Top Engineering Jobs in Seattle, WA

Build scalable backend services and platform applications supporting fund disbursement and data flows. Define software architecture and roadmaps, improve developer tooling and delivery practices, validate security and reliability, and collaborate with infrastructure, security, product engineering, and product management teams.

Build and operate scalable, reliable full-stack systems for high-value international money transfers across web, mobile, and backend services. Lead architecture for complex customer experiences, meet strict availability and latency goals, use AI-native development practices, collaborate with product and design teams, and mentor engineers while strengthening coding, testing, observability, and system design practices.

Own and evolve core transaction platform services handling global remittances at scale. Responsibilities include designing resilient APIs and distributed systems, improving delivery estimates, leading multi-engineer initiatives, migrating production systems, managing reliability and on-call operations, evaluating AI-generated code, collaborating cross-functionally, and mentoring engineers.

Leads the Global Transfer Flow engineering organization, including hiring, coaching, technical strategy, architecture modernization, API and data model development, configurable workflows, reliability, delivery planning, and cross-team collaboration. The role modernizes regional transfer systems into a shared platform supporting mobile, web, conversational, and partner experiences while promoting safe AI adoption and maintaining financial-grade security, accuracy, and reliability.

Design, develop, and maintain large-scale data infrastructure and tooling, including test infrastructure, data frameworks, compute clusters, metadata catalogs, and governance systems. Partner with product managers and engineers across teams to achieve product goals. The role requires strong software development experience, proficiency in Java or Go, and expertise in distributed systems.

Lead internationalization engineering across Remitly’s global products. Build AI-powered translation tooling, localization pipelines, and frontend/backend i18n frameworks supporting multiple languages, scripts, and locales. Establish technical roadmaps, quality standards, and scalable translation practices while partnering with Localization, Product, Design, Legal, Marketing, and engineering teams. Mentor engineers, improve legacy systems, support RTL and bidirectional languages, and deliver locale-aware formatting and transliteration capabilities.

Leads the technical vision and architecture for Remitly’s Core Transfer Experience organization. Responsibilities include modernizing legacy distributed systems, establishing scalable and reliable backend, mobile, and web architectures, driving incremental migrations, setting operational excellence standards, enabling AI-native experiences, and influencing strategy across multiple engineering teams. The role requires hands-on technical leadership, mentoring, cross-functional partnership, and ownership of high-traffic customer-facing systems.

Design, build, and operate Remitly’s CI/CD, internal developer platform, source control, and deployment infrastructure. Own reliability, security, compliance, and quality for company-wide developer tooling; develop AI-assisted engineering capabilities; lead technical planning and design reviews; partner with Infrastructure, Security, and Compliance; mentor engineers and support hiring.

Design, build, and operate Remitly’s CI/CD, internal developer platform, source control, and deployment infrastructure. Own reliability, on-call support, security, privacy, compliance, and quality for company-wide builder tooling. Develop AI-assisted engineering capabilities, lead technical planning and design reviews, mentor engineers, support hiring, and partner with Infrastructure, Security, and Compliance teams in a regulated fintech environment.

Build complete applications, workflow automations, and basic AI agents using AI coding tools. Translate customer needs into specifications, deploy solutions, measure usage and outcomes, evaluate AI-generated code for security and reliability, identify automation opportunities through customer conversations, and document effective prompts and development patterns.