What you'll be doing

Lead the technical vision, system architecture, and delivery of the canonical Supportability Decision Layer featuring stateful, explainable decision APIs.
Architect decision aggregation and orchestration pipelines synthesizing upstream evaluations into unified, low-latency determinations.
Design high-throughput, low-latency distributed backend services balancing platform safety, regulatory compliance, and minimal friction for merchants.
Define clean domain models, contracts, and interfaces for transaction laundering detection, web-presence screening, and Local Payment Method support.
Build resilient decision engines to maintain system integrity against sophisticated adversaries.
Serve as technical lead and mentor to the Dublin engineering team, guiding architecture and design reviews as the team grows.
Collaborate with Engineering Managers, Product Managers, Risk Operations, and Data Science to turn risk policy into scalable technical roadmaps.
Drive technical alignment and integration with global partner teams using strong documentation and asynchronous collaboration.

Requirements

10+ years of backend software engineering experience building and maintaining complex distributed systems in production.
Proven experience as a technical lead or staff engineer driving multi-quarter initiatives from ambiguous requirements to production.
Deep expertise in designing durable, scalable APIs, data models, and backend architectures for high-reliability mission-critical data.
Strong communication and leadership skills, including mentoring engineers and aligning cross-functional, distributed stakeholders.
Fluency in a modern backend programming language such as Ruby, Java, Go, Python, or C++.

Experience in trust, safety, or risk domains confronting adaptive external bad actors (e.g., transaction laundering, fraud, platform abuse).
Expertise architecting workflow orchestration, policy evaluation, or decision platforms balancing strong risk evaluation with frictionless merchant onboarding and access.
Familiarity with global payment ecosystems, Local Payment Methods, financial partner relationships, or card network standards.
Background with agentic workflows, orchestrators, or integrating machine learning models into real-time decision backends.
Prior experience as an anchor or founding engineer establishing a new team or technical domain in a regional engineering hub.