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.

Leads software engineering for secure, scalable cloud platforms supporting AI and machine learning workloads. Designs and deploys Kubernetes-based infrastructure, CI/CD automation, infrastructure-as-code, and cloud resource optimization. Partners with AI teams on compute requirements, oversees production stability, and promotes responsible AI-assisted development practices. Provides technical guidance, code review, troubleshooting, governance, and coaching while improving engineering delivery, security, testing, and operational outcomes.

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.

Build and evolve SailPoint’s AWS-based internal migration platform through hands-on full-stack development, cloud infrastructure, AI agents, APIs, testing, CI/CD, observability, and security. The role uses Angular, FastAPI, Python, AWS CDK, and numerous AWS services. Responsibilities include architectural contributions, mentoring engineers, troubleshooting, stakeholder collaboration, and improving automation, reliability, developer productivity, and customer migration outcomes.

Leads the strategy, design, implementation, and operation of Expedia’s cloud platform and infrastructure. Responsibilities include Kubernetes and AWS platform engineering, infrastructure as code, CI/CD, observability, security, reliability, cost optimization, capacity planning, incident response, and cloud migration. The role contributes production code, drives cross-team adoption and technical standards, collaborates with stakeholders, and mentors engineers.

Build and operate highly reliable card-issuing systems at Block, focusing on network integrations, ISO 8583 message flows, authorization, clearing, certification, mandates, and production behavior. Lead complex cross-team engineering initiatives, create conformance tooling and shared frameworks, debug protocol-level issues, collaborate directly with card networks, mentor engineers, apply AI-assisted development practices, and participate in on-call support for critical financial systems.

Build and operate highly reliable card-issuing systems at the network boundary. Responsibilities include interpreting specifications, protocols, certifications, mandates, and production behavior; developing production software and conformance tooling; analyzing network messages; driving certification cycles; influencing card networks; mentoring engineers; applying AI-assisted engineering practices; and participating in on-call support for critical financial systems.

Architect and build high-performance distributed infrastructure for batch and streaming data across global regions. Optimize state management, checkpointing, JVM performance, and exactly-once processing. Develop AI infrastructure including vector indexing, agentic workflows, and real-time data streaming. Own the full software development lifecycle, contribute to shared tooling and SDKs, and mentor engineers through technical leadership and design reviews.

Designs, builds, and operates shared cloud and private-cloud platforms across Azure and AWS. Develops infrastructure-as-code, automation, Kubernetes capabilities, CI/CD pipelines, observability, and self-service developer tooling. The role establishes reliability, security, scalability, and cost standards; supports troubleshooting, capacity planning, vulnerability remediation, disaster recovery, and lifecycle management; and leads platform initiatives through production while contributing to architecture and mentoring engineers.

Build and ship features across iOS and Android apps, including backend changes, releases, automation, testing, and architecture improvements. Own cross-platform delivery using Kotlin Multiplatform, collaborate with product and design, and improve release tooling and quality gates. Use AI coding agents responsibly while establishing safeguards and workflows. The role requires strong Kotlin and Android expertise, production experience beyond the primary platform, architectural leadership, API and entitlement familiarity, automation skills, communication, and pragmatic decision-making.

Build and operate secure, scalable AI compute platform services, including backend APIs, asynchronous workflows, Kubernetes controllers, and multi-tenant workload capabilities. The role focuses on distributed training and inference, platform reliability, observability, developer tooling, and infrastructure simplification. Responsibilities include collaborating across engineering teams, improving scalability and developer productivity, and providing technical leadership for production AI platform capabilities.

Design and build secure, scalable platform services for distributed AI training and inference. Develop backend APIs, Kubernetes controllers, orchestration systems, asynchronous workflows, multi-tenant access controls, and developer tools. Improve reliability, observability, scalability, and engineering productivity while partnering with infrastructure and AI teams. The role also provides technical leadership, mentoring, and cross-functional collaboration throughout platform development and production delivery.

Build and maintain high-throughput, low-latency distributed data systems across ingestion, storage, and retrieval. Optimize delivery pipelines, scale analytical database clusters (ClickHouse), develop GraphQL and log delivery solutions, monitor performance with observability tooling, troubleshoot production issues, and collaborate cross-functionally and with open-source communities to evolve the data platform.

Design, deploy, secure, and operate enterprise Red Hat OpenShift platforms across on-premises and cloud environments. Responsibilities include cluster lifecycle automation, multi-tenancy, networking, storage, observability, CI/CD, disaster recovery, upgrades, workload optimization, developer enablement, and platform hardening. The engineer partners with application and security teams, improves developer experience, supports compliance, and mentors junior engineers.

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.

Architects, deploys, and operates CrowdStrike’s data platform infrastructure and services. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, implementing security and access controls, developing DBT data models, cataloging assets in OpenMetadata, writing Python automation, and mentoring engineers. The role requires cloud, container orchestration, SQL, data modeling, compliance, and AI technology expertise, along with eligibility for CJIS clearance.

Designs and develops production Salesforce solutions using Apex, Lightning Web Components, Flow, JavaScript, integrations, and automation. Builds custom business logic, user interfaces, and REST/SOAP integrations while maintaining data models, sharing, platform limits, and long-term maintainability. Troubleshoots complex enterprise requirements and uses Salesforce DX for source-driven development. Requires strong hands-on Salesforce experience, Platform Developer I certification, and expertise in Apex and modern LWC development.

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

Develop and deploy a mission-critical U.S. Navy engineering application using Power Platform. Build user interfaces, forms, workflows, and application modules; integrate custom calculation engines; manage Dataverse data structures; create Power Apps and Power Automate flows; and apply Agile and ALM practices. The role supports more than 200 engineers and analysts and requires complex low-code application development, testing, maintenance, and Secret clearance.

Develops and implements Microsoft Power Platform solutions across discovery, design, development, testing, deployment, training, and support. Builds Canvas and Model-driven Power Apps, automates processes with Power Automate and UiPath, integrates data, designs Dataverse models, and supports SharePoint and Dynamics solutions. Serves as a Power Platform subject matter expert, collaborates with clients and project teams, creates technical documentation, manages governance standards, and resolves production issues.

Design, build, and manage highly available GCP platform infrastructure, including GKE, networking, storage, compute, containerization, monitoring, security, and Infrastructure as Code. Automate provisioning and CI/CD, optimize platform performance and costs, document procedures, troubleshoot issues, and mentor junior engineers. Collaborate with development, operations, and security teams to maintain scalable, secure, and compliant cloud environments.

Design, implement, automate, and operate enterprise AWS cloud infrastructure for analytics and data engineering workloads. Build Databricks platforms, Infrastructure-as-Code modules, CI/CD pipelines, secure cloud environments, observability frameworks, and multi-account governance strategies. Optimize reliability, scalability, performance, and cost while guiding engineering teams, leading architecture decisions, and advising clients on cloud and DevOps best practices.

Develop accessible, supportable Power Platform applications and automations for a federal customer. Build Canvas and model-driven Power Apps, Power Automate flows, and Dataverse or SharePoint components. Implement validation, role-based access, error handling, auditability, notifications, integrations, and ALM practices. Participate in testing, peer reviews, release promotion, production readiness, documentation, and user support while collaborating with clients and technical teams.

As a Forward Deployed Engineer, you will develop AI agents and automation workflows, collaborate with teams, and ensure secure, reliable solutions integrating with various systems.