Top Platform Engineer Jobs in Seattle, WA

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 cloud infrastructure, EKS, AWS systems, CI/CD pipelines, preview environments, observability, security, and compliance. Build developer tooling and internal applications, while leading AI adoption across Engineering through agent workflows and custom solutions. Support product analytics and data science pipelines, collaborate closely with internal stakeholders, and maintain platform reliability end to end.

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.

Manage, administer, enhance, and optimize enterprise ServiceNow environments across development, test, and production. Responsibilities include upgrades, patches, cloning, releases, security configuration, MID Server and API integrations, monitoring, troubleshooting, disaster recovery, automation, ServiceNow development, documentation, and operational support. The role partners with infrastructure, cloud, security, networking, and application teams while providing technical leadership and mentoring.

Own and scale a multi-cloud data platform across AWS and Azure. Manage Apache Airflow, Kubernetes, Terraform, Helm, ArgoCD, CI/CD, observability, big data infrastructure, governance tooling, and FinOps initiatives. Provide end-to-end architectural and operational ownership, improve developer tooling, define platform roadmaps, manage incidents, enforce engineering standards, and mentor data platform engineers.

Own Anthropic’s endpoint platform, including MDM infrastructure, macOS and mobile configuration as code, patching, zero-touch provisioning, telemetry, compliance controls, and automation. Operate the platform as a production service with observability, incident response, progressive rollouts, and rollback. Partner with Security, developer, and infrastructure teams on endpoint hardening and trusted-device access. Support Linux systems, document platform operations, and provide advanced escalation support.

Architects, operates, and improves cloud data and analytics platforms and BI infrastructure. Owns platform standards, CI/CD, reliability, monitoring, incident response, security, governance, performance, and technical documentation. Leads onboarding and enables engineering and client teams through reusable patterns and guardrails. Requires production platform ownership, cloud data and BI expertise, accounting experience, scripting, SQL, troubleshooting, and cloud fundamentals.

Build and launch scalable fullstack web applications and APIs for Affirm’s Ads Platform. Collaborate with product, design, analytics, and engineering partners to break projects into deliverable phases, make technical trade-offs, write tested and extensible code, monitor service metrics, support on-call operations, review code, and participate in team development and interviews.

Build and own Arcadia’s internal developer platform across a large-scale data lakehouse and Kubernetes applications. Develop self-service APIs, templates, golden paths, CI/CD capabilities, observability, security controls, and reliability practices. Lead platform migrations, improve developer experience, manage stakeholder needs and costs, set technical direction, and coach senior engineers. The role requires hands-on software development alongside expertise in cloud infrastructure, Kubernetes, networking, infrastructure as code, SLOs, incident response, and platform product management.

Lead the strategy, architecture, development, and operation of company-wide data and AI platforms. Drive scalable data platform solutions, technical direction, architecture standards, multi-geographical pipelines, ETL frameworks, metrics stores, infrastructure, and data security. Mentor engineers and scientists, influence technology roadmaps, collaborate across teams, and promote technical excellence. The role also involves designing modern lakehouse systems, evaluating technologies, and building reliable high-performance services and frameworks.

Build, monitor, and scale resilient cloud infrastructure across multi-region and multi-cloud environments. Develop Kubernetes controllers and infrastructure tools using Go, Python, Ruby, and Terraform; maintain Datadog observability; diagnose complex production performance and reliability issues; automate failover and capacity management; and collaborate with engineering teams on architecture and infrastructure improvements.

Lead the design, development, and operation of highly available, multi-tenant data platform services on Kubernetes, including Postgres, messaging, streaming, and key-value systems. Define distributed-systems architecture, failover, disaster recovery, scalability, observability, and SLOs. Build operators, controllers, automation, and self-service APIs; lead major technical initiatives; resolve reliability risks; collaborate across engineering teams; and mentor engineers.

Build and operate cloud-native data platform components and services, including Kubernetes operators, controllers, automation, and platform services. Lead technical projects from requirements through production, ensuring reliability, scalability, observability, testing, and operational readiness. Collaborate with senior engineers on architecture and standards, participate in on-call, and mentor junior engineers. The role requires extensive Kubernetes, hyperscaler, Go, container, CI/CD, GitOps, and infrastructure-as-code experience.

Builds, validates, troubleshoots, and publishes Jetson OS images for NVIDIA robotics platforms. Responsibilities include kernel, BSP, driver, package, firmware, and hardware bring-up support; boot, peripheral, stability, and compatibility testing; serial debugging; and resolving build or OS issues. The engineer develops Bash or Python automation, maintains documentation, improves workflows, and collaborates with robotics and platform teams. The role is performed in-office with occasional travel.

Lead full-stack development for Huntress’s SOC platform, building analyst-facing investigation, triage, remediation, queueing, and customer reporting experiences. Shape architecture, data models, interfaces, security practices, reliability, observability, and testing while mentoring engineers and partnering with Product, UX, and SOC stakeholders. The role emphasizes Ruby on Rails, modern frontend development, cloud infrastructure, relational databases, and technical leadership across complex cybersecurity software products.

Lead development productivity initiatives by building secure, scalable CI/CD infrastructure, automated delivery pipelines, self-service developer tooling, reproducible builds, and self-healing test environments. Improve local development, release processes, system reliability, and engineering standards across SaaS, mobile, and embedded products. Mentor engineers, guide platform direction, and collaborate with stakeholders across the organization.

Build and lead the development productivity platform supporting SaaS, mobile, and embedded products. Responsibilities include creating automated CI/CD and release pipelines, improving developer environments and self-service tooling, building reliable infrastructure and testing systems, optimizing platform performance, and establishing engineering standards. The role also includes defining team direction, mentoring engineers, and driving adoption through collaboration, demos, and technical sessions.

Own and operate core platform systems for hosted agent orchestration, including Beads Team Server, cloud-based Gas City, billing, permissions, and SSO. Design for distributed state, concurrency, reliability, observability, backups, security, and production failure recovery. Build primarily in Go across storage, runtimes, containers, and cloud infrastructure while collaborating closely with the CTO and startup team.

Build and operate Resend’s scalable AWS platform, infrastructure, tooling, and self-service workflows. Responsibilities include infrastructure as code, platform standards, observability, reliability improvements, incident response, automation, and collaboration with engineers across the company. The role requires expertise in distributed systems, cloud infrastructure, networking, delivery pipelines, and production operations, with opportunities to work on high-throughput systems and developer tooling.

Owns an Agentic AI platform across CI/CD, AWS infrastructure, Kubernetes operations, observability, security, and runtime reliability. Builds delivery pipelines, automated testing and quality gates, EKS environments, infrastructure-as-code, monitoring and alerting, synthetic health checks, and runtime security testing. The role requires strong operational ownership, troubleshooting, secure supply-chain practices, audit readiness, and platform resilience in regulated or mission-focused environments.

Design, build, and operate distributed platform services and APIs using TypeScript and Go. Improve scalability, reliability, observability, and cost efficiency; develop data-intensive workflows and event-driven pipelines; manage SLIs/SLOs, incident response, CI/CD, and production releases. Partner with product teams on end-to-end delivery, write design documents and tests, and participate in on-call rotations for large-scale systems.

Develop and maintain Microsoft Power Platform solutions, including Power Apps, Power Automate workflows, and Power BI dashboards. Integrate applications with Azure DevOps, Microsoft 365, Azure, and other data sources. Translate business requirements into scalable applications, reporting, and automation supporting portfolio management and program operations. Troubleshoot performance and integration issues, manage development priorities, collaborate with stakeholders across programs, and provide documentation and enablement. Apply SAFe portfolio and execution concepts to support leadership visibility and delivery tracking.

Develop and maintain scalable Salesforce solutions using Apex, Lightning Web Components, declarative automation, and REST/SOAP integrations. Build secure platform integrations with Platform Events and Named Credentials, manage source-controlled deployments through SFDX and CI/CD pipelines, enforce Salesforce security and governor-limit best practices, and provide testing, documentation, stakeholder collaboration, and production support.

Build and operate Python and FastAPI platform services powering healthcare workflows, while developing end-to-end frontend features with JavaScript, TypeScript, and React. Responsibilities include API design, data modeling, system integrations, reliability, observability, performance improvements, code reviews, mentoring, and project ownership from design through launch. The role partners with product, design, and engineering teams to deliver secure, maintainable, accessible solutions.

Lead the architecture and evolution of Plenful’s frontend UX platform, including shared components, design system foundations, developer tooling, and reusable infrastructure. Build user experiences with TypeScript and React, integrate APIs using Python and FastAPI, and establish standards for accessibility, performance, testing, and maintainability. Collaborate with design, product, and engineering teams, mentor engineers, review technical designs, and drive frontend improvements across multiple teams.