Top Tech Jobs & Startup Jobs in Seattle, WA

Lead delivery of a centralized CIAM platform to consolidate authentication across channels, drive OTP and passwordless strategies, embed risk-based and AI-driven identity intelligence, partner with Security/Fraud/Digital teams, ensure adoption and governance, and track KPIs for authentication success, fraud reduction, and customer experience.

Lead delivery of a centralized CIAM platform, consolidating authentication and identity verification across channels. Define roadmap for passwordless, adaptive authentication (passkeys, biometrics, device intelligence), embed risk-based AI signals, drive OTP consolidation, align enterprise authentication standards, ensure operational readiness, and track KPIs for authentication success, fraud reduction, and customer conversion.

Lead strategy, roadmap, and execution for a centralized CIAM authentication and identity platform. Manage product and delivery leads, align stakeholders, set governance, and drive OTP consolidation, passwordless and adaptive authentication, device intelligence, biometrics, and identity orchestration to reduce fraud, improve conversion, and enhance customer experience.

Lead delivery of a centralized CIAM platform to consolidate authentication across channels, drive OTP consolidation, and implement passwordless, adaptive authentication using passkeys, biometrics, device intelligence, and AI-driven risk signals. Partner with Security, Fraud, Digital, and Technology to set enterprise authentication standards, ensure omnichannel identity orchestration, drive adoption, and measure KPIs like authentication success, fraud loss, and conversion.

Lead design, build, and operate real-time, Flink-based streaming data platforms. Develop low-latency, stateful pipelines, enforce event schemas/contracts, ensure fault tolerance and observability, mentor engineers, and partner with architecture and compliance teams to deliver resilient streaming solutions for banking use cases.

Design, build, and maintain scalable, secure data pipelines and platforms to acquire, transform, and store large financial datasets. Enable AI/GenAI-ready data foundations for model training, inference, retrieval, and RAG workflows. Collaborate with cross-functional teams, ensure data quality, governance, observability, and compliance, and support production deployments and troubleshooting.

Lead graph data engineering to design, implement, and scale Neo4j-based graph platforms. Build graph models, ingestion pipelines (batch and streaming), integrate graphs with analytics/ML, establish governance, and enable graph-driven business use cases like fraud detection and Customer 360.

Lead design and implementation of scalable, secure distributed software in an Agile environment. Influence architecture, mentor engineers, build cloud-native services, ensure maintainability and security across the development lifecycle.

Design and govern enterprise scheduling and orchestration platforms (Autosys, CA7, Airflow). Provide architecture leadership, mentor teams, drive platform strategy, ensure high availability, cloud integration, automation, and collaborate with technical and business stakeholders.

The Senior Data Engineer will design scalable data processing frameworks using Java and Apache Spark, manage data pipelines, and mentor junior engineers.