Top Infrastructure Engineer Jobs in Seattle, WA

Design, build, automate, and operate enterprise-scale Microsoft Hyper-V virtualization across global data centers. Lead architecture, performance benchmarking, full-stack troubleshooting, automation (PowerShell, DSC, APIs), C#/.NET platform development, security hardening, documentation, and mentoring to ensure resilient, high-performance virtualization services.

Lead infrastructure engineering workstreams to design, implement, and troubleshoot telecom and cloud infrastructure. Drive modernization, cloud migration, and resilience efforts; validate AI-assisted recommendations; collaborate with platforms to resolve cross-system issues and ensure secure, auditable changes.

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.

The Senior IT Infrastructure Engineer will enhance automation and integration efforts while managing cloud services, CI/CD pipelines, and Kubernetes operations.

The Senior Infrastructure Engineer will design, build, and operate crucial cloud infrastructure and developer tools, focusing on observability, reliability, and performance in a high-velocity software environment.

Lead cloud networking architecture across AWS/Azure/GCP, define reusable network standards, manage technical risk and remediation, drive compliance and incident response, establish policy-as-code guardrails, mentor engineers, and coordinate cross-functional solution designs emphasizing security, resilience, and performance.

Lead infrastructure engineering workstreams to design, operate, and modernize network and cloud infrastructure. Troubleshoot moderate-complexity problems, drive architecture and automation, partner with risk/compliance, mentor engineers, and apply AI-assisted tooling while ensuring security, resiliency, and auditability.

Lead the design, deployment, operation, and troubleshooting of optical transport networks (DWDM, ROADM, OTN). Drive projects end-to-end, provide L3/L4 escalation and on-call support, maintain runbooks/KBs, perform capacity planning, lifecycle upgrades, and use enterprise-authorized AI and automation (Python/APIs) to accelerate engineering and documentation.

Lead strategy and design for global network topologies (LAN/WAN/DC/Cloud), define requirements for planning tools, set performance KPIs, analyze capacity and performance, drive optimization initiatives, partner with carriers and software teams, support audit/compliance, and use enterprise AI to accelerate analysis while validating outputs.

Lead design, build, and optimize global network and connectivity infrastructure; manage end-to-end service delivery across the Americas; coordinate with telecom providers and vendors; drive capacity planning, reporting, AI-assisted infrastructure analysis, and mentor engineers.

The Lead Infrastructure Engineer will define and build infrastructure at Atticus, managing platforms, security, reliability, and empowering engineering teams.

In this role, you'll architect and manage distributed database systems, oversee complex migrations, optimize performance, and mentor engineers, driving operational excellence.

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.

Design, build, and run secure production infrastructure across cloud-native and air-gapped deployments. Own end-to-end platform outcomes, harden the artifact pipeline for signed releases, embed with teams to advise on security and deployment best practices, and partner with GRC on STIGs, CVE remediation, and audit readiness for classified environments.

Build, operate, and secure cloud-native and edge infrastructure including Kubernetes, artifact pipelines, application streaming, and air-gapped appliances. Partner with product, GRC, and mission owners to design, deploy, and harden systems, remediate vulnerabilities, support audits (IL5/IL6/JWICS), and ensure trusted artifact delivery across environments.

Design, build, and operate globally distributed storage systems; own code from design to release; provision and benchmark storage hardware; model failure domains; build observability, runbooks, and automation; collaborate across teams to ensure reliability, performance, and scalability.

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.

The role involves designing scalable solutions for testing infrastructure, maintaining backend services, and automating validation processes involving Kubernetes and hardware performance.

The role involves developing ML systems, designing low-latency infrastructure, and collaborating on AI/ML initiatives while ensuring reliability and performance at scale.

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.

The Cloud Infrastructure Engineer will build scalable infrastructure using Terraform, support customers, improve CI/CD pipelines, and manage multi-cloud deployments.

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.

Design, build, and maintain platform and infrastructure powering real-time AI agents. Expand analytics with ClickHouse, improve observability and monitoring, and create developer tooling, testing frameworks, and automations to increase reliability and engineering productivity at scale.

Build and improve platform infrastructure that powers realtime AI agents: analytics with ClickHouse, observability, logging, monitoring, and developer tooling to increase reliability and developer velocity at scale.

As a Staff Infrastructure Engineer, you'll define and drive strategies for cloud-based compute clusters, ensuring secure, reliable, and scalable infrastructure. Responsibilities include lifecycle management, collaborating with cross-functional teams, and mentoring engineers.