Top Engineering Jobs in Seattle, WA

Leads the Payments Platform engineering organization, owning strategy, architecture, roadmap, delivery, and operational health for global payment processing, routing, settlement, reconciliation, and partner integrations. Manages Engineering Managers and senior technical talent, guides scalable and reliable distributed-system architecture, and partners with Product, Commercial, Risk, Compliance, and regional engineering leaders to support growth and regulatory requirements.

Build and operate scalable observability platforms covering metrics, logs, traces, alerting, dashboards, and service health. Develop self-service tooling, improve incident detection and response, establish observability standards, and optimize reliability, performance, and cost across global cloud-native systems. Partner with engineering, infrastructure, SRE, security, and product teams while participating in design reviews, incident response, and post-incident learning. Mentor engineers and promote operational excellence.

Lead technical strategy and architecture for Growth Engineering platforms. Build scalable backend infrastructure, distributed services, real-time data systems, AI-native capabilities, and reliable automation workflows. Partner cross-functionally to solve ambiguous business problems, mentor engineers, and deliver high-impact solutions from design through production.

Design, build, deploy, and operate scalable backend services and platform capabilities for growth engineering. Develop distributed systems, APIs, event-driven architectures, real-time processing, AI-powered workflows, and intelligent decision systems. Own end-to-end technical delivery while ensuring reliability, security, observability, and performance. Collaborate with Product, Data Science, Marketing, Sales, and Engineering teams, solve ambiguous business problems, improve engineering quality, and mentor other engineers.

Leads Growth Engineering initiatives from architecture through launch, builds scalable backend and frontend systems, and develops high-performing engineering teams. Partners with Product, Design, Data Science, Marketing, and Sales to deliver experimentation, personalization, automation, and AI-native capabilities. Establishes engineering standards for reliability, security, observability, and performance while using customer insights and experimentation to drive measurable growth outcomes.

Build and own scalable, high-performance frontend experiences for growth, including websites, funnels, campaign platforms, personalized journeys, and AI-powered tools. Lead end-to-end delivery, optimize performance and conversion through experimentation, and collaborate with Product, Design, Marketing, Data Science, and Backend Engineering. Improve frontend architecture, reusable components, accessibility, SEO, and engineering quality while mentoring teammates and solving ambiguous business problems.

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.

Designs, operates, and scales Kubernetes-based data and AI infrastructure across public cloud environments. Builds platforms for Kafka, Spark, Flink, AI gateways, model serving, traffic management, observability, and self-service deployment. Partners with engineering teams to improve reliability, scalability, performance, cost efficiency, and operational simplicity of distributed 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.

Develop and enhance payment products and transaction systems using Java and Kotlin. Design and build microservice components, evaluate emerging technologies, and recommend architectural improvements. Mentor less-experienced engineers on software practices and coding standards. The role focuses on highly available, distributed, high-concurrency risk and payment platforms, including fraud detection and risk decisioning infrastructure.