Top Cloud Engineer Jobs in Seattle, WA

Design, implement, and manage scalable, secure AWS infrastructure using IaC (Terraform/CloudFormation), automate deployments and CI/CD, support containerized applications (Docker/EKS), monitor and troubleshoot performance, security, and cost, and collaborate with development teams to ensure reliable cloud operations for a VA engagement.

Lead architecture and deliver scalable, secure Azure solutions across the enterprise. Design IaC modules (Terraform), landing zones, CI/CD pipelines (Azure DevOps/GitHub Actions), governance (Policy as Code, RBAC), observability (Azure Monitor, Log Analytics, Application Insights), cost/performance optimization, container infrastructure, and incident response. Mentor engineers, run design/code reviews, and collaborate with stakeholders to translate business needs into production-ready cloud platforms.

Lead architecture, deployment, and integration of VMware Cloud Foundation solutions; act as technical advisor on VMware SDDC (vSphere, vSAN, NSX-T); develop VCF Automation and Operations service offerings; lead engagements, mentor engineers, produce reusable assets, and support sales with proposals and solution design.

Design, develop, and maintain cloud-compliant SAP applications using ABAP Cloud and RAP. Build OData/APIs, CDS views, Fiori integrations, and clean-core S/4HANA extensions. Collaborate with functional teams, perform code reviews, optimize performance, and support testing, deployment, and production support.

As a Cloud Cost Utilization SRE at GitLab, you'll manage cloud spending, improve tracking and optimization of cloud usage, and collaborate with finance and engineering teams to enhance cost efficiency across AWS and GCP.

Design, implement, and manage secure, highly available RHEL servers and Azure-based cloud solutions. Automate deployments with scripting, support Docker/Kubernetes pipelines, document systems, and adapt to new Azure resources to enhance capabilities for developer groups and military customers.

Design, deploy, and manage scalable, secure cloud infrastructure across AWS and Azure. Automate provisioning with Terraform/CloudFormation/ARM and scripts (Python/PowerShell/Bash). Integrate CI/CD (GitHub Actions), deploy containerized workloads with Docker/Kubernetes, monitor and troubleshoot performance/security, and collaborate with development teams to support DevOps and federal compliance.

The Azure Cloud Engineer II manages, monitors, and optimizes Azure and Microsoft 365 environments, providing operational support and driving improvements while ensuring compliance and security best practices.

The Cloud Engineer manages operations for development, testing, and production environments, focusing on cloud integration, security, and application support.

The Cloud Engineer II role focuses on managing cloud services, implementing improvements in Azure and Microsoft 365, and collaborating with engineers. Key responsibilities include identity management, troubleshooting issues, and creating automation documentation.

The Cloud Engineer I role involves maintaining cloud services, handling identity tasks, managing Microsoft 365 tools, and participating in troubleshooting and documentation efforts.

Develop and maintain cloud infrastructure and automation at scale using Terraform, Helm, and Kubernetes. Build AI-driven troubleshooting, cost-optimization, and LLM-based onboarding agents. Implement observability (Prometheus, Grafana, OpenTelemetry), automate deployments (GitOps), diagnose production issues, and mentor engineers on cloud best practices and AI-augmented workflows.

Administer and optimize private cloud virtualization platforms (VMware, Nutanix, Hyper-V); perform maintenance, patching, vulnerability remediation; troubleshoot Windows and Linux; collaborate with networking and security teams; develop automation (PowerShell/Bash/Python); maintain documentation; participate in shift rotations and 24/7 on-call support to improve platform reliability and performance.

The Senior Datacenter and Cloud Engineer manages datacenters, analyzes system performance, and collaborates with teams on infrastructure projects, ensuring optimal functionality.

Develop and maintain business-critical cloud storage capacity and automation software. Build automation for capacity planning, allocation, monitoring, and optimization. Troubleshoot complex issues, create deployments and test plans, document technical specs, and collaborate with engineering and business stakeholders. Identify and incorporate AI-assisted workflows to improve operational efficiency and reliability.

Design and automate scale and resilience tests for Qumulo's hybrid cloud storage platform. Build test frameworks and schedules, automate manual tests, troubleshoot failures across VMs and hardware, analyze cluster/C error logs, implement monitoring and alerts, participate in on-call, and help set release quality standards.

The Cloud Infrastructure Engineer will design and operate AWS and multi-cloud infrastructures, manage Kubernetes applications, and ensure system reliability. Responsibilities include developing CI/CD pipelines, implementing observability systems, and debugging production issues in distributed environments.

Design, build, and operate scalable cloud networking and service mesh infrastructure on AWS/EKS. Lead traffic management, service discovery, Istio/Envoy deployments, API/versioning standards, IaC with Terraform, and developer tooling in Python/Go while partnering with security and application teams and mentoring engineers.

The VMWare Cloud Engineer will design, deploy, and manage VMware infrastructure, focusing on stability, scalability, and hybrid-cloud capabilities while providing technical support and documentation.

As a Staff Cloud Engineer, you will design, build, and scale cloud infrastructure, supporting mission-critical systems and leading cloud architecture initiatives.

Lead performance and scalability analysis of the Kubernetes-based accelerated runtime stack, design upstream control-plane changes for hyperscale clusters, optimize container startup and inference latency, advance confidential container performance, model large AI-factory deployments with simulations, build at-scale tests and monitoring, and collaborate with researchers and upstream communities to validate and publish results.

Lead end-to-end design, development, and quality of cloud-based enterprise software solutions for caregivers. Define quality criteria, estimate costs, manage risks and engineering processes, integrate systems, and act as technical leader across large, complex projects.

Design, operate, and optimize large-scale Azure IaaS/PaaS services and hybrid environments. Implement IaC (Terraform, Azure CLI), enforce Azure Policy, manage Azure networking (VNets, private endpoints, ExpressRoute), maintain VMware/Hyper-V servers, ensure compliance for PHI/PII, participate in on-call incident response, create automation/runbooks, and lead technical discussions with teams.

Design, build, and operate scalable, highly available cloud services and microservices (Java/Spring Boot, Go, Python) on public cloud platforms. Own end-to-end service lifecycle, ensure reliability/observability/security, troubleshoot production incidents, use AI-assisted tooling, and collaborate cross-functionally to support millions of devices.

Lead cloud infrastructure strategy and deliver complex Azure platform initiatives using IaC (Pulumi/TypeScript/Python), CI/CD (Azure DevOps/GitHub Actions), Kubernetes/AKS, and observability while ensuring HIPAA-compliant security, cost governance, disaster recovery, and mentoring engineering teams.