10 дней назад
Senior Software Engineer, Internal Fraud Platform
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer, Internal Fraud Platform (fraud detection and distributed systems): Building Cloudflare’s internal platform for ingesting fraud events, evaluating signals, routing decisions, and supporting case investigation with an accent on reliable pipelines, backend services, and analyst tooling. Focus on taking machine-learning models from notebook to production, designing fault-tolerant high-volume systems, and establishing architecture for a 0-to-1 platform.
Location: Hybrid; candidates progressing to the offer stage may be asked to attend an in-person interview at a office or hub.
Company
operates a large global network that protects and accelerates Internet applications for organizations ranging from individual bloggers to Fortune 500 companies.
What you will do
- Design, build, and operate services and pipelines that ingest fraud-related events from billing, signup, support, and other internal systems.
- Expose event data and contextual features for data-science and machine-learning models, then integrate model decisions into operational workflows.
- Create internal tools and workflows for Trust & Safety, Support, and Finance analysts to investigate flagged accounts and events.
- Own initiatives from problem definition through design, implementation, rollout, and ongoing operation.
- Build fault-tolerant systems that handle retries, failures, and high event volumes without losing or duplicating fraud signals.
- Establish architecture patterns, tooling choices, and engineering standards for a new 0-to-1 platform.
Requirements
- Five or more years of professional software engineering experience or equivalent practical experience.
- Experience building and operating distributed systems or backend services in production.
- Experience designing and building data or event pipelines, such as with Kafka or Pub/Sub.
- Strong knowledge of RESTful APIs, service security, and standards including OpenAPI, OAuth, or JWT.
- Working knowledge of SQL, data modeling, and relational databases such as PostgreSQL or MySQL.
- Ability to troubleshoot effectively, communicate cross-functionally, and own ambiguous projects with limited existing infrastructure.
Nice to have
- Experience in fraud, risk, trust and safety, payments, billing, subscriptions, or transactional systems.
- Familiarity with machine-learning serving and feature-engineering concepts.
- Experience building internal tools or dashboards for analysts, support, or finance stakeholders.
Culture & Benefits
- Work in a builder-oriented culture focused on iteration, curiosity, and practical use of AI.
- Employee benefits include medical, dental, vision, flexible spending, commuter, fertility and family-forming benefits.
- Access to mental-health support, employee assistance, global travel medical insurance, disability insurance, and life and accident insurance.
- Flexible paid time off covering vacation and sick leave, plus parental, pregnancy health, medical, and bereavement leave programs.
- Eligibility for equity participation, an employee stock participation plan, and a 401(k) retirement savings plan.
Hiring process
- Applicants who progress to the offer stage may be asked to attend an in-person interview at a office or hub.
- The position may involve access to information protected by U.S. export-control laws; employment may depend on authorization to receive controlled technology without export-license sponsorship.
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