Top Remote Cloud Engineer Jobs

Lead design, implementation, automation, and operation of enterprise Okta identity services. Drive application onboarding, federation, lifecycle management, resiliency, monitoring, incident response, governance, and platform automation while mentoring engineers and improving security posture.

Design, build, and operate Redpanda Cloud services across AWS, GCP, and Azure. Own features end to end, lead technical architecture, and develop automated provisioning, deployment, upgrades, and self-healing systems. Maintain reliability, scalability, security, resilience, and observability for a 99.99% SLA. Participate in on-call operations and collaborate with Cloud, Core, AI, Platform, product, and customer-facing teams.

Leads cloud services operations, infrastructure improvements, complex issue resolution, customer deployments, maintenance, automation, and technical documentation across private and public cloud environments. Collaborates with architects, mentors cloud engineers and administrators, recommends infrastructure and configuration improvements, and supports scalable, secure, cost-efficient cloud solutions.

Create and maintain runnable, tested developer-facing documentation and example repos (Terraform/CloudFormation/CDK, SDKs, CLI) for AWS workloads; instrument docs for activation and trial conversion; collaborate with engineering, product, and growth to optimize onboarding and self-serve success.

Provides second-line technical support for SaaS and private-cloud environments, diagnosing complex AWS, Kubernetes, API, search, and agentic-system issues. Partners with Engineering, Product, and customer-facing teams to resolve cases, lead technical account reviews, identify risks, improve processes, and create runbooks and documentation. Builds reusable AI workflows, prompt libraries, and MCP-connected investigation tools while mentoring junior engineers and supporting strategic customers.

Build and maintain cloud infrastructure, automation, configuration management, and CI/CD pipelines. Operate Kubernetes, Helm, and Docker workloads across multiple public clouds; configure observability tooling; troubleshoot production systems spanning networking, databases, serverless functions, and caching; and participate in a 24/7 on-call rotation. The role also involves owning infrastructure projects end to end and collaborating across engineering and product teams.

Assess, design and improve AWS/Azure cloud environments for security, cost, networking, storage, serverless and containerized deployments. Provide L2+ incident support, create SOPs, mentor junior staff, support Linux/Windows servers, document architecture, participate in governance/change processes, and join a 24/7 on-call rotation.

Lead hands-on cloud implementation and technical ownership for Google Cloud environments: design, deploy, and operate secure, scalable infrastructure; implement hybrid connectivity, security guardrails, observability, and automation; lead delivery and mentor engineering teams.

Lead design, implementation, and operation of Signifyd's GCP/Kubernetes cloud platform. Architect scalable, secure infrastructure, embed AI-driven automation, own SLOs and incident response, improve developer experience via CI/CD/GitOps tooling, mentor engineers, manage cloud capacity/FinOps, and build observability and security into the platform.

Leads Azure, AWS, and hybrid cloud deployment, migration, modernization, networking, security, automation, governance, backup, and disaster recovery projects. Designs highly available cloud architectures, implements Infrastructure as Code, supports virtual desktop environments, assesses customer readiness, and develops migration roadmaps. Provides technical leadership, mentoring, escalation support, architecture review participation, and customer advisory services.

Design, implement, and maintain high-performance cloud gaming software stacks across the application pipeline, including hardware-accelerated video/audio/data processing, media encoding/decoding, graphics APIs, and network transport. Optimize local and end-to-end system performance, work across complex codebases and hardware platforms, collaborate across teams, and take ownership from conception to production.

Provides third-level AWS cloud support for customers, troubleshooting complex technical issues and designing scalable solutions. Responsibilities include systems administration, security reviews, patching, deployments, account administration, cost optimization, automation, monitoring, and Well-Architected Framework Reviews. The engineer supports presales engagements, quality-checks team work, participates in 24/7 on-call rotation, mentors junior engineers, and documents solutions. The role requires strong AWS, Linux, Windows, web-service, scripting, networking, and production operations expertise.

Lead the architecture and development of Azure-based IoT cloud solutions, ensuring scalability, reliability, and security. Mentor engineers and optimize cloud platform performance while collaborating across teams.

Design and scale secure AWS environments, build and maintain Terraform IaC and pipelines, lead security assessments and incident response, integrate security into CI/CD, define IAM/encryption/network controls, monitor and investigate cloud threats, and coach teams on cloud security best practices.

Design, build, and scale HSM-backed cryptographic and key-management services for large-scale cloud environments. Implement PKI, TLS, client-side encryption, TEEs, and Confidential VMs. Integrate identity (OAuth/SAML/Keycloak) and secure Google Workspace services. Ensure cryptographic lifecycle, compliance (FIPS), high availability, and support secure deployments across cloud APIs, OS, and hardware.

Support DoD cloud security by implementing NIST/FedRAMP/DoD controls, configuring IAM/RBAC/Zero Trust, conducting vulnerability assessments and incident response, and producing SSPs, SARs, and POA&Ms to ensure compliance.

Manage and optimize cloud security posture across GCP and AWS, triage and remediate alerts/vulnerabilities, harden Kubernetes environments, implement secure baselines and guardrails, support secure AI/LLM integrations, produce compliance evidence, and participate in cloud incident response.

Secure and harden cloud infrastructure, identity systems, and internal AI/agentic tooling. Build security automation, detection pipelines, and IaC controls (Terraform). Investigate incidents, query logs (Athena, CloudTrail Lake), design IAM policies, support secure customer deployments, research cloud/AI security threats, and produce runbooks and playbooks to scale security practices.

Design, implement, and migrate Microsoft cloud infrastructure (Entra ID, M365, Intune, Purview, Defender, Azure). Lead tenant and workload migrations, Azure networking and backup, endpoint management, documentation, and client enablement across concurrent engagements.

Lead and operate enterprise Azure and Microsoft 365 platforms, manage hybrid identity (Entra ID/AD), deliver and govern AI solutions (Azure OpenAI, Azure ML, Copilot), provide L2/3 support, secure and govern cloud resources, manage on‑prem infrastructure, and drive vendor, project, and stakeholder engagement to scale AI initiatives.

Designs, builds, and operates GenAI cloud platforms across Azure, AWS, and Google. Develops self-service tools, CI/CD pipelines, and Terraform IaC. Troubleshoots performance and availability, automates deployments, supports developer adoption of LLMs and AI services, and leads postmortems and scalability planning.

Lead design and delivery of agentic AI systems and LLMOps on AWS to generate, validate, and deploy infrastructure-as-code (Terraform). Build multi-agent applications, RAG pipelines, and AIOps for cloud operations; integrate AI into CI/CD and ITSM. Set technical direction, establish guardrails/policy-as-code, curate reusable Terraform modules, and mentor engineering teams.

The Staff Cloud Infrastructure Engineer is responsible for designing, automating, and managing cloud infrastructure using AWS and tools like Terraform. This role involves collaborating with engineering teams, ensuring security, and mentoring others, all while building reliable and scalable systems.

Design and implement cloud-native data management services (catalog, metadata, dataset/checkpoint lifecycle) for exabyte-scale GPU workloads. Build backend systems on Kubernetes and major cloud providers, collaborate with research and cross-functional teams, document architecture, and drive integration with storage/compute innovations (GPU Direct Storage, DPU).

Provide Tier II/Tier III production support for GEOMAP cloud-hosted applications: monitor system health, troubleshoot incidents, perform root-cause analysis, support releases/CI-CD deployments, maintain runbooks, coordinate across engineering/help desk/government teams, and ensure security/compliance in a DoD environment.