Top Cloud Engineer Jobs in Seattle, WA

Design, build, and maintain cloud infrastructure software (primarily in Go) to manage VMs across global data centers. Collaborate on product requirements, participate in code reviews, optimize performance and reliability, contribute to architecture decisions, and stay current with industry trends.

Implement, manage, and optimize scalable Azure and AWS cloud environments; design and document cloud architectures; onboard large clients; troubleshoot complex cloud issues; support pre-sales and vendor relationships; cost and performance optimize; productize solutions and evaluate new technologies.

The Senior Staff Backend Engineer will enhance cloud infrastructure's reliability and efficiency, design scalable systems, and collaborate across teams to improve architecture and deployment automation.

The Staff Engineer will design and implement a service mesh architecture for hybrid cloud environments, ensuring secure communication, observability, and resilience in microservices. Responsibilities include integrating technology, establishing best practices, mentoring teams, and collaborating on performance monitoring.

Design and implement service mesh architecture for GEICO's hybrid cloud, ensuring secure communication and observability for applications while mentoring engineers and collaborating across teams.

Develop and debug cloud-native solutions for AI/ML datacenters, focusing on Kubernetes and Slurm enhancements and customer workflows.

Design and manage cloud infrastructure and applications, optimize performance, automate with IAC tools, and educate teams on best practices.

The Senior Staff Cloud Engineer will lead cloud strategy, design architectures for scalability and reliability, and manage cloud solutions to optimize IT infrastructure, ensuring high performance while mentoring team members.

Lead full-stack developer responsible for designing, building, and maintaining Salesforce Commerce Cloud e-commerce solutions and integrations (ERP/CRM). Mentor junior developers, provide technical leadership, troubleshoot issues, and deliver scalable, secure code while collaborating with cross-functional teams.

The Principal Cloud Infrastructure Engineer will design, analyze, and maintain cloud infrastructure, ensuring compliance with security standards and integrating application development with IT infrastructure.

Design, build, and operate AWS and Azure cloud infrastructure; own IaC and CI/CD pipelines; manage containerized and serverless workloads; automate operations with scripting; enforce security and cost optimization; support cloud migrations and integrate AI/ML operational needs.

Lead the development of IAM and RBAC systems, design scalable authorization models, and drive cross-team security initiatives while ensuring high availability and performance.

As a Senior Software Engineer in Cloud, you'll design and build secure, scalable cloud services, lead technical initiatives, and collaborate with teams to enhance the cloud platform while ensuring high performance and reliability.

Lead development and maintenance of node provisioning, OS image build/packaging, and nodepool lifecycle for NVIDIA Kubernetes Engine. Build CAPI providers, BYON onboarding, hardened image pipelines with automated CVE remediation and compliance gating, and automated test suites. Troubleshoot node-layer failures at scale, collaborate with upstream Kubernetes/CAPI communities, and ensure reliable GPU-optimized node operations across large clusters.

Design and develop resilient distributed systems, deliver cloud automation frameworks, and resolve complex technical issues. Requires backend software experience and knowledge of multiple programming languages.

Design, build, and operate secure, compliant GovCloud infrastructure and automation. Maintain mission-critical Azure PaaS services, manage IaC and CI/CD pipelines, troubleshoot applications, run 24x7 on-call, implement IAM and cloud security controls, support audits/compliance, and produce clear technical documentation.

Lead cloud infrastructure strategy and architecture for a B2B SaaS platform. Design and implement scalable, secure cloud solutions (AWS/Azure/GCP), enforce IaC (Terraform/CloudFormation), containerization (Docker/Kubernetes), monitor performance, and mentor cloud engineers while collaborating with cross-functional teams to optimize cost, reliability, and security.

Own reliability across vehicle and cloud stacks for AUV operations: onboard Jetson/ROS2 compute, topside systems, cloud ingestion/processing and customer platform. Build automation, observability, runbooks, and self-recovery to reduce on-call toil; manage AWS infrastructure, IaC, container orchestration, and reliability targets. Participate in shared 12-hour on-call shifts and field deployments, mentor team on operational excellence.

Implement and maintain AWS cloud standards, IaC patterns, and CI/CD automation to enable developer self-service. Support containerized workloads, monitoring, security/compliance, troubleshooting, documentation, and participate in on-call rotation to ensure reliable, cost-efficient cloud platform operations.

Design, deploy, and maintain a secure cloud-native Enterprise Data Warehouse using DevSecOps practices. Build and operate automated CI/CD pipelines, IaC, containerized workloads, security/compliance integrations, continuous monitoring, vulnerability management, and change-control. Document processes, provide training, coordinate standards across stakeholders, and produce metrics to drive improvement.

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.

Design, operate, and evolve ElastixAI's Kubernetes and multi-cloud inference infrastructure. Run accelerated ML workloads at scale, build deployment and automation tooling, harden AWS/GCP/on-prem systems, partner with ML/runtime teams to productionize models, optimize costs and reliability, and participate in on-call rotation.

Lead architecture and build control plane services for a petabyte-scale compute platform. Design multi-tenant resource management, intelligent scheduling, GPU and AI/ML workload orchestration, and Kubernetes operators. Drive integration with infrastructure teams, lead code reviews, set standards, and mentor engineers to deliver production-grade distributed systems.

Own and operate the data plane: develop Envoy/WASM filters for deep packet inspection, deploy and manage EKS workloads with Helm/GitOps and CI/CD, integrate Redis sidecars, provide observability (Prometheus/Grafana/OpenTelemetry), ensure reliable audit log streaming, and author ADRs as the data plane evolves.

Build and maintain Back of House data delivery and related BOH projects using AWS serverless technologies. Write code and unit tests, collaborate with SRE/QE/security/product teams across Yum! Brands, document data flows, and improve tooling and processes to increase restaurant operational efficiency and data integrations.