Top Remote Cloud Engineer Jobs

The Cloud Engineer (AWS) will design, implement, and support cloud solutions, ensure compliance with security controls, and facilitate solution transitions for a federal agency.

The Cloud Engineer (AWS) will design cloud solutions, support documentation for processes, and manage cloud services for federal agency projects.

Design, develop, maintain, and support full-stack applications, Azure cloud services, REST APIs, integrations, and data workflows. Contribute to CI/CD, infrastructure automation, testing, monitoring, troubleshooting, documentation, and operational improvements. Participate in a 24x7 rotational on-call schedule, handling incidents, restoring services, documenting resolutions, and supporting continuous reliability improvements across business-critical platforms.

Lead design, build, operation, and continuous improvement of the company AWS cloud platform. Act as player-coach managing Cloud Engineering and DevOps teams, architect IaC, operate container and networking platforms, enforce security/compliance (GxP, 21 CFR Part 11), run CI/CD and SRE practices, partner with stakeholders, and own the cloud platform roadmap and vendor relationships.

Responsible for designing and architecting network infrastructure on GCP, with hands-on technical leadership in cloud connectivity and automated provisioning.

Design, develop, deploy, and maintain cloud-native AWS applications using Node.js, React.js, and JavaScript/TypeScript. Build infrastructure as code with Terraform or AWS CDK, create CI/CD pipelines, troubleshoot Linux environments, and support secure cloud operations. Collaborate with UI/UX, cloud engineering, architecture, and DevOps teams while contributing to compliance, hardening, architectural decisions, and on-call operations.

Design and guide enterprise cloud and AI infrastructure strategy, lead large-scale cloud migrations, define architectures and CI/CD pipelines, implement monitoring and security, produce design documentation, support L3 troubleshooting, and collaborate with product and engineering teams to operationalize DevOps processes.

Lead cloud migration, AI platform adoption, and operational optimization. Design and automate cloud infrastructure (IaC, CI/CD), monitor and troubleshoot systems, guide security and architecture decisions, and document/educate teams to ensure scalable, redundant cloud/AI deployments.

Design, build, test, and maintain secure, scalable cloud-native software tools and microservices on GCP. Develop APIs, integrate AI/ML outputs, manage GKE infrastructure using IaC, support CI/CD pipelines, monitor systems, address vulnerabilities, participate in code reviews, and document solutions. Collaborate with data scientists, DevSecOps engineers, security teams, and mission owners in a DoD intelligence environment.

Design, implement, and support cloud-based technical solutions across the organization. Collaborate with IT, product, analytics, and business teams to gather requirements, build automated cloud solutions, monitor production, document processes, and ensure alignment with architecture, security, and governance standards. Stay current with cloud offerings and assist in technical decision-making.

Build and maintain network automation and orchestration software for NVIDIA GPU Cloud and SuperPod deployments. Design/configure centralized configuration management, integrate cloud provider APIs, implement data pipelines and streaming telemetry, and automate lifecycle operations from procurement to deployment. Collaborate with infrastructure experts to deliver zero-touch, production-grade network provisioning, monitoring, and management tools.

Owns analytics datasets and data products for Netflix’s cloud games infrastructure. Builds scalable pipelines, data models, metrics, dashboards, tooling, and self-service assets from massive telemetry data. Partners with infrastructure engineering, data engineering, and data science teams to improve quality of experience, capacity, and utilization insights. Responsibilities include telemetry and logging, visualization, trustworthy documentation, scalable data solutions, and independently prioritizing high-impact investments.

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.

Senior technical security engineer responsible for cloud infrastructure security, detection engineering, incident response, application and product security, vulnerability management, penetration test ownership, and security automation. Partners with platform, logistics, and IT teams, manages an application security contractor, and builds tooling to raise the security posture across AWS, IaC, edge, and container environments.

Design, deploy, and support VMware-based private cloud (SDDC/HCI/SDN) solutions. Create high/low-level designs, run POCs and health checks, perform upgrades/patching, troubleshoot RCAs, and provide SLA-aligned technical support while collaborating with architects and customers.

Secure Temporal’s multi-cloud platform across AWS, GCP, and Azure by embedding security into infrastructure and application architecture. Responsibilities include threat modeling, risk assessment, Kubernetes hardening, multi-tenant isolation, gRPC and mTLS security, service mesh configuration, cloud security posture management with Wiz, secrets management, encryption, compliance policy development, engineering partnership, and on-call participation. The role also contributes to responsible AI practices and security for distributed workflow systems.

Build and operate managed compute primitives for Temporal Cloud, including autoscaling systems, cloud integrations, control-plane and data-plane services, and multi-tenant execution infrastructure. Own architecture, APIs, reliability, observability, rollout strategies, incident response, and long-term maintenance. Lead technical design, cross-team platform initiatives, code reviews, and mentorship while ensuring secure, performant, and fault-tolerant customer-facing services.

Design, build, and operate highly scalable distributed storage systems for Temporal Cloud. Responsibilities include developing persistence APIs, replication paths, caches, tiered storage, and observability; improving reliability and performance through SLO ownership, chaos testing, profiling, and incident reviews; and providing technical leadership through roadmap planning, RFCs, mentoring, and cross-team delivery.

Lead the architecture and delivery of scalable backend systems supporting customer onboarding, account lifecycle management, billing, metering, marketplace integrations, revenue data synchronization, and customer-facing usage reporting. Build reliable distributed systems, data pipelines, and integrations while ensuring correctness, observability, compliance, and operational readiness. Partner with Finance, RevOps, Sales, Support, Product, and Engineering, provide technical leadership, mentor engineers, and improve customer and developer experiences.

Design, build, and operate highly scalable, multi-tenant cloud storage systems for workflow data. Responsibilities include developing persistence APIs, storage abstractions, replication paths, caches, tiered storage, and observability; improving reliability and performance through SLOs, chaos testing, profiling, and incident reviews; leading technical designs, mentoring engineers, and collaborating across teams.

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.

Develop and architect Salesforce Commerce Cloud features for a telehealth e-commerce platform. Build responsive React and Builder.io experiences, custom cartridges, integrations, and commerce feeds spanning inventory, pricing, order management, prescriptions, reviews, and analytics. Manage OCAPI/SCAPI integrations, Cloudflare caching, Business Manager configuration, performance monitoring, releases, and compliance. Collaborate with agencies and internal teams, mitigate project risks, and mentor junior engineers.

The Cloud Inference Engineer is responsible for building and maintaining a scalable LLM inference platform, focusing on distributed systems and machine learning technologies while collaborating across teams to optimize performance.

Design and evaluate cloud infrastructure, Kubernetes, IaC, AWS, and CI/CD solutions for GenAI training and inference environments. Create technical scenarios, reference solutions, evaluation rubrics, and feedback for AI-generated infrastructure outputs. Troubleshoot production Kubernetes and distributed-system failures while applying cloud architecture, security, reliability, observability, and operational best practices.

Design, build, and operate core cloud-native infrastructure services for NVIDIA DGX Cloud. Develop scalable, secure microservices and automation for provisioning and lifecycle management, integrate internal and external platforms, and implement observability and security to ensure reliable, global production operations.