Top Infrastructure Engineer Jobs in Seattle, WA

Design, build, and operate secure cloud-native and edge infrastructure for classified and commercial environments. Own end-to-end platform outcomes, harden artifact pipelines for signed builds across cloud and air-gapped deployments, embed with product teams to advise on secure deployments, and support compliance/audit activities (STIGs, CVE remediation) to enable operation in IL5/IL6/JWICS environments.

Build and operate foundational developer infrastructure across CI, build systems, deployment orchestration, and test platforms. Improve build speed, deployment safety, test reliability, observability, and engineering productivity at scale. Own services from architecture through production, including SLOs and on-call operations. Lead cross-functional technical projects, partner with engineering teams, mentor engineers, and shape platform strategy.

Design, build, and operate foundational developer infrastructure across CI, build systems, deployment orchestration, and test platforms. Improve build speed, deployment safety, and test reliability while owning services end to end, including SLOs, observability, and on-call responsibilities. Partner with engineering teams to address platform pain points and lead cross-cutting technical projects through production.

Build and operate highly available, scalable infrastructure for WRITER’s enterprise AI platform. Responsibilities include SRE, DevOps, platform engineering, cloud infrastructure, Kubernetes, Terraform, automation, observability, incident response, post-mortems, SLOs, on-call operations, and reliability improvements. The role requires cross-functional collaboration, end-to-end ownership, systemic problem-solving, and daily use of AI-assisted development and operational tooling.

Build and operate reliable, scalable production infrastructure for GitLab’s user-facing services. Responsibilities include developing infrastructure automation and tooling, managing Kubernetes deployments, maintaining infrastructure as code, supporting CI/CD and GitOps, participating in on-call and incident response, improving observability and SLOs, troubleshooting production systems, and documenting operational practices. The role spans Intermediate through Senior Staff levels and requires strong software engineering, cloud, reliability, and asynchronous collaboration skills.

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.

Lead cloud infrastructure, DevOps, CI/CD, build tooling, release management, testing pipelines, and data infrastructure for aerospace software teams. Develop reproducible workflows spanning firmware, spacecraft software, ground systems, and cloud services. Manage versioned datasets, ML training infrastructure, cloud reliability, security, and cost. Partner with engineering and mission operations teams, resolve complex system issues, contribute to architecture, and mentor engineers. The role may be onsite in Austin or Littleton, or remote with regular travel to Austin.

Deploy, integrate, operate, and optimize high-performance NFS storage for GPU-accelerated Kubernetes and AI platforms. Configure Linux storage and networking, integrate CSI storage into k0s and K0rdent clusters, automate provisioning through Terraform/OpenTofu and GitOps, and build observability for capacity, performance, and reliability. Diagnose end-to-end storage issues across hybrid, edge, and air-gapped environments while establishing operational standards.

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.

The Senior Infrastructure Engineer will improve system reliability and efficiency, develop standards and tooling, and collaborate with engineering teams to optimize workflows and cloud infrastructure.

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.

Design and scale infrastructure for cloud and on-premises deployments supporting enterprise AI workloads. Build containerized systems, Kubernetes and Docker Compose deployments, Helm charts, CI/CD pipelines, infrastructure automation, monitoring, and security solutions. Support customer production deployments, troubleshoot distributed systems, improve developer productivity, mentor engineers, and establish infrastructure standards across engineering teams.

Owns the design, operation, and improvement of infrastructure, build and release pipelines, CI/CD, and deployment automation. The role uses Terraform, Ansible, Helm, Go, Kubernetes, and DevSecOps practices across cloud, on-premises, air-gapped, and FedRAMP environments. Responsibilities include observability, secure endpoint exposure, runtime troubleshooting, software packaging, security-tool integration, and collaboration with Product and developers to deliver secure commercial software.

Senior Cloud Infrastructure Engineer responsible for designing, building, and operating central cloud infrastructure on AWS; managing observability (Datadog), version control and CI/CD (Git/GitHub); and collaborating closely with product and engineering teams. Role requires regular on-site presence (four days/week) and contributes to platform reliability and scalability.

Own and improve Azure infrastructure while leading complex integrations, automation workflows, and cross-system implementations. Provide advanced escalation support for service desk issues, including SharePoint; diagnose interconnected platform problems; strengthen security, access controls, and system reliability; and maintain technical documentation. The role also supports internally developed applications, uses AI-assisted tools, and mentors engineers on engineering standards, testing, version control, and change management.

The Software Engineer will enhance the structured data storage layer in Superhuman Docs, ensuring database reliability, performance, and correct data handling under varying workloads. Responsibilities include improving table management, server-side query planning, and collaborating on formula and sync processes.

Own and lead Coinbase’s developer infrastructure platforms, including CI, build systems, and deployment orchestration. Set technical direction for complex cross-team initiatives, improve build and deployment performance, manage reliability and observability, and drive platform migrations and adoption. Partner with engineering leaders, operate production systems, mentor engineers, and deliver scalable tools used across the organization.

Operates and improves secure, highly available infrastructure across RHEL, Windows, Azure, and multi-cloud environments. Responsibilities include server and network installation, maintenance, monitoring, troubleshooting, patching, automation, middleware support, security, disaster recovery, vendor coordination, documentation, and on-call support. The role also leads technical projects, mentors junior staff, supports development environments, manages asset lifecycles, and participates in infrastructure planning and optimization.

Lead technical direction, design, build, and operate Snap's large-scale service and compute infrastructure. Drive platform roadmaps, reliability, observability, CI/CD, and developer experience. Act as hands-on staff tech lead across cross-functional initiatives, mentor engineers, and shape infrastructure for an AI-first future.

Join Palantir's Production Infrastructure team to design, build, and operate large-scale platforms (Kubernetes PaaS, secure deployment, observability). Own the full product lifecycle, write production-quality code, collaborate with cross-functional teams, and work directly with customers (including civil and defense partners). Paired mentoring and hands-on deployment experience included.

Interns write production-quality code for deployment, observability, and environment platforms (Rubix, Apollo, Signals). Work includes full product lifecycle, collaboration with cross-functional teams, mentor pairing, and occasional field engagement with government or defense partners.

Operate and improve large-scale NVIDIA GPU clusters across bare-metal and rented capacity. Build automation for provisioning, health checks, remediation, monitoring, scheduling, and capacity management. Own Linux images, drivers, CUDA, containers, networking, storage, and Slurm. Diagnose performance and hardware issues, evaluate GPU providers, support ML training workloads, and maintain secure infrastructure. The role also includes hardware installation, datacenter coordination, and vendor management.

Lead platform engineering for high-scale, multi-region AWS payment infrastructure. Architect immutable, highly available, self-healing systems; automate infrastructure through Terraform, GitOps, CI/CD, and Kubernetes; establish observability with Prometheus, Grafana, and OpenTelemetry; own incident management and resiliency improvements; design private connectivity; and mentor engineers while driving organization-wide platform standards.

Build and operate a secure Kubernetes-based AI/ML platform for government test and evaluation teams. Responsibilities include GPU scheduling, workload orchestration, infrastructure-as-code, GitOps, observability, capacity planning, upgrades, security hardening, compliance support, and operational documentation. The role involves restricted and disconnected environments, automated security tooling, collaboration with government and engineering stakeholders, technical leadership, and mentoring.