Stripe Logo

Stripe

Staff Backend Engineer, Supportability Decisions

Posted 2 Days Ago
Be an Early Applicant
In-Office
Dublin, IRL
Expert/Leader
In-Office
Dublin, IRL
Expert/Leader
Lead the architecture and delivery of Stripe’s Supportability Decision Layer, building high-throughput, low-latency distributed backend services and explainable decision engines. Define APIs, data models, orchestration pipelines, and resilient systems for merchant risk and onboarding. Serve as technical lead for the Dublin team, mentor engineers, drive design reviews, and align global partners across engineering, product, risk operations, and data science.
The summary above was generated by AI
About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies, from the world’s largest enterprises to the most ambitious startups, use Stripe to accept payments, grow their revenue and accelerate new business opportunities. Our mission is to increase the GDP of the internet and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Supportability sits at the vital intersection of platform safety, regulatory trust and merchant growth. Our mission is to ensure legitimate businesses can seamlessly onboard and thrive on Stripe, while proactively safeguarding the financial ecosystem from bad actors and high-risk activity.

The Supportability Decisions team is a newly forming pillar anchored in our Dublin office. In this role, you will be the foundational technical lead establishing this capability in Dublin. Our mission is to accelerate Stripe’s global expansion by building the canonical Supportability Decision Layer; a stateful distributed platform that provides unified, real-time, and explainable risk determinations to unlock fast, compliant merchant onboarding and payment method expansion worldwide.

Doing this at scale requires solving high-stakes risk challenges with precision. Deceptive merchant activity, such as transaction laundering, introduces significant threats as bad actors actively adapt to mask illicit and unsupported activities behind legitimate storefronts. Rather than relying on rigid, fragmented controls that create unnecessary friction for good users, our team builds the intelligent decision systems that systematically separate legitimate businesses from adversarial behavior, enabling Stripe to grow safely and aggressively.

What you’ll do

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. You will tackle high-ambiguity technical challenges in an adversarial threat landscape, turning broad risk policies and operational needs into resilient, high-throughput backend services and stateful decision engines. As the technical anchor in Dublin, you will set architectural patterns, mentor engineers as the team scales from its initial members to ~7 ICs, and drive technical alignment with distributed partner teams globally.

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.
Who you are

We're looking for a technical leader who thrives in ambiguity, has deep distributed systems instincts, and is energized by building a critical platform that enables global merchant growth while safeguarding the financial ecosystem. If that sounds like you, we encourage you to apply.


Minimum 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.

Stripe Dublin, Dublin, IRL Office

Grand Canal Street Lower, Dublin, Dublin, Ireland

Similar Jobs

Yesterday
Remote or Hybrid
Ireland, IRL
Senior level
Senior level
Fitness • Hardware • Healthtech • Sports • Wearables
Leads global learning strategy and programs across Membership Services, including onboarding, continuing education, product readiness, systems training, and employee development. Manages learning professionals, oversees LMS and learning technology, applies adult learning and instructional design methods, and establishes training quality standards. Uses learning analytics and operational metrics to measure business impact while partnering with Operations, Quality, HR, Product, Technology, and BPO stakeholders to improve employee proficiency and member experience.
Top Skills: Ai-Powered ToolsLearning AnalyticsLearning Management Systems (Lms)
Yesterday
Hybrid
Dublin, IRL
Expert/Leader
Expert/Leader
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads advanced data science and machine learning initiatives to discover healthcare affordability and payment integrity opportunities. Develops anomaly detection, clustering, graph analytics, explainable AI, generative AI, and evidence-generation methods using large-scale healthcare data. Partners with product, engineering, analytics, and domain stakeholders to translate patterns into actionable hypotheses, operationalize analytical assets, and improve model validation. Provides technical leadership, establishes analytical standards, mentors data scientists, and guides ambiguous initiatives from problem definition through delivery.
Top Skills: Agentic AiArtificial IntelligenceDatabricksExplainable AiGenerative AiGraph AnalyticsLarge Language ModelsMachine LearningPythonSnowflakeSQL
Yesterday
Hybrid
Dublin, IRL
Expert/Leader
Expert/Leader
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Provides technical leadership for a portfolio of modernized enterprise applications. Establishes architecture and engineering standards, guides design and implementation, manages technical risks and dependencies, improves testing and delivery practices, and supports production readiness. The role partners with product, architecture, security, infrastructure, and business stakeholders while mentoring engineers and remaining hands-on with critical code and complex technical issues. It also establishes governance for AI-assisted software development.
Top Skills: Ai-Assisted Development ToolsApi DevelopmentAutomated Delivery PipelinesAutomated TestingCloud-Native DevelopmentData PlatformsDistributed SystemsEnterprise Identity ServicesMicroservicesModern Web FrameworksServer-Side Application FrameworksTypescript

What you need to know about the Dublin Tech Scene

From Bono and Oscar Wilde to today's tech leaders, Dublin has always attracted trailblazers, with more than 70,000 people working in the city's expanding digital sector. Continuing its legacy of drawing pioneers, the city is advancing rapidly. Ireland is now ranked as one of the top tech clusters in the region and the number one destination for digital companies, with the highest hiring intention of any region across all sectors.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account