supports mission-critical Linux-based systems, middleware, databases, and containerized workloads.

Serves as a cloud and DevOps subject matter expert for enterprise infrastructure projects. Designs, implements, and promotes AWS and GCP cloud solutions, infrastructure as code, CI/CD, automation, security, scalability, monitoring, and operational practices. Guides cross-functional teams on Agile infrastructure principles, removes technical impediments, supports cloud migrations, conducts technology reviews, and improves DevOps adoption. The role also includes Linux administration, middleware troubleshooting, performance testing, and production support.

Designs, implements, and supports secure, scalable AWS and Azure infrastructure. Develops reusable Terraform and Ansible automation, CI/CD capabilities, and cloud infrastructure services. Configures cloud compute, storage, networking, databases, identity, security, monitoring, and backup solutions. Troubleshoots infrastructure and hosting issues, maintains technical and compliance documentation, and collaborates with customers and engineering teams using Agile and DevOps practices.

Lead cloud, DevOps, and SRE architecture efforts to scale CareSource's digital platform. Partner with Cloud, DevOps, Security, and SRE teams to design infrastructure, build Terraform templates, enhance CI/CD pipelines, implement monitoring/alerting, and improve reliability, scalability, and incident response for enterprise-scale digital products.

Design, secure, and scale GCP cloud infrastructure supporting event-driven services, AI models, and automated releases. Maintain infrastructure as code and CI/CD automation, manage access controls and encryption, remediate penetration-test and vulnerability findings, and own monitoring, dashboards, on-call response, incident management, and performance improvements.

Designs, operates, administers, and optimizes large-scale Microsoft Azure IaaS and PaaS environments. The role focuses on enterprise Hub-and-Spoke networking, including VNets, subnets, private endpoints, and ExpressRoute, along with monitoring, alerting, troubleshooting, and root-cause analysis. The engineer partners with developers, testers, and program managers to improve cloud services and may manage server images, configuration state, security controls, Azure DevOps, and ServiceNow workflows.

Design, build, test, deploy, and support scalable software systems for NVIDIA cloud infrastructure. Develop network and systems automation for multi-tenant environments, manage APIs and distributed services, respond to operational events, contribute to open-source projects, and present technical roadmaps and demos to stakeholders and leadership.

Drive technical sales for Microsoft’s cloud and AI data platform through demos, proofs of concept, hackathons, and architecture workshops. Advise enterprise customers on secure, scalable database and analytics architectures, migrations, and deployments. Build relationships with platform leaders, resolve technical blockers, collaborate with engineering, and promote Azure data technologies including Fabric, Databricks, Purview, and Azure databases.

Design, implement, and manage secure, highly available RHEL servers and Azure-based cloud solutions. Automate deployments with scripting, support Docker/Kubernetes pipelines, document systems, and adapt to new Azure resources to enhance capabilities for developer groups and military customers.

Senior technical leader designing, governing, and optimizing Azure cloud infrastructure. Owns architecture, IaC (Terraform/Bicep), CI/CD, cloud migrations, hybrid connectivity, identity/security, observability, incident response, compliance (HITRUST/SOC2/HIPAA), mentoring teams, and supporting critical production events.

Provide Tier 2 escalation support for Tier 1 technicians by administering Azure and Microsoft 365 environments. Manage Azure infrastructure and M365 services, troubleshoot identity/MFA/Conditional Access, handle RBAC and security configurations, assist with PowerShell automation, document solutions, and collaborate with Tier 3 engineers.

The Azure Cloud Engineer II manages, monitors, and optimizes Azure and Microsoft 365 environments, providing operational support and driving improvements while ensuring compliance and security best practices.

Develop and maintain cloud infrastructure and automation at scale using Terraform, Helm, and Kubernetes. Build AI-driven troubleshooting, cost-optimization, and LLM-based onboarding agents. Implement observability (Prometheus, Grafana, OpenTelemetry), automate deployments (GitOps), diagnose production issues, and mentor engineers on cloud best practices and AI-augmented workflows.

Provision, administer, and optimize OCI environments (compute, networking, storage, IAM). Monitor performance, support migrations, implement security controls, runpatching/backups, maintain IaC (Terraform), document SOPs, and support ATO and continuous monitoring within a DoD/Cloud One environment.

Design, implement, and maintain cloud and on-premises infrastructure using Infrastructure as Code. Administer and secure Kubernetes clusters, develop Helm charts, automate provisioning and monitoring, troubleshoot deployments, and collaborate across teams. The role supports a DoD modeling and simulation platform and emphasizes scalable, resilient, secure environments aligned with Zero Trust principles.

Drive technical pre-sales for Cloud and AI application solutions: run demos, PoCs, hackathons, and architecture workshops; co-design secure, scalable cloud-native architectures; resolve technical blockers; maintain expertise in AI Foundry, Azure AI, Responsible AI, and AI management/security to accelerate customer adoption and production deployments.

Migrate SQL Server data products and analytical workloads to a modern cloud platform. Redesign legacy SQL, ETL processes, and business logic; build scalable pipelines and analytical models; validate data quality; collaborate with stakeholders; and improve platform reliability, performance, cost efficiency, and AI-assisted data engineering automation.

Leads cloud financial management and optimization across AWS, Azure, and GCP clients. Analyzes spending, allocation, commitments, unit economics, forecasts, and savings opportunities; builds reporting and automation with SQL and scripting; and governs tagging and billing data. Advises technical, financial, procurement, and executive stakeholders, presents recommendations, executes remediation, mentors engineers, supports pre-sales, and improves FinOps standards and delivery practices. The remote U.S. role includes up to 10% domestic travel and occasional after-hours support.

Architects, implements, and operates secure, scalable Microsoft Azure solutions supporting generative AI and scientific research. Develops Terraform infrastructure, automation, and CI/CD pipelines; integrates compute, storage, networking, identity, security, monitoring, APIs, and AI services. Troubleshoots performance, reliability, security, and cost issues across application and infrastructure layers. Partners with developers, AI engineers, security teams, and customers to translate requirements into architecture, mentors engineers, evaluates tradeoffs, and supports compliance and authorization activities.

Provides technical presales support for VoIP and unified communications opportunities. Partners with Account Executives on solution architecture, demonstrations, technical scoping, competitive positioning, migration planning, number porting, network readiness, hardware provisioning, routing, and telecom compliance. Guides prospects through cloud communications migrations, translates technical concepts into business value, supports deal strategy and revenue goals, and collaborates with Product, Engineering, and Customer Success to communicate market needs and influence the roadmap.

Architect, scale, and secure AWS infrastructure using IaC and automation. Build self-service templates, maintain FedRAMP-ready configurations, support incident response, optimize performance with Datadog, and mentor junior engineers.