Top Infrastructure Engineer Jobs in Seattle, WA

Join the cloud and data center infrastructure team focusing on distributed systems, system integration, and open source contributions, while using CI/CD and DevOps methodologies.

The Cloud Infrastructure Engineer will design and operate AWS and multi-cloud infrastructures, manage Kubernetes applications, and ensure system reliability. Responsibilities include developing CI/CD pipelines, implementing observability systems, and debugging production issues in distributed environments.

Design and implement solutions for managing a global server fleet, utilizing Go and Python, while working with Kubernetes and automation tools.

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

Design and deploy global Starlink antenna sites and hardware, develop rapid deployment processes, collaborate cross-functionally, travel internationally for site build-out plans, and ensure long-term site reliability and system performance.

Design, build, and operate a secure, high-performance agent sandboxing platform. Ensure isolation, reproducibility, and efficient resource use across containerized/virtualized environments. Improve developer experience (APIs, client SDKs, docs), debug and monitor production incidents, lead architecture and end-to-end projects, and collaborate with internal teams to shape roadmap and tooling.

As an Infrastructure Engineer at Railway, you will develop system-level software, focusing on distributed systems and efficiency, building scalable services using Golang or Rust, while ensuring high performance and resilience.

Design, implement, and manage hybrid on-premises and cloud infrastructure. Deploy, scale, and maintain systems with automation and IaC, troubleshoot networking and storage, monitor availability and resiliency, collaborate with security and engineering teams, document systems, participate in on-call rotations, and support project delivery and operational tasks.

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.

Build and maintain multi-cloud infrastructure standards, self-service tooling, and paved-road defaults across AWS and GCP. Partner with compute, security, and networking teams to embed guardrails, drive standardization, lead cross-team initiatives, and resolve systemic operational issues to ensure secure, scalable, and reliable platform infrastructure.

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

As an Infrastructure Engineer Consultant, you'll design, implement, and support hybrid infrastructure solutions, focusing on security, scalability, and resilience across on-prem and Azure environments.

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

Operate, maintain, and improve secure, highly available server, network, and middleware infrastructure. Install, configure, monitor, troubleshoot, automate, and document systems; support on-call rotation and disaster recovery; manage job schedulers and vendor relationships; plan capacity and upgrades; mentor junior staff and support multi-cloud workloads.

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

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 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.

The Staff Frontend Engineer will design the UI for a high-performance datacenter infrastructure platform, optimizing for speed and handling complex datasets. Responsibilities include building applications, collaborating on API design, and establishing frontend architecture.

Design, own, and maintain Azure infrastructure; build integrations and automation; serve as escalation for service desk and Microsoft app support; diagnose cross-system issues; strengthen access controls and security; document systems and dependencies; mentor engineers and improve version control, testing, and change management practices; support citizen-developed apps and automate provisioning workflows.

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.

Design, implement, and operate large-scale distributed storage systems ensuring data durability, availability, and performance. Build and maintain replication, erasure coding, and lifecycle systems; write high-quality Go/Rust/C++ code; participate in on-call rotations; troubleshoot production incidents; collaborate with networking, hardware, and capacity teams; lead scoped projects and drive infrastructure evolution.

As a Network Engineer at Deepgram, you'll optimize global network infrastructure for real-time audio streaming, focusing on latency reduction across hybrid cloud and on-premises environments.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.