Top Cloud Engineer Jobs in Seattle, WA

Designs, implements, and operates hybrid, multi-cloud network infrastructure across AWS, Azure, GCP, and on-premises datacenters. Responsibilities include hub-spoke architectures, cloud interconnects, BGP routing, hybrid DNS, firewalls, Terraform infrastructure-as-code, Python automation, SRE ownership, on-call support, incident analysis, technical documentation, and mentoring associate engineers.

Build and operate GM’s internal cloud platform, including self-service infrastructure, APIs, CLI and MCP tools, Kubernetes runtime capabilities, multi-region reliability, and automated delivery workflows. Define technical direction, eliminate developer toil, establish golden paths, improve SLOs and observability, partner with SRE on incidents, mentor engineers, and collaborate with application teams to improve developer experience.

Leads cloud platform engineering, including secure infrastructure design, developer experience, CI/CD modernization, self-service workflows, observability, and platform tooling. Provides technical leadership, aligns roadmaps with business priorities, and improves engineering productivity through automation and AI-assisted development. Builds AI agents and Model Context Protocol integrations using Google ADK and Anthropic SDKs.

This role involves developing and maintaining CI/CD pipelines, enhancing deployment processes, ensuring infrastructure reliability, and promoting best practices within the AIDR platform team.

Designs, operates, and improves production Kubernetes platforms across cloud environments. Manages ArgoCD GitOps workflows, Terraform infrastructure, CI/CD integrations, platform reliability, observability, security controls, and developer enablement. Collaborates with application teams to onboard services, create self-service tooling and documentation, respond to incidents, and improve platform availability and performance.

Designs, develops, integrates, and deploys Salesforce solutions for event management, expense processing, approvals, tracking, and reporting. Responsibilities include requirements gathering, workflow optimization, security configuration, troubleshooting, root cause analysis, Agile development, testing, deployments, documentation, and user training. The role requires hands-on Salesforce development, platform lifecycle expertise, integrations, DevOps practices, and collaboration with technical and non-technical stakeholders.

Designs and maintains Azure enterprise data infrastructure using Terraform and CI/CD pipelines. Implements multi-plane architectures, hybrid Azure-Google Cloud networking, secure platform services, Kubernetes workloads, identity and access controls, and centralized monitoring. The role supports Airflow, Milvus, Neo4j, GPU workloads, and healthcare-compliant environments with HIPAA, PHI, encryption, data residency, and secure SDLC requirements.

Designs, deploys, and maintains secure, scalable AWS infrastructure using Terraform and GitLab CI/CD. Supports applications and managed-service users, monitors environments, troubleshoots incidents, manages IAM, and improves reliability through automation, observability, backups, upgrades, and disaster recovery practices. The role also documents environments, supports audits, collaborates with engineering and security teams, and participates in on-call operations.

Operate and improve production cloud infrastructure across Azure and AWS. Implement cloud security controls, vulnerability remediation, monitoring, incident response, and SOC 2 compliance processes. Automate operations with scripting, Terraform or Bicep, and CI/CD pipelines. Support reliability, cost optimization, infrastructure integrations, documentation, and on-call resolution for mission-critical SaaS products.

Design, deploy, secure, and maintain scalable AWS infrastructure using Terraform and GitLab CI/CD. Provide application and cloud support, monitor systems, troubleshoot incidents, manage IAM, perform maintenance and backups, improve observability and reliability, and guide cloud architecture and deployment decisions. Collaborate with engineering, security, data, and infrastructure teams while supporting audits, documentation, disaster recovery, and on-call operations.

Designs, deploys, and maintains scalable, secure AWS infrastructure for customer projects, including migrations, landing zones, containerized applications, serverless systems, and infrastructure as code. Builds CI/CD automation, monitoring, logging, disaster recovery, and security controls; optimizes cost and performance; troubleshoots Linux, Windows, Kubernetes, and AWS environments; documents solutions; and communicates with clients and cross-functional teams throughout delivery engagements.

As a Software Developer in Test, you will validate cloud-side software, enhance automated test coverage, and improve product quality in a collaborative team.

Owns the architecture, automation, security, reliability, and operation of AWS cloud infrastructure. Responsibilities include infrastructure-as-code, CI/CD, backup and disaster recovery, data architecture, observability, security guardrails, workflow automation, distributed-systems troubleshooting, and AI DevOps practices. The role partners with engineering, security, and compliance teams to improve platform reliability, developer velocity, and responsible operation of AI-enabled systems.

Own and administer Zeno’s AWS-based engineering computing environment, including cloud workstations, HPC resources, storage, networking, access, licensing, and specialized engineering applications. Translate engineering needs into technical requirements, support users, manage software procurement, troubleshoot infrastructure and licensing issues, and maintain security and compliance documentation. The role is hybrid in Seattle, requires less than 10% travel, and has a six-month contract duration.

Build, automate, secure, and maintain Google Cloud environments for a federal health customer. Responsibilities include managing Compute Engine, GKE, Cloud Run, networking, IAM, Terraform modules, CI/CD pipelines, monitoring, logging, troubleshooting, and compliance documentation. The role is fully remote and requires support for federal security and operational frameworks.

Lead design, development, testing, and deployment of cloud-native full‑stack applications and microservices. Provide technical leadership, mentor engineers, implement CI/CD and automated tests, and drive modernization using GCP or similar cloud platforms, containers, and enterprise security best practices.

Lead the architecture and development of scalable APIs, control planes, workflow orchestration, and fleet lifecycle automation for NVIDIA DGX Cloud. Drive integration across cloud systems, Kubernetes, Slurm, and observability platforms while improving reliability and reducing manual operations. Provide technical leadership, mentor senior engineers, influence organizational strategy, and deliver high-scale distributed infrastructure for AI and cloud computing.

Provides principal-level technical leadership for global cloud network validation, automation, reliability, live-site operations, and AI engineering. Designs vendor-agnostic testing frameworks, quality gates, CI/CD deployment systems, observability, rollback, drift detection, and self-healing mechanisms. Leads complex network incident investigations, establishes operational standards, drives architectural decisions across engineering and operations teams, mentors engineers, and develops AI-assisted capabilities for network troubleshooting and automation.

Develop and operate highly available cloud infrastructure and distributed backend systems across large public cloud environments. Build automation tools, infrastructure-as-code, microservices, and containerized platforms; troubleshoot complex production issues; improve reliability, resilience, and performance; manage technical debt; and participate in on-call support. The role focuses on DNS, cloud architecture, Linux systems, network technologies, CI/CD, monitoring, and large-scale infrastructure delivery.

Supports reliable, secure, and scalable cloud infrastructure across AWS, GCP, Azure, and OCI. Builds self-service cloud tooling, applies security and IAM best practices, automates infrastructure with Python and Terraform, monitors system performance, collaborates with development and operations teams, and participates in an on-call rotation for critical cloud services.

Develop and optimize resilient, large-scale cloud services supporting AI training workloads. Design Kubernetes-orchestrated microservices, APIs, job submission abstractions, lifecycle automation, checkpointing, telemetry, and failure recovery systems. Collaborate on distributed systems spanning cloud and on-premises AI clusters, integrating with NVIDIA resiliency infrastructure and HPC platforms. The role requires backend development experience, cloud and container expertise, and familiarity with AI frameworks, schedulers, GPUs, and high-performance computing.

Design and lead the next generation of Azure’s global network across optical, packet, and control layers. Drive hardware disaggregation, optical networking, simulation, robotics, AI-enabled engineering, and physical infrastructure automation from concept through global production. Collaborate with engineering, hardware, supply chain, datacenter operations, research teams, and external vendors while mentoring engineers and influencing senior stakeholders.

Designs and delivers SDKs and command-line interfaces for cloud GPU services. Responsibilities include defining requirements with partners and cross-functional teams, shaping technology and implementation methods, writing high-quality tested code, performance tuning, usability improvements, automation, maintenance, and documentation. The role focuses on distributed computing, highly available microservices, and cloud platforms supporting deep learning and AI.

Lead architecture, development, scaling, and reliability for SingleStore Helios, a multi-cloud SaaS platform. Design Kubernetes operators, controllers, networking, routing, and distributed control planes across AWS, Azure, and GCP. Build resilient Go and Python systems, support AI and vector workloads, resolve complex Tier-3 production incidents, and maintain compliance controls. Mentor engineers, author architecture documents, and influence cross-functional technical strategy.

Build and operate backend services and data pipelines for Temporal Cloud, including namespace provisioning, audit logs, and export. Responsibilities include designing scoped features, improving scalability and reliability, managing high-volume multi-tenant data, and enhancing observability through testing, instrumentation, dashboards, alerts, and runbooks. The role involves code reviews, incident response, production debugging, cross-functional collaboration, and continuous improvement of developer and customer experiences.