Top Remote Senior Level DevOps & Platform Engineering Jobs in Seattle, WA

Build and maintain developer platform tooling, automation, CI/CD, and Go-based CLI to improve developer productivity, reliability, and scalability for Huntresssecurity products. Implement AI-enabled workflows, support deployments in Azure and containerized environments, and collaborate with product teams to optimize architecture and operations.

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

As a Lead Infrastructure Engineer, you'll enhance database reliability, automate infrastructure, collaborate on initiatives, and participate in on-call duties.

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.

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

Own and maintain native C++ build systems for autonomous aircraft. Improve developer velocity by reducing build/test cycle time, integrate CI with HIL and simulation, implement monitoring and alerts, troubleshoot build/test failures, and collaborate with engineers to design and deploy DevEx/DevOps solutions.

Own and harden core platform infrastructure on GCP, build and maintain CI/CD and IaC, unify logging and observability, enforce network and environment isolation, improve developer productivity and tooling, and help define platform engineering direction and culture.

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.

Lead development of AI-assisted reliability tooling, own incident response end-to-end, improve observability and SLO/SLI frameworks, scale single-tenant SaaS operations, mentor engineers, and reduce recurring operational toil through engineering and automation.

Own and operate production-grade Kubernetes infrastructure on AWS, build GitOps CI/CD with GitHub Actions and ArgoCD, develop AI agents and internal DevOps tooling, maintain Datadog-based observability, and manage on-call incident response while collaborating with engineering teams to improve reliability and delivery speed.