Software Engineer, Supportability Decisions

Stripe, Inc.; Dublin (CA); In loco; USD 134.000 - 201.000; Tempo pieno

Descrizione del lavoro

Stripe, Inc. is seeking an experienced software engineer to own a meaningful risk-decisioning area within the Supportability Engineering team in Dublin.

You will design and implement the domain capabilities and agentic infrastructure to make Supportability decisions consistent, stateful, and explainable across products and regions. The role emphasizes building durable services, policy grounding, and scalable workflows while collaborating across teams to balance detection of bad actors with

Competenze

• 2–7 years of industry software engineering experience (not including internships).
• Ability to work across the full stack and navigate multi-language codebases.
• Strong coding skills in any programming language; language-agnostic interview process.

Mansioni

• Build the Supportability Decision Layer: durable service and API for automated systems, agents, and human reviewers to request and understand decisions.
• Develop infrastructure to synthesize policy, identity/history, product context, risk appetite, and signals into explainable decisions.
• Improve transaction-laundering policy grounding, risk tiering, precision/recall, and use of signals.
• Design durable decision state/history with traceability from evidence through reasoning, and refresh policies.
• Build configurable patterns that adapt decision capabilities across products, countries, and risk appetites.
• Develop backend workflows on shared platform infrastructure and ensure explainability to reviewers.
• Use outcomes data to improve decision quality while balancing risk with legitimate businesses.
• Modernise URL enforcement and reduce review friction during migration from legacy systems.
• Expand SAE/SPO decisioning foundations including remediation and appeal capabilities.
• Improve Process Orchestration Framework and migrate workflow code to maintainable packages.
• Contribute to future automated screening and wider web intelligence work.

Conoscenze

Full-stack engineering

Cross-language proficiency

Collaborative skills

Autonomy

Generalist across technologies

Descrizione del lavoro

Who we are

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 Decisions is a Dublin-based engineering team within Supportability Engineering, part of Risk Engineering. We own the “how a business sells” side of Supportability: determining whether a user’s declared business, web presence, account configuration, and observed transaction behaviour align with Stripe’s standards.

Our core domain includes transaction-laundering detection and decisioning, web-presence and URL-policy controls, and low-quality e-commerce detection. We consume the signals and evaluations that support decisions in these spaces and convert them into evidence-based and auditable determinations that can be shared with the rest of the Supportability platforms.

The pitch is: join a high-ownership team solving some of Stripe’s hardest risk problems. We build technology that helps Stripe distinguish legitimate businesses from bad actors at scale, combining sophisticated engineering, AI-assisted investigation, and meaningful real-world impact.

What you’ll do

You will own a meaningful part of a risk-decisioning problem from investigation and design through implementation, rollout, measurement, and iteration. You will help build both the domain capabilities and the modern agentic infrastructure required to make Supportability decisions consistent, stateful, explainable, and appropriate to the business, product, and moment in time. Depending on team priorities and the candidate’s experience, this may include:

Responsibilities

• Building the Supportability Decision Layer: a durable service and API through which automated systems, agents, and human reviewers can request, produce, retrieve, and understand canonical decisions.
• Developing the infrastructure that enables agentic investigations to synthesize policy, business identity and history, product context, risk appetite, and multiple assessment signals into explainable, confidence-calibrated decisions.
• Improving the transaction-laundering agent’s policy grounding, evidence quality, risk tiering, precision and recall, and use of behavioural, dispute, and other relevant signals.
• Designing durable decision state and history, including traceability from supporting evidence through reasoning and applied consequence, and validity and refresh policies that prevent stale outcomes from persisting.
• Building governed, reusable configuration and integration patterns that adapt decision capabilities across products, partners, countries, and permitted risk appetites without creating bespoke systems for each use case.
• Building reliable backend workflows on shared Supportability and Risk Platform infrastructure.
• Making complex risk decisions explainable to reviewers and affected users.
• Using data and feedback from outcomes, appeals, and corrections to improve decision quality while balancing the identification of bad actors against avoiding unnecessary harm to legitimate businesses.
• Modernising URL enforcement, including when and how URL checks run, reducing unnecessary review volume and user friction, and supporting migration away from legacy systems.
• Expanding shared SAE/SPO decisioning foundations, including due‑diligence support and product‑scoped remediation and appeal capabilities.
• Improving the Process Orchestration Framework and moving workflow code into more maintainable platform packages.
• Contributing to future work in automated LPM URL screening, low‑quality e‑commerce detection, wider web intelligence, and active test charges.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 2 - 7 years of industry software engineering experience (does not include internships or co-ops)
• You work effectively across the stack from top to bottom, comfortably navigating codebases with different languages and tools
• You're equally comfortable shipping user-facing experiences as you are writing custom queries to analyze experiment results
• Strong coding skills in any programming language (we understand new languages can be learned on the job, so our interview process is language‑agnostic)
• Strong collaboration skills, with the ability to work across workstreams within your team and contribute to your peers' success
• Ability to thrive on a high level of autonomy and responsibility, and think of yourself as entrepreneurial
• Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users

Preferred qualifications

• Experience working in high‑growth teams similar to Stripe
• Experience building financial systems or tools for financial experts