Remote Cloud Infrastructure Engineer Jobs
92 Cloud Infrastructure Engineer jobs available for remote work from home. Apply for positions such as Cloud Infrastructure Engineer, Cloud Infrastructure Engineer, Cloud Infrastructure Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design, deploy, and maintain secure Azure infrastructure using Terraform while managing CI/CD pipelines and cloud environments. Collaborate with development teams to ensure security, compliance, and cost-efficiency for SaaS web applications.
Design, deploy, and maintain secure, scalable, and highly available enterprise and Azure cloud infrastructure, including leading migrations from on-premises environments. Build automated infrastructure and CI/CD capabilities, troubleshoot server systems, support backup and disaster recovery, and collaborate on capacity planning and resource optimization.
The engineer will support the operation, maintenance, and automation of AWS and hybrid-cloud infrastructure for federal systems. Responsibilities include implementing infrastructure changes, troubleshooting performance and security issues, and maintaining infrastructure-as-code configurations.
The Cloud Infrastructure Engineer will design, administer, and maintain core systems including cloud, virtualization, storage, and network infrastructure. They are responsible for managing workload migrations to Azure, ensuring security compliance, and providing technical leadership for complex cloud systems.
The Cloud Infrastructure Engineer will support daily cloud operations, including VM lifecycle management, IAM administration, and CI/CD pipeline maintenance. They will also assist with networking configurations and infrastructure-as-code execution under the guidance of senior team members.
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The Cloud Infrastructure Engineer will develop and deliver cloud platforms to support both new and existing workloads. This role involves executing high-level cloud architecture implementations while collaborating effectively across various departments.
You will own and evolve multi-account cloud infrastructure, focusing on security, networking, and self-service capabilities using Infrastructure as Code. Additionally, you will partner with cross-functional teams to implement governance, observability, and automated workflows across AWS, Azure, and GCP.
Design, implement, and operate secure, scalable cloud-native platforms using Kubernetes and modern CI/CD practices. Manage the full lifecycle of containerized applications including observability, performance validation, and infrastructure automation.
Design, automate, and support secure and scalable AWS cloud infrastructure using Infrastructure as Code tools. Collaborate with interdisciplinary teams to deploy performant solutions and maintain comprehensive technical documentation.
Administer, improve, and help design the bank’s Azure, hybrid, and on-premises infrastructure, including Azure Virtual Desktop, Windows Server, VMware, storage, backup, and disaster recovery systems. Troubleshoot complex incidents, automate routine administration, strengthen security and resilience, and collaborate with technical teams and vendors on upgrades, migrations, recovery testing, documentation, and compliance.
Design, build, and maintain automated infrastructure workflows and AI-driven agents to improve operational efficiency and reliability. Monitor production service health and troubleshoot incidents while collaborating with distributed teams to optimize system performance.
Build and operate Airbnb’s cloud infrastructure platform, including developer APIs and command-line tools, Kubernetes infrastructure, autoscaling and capacity management tools, and cloud automation. Improve the reliability, security, availability, performance, and efficiency of cloud-native systems while collaborating with infrastructure engineers.
Design, operate, and troubleshoot production GCP infrastructure, including GKE clusters, cloud networking, IAM, and shared services. Develop Terraform automation, improve observability, security, reliability, scalability, and cost efficiency, and partner with Platform Engineering, SRE, and Security teams on infrastructure architecture and operations.
The Cloud Infrastructure Engineer will architect, deploy, and operate secure, scalable AWS environments while managing infrastructure as code and platform automation. They will also lead cloud initiatives, mentor engineering staff, and implement robust observability and security frameworks.
The AI Agent Engineer designs, builds, and deploys multi-agent AI workflows for triage, data retrieval, and reporting while managing the underlying cloud infrastructure. This role also involves owning the cloud footprint across GCP, Azure, and Cloudflare, ensuring security, cost-efficiency, and reliable deployment paths.
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The Senior Software Engineer will design and maintain infrastructure as code patterns and CI/CD pipelines to ensure reliable, secure, and scalable deployments across customer-owned and SaaS environments. They will also collaborate with internal teams and customers to troubleshoot complex infrastructure issues and improve system performance and observability.
The Senior DevOps Engineer will design, deploy, and manage scalable cloud infrastructure on Google Cloud Platform using Terraform. They will also implement CI/CD pipelines and collaborate with teams to ensure system reliability, security, and performance optimization.
The Senior Cloud Infrastructure Engineer will serve as a final escalation point for complex cloud, network, and identity issues while managing deployments and migrations. They will also architect secure solutions, maintain infrastructure as code, and collaborate with security teams to ensure system integrity.
Design, build, and operate secure AWS infrastructure while managing containerized workloads and on-premises Nutanix environments. Maintain system reliability through patching, automation, monitoring, and ensuring compliance with HITRUST and SOC 2 standards.
The role involves designing, building, and operating secure AWS infrastructure while managing containerized workloads and on-premises Nutanix environments. Additionally, the engineer will handle systems administration, SMTP relay infrastructure, and SSL/TLS certificate management to ensure system reliability and compliance.
The engineer will build, automate, and operate Azure cloud infrastructure, specifically focusing on MCP connectivity and Microsoft Foundry model access. Responsibilities include configuring APIM gateways, managing secure networking, and ensuring high availability through robust CI/CD and monitoring practices.
The DevOps Engineer will design, build, and maintain CI/CD pipelines and cloud infrastructure to streamline software release processes. They will also collaborate with cross-functional teams to ensure system reliability, security, and performance through automation and monitoring.
You will be responsible for designing, building, and maintaining scalable cloud infrastructure while automating day-to-day operational tasks. You will also collaborate with product teams to ensure platform reliability and participate in an on-call rotation.
The Senior Cloud Infrastructure Engineer will lead the transition from manual operations to a fully automated, standardized infrastructure using Terraform and Ansible. They will partner with development teams to design resilient GCP foundations and manage automated CI/CD pipelines within Azure DevOps.
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The Principal Cloud Infrastructure Engineer will lead the GCP cloud engineering team, setting architectural direction and establishing engineering standards for the enterprise. This role involves hands-on development of infrastructure as code, platform automation, and ensuring the security, scalability, and reliability of the GCP environment.
The Sales Engineer will act as a technical advisor to lead the technical side of the sales process, from discovery through solution validation. They will design architectures, deliver product demonstrations, and collaborate with internal teams to address customer requirements and technical barriers.
You will own the end-to-end technical chain for data collection, including firmware development for wearable sensors and cloud infrastructure management. You will collaborate with hardware, ML, and data teams to build scalable pipelines for processing multimodal robot training data.
You will own the full technical chain for data collection, including firmware development for wearable sensors and cloud infrastructure management. You will collaborate with hardware, ML, and data teams to deploy, monitor, and maintain data collection systems in the field.
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