Staff Backend Engineer, Supportability Decisions
Stripe is hiring a Staff Backend Engineer, Supportability Decisions for a remote role open to applicants in Ireland. Level rates it ; you can apply on Stripe.
Level's read on this job
- On Level's scale, this software engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- This is listed as a remote role.
- The posting mentions AI agents, backend engineering and distributed systems among its tools and skills.
- Stripe has 765 other open roles on Level.
- Posted within the past week.
AI in this role
Leads the backend engineering team building stateful, AI-powered risk decision systems for merchant onboarding and payment safety.
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.
How we rate this
Staff Backend Engineer, Supportability Decisions at Stripe rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $167k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where backend engineering was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where risk management was part of your work. What did you do?
- Tell me about a project where architecture was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Backend Engineering, Distributed Systems, Risk Management, and Architecture. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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