Top Cloud Engineer Jobs in Seattle, WA

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

Designs and maintains Azure, Microsoft 365, and hybrid cloud platforms, including landing zones, governance, monitoring, identity, networking, security, backup, resiliency, and cost controls. The role establishes engineering standards, automates configuration and onboarding, improves operational readiness, documents procedures, collaborates across infrastructure and security teams, and mentors engineers. Requires extensive Microsoft cloud administration and platform engineering experience.

Designs, deploys, and operates secure, scalable Azure cloud platforms and production workloads. Responsibilities include Azure architecture, infrastructure-as-code, networking, identity, AKS, data services, CI/CD, observability, cost optimization, disaster recovery, security, and automation. The role collaborates with application, security, and SRE teams; leads architecture reviews; mentors engineers; and supports cloud-native solutions and operational excellence.

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.

Develop and operate SAP BTP side-by-side extensions, standalone applications, integrations, event-driven solutions, and AI use cases. Build SAP Fiori/UI5 interfaces, OData services, and CAP applications using Node.js or Java. Deploy on Cloud Foundry and Kyma, implement security, CI/CD, multi-tenant SaaS capabilities, clean-core S/4HANA extensions, monitoring, documentation, and post-go-live support.

Design, develop, deploy, monitor, and support enterprise integrations using Oracle Integration Cloud. Connect Oracle Cloud Applications, on-premises systems, and third-party platforms through REST, SOAP, FTP, and other adapters. Build process automation and Visual Builder applications, implement API management and secure integration patterns, optimize high-volume workflows, migrate legacy SOA integrations, and provide troubleshooting, documentation, post-go-live support, and mentorship.

Implement, automate, and maintain multi-cloud infrastructure and services. Build CI/CD pipelines and infrastructure-as-code, develop automation scripts and tooling, monitor performance and cost, troubleshoot issues, and document architecture and operational decisions while partnering with product and engineering teams to improve scalability, reliability, and security.

Operate and improve Azure-hosted SaaS infrastructure across multiple environments. Responsibilities include Terraform-based provisioning, GitHub Actions CI/CD, monitoring and observability, AI service operations, incident response, security and identity management, database, storage and messaging operations, cost optimization, disaster recovery, and operational documentation. The role partners with engineering teams to ensure reliable, secure, scalable, and cost-efficient production systems.

Build and operate foundational infrastructure for Temporal Cloud, focusing on high availability, disaster recovery, control-plane automation, database performance, deployment systems, and CI/CD. Design scalable multi-tenant SaaS systems, improve reliability and resilience, optimize PostgreSQL and related data platforms, and develop infrastructure tools, APIs, and operational automation for safer, faster releases.

Design, build, and maintain scalable AWS and Azure infrastructure using Infrastructure-as-Code. Develop automation, deployment pipelines, and production release processes. Contribute code to cloud services, manage networking and IAM, ensure availability and security, and respond to incidents while collaborating on observability and security practices.

Designs, deploys, maintains, and optimizes cloud network infrastructure across AWS, Azure, and Google Cloud. Responsibilities include architecting highly available and scalable networks, configuring VPCs, subnets, transit gateways, VPNs, CDNs, and load balancers, troubleshooting complex network issues, analyzing traffic and security risks, automating infrastructure, and leading network architecture initiatives. The role supports enterprise technical teams and requires DHS EOD clearance eligibility.

Design, develop, and maintain scalable cloud cost and efficiency monitoring systems. Build automation for monitoring, alerting, and root cause analysis; optimize data ingestion, storage, and query performance; and collaborate cross-functionally to improve operational visibility. The role requires troubleshooting complex production systems, supporting high availability and reliability through on-call participation, contributing to distributed-systems best practices, and driving strategic, measurable-impact engineering projects.

The Senior Production Engineer will scale AI infrastructure, manage production systems, implement monitoring capabilities, and ensure reliability and performance across NVIDIA's AI clusters.

Design, implement, and operate networking infrastructure for Azure Dedicated private and hybrid cloud environments. Responsibilities include hybrid connectivity, ExpressRoute, SDN solutions, third-party platform integration, network performance and security optimization, live-site operations, automation, observability, troubleshooting, and enabling migration and disaster recovery scenarios.

Own the architecture and development of critical backend and cloud platform domains. Design scalable, secure, multi-tenant distributed systems on AWS, including event-driven services, APIs, data models, and AI/ML infrastructure. Lead major initiatives from design through release, align cross-functional stakeholders, establish engineering standards, mentor engineers, and drive reliability, observability, security, and cost-efficiency improvements.

Design, deploy, and maintain secure AWS/Azure GovCloud environments; implement IaC (Terraform/CloudFormation/ARM), IAM/RBAC/ZTA, cloud networking (VPC, VPN), container orchestration, monitoring, cost tracking, and ATO/RMF/NIST/FedRAMP compliance. Coordinate cross-Work Order resource allocation and reporting.

Develop and deploy Salesforce Marketing Cloud solutions: build email templates and web pages (HTML/CSS/JS), write AMPScript/SSJS/WSProxy, manage Automation Studio and Journey Builder, create integrations via REST/SOAP APIs, design data models with SQL and data extensions, document setups, and collaborate across teams while owning technical decisions.

Provides technical support for global customers using Akamai’s cloud and distributed network platform. Diagnoses and resolves cloud, networking, and performance issues; investigates technical problems, proposes preventative solutions, improves support processes and metrics, and collaborates with internal teams to ensure customer success.

Provide Tier 1 support for complex cloud platforms, troubleshoot distributed software and customer issues, investigate root causes, improve operational workflows, create runbooks and documentation, build support tooling, and coordinate with engineering, SRE, and other internal teams. The role supports production systems through an on-call rotation and requires expertise across cloud infrastructure, networking, storage, Kubernetes, Linux, and DevOps tooling, with GPU, MLOps, HPC, or SLURM experience preferred.

Migrate and maintain complex data flows in AWS cloud environments. Develop infrastructure as code using Python, Ansible, CloudFormation, CDK, or Terraform; support CI/CD pipelines, DevOps practices, containers, file transfer and MQ services; troubleshoot and tune cloud environments; and coordinate integration requirements with stakeholders. The role supports a federal financial customer and requires U.S. citizenship and the ability to obtain and maintain an agency security clearance.

Designs, builds, and operates secure, scalable AWS and Azure cloud infrastructure across multi-account environments. Develops Infrastructure as Code, CI/CD pipelines, automation, observability, and IAM governance. Supports production reliability, incident response, FinOps, FedRAMP and HIPAA compliance, and AI-assisted engineering practices. Partners with product, security, and engineering teams to establish cloud standards, guardrails, and reference architectures.

Owns the design, operation, resilience, security, and migration of HealthEdge’s hybrid cloud infrastructure across AWS, Azure, GCP, and on-premises environments. Responsibilities include Infrastructure as Code, disaster recovery, Kubernetes/EKS, IAM, server administration, CI/CD automation, monitoring, incident response, vulnerability management, compliance controls, cost governance, and technical documentation. The role participates in on-call support, leads infrastructure incident resolution, and guides teams on migration and recovery design.

Lead the migration and maintenance of complex data flows into AWS cloud environments. Develop infrastructure as code and cloud service logic using Python, Ansible, CloudFormation or CDK, while supporting CI/CD pipelines, file transfer and messaging services, monitoring, troubleshooting, performance tuning, and documentation. Coordinate integration requirements with stakeholders and maintain secure, compliant federal cloud solutions.

Design, implement, automate, and operate enterprise AWS cloud infrastructure for analytics and data engineering workloads. Build Databricks platforms, Infrastructure-as-Code modules, CI/CD pipelines, secure cloud environments, observability frameworks, and multi-account governance strategies. Optimize reliability, scalability, performance, and cost while guiding engineering teams, leading architecture decisions, and advising clients on cloud and DevOps best practices.

Lead hands-on migration and modernization of on-premises infrastructure to AWS and Azure. Build multi-cloud platforms, automate with infrastructure as code and scripting, optimize FinOps, and establish SRE practices. Ensure global performance, resiliency, disaster recovery, observability, security, identity, and regulatory compliance for behavioral health data. Partner with Engineering, Product, and Security, manage migration vendors, improve delivery practices, and mentor engineers.