Top Platform Engineer Jobs in Seattle, WA

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.

Develop and maintain Microsoft Power Platform solutions using Power Apps, Power Automate, Power Pages, Dataverse, Power BI, and relational databases. Translate business requirements into scalable technical designs, integrate Microsoft and Azure services, implement security and governance controls, support compliance and audits, and provide mentorship and knowledge transfer. Evaluate emerging capabilities such as Copilot Studio while collaborating with stakeholders, architects, project managers, and developers.

Lead end-to-end Microsoft Power Platform implementations including discovery, design, build, test, and deployment. Develop low-code solutions (Model-driven and Canvas apps), automate processes with Power Automate, create data visualizations, integrate data, maintain coding standards, produce design documentation, support production issues, and act as a Power Platform SME advising on architecture, security, and CoE governance while participating in Agile ceremonies.

Build and improve platform services, cloud infrastructure, CI/CD pipelines, monitoring, and developer tooling. The role involves writing and reviewing code, supporting deployments, improving scalability and reliability, participating in incident response, and collaborating with engineering teams. The engineer will use technologies such as AWS, Kubernetes, Docker, Terraform, Python, RabbitMQ, PostgreSQL, and Datadog while developing ownership of increasingly larger platform areas.

Build and improve AWS cloud infrastructure, CI/CD pipelines, Terraform-managed environments, and containerized applications on ECS Fargate. Lead architecture and deployment reviews, automate reliable application delivery, troubleshoot incidents, perform root cause analysis, and implement monitoring, logging, security, and compliance controls. Collaborate with application, IT, business, and vendor teams while modernizing legacy applications and developing platform engineering capabilities.

Build, secure, and operate an Azure Government AI platform supporting Azure AI Foundry and approved generative AI models. Configure AI projects, deployments, networking, identities, monitoring, cost controls, and integrations. Automate repeatable infrastructure and release processes, troubleshoot across cloud layers, and create operational documentation. The role requires strong Azure engineering, AI platform, security, networking, monitoring, and scripting experience, with responsibility for reliable developer experiences and governed AI usage.

Designs and owns shared test automation frameworks and scalable test execution infrastructure across web, mobile, and backend services. Builds tooling for test environments, test data, parallel execution, flaky-test detection, and infrastructure monitoring. Partners with engineering teams to improve test coverage and quality practices, reduces feedback-loop friction, and documents testing best practices. The role requires strong automation architecture, cloud-native infrastructure, cross-stack testing, and collaborative influence.

Design, develop, and maintain secure Microsoft Power Platform solutions for federal and DoD customers. Build Canvas and Model-Driven Power Apps, Power Automate workflows, Dataverse data models, Power BI reports, integrations, and automated deployments. Support ALM, ETL, troubleshooting, documentation, security, and performance. Gather requirements and collaborate with technical and program stakeholders while following federal security and configuration-management practices.

Leads end-to-end development of Microsoft Power Platform solutions in regulated federal environments. Designs Power Apps, Power Automate workflows, Power BI models, Dataverse architectures, security roles, integrations, and RPA solutions. Partners with federal stakeholders to gather requirements, present technical solutions, and document system architectures. The role requires Power Platform experience in GCC High, IL5, GovCloud, or comparable environments, plus eligibility for a Secret clearance.

Design, build and own a petabyte-scale self-service real-time data enrichment platform. Lead query processing, ingestion pipelines, storage, indexing and performance optimization using Spark/Flink and Apache ecosystem tools. Deliver unified data catalog, improve query performance and platform efficiency, collaborate on technical reviews, and enable internal and external customers to query and extract data efficiently.

Build and operate a hyper-scale data lake and analytics platform: develop Java microservices and Spark/Scala/Flink pipelines, own a new graph database, design ultra-high-scale data platforms, optimize performance and latency, enable efficient querying for analytics and ML, and collaborate on feature design and stability across teams.

Design, build, and operate globally distributed storage systems; own code from design to release; provision and benchmark storage hardware; model failure domains; build observability, runbooks, and automation; collaborate across teams to ensure reliability, performance, and scalability.

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.

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.

Design, implement, optimize, and maintain scalable hybrid multi-cloud Kubernetes platforms operating at massive scale. Integrate open-source technologies, improve platform reliability, provide technical direction, mentor engineers, and participate in on-call support. The role requires expertise managing large Kubernetes clusters, observability tools, Linux environments, public clouds, custom data centers, and AI-enabled workflow improvements.

Design, administer, optimize, and govern an enterprise Databricks Lakehouse Platform. Responsibilities include managing workspaces, Unity Catalog, compute, workflows, data pipelines, security controls, observability, performance, cost optimization, CI/CD, infrastructure automation, disaster recovery, and platform upgrades. The role also supports audits, compliance, troubleshooting, documentation, technical standards, and mentorship while integrating Databricks with enterprise data, business intelligence, and AI/ML environments.

Design and launch Anthropic’s global corporate mobile device program across iOS and Android. Own device standards, procurement logistics, enrollment, configuration-as-code, compliance, lifecycle automation, telemetry, managed app distribution, and BYOD boundaries. Build infrastructure using MDM/UEM platforms, cloud services, Terraform, GitOps, and CI. Partner with Corporate Security on device trust and travel devices while driving progressive, telemetry-gated fleet rollouts.

Build and lead a greenfield cloud platform supporting application, data, and AI workloads. Responsibilities include managing Terraform infrastructure, production EKS clusters, Helm deployments, CI/CD pipelines, security controls, observability, cloud cost allocation, and developer golden paths. The role establishes engineering standards, supports regulated-data compliance, partners across engineering teams, reviews infrastructure changes, mentors engineers, and writes production code while ensuring reliable, secure, and cost-effective service delivery.

Build and maintain cloud-native production platforms, automate infrastructure and deployment environments, and bridge application development with production teams. Responsibilities include validating implementations, independently solving technical problems, developing small components, estimating work, debugging systems, and promoting DevOps, DevSecOps, CI/CD, infrastructure-as-code, containerization, and security best practices. The role requires Kubernetes and cloud experience, programming and shell scripting knowledge, YAML proficiency, cross-functional collaboration, and U.S. citizenship.

Design, build, and run cloud-based automated test frameworks and scripts for React/Node applications. Configure CI/CD pipelines, test environments, and data sets; validate APIs and containerized apps; collaborate with manual testers and development teams using Agile/DevSecOps practices.

Develop and maintain Microsoft Power Platform solutions for CDC mission programs. Responsibilities include designing solution architectures and data models, building Power Apps and Power Automate workflows, configuring Dataverse, modernizing legacy applications, integrating APIs and Azure services, reviewing technical solutions, supporting Agile delivery and testing, troubleshooting defects, documenting deployments, and maintaining production systems. The role also ensures federal security, privacy, governance, and Section 508 accessibility compliance.

Own and evolve AWS cloud infrastructure supporting a financial and hospitality technology platform. Design highly available systems, deployment pipelines, observability, security controls, and infrastructure migrations. Lead incident response, reliability planning, capacity management, and root-cause analysis while participating in on-call rotations. Partner with application engineers, establish infrastructure standards, and mentor platform engineers as the organization scales.

Lead frontend development for Coinbase identity experiences including login, signup, OAuth, account security, and multi-factor authentication. Own projects from design through deployment and monitoring, guide Native versus Webview architecture, author technical designs, resolve systemic technical debt, lead on-call and incident response, and mentor engineers.

Build and operate reusable cloud data-platform infrastructure across engineering teams. Design, secure, monitor, optimize, and maintain relational, NoSQL, columnar, streaming, and analytical data systems. Establish database, schema, access, backup, recovery, privacy, and observability standards; improve infrastructure-as-code and operational tooling; and guide datastore selection and architecture. Lead cross-team initiatives, reduce technical debt, mentor senior engineers, document best practices, and influence technical strategy without direct management authority.

Own end-to-end delivery of platform initiatives, designing scalable infrastructure, APIs, gateways, backend services, self-service tooling, and automation. Evaluate and implement AI agents and workflows within developer tooling, improve reliability and engineering productivity, lead technical design reviews, mentor engineers, and influence cross-functional stakeholders. The role requires operating complex production systems across Ruby/Rails, Python, Rust, React/TypeScript, GraphQL, and cloud infrastructure.