Top Platform Engineer Jobs in Seattle, WA

Build and operate GM’s internal cloud platform, including self-service infrastructure, APIs, CLI and MCP tools, Kubernetes runtime capabilities, multi-region reliability, and automated delivery workflows. Define technical direction, eliminate developer toil, establish golden paths, improve SLOs and observability, partner with SRE on incidents, mentor engineers, and collaborate with application teams to improve developer experience.

Build testing tools, frameworks, metrics, and standards for Cedar’s engineering teams. Improve test-suite reliability, speed, coverage, service-to-service testing, and CI/CD integration. Establish testing best practices, connect tests to product behavior, and lead quality-improvement projects from investigation through adoption. The role requires strong software development and testing expertise in Python and JavaScript/TypeScript, with experience using modern testing frameworks and measuring test performance and reliability.

Own and improve Dropbox’s Windows endpoint platform, including provisioning, application delivery, patching, compliance, security configuration, troubleshooting, fleet health, and automation. Build code-managed endpoint operations using Intune, FleetDM, osquery, infrastructure-as-code, and GitOps practices. Lead cross-functional improvements, establish reliable deployment workflows, mentor engineers, review code and designs, and document reusable operational practices.

Lead architecture and implementation of reliability improvements across CrowdStrike's cloud-native platform. Build shared libraries and services, drive observability and SLO practices, perform performance and cost optimization, run resilience engineering and chaos experiments, automate infrastructure-as-code, mentor engineers, and embed with product teams to deliver scalable, highly reliable distributed systems at organizational scale.

Provides hands-on technical leadership for enterprise Data Trust platforms. Designs and operates distributed systems supporting data contracts, metadata, lineage, quality, privacy, access controls, reliability, and semantic context for analytics and AI. Leads batch and streaming capabilities across Snowflake, AWS, and Kafka; establishes observability, SLOs, automated enforcement, and operational rigor. Drives cross-functional architecture and multi-quarter initiatives while mentoring engineers and building reusable platform standards.

Build and operate foundational platform services, libraries, and tooling for large-scale distributed systems. Lead reliability, scalability, observability, performance, resilience, cost optimization, and infrastructure-as-code initiatives across product teams. Define SLOs and error budgets, resolve complex incidents, improve architecture, mentor engineers, and influence organization-wide technical decisions. The role involves hands-on backend engineering, production coding, multi-cloud platforms, and automation to eliminate operational toil.

Leads development of secure, scalable cloud platforms optimized for AI and machine learning workloads. Designs and operates Kubernetes and containerized infrastructure, builds CI/CD and infrastructure-as-code automation, and optimizes cloud performance and costs. Partners with AI teams to translate compute needs into platform requirements, promotes observability and operational stability, and guides adoption of secure, responsible AI-assisted software development practices across engineering teams.

Own the architecture and technical direction of a high-volume recognition platform spanning edge ingestion, identity resolution, real-time decisioning, notifications, and operator tools. Lead streaming pipeline design, privacy and consent models, observability, reliability, testing, progressive delivery, RFCs, cross-functional alignment, and mentorship. Build systems that combine deterministic rules with probabilistic computer vision signals under physical-world deployment constraints.

Lead architecture and delivery of a secure, low-latency Kubernetes-based compute platform for AI agents and untrusted workloads. Own isolation, scheduling, lifecycle, networking, policy, observability, and control-plane capabilities across GCP and AWS. Drive cross-team outcomes from design to adoption, improve developer experience via APIs and automation, and champion reliability, security, performance, and cost efficiency while mentoring engineers and setting technical direction.

Architects, automates, tests, deploys, and maintains highly available Kubernetes infrastructure across cloud, on-premises, offline, and secure environments. Owns Kubernetes deployment strategy, DevSecOps practices, secure networking, monitoring, performance, availability, and compliance. Collaborates with software engineers and customers on architecture deployments, cloud-native services, CI/CD, infrastructure as code, and distributed systems within an Agile Scrum environment.

Build and maintain endpoint platforms for Windows, macOS, iOS, and Android using Intune, MDM, automation, scripting, APIs, Git, and CI/CD pipelines. Responsibilities include endpoint security and compliance, application deployment, patching, monitoring, troubleshooting, incident response, root-cause analysis, and configuration-as-code practices. The role collaborates with security, identity, infrastructure, SRE, service desk, and productivity teams while improving endpoint reliability and reducing manual processes.

Build and lead Slack’s agentic analytics data platform, spanning ingestion, infrastructure, semantic layers, APIs, and developer tools. Drive systems from prototypes through production, balancing freshness, accuracy, reliability, and cost. Partner across data engineering, data science, infrastructure, product, and developer experience teams. Lead complex technical initiatives, improve architecture and adoption, mentor engineers, and establish reliable tools for analytics, query generation, root cause analysis, and AI-agent data access.

Design and build foundational web services, service mesh infrastructure, developer tooling, CI/CD automation, and highly reliable distributed systems. Architect scalable APIs and data consistency patterns, optimize high-throughput systems, establish observability and reliability practices, and mentor engineers. The role supports millions of transactions across mobility products and requires collaboration across application, infrastructure, and advanced technology teams.

Own Anthropic’s ChromeOS platform end to end, including device standards, Google Admin and Chrome Enterprise policies, policy-as-code automation, zero-touch enrollment, international procurement, security controls, telemetry, lifecycle management, and vendor access models. Support Android Enterprise as a second platform, collaborate with IT, Security, and procurement teams, and create runbooks for vendor programs.

Develop and maintain Microsoft Power Platform solutions for a federal client, including Power Apps, Power Automate workflows, Power BI reporting, and SharePoint repositories. Manage records, conference requests, and SOP processes through automated intake, routing, approvals, audit trails, permissions, and reporting. Collaborate with stakeholders on requirements, demonstrations, and iterative delivery within an agile sprint model while maintaining data integrity, governance, and compliance.

Designs, implements, and deploys scalable software, cloud, identity, and platform solutions. Leads engineering projects, develops architectures and system improvements, resolves complex technical issues, documents designs, evaluates technology strategies, and mentors engineers. The role influences organization-wide technology and policy decisions while supporting highly available environments and improved operational efficiency.

Designs, operates, and improves production Kubernetes platforms across cloud environments. Manages ArgoCD GitOps workflows, Terraform infrastructure, CI/CD integrations, platform reliability, observability, security controls, and developer enablement. Collaborates with application teams to onboard services, create self-service tooling and documentation, respond to incidents, and improve platform availability and performance.

Own and evolve BYOC deployment infrastructure for Archie across customer environments. Build and operate Kubernetes-based systems across multiple clouds, develop Helm and GitOps deployment tooling, implement secure updates for restricted networks, and improve reliability, observability, and production operations. Collaborate with product, research, and forward-deployed engineering teams to translate requirements into scalable platform capabilities.

Leads platform engineering initiatives supporting cloud-native application teams. Designs and operates highly available systems, CI/CD pipelines, infrastructure automation, Kubernetes platforms, observability, security tooling, and developer enablement workflows. Provides architectural guidance, technical leadership, escalations, and mentorship while improving reliability, delivery velocity, and engineering standards across teams.

Lead the design, development, reliability, scalability, and operational excellence of Humana’s Next Best Action platform. Build platform services, automated testing, observability, resilience, and production-readiness capabilities across distributed systems. Write production code, manage and mentor engineers and contractors, establish quality standards, and coordinate with platform, data, decisioning, orchestration, and activation teams. Ensure high performance, traceability, fault tolerance, and compliance in a regulated healthcare environment.

Lead the architecture, security, and operation of Maestro’s multi-tenant AI platform on private GKE. Build Kubernetes operators, isolated per-user runtimes, identity and credential systems, service-mesh security, Terraform infrastructure, CI/CD, observability, audit pipelines, fleet operations, and human approval guardrails. Partner on safe agent integrations, establish platform and security standards, mentor engineers, and guide infrastructure strategy as the system scales.

Build and operate an AI-native platform spanning Kubernetes, infrastructure as code, CI/CD, identity, networking, security, compliance, observability, and cost management. Develop reusable platform modules, delivery pipelines, policy gates, isolated client environments, and AI development tooling. Lead through hands-on engineering, architecture decisions, design reviews, migrations, documentation, and developer enablement while ensuring reliability, security, and measurable developer outcomes.

Leads platform reliability engineering for the MANTL application, investigating complex failures, improving observability, performance, resilience, and deployment systems. Owns reliability risk roadmaps, monitoring, distributed tracing, CI/CD architecture, Kubernetes troubleshooting, fault-injection testing, SLOs and SLIs. Sets technical direction, establishes standards, mentors engineers, documents remediation practices, and serves as the senior escalation point for cross-functional reliability issues.

Build and operate a multi-tenant platform encompassing Kubernetes infrastructure, infrastructure-as-code, shared CI/CD pipelines, security and compliance controls, observability, identity, networking, and cost visibility. Establish reusable platform standards, enforce software supply-chain security, support AI development environments, and drive adoption across product teams. Provide technical leadership through architecture decisions, proof of concepts, code reviews, documentation, and migration support.

Leads platform architecture and hands-on infrastructure engineering across multi-tenant Kubernetes, infrastructure as code, CI/CD, cloud identity, security compliance, observability, and AI development environments. Designs scalable runtime, networking, identity, policy, and delivery systems while enforcing isolation and auditability. Owns strategic architecture decisions, reliability and security evidence, developer outcomes, and technical mentorship.