Top Platform Engineer Jobs in Seattle, WA

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

As a Staff Software Engineer, you'll design and operate scalable backend services, collaborate across teams, and ensure high system availability.

As a Software Engineer on the Apollo platform, build and maintain systems for software deployment at scale, collaborating with teams to solve complex issues.

The Software Engineer will build APIs and drive containerization goals across Palantir's software platforms, utilizing K8s and collaborating with teams to deliver scalable technical solutions.

The Senior Software Engineer will develop backend services for the Decision Intelligence Platform, ensuring high reliability and scalability, and collaborate across teams to enhance decision-making processes at Remitly.

Lead technical direction for cloud platform engineering: design, build, and operate secure, scalable platforms supporting AI/ML and data initiatives. Drive DevEx, CI/CD, DevSecOps, observability, self-service developer workflows, and AI-assisted development including agent and MCP integrations.

Lead architecture and evolution of billing, payments, and invoicing systems. Design resilient payment processing, monitoring, reconciliation, and integrations while partnering with finance and operations to ensure financial correctness, compliance, and scalability.

The role involves ensuring data quality for risk decisioning by building data pipelines and anomaly detection systems and collaborating with data scientists.

Design and build next-generation ads formats, backend infrastructure, and scalable distributed systems. Lead technical direction, collaborate across teams to define product requirements, experiment, analyze and optimize ad performance, and ensure availability, scalability, operational excellence, and cost management. Mentor engineers and apply AI tools and high-velocity workflows to deliver production-ready systems.

Administer multi-tenant Kubernetes platforms, manage application deployments, troubleshoot incidents, and ensure system reliability while collaborating with development teams.

The Site Reliability Engineer will automate tasks, enhance platform infrastructure, improve observability, and lead incident response efforts for optimal performance.

As a Staff Software Engineer, you will enhance platform engineering by improving deployment strategies and developer experiences, establishing reliable systems and mentorship across teams.

Design, implement, and maintain scalable hybrid multi-cloud Kubernetes platforms at massive scale. Ensure high reliability, integrate open-source observability tools, provide technical direction, operate large Linux environments across cloud and data centers, handle on-call duties, and mentor junior engineers.

As a Senior Software Development Engineer in the ML Platform team, you'll design and build scalable ML platform capabilities, enhance software quality, improve operational health, and drive adoption of shared ML infrastructure across teams.

Design and deliver blockchain network infrastructure and platform APIs, lead multi-quarter initiatives (chain integrations, re-architecture, data migrations), define APIs/SLOs/observability and on-call ownership, ship SDKs and platform primitives, establish data contracts, and simplify cross-chain operations to enable analytics, ML, and data engineering teams.

Design and develop scalable backend services for the Falcon Risk Platform, ensuring performance and reliability. Collaborate with teams on cloud infrastructure, database management, and system optimization while mentoring junior engineers and driving technical initiatives.

Design, build, and operate Cloudflare's distributed storage and database products (R2 Data Catalog, R2 SQL). Own full lifecycle delivery, architect consistency models, optimize storage engine performance, design APIs, and debug large-scale distributed systems using Rust, TypeScript, Go, C++, and Linux/UNIX.

Build and improve the MongoDB Documentation Platform by developing internal infrastructure, integrations, and features to enhance accessibility, discoverability, and user experience. Analyze platform performance, lead small-to-medium features, collaborate with partner teams, and improve platform reliability, scalability, and maintainability for documentation consumers and contributors.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.

Lead Salesforce and billing platform engineering with an emphasis on AI-driven automation. Build scalable Salesforce solutions (Apex, Flow, LWC), pilot LLM/agent workflows, modernize CI/CD and test automation, support Quote-to-Cash and billing processes, collaborate across product and finance, drive technical debt reduction, and mentor junior engineers.

Design, build, and operate core cloud platform components for real-time IoT, energy, and telematics applications. Own features end-to-end, ensure reliability, scalability, maintainability, and performance, and collaborate cross-functionally while working independently to drive delivery.

Design, build, and maintain Salesforce applications and integrations to support institutional sales, billing, and compliance. Own end-to-end feature delivery, collaborate with product and business stakeholders, ensure engineering quality through reviews and documentation, mentor junior engineers, and support operations via on-call rotations and incident triage.

Lead development teams in creating scalable data platforms, focus on ETL/ELT pipelines, data architectures, mentoring junior engineers, and ensuring project alignment with business goals.

Senior Windows-focused Platform Engineer responsible for administering Windows server environments, supporting IBM FileNet/DataCap/BAW/ICN applications, ensuring security and performance, implementing monitoring, troubleshooting production issues, documenting systems, and collaborating with internal teams and clients to improve platform stability and processes.

Define and scale reliability practices across the company by creating SLO/SLA frameworks, improving observability, evolving incident response, building self-service tooling and scorecards, and driving cross-team adoption to enable teams to build and operate reliable production systems at scale.