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

Design, deploy, and operate enterprise network infrastructure across data centers and cloud (GCP, AWS, Azure). Manage VPCs, VPNs, BGP, F5 BIG-IP, hybrid connectivity, and observability. Build IaC and automation with Terraform, GitLab CI/CD, and Ansible. Maintain monitoring, documentation, and participate in on-call support for critical incidents.

Lead enterprise-scale cloud modernization and migration engagements to AWS, architecting end-to-end solutions, implementing IaC and CI/CD, integrating agentic AI, mentoring engineering teams, enforcing security and governance, and delivering measurable AI-driven efficiency and business value.

Lead SRE efforts for DFIN SaaS: ensure availability, performance, scalability, and automation. Implement monitoring, CI/CD, IaC, container orchestration, AI-enhanced observability, incident response, RCA, and runbook automation while collaborating across engineering teams.

Design, build, and maintain reliable infrastructure for Yext's SaaS platform, collaborating with engineering teams to enhance performance, security, and operational efficiency.

Design, build, and maintain high-throughput data ingestion and processing pipelines; integrate AI-powered infrastructure; implement and support complex computing algorithms and distributed services; own systems end-to-end including architecture, observability, reliability, and operational support; lead architectural initiatives and reduce system complexity while maintaining performance on large-scale real-time data.

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 Director of Engineering will lead platform engineering strategy and teams, enhancing developer experience, driving AI integration, and establishing governance for development practices.

Build automated reliability and self-healing platform tooling to protect production at scale. Improve incident management, reduce alert noise, evolve observability (monitoring, SLOs, performance detection), and develop AI-driven operational automation. Partner with product teams to diagnose reliability gaps, drive incident prevention, and champion operational excellence and best practices across engineering.

Design and scale distributed, high-availability systems and platform architectures. Define frameworks, tooling, and standards, contribute hands-on to prototypes and production, guide teams on reliability, observability, and operational excellence, and align technical decisions with product and business priorities.

Manage and grow a Cloud Operations Engineering team to ensure fleet reliability and customer environment health across Azure, AWS, and GCP. Own operational outcomes (SLOs, error budgets, incidents), on-call rotations, audit/compliance contributions (FedRAMP, SOC2), cloud cost management, and cross-team coordination while partnering with architects and security. Hire, develop, and report on team performance and risk to engineering leadership.