Top Remote Cloud Engineer Jobs

Designs, deploys, secures, and operates high-traffic WordPress environments on AWS using Kubernetes, CI/CD, infrastructure as code, and cloud services. Maintains production and nonproduction environments, monitoring, uptime, business continuity, and automation. Leads security control implementation, vulnerability responses, risk management, compliance assessments, and security impact analyses for federal systems. Collaborates with architects, product owners, engineers, and security stakeholders while supporting troubleshooting and solution documentation.

Operate and improve production cloud infrastructure across Azure and AWS. Implement cloud security controls, vulnerability remediation, monitoring, incident response, and SOC 2 compliance processes. Automate operations with scripting, Terraform or Bicep, and CI/CD pipelines. Support reliability, cost optimization, infrastructure integrations, documentation, and on-call resolution for mission-critical SaaS products.

Design, deploy, secure, and maintain scalable AWS infrastructure using Terraform and GitLab CI/CD. Provide application and cloud support, monitor systems, troubleshoot incidents, manage IAM, perform maintenance and backups, improve observability and reliability, and guide cloud architecture and deployment decisions. Collaborate with engineering, security, data, and infrastructure teams while supporting audits, documentation, disaster recovery, and on-call operations.

Design, implement, maintain, and secure scalable cloud infrastructure across Azure, AWS, and enterprise SaaS platforms. Automate cloud resource provisioning, monitor system performance, support data governance and compliance, resolve complex incidents, conduct root cause analysis, and improve operational reliability. The role also develops infrastructure standards and documentation, partners with security teams, mentors junior engineers, and participates in 24/7 on-call support.

Develops, integrates, tests, deploys, and supports cloud-based conversational AI and contact center solutions. Configures GCP services, builds API and enterprise integrations, supports platform modernization, troubleshoots production issues, and implements authentication, workflow orchestration, monitoring, security, and CI/CD practices. Collaborates with architects and cross-functional teams in Agile delivery while maintaining technical documentation and improving platform reliability.

Leads the design, development, and operation of cloud and AI platforms, supporting scalable technology solutions for clients.

Design, build, operate, and maintain secure, resilient AWS cloud and container infrastructure. Lead technical initiatives, improve developer experience through automation and self-service platforms, troubleshoot production incidents, support migrations, and develop infrastructure tooling. Collaborate across engineering teams, participate in code reviews, mentor peers, and reduce operational toil through automated testing, observability, and infrastructure as code.

Designs, builds, supports, and improves hybrid infrastructure across on-premises environments and Microsoft Azure. Responsibilities include cloud platform engineering, networking, virtualization, application hosting, DevOps automation, infrastructure as code, security, monitoring, high availability, disaster recovery, incident management, and operational support. The role partners with development and security teams to maintain resilient customer-facing applications, including the Homeowner Portal, while advancing cloud modernization and automation initiatives.

Build and maintain Airbnb’s cloud infrastructure platform, including developer APIs, CLIs, Kubernetes automation, service provisioning, autoscaling, multi-region capabilities, and AI-native agent workflows. Improve platform reliability, security, scalability, and developer experience; contribute to open-source infrastructure projects; debug production issues; and collaborate with engineering teams across Airbnb.

Design and deliver production-grade backend systems powering Temporal Cloud namespaces, audit logs, export, and data products. Architect scalable data pipelines and storage systems, establish data quality and observability standards, lead technical direction, improve reliability and incident response, collaborate cross-functionally, and mentor engineers. The role emphasizes distributed systems, operational excellence, customer experience, and resilient cloud architectures.

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.

Provide technical pre-sales leadership for nonprofit customers modernizing cloud and platform estates. Design secure, scalable, resilient, compliant, and sovereign Azure architectures; lead workshops, demonstrations, prototypes, proofs of concept, migrations, and modernization initiatives. Advise stakeholders on Windows, Linux, Oracle, networking, hybrid cloud, containers, AI infrastructure, and enterprise platforms while driving technical decisions and production-scale Azure deployments.

Lead technical sales engagements for Microsoft Azure database and analytics solutions. Design secure, scalable architectures, conduct workshops, demos, whiteboarding sessions, prototypes, pilots, and proofs of concept, and guide customers through migrations and production deployments. Maintain expertise in Microsoft Fabric, Azure Databricks, Azure databases, data warehouses, big data, analytics, and AI transformation while influencing technical decisions and customer commitments.

Lead AWS cloud infrastructure, infrastructure-as-code, CI/CD, observability, security, compliance, and platform operations. Design and operate networking, compute, storage, Kubernetes environments, deployment pipelines, secrets management, and audit controls. Partner with SRE and application engineering teams on reliability, incident response, deployment patterns, migrations, and platform improvements. Document architecture and runbooks while supporting regulated applications and participating in on-call coverage.

Drive technical sales for Azure cloud and AI infrastructure solutions. Lead architecture sessions, workshops, demos, proofs of concept, and migration or modernization initiatives. Design secure, scalable hybrid-cloud architectures for Windows, SQL, Linux, PostgreSQL, Oracle, and enterprise applications. Advise customers on networking, resiliency, compliance, containers, AKS, Azure Arc, SAP, VMware, and partner technologies while collaborating with engineering and business stakeholders.

Leads cloud platform engineering through individual contribution, mentorship, infrastructure-as-code, CI/CD automation, AWS architecture, security, networking, Kubernetes, service mesh, and cloud-native scaling. The role develops enterprise automation with Terraform, establishes infrastructure standards, implements GitOps deployment pipelines, ensures AWS Well-Architected and regulatory compliance, and partners with stakeholders on scalable, resilient platform solutions.

Supports cloud infrastructure operations, deployments, monitoring, incident resolution, disaster recovery, backups, IAM governance, and Level 2 production support. Develops automation, monitoring, reporting, documentation, and cloud standards while troubleshooting production issues and participating in on-call rotations. Collaborates with platform teams, researches cloud-native technologies, improves reliability and cost efficiency, and supports secure distributed systems.

Develop and optimize resilient, large-scale cloud services supporting AI training workloads. Design Kubernetes-orchestrated microservices, APIs, job submission abstractions, lifecycle automation, checkpointing, telemetry, and failure recovery systems. Collaborate on distributed systems spanning cloud and on-premises AI clusters, integrating with NVIDIA resiliency infrastructure and HPC platforms. The role requires backend development experience, cloud and container expertise, and familiarity with AI frameworks, schedulers, GPUs, and high-performance computing.

Designs, deploys, and maintains scalable, secure AWS infrastructure for customer projects, including migrations, landing zones, containerized applications, serverless systems, and infrastructure as code. Builds CI/CD automation, monitoring, logging, disaster recovery, and security controls; optimizes cost and performance; troubleshoots Linux, Windows, Kubernetes, and AWS environments; documents solutions; and communicates with clients and cross-functional teams throughout delivery engagements.

Designs, deploys, and operates scalable, secure, reliable, and cost-effective cloud landing zones on GCP and Azure. Responsibilities include cloud architecture, infrastructure automation with Terraform or Ansible, security and governance, monitoring, cost optimization, troubleshooting, CI/CD support, documentation, and collaboration with infrastructure and engineering teams. The role requires hands-on cloud-native expertise across Kubernetes, Docker, microservices, and cloud operations.

Designs and improves cloud security architecture across Iterable’s infrastructure. Responsibilities include reviewing system designs, addressing vulnerabilities, implementing automated security testing, integrating security controls into CI pipelines, enforcing secure Infrastructure as Code policies, advancing DevSecOps practices, and coordinating cloud penetration tests. The role requires strong AWS, Kubernetes, Terraform, programming, identity, infrastructure, and cloud security expertise.

Drive technical sales and customer adoption of Microsoft’s cloud and AI platforms through demonstrations, proofs of concept, hackathons, and architecture workshops. Design secure, scalable AI and cloud-native application solutions, resolve technical blockers, and guide production deployments. Build relationships with developers and platform leaders while maintaining expertise in AI Foundry, Azure AI, responsible AI, application modernization, and AI management and security.

Leads architecture, development, and operation of Python-based AWS backend and IoT cloud services. Designs Lambda microservices, REST APIs, event-driven workflows, telemetry pipelines, data models, and AWS IoT Core integrations. Provides hands-on technical leadership through coding, design and code reviews, mentoring, planning, and standards development. Ensures security, scalability, observability, CI/CD, production readiness, incident response, and cross-functional alignment across firmware, mobile, QA, DevOps, Product, and Security teams.

Designs, operates, and troubleshoots planetary-scale Azure network fabrics, including Ethernet, RDMA, and InfiniBand back-end networks for AI workloads. Develops resilient network designs, implementation plans, automation, and security reviews; leads cross-team and third-party integrations; resolves production incidents through root-cause analysis, telemetry, and device-level diagnostics; and participates in on-call duties while guiding other engineers.

Manage and optimize AWS cloud infrastructure in a fully remote DevOps role. Responsibilities include incident response, root cause analysis, ticket resolution, CI/CD and infrastructure automation, configuration management, observability, security best practices, cost optimization, and technical documentation. The role supports migration of Department of Interior applications to a secure multi-cloud platform and requires collaboration with customer DevOps teams.