Top Remote Cloud Engineer Jobs

Build and operate Temporal Cloud’s managed compute platform, including autoscaling systems, multi-tenant execution services, cloud integrations, control and data plane boundaries, security controls, observability, and reliability practices. Lead API design, rollout, incident response, technical reviews, cross-team collaboration, and mentorship for production platform capabilities.

Own the architecture and operation of a secure, scalable GCP platform for production AI agents. Design networking, identity, service perimeters, secrets management, Terraform modules, CI/CD pipelines, LLM access, observability, and cost controls. Lead incident response, postmortems, provider relationships, and platform governance while enabling product teams to deploy independently and safely.

Designs, deploys, and operates secure, scalable AWS and Azure cloud infrastructure. Builds infrastructure-as-code frameworks and CI/CD pipelines, automates operational processes, and improves reliability, security, compliance, and cost efficiency. Responsibilities include cloud networking, identity, encryption, monitoring, incident resolution, security posture management, FinOps practices, platform standards, and collaboration with cybersecurity, developers, and business stakeholders.

Design, develop, and test full-stack web components and APIs using cloud-native (GCP) microservices. Build frontend UIs, backend services, unit/integration tests, and CI/CD pipelines. Collaborate with product, QA, and security teams to deliver production-ready code and ensure compliance with enterprise security controls.

Lead design, development, testing, and deployment of cloud-native full‑stack applications and microservices. Provide technical leadership, mentor engineers, implement CI/CD and automated tests, and drive modernization using GCP or similar cloud platforms, containers, and enterprise security best practices.

Designs and manages security controls for AWS and Kubernetes environments, including sandboxing, infrastructure-as-code, cluster hardening, threat modeling, audits, CI/CD security, incident response, and compliance. The role collaborates with engineering and infrastructure teams, mentors engineers, and advocates for cloud security practices across the organization.

Design, develop, test, and extend NVIDIA’s large-scale object storage platform. Responsibilities include improving availability, reliability, durability, fault tolerance, and performance across deployments exceeding 10,000 nodes and exabytes of data. The role also automates storage infrastructure provisioning, management, and monitoring; supports AI/ML research teams; owns product delivery through support; and contributes to open-source storage projects.

Lead technical pre-sales for enterprise AI applications: run demos, PoCs, hackathons, and architecture workshops. Design secure, scalable cloud-native AI solutions, resolve technical blockers, and advise customers on AI Foundry, Azure AI, Responsible AI, and AI management/security to accelerate adoption and deployment.

Leads hypothesis-driven threat hunting, cloud vulnerability analysis, remediation, and incident response across AWS, Azure, GCP, and OCI. Administers Qualys and Tenable, analyzes SIEM and cloud telemetry, investigates threats, prioritizes vulnerabilities, remediates misconfigurations and IAM risks, develops detections and hunt playbooks, documents findings, briefs stakeholders, and mentors junior engineers.

Leads technical sales engagements for Microsoft cloud and AI solutions. Delivers demonstrations, proofs of concept, hackathons, coding sessions, and architecture workshops to drive customer adoption and production deployment. Designs secure, scalable, cloud-native and AI-enabled architectures; resolves technical blockers; collaborates with engineering teams; and advises customers on AI Foundry, Azure AI, agentic AI, Responsible AI, application modernization, and deployment workflows.

The Cloud Product Security Engineer builds and operates security controls within cloud environments, focusing on preventive measures and incident response, while ensuring integration with cloud platforms and CI/CD workflows.

Design, develop, test, deploy, and sustain secure enterprise applications for DCSA using Java, Kotlin, TypeScript, Oracle, SQL Server, and AWS GovCloud. Responsibilities include database optimization, cloud troubleshooting, Agile collaboration, code reviews, documentation, compliance, stakeholder briefings, and full SDLC participation.

The Site Reliability Engineer will improve availability, scalability, observability, resilience, and operability across a 24/7 SaaS platform. Responsibilities include designing high-availability systems, defining SLOs and error budgets, managing Datadog observability, responding to incidents, conducting root cause analysis, improving deployment safety, automating operational tasks, managing infrastructure as code, and supporting compliance with security and HIPAA policies.

Secure Runpod’s multitenant GPU cloud infrastructure across bare-metal and virtualized environments. Responsibilities include designing workload and network isolation, hardening Linux kernels and container platforms, testing hypervisor and hardware security, developing low-level controls in C, Go, or Rust, securing GPU and PCIe interactions, and responding to infrastructure security incidents with forensic capabilities for ephemeral containers.

Design, modernize, operate, and support enterprise Windows 365 Cloud PC and Azure Virtual Desktop environments. Engineer host pools, images, FSLogix profiles, scaling, security, identity, networking, application delivery, monitoring, and automation. Apply Windows 11, Intune, Group Policy, patching, and endpoint security expertise while troubleshooting complex platform issues. Develop persona-based workspaces, improve user experience, document solutions, support governance, and collaborate across infrastructure, security, identity, application, and operations teams.

Own and evolve the architecture of Agiloft’s AWS-based cloud services and infrastructure. Lead scalable, secure, reliable, and observable distributed-system design; define service boundaries, APIs, and integration patterns; and drive modernization, automation, CI/CD, infrastructure-as-code, and AI-assisted engineering practices. Partner with CloudOps and engineering leadership on reliability, disaster recovery, cost optimization, and operational readiness. Mentor engineers, influence technical strategy, improve developer experience, and guide long-term platform evolution.

Builds, troubleshoots, improves, and maintains Tenable ACAS cloud infrastructure in Azure. Responsibilities include managing Kubernetes containers, CI/CD pipelines, Red Hat Linux systems, RHEL Satellite, Ansible, VMware environments, and automation scripts. The role investigates root causes, implements process improvements, develops technical diagrams and presentations, supports project scheduling, and applies STIGs and government compliance requirements. It requires collaboration with architects, engineers, project managers, and Department of the Air Force stakeholders.

Own production uptime, infrastructure operations, backups, disaster recovery, monitoring, incident response, patching, security hardening, and operational reliability. Administer Windows Server, SQL Server, hosted infrastructure, Apache, Tomcat, cloud platforms, networking, certificates, and access controls. Evaluate architecture, capacity, lifecycle, resilience, modernization, and cost optimization across private and public clouds. Automate operational tasks with PowerShell, maintain runbooks and audit evidence, manage vendors, and participate in on-call support and scheduled maintenance.

Build and operate distributed cloud backend services powering AI connections, collaboration, authentication, billing, telemetry, and developer workflows. Responsibilities include designing APIs and data models, writing Rust services, managing cloud infrastructure, leading projects, resolving production issues, participating in on-call, and guiding technical decisions across the team.

Implements and maintains cloud security controls across Microsoft 365 GCC High, Azure, AWS, and hybrid environments. Administers cloud security platforms, integrates telemetry, supports vulnerability remediation, and validates controls against CMMC, NIST, DFARS, ITAR, ISO 27001, and other requirements. Secures generative AI, machine-learning, copilot, RAG, and agentic systems through access controls, sandboxing, logging, and execution safeguards. Performs risk assessments, control testing, audit evidence collection, SOC escalation support, automation, documentation, and occasional off-hours incident support.

Leads architecture, development, and operationalization of secure, resilient multi-cloud infrastructure across AWS, Azure, and GCP. Builds Terraform-based infrastructure, backend microservices, CI/CD pipelines, DevSecOps controls, cloud governance frameworks, and AI-powered automation. Partners with security and compliance teams, evaluates emerging technologies, establishes engineering best practices, and mentors engineers through technical reviews and architecture discussions.

Lead architecture and development of production-grade Kubernetes platform capabilities: cluster management, control plane services, fleet lifecycle, provisioning, upgrades, remediation, and automation. Drive technical strategy, cross-team execution, operational reliability, and mentor senior engineers to improve scalability and operability for large-scale AI deployments.

Lead architecture and development of reliable, scalable distributed storage services for AI/ML. Build and maintain Go applications, containers, bindings, and CLI tools deployed on Kubernetes. Enhance availability, automate deployment and monitoring, and collaborate with research, product, engineering, and customers. Requires ownership of enterprise software throughout its lifecycle, with experience in distributed systems, cloud services, storage interfaces, and large-scale deployments.

Design and build software-defined networking infrastructure using EVPN and BGP architectures. Develop networking software, conduct code reviews, collaborate on underlay network architecture, implement multi-tenant networking solutions, establish networking strategies, and lead complex projects while ensuring high standards for reliability and correctness.

Leads architecture and development of NVIDIA’s network visibility platform, integrating topology, configuration, telemetry, active measurement, change intelligence, and self-service tools. Builds authoritative network models, defines observability and measurement strategies, establishes data contracts and quality standards, and delivers health, path, and blast-radius insights. Drives cross-functional roadmaps, build-versus-buy decisions, operational tradeoffs, and technical mentorship across large-scale infrastructure systems.