# Staff Backend Engineer, Supportability Decisions

**Company**: Stripe
**Location**: Dublin
**Work arrangement**: onsite
**Experience**: staff
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://job-boards.greenhouse.io/stripe/jobs/8261010?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_38dfe2d4-d10

## Description

## Job Description

As a Staff Backend Engineer and Technical Lead for Supportability Decisions, you will take ownership of defining and building this new space from the ground up. You will build systems that operate at the intersection of AI/ML, distributed data processing and real-time risk decisioning.

## Responsibilities

- Lead the technical vision, system architecture and delivery of the canonical Supportability Decision Layer, establishing stateful, explainable decision APIs consumed across automated systems and human operations.

- Architect decision aggregation and AI/ML orchestration pipelines, synthesizing upstream machine learning outputs, website intelligence, backsite detection, and agentic AI evaluations into unified, low-latency determinations.

- Design high-throughput, low-latency distributed backend services that balance platform safety, regulatory compliance, and minimal friction for legitimate merchants.

- Navigate ambiguous, zero-to-one problem spaces to define clean domain models, contracts and interfaces across transaction laundering detection, web-presence screening and Local Payment Method (LPM) support.

- Build resilient, AI-assisted decision engines designed to withstand circumvention, ensuring systems maintain integrity against sophisticated bad actors who actively evolve their tactics.

- Serve as the technical lead and mentor for the Dublin engineering team, setting architectural patterns, conducting design reviews, and raising the technical bar as the team expands.

- Partner closely with Engineering Managers, Product Managers, Risk Operations, and Data Science to translate strategic risk policy into scalable technical roadmaps.

- Drive technical alignment and system integrations across global partner teams, leveraging strong written design artifacts and asynchronous collaboration to ensure cohesive platform architecture.

## Requirements

- 10+ years of professional backend software engineering experience building and maintaining complex distributed systems in production.

- Proven track record as a technical lead or staff engineer driving multi-quarter technical initiatives from ambiguous requirements to production delivery.

- Deep experience designing durable, scalable APIs, data models, and backend architectures capable of processing mission-critical data with high reliability.

- Strong communication and leadership skills with experience mentoring engineers, aligning cross-functional stakeholders, and driving technical consensus across distributed teams.

- Fluency in a modern backend language (such as Ruby, Java, Go, Python, or C++).

## Preferred Qualifications

- Experience building systems in trust, safety, or risk domains where external bad actors actively evolve their tactics (e.g., transaction laundering, fraud, deceptive practices, or platform abuse).

- Experience architecting workflow orchestration, policy evaluation, or decision platforms that balance robust risk evaluation with frictionless merchant onboarding and product access.

- Familiarity with global payment ecosystems, Local Payment Methods (LPMs), financial partner dynamics, or card network standards.

- Background in AI/ML systems, agentic workflows, orchestrators, or integrating machine learning models into high-throughput, real-time backend decision pipelines.

- Prior experience serving as an anchor or founding engineer establishing a new team or technical domain in a regional engineering hub.

## Skills

### Required
- distributed systems
- AI/ML
- backend engineering
- Ruby
- Java
- Go
- Python
- C++
- API design
- data modeling
- leadership

### Nice to have
- trust and safety
- risk management
- transaction laundering detection
- web-presence screening
- Local Payment Methods (LPM) support
- AI/ML systems
- agentic workflows
- orchestrators
- machine learning model integration

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/stripe/jobs/8261010?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)