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Senior Software Engineer (Fraud team)

Senior Software Engineer (Fraud team)

FélixWorkFromHome, Valle del Cauca, Colombia
Hace 4 días
Descripción del trabajo

About Félix

At Félix, we're building the financial ecosystem for Latin immigrants in the U.S., starting with a revolution in remittances. Our core product is an AI-powered chatbot built on WhatsApp, allowing our users to send money home as easily as sending a text message. We leverage cutting-edge technology like AI, blockchain, and stablecoins to make cross-border payments faster, more affordable, and more accessible than ever before.

We are a hyper-growth Series B company, backed by over $100 million in funding from top-tier global investors, including QED, Castle Island, Switch Ventures, HTwenty, Monashees, and General Catalyst Customer Value Fund. This is a rare opportunity to apply your skills to a deeply meaningful mission—serving a community that has been underserved for too long.

We are a team that is fiercely loyal to each other, where radical transparency and constructive feedback are how we grow and push for excellence. We are bold, we care less about what others are doing, and more about creating sustainable value and a product that truly makes our users\' lives better. We are building the future, today.

About The Role

We are seeking a Senior Software Engineer with deep expertise in Fraud and Risk Management systems, specifically within Fintech environments. As a key Sr. SWE in our Risk & Fraud domain, you will design and build scalable, resilient fraud detection and prevention platforms, lead cross-functional initiatives, and contribute to our long-term architecture and product strategy. This role is ideal for an engineer with 8+ years of experience, a strong systems background, and the ability to bridge engineering and product teams to protect user trust and platform integrity.

This role is open to all candidates in Latin America.

Responsibilities

  • Platform & Engineering Execution
  • Architect and build scalable, high-availability Fraud and Risk platforms, with a focus on performance, reliability, and extensibility.
  • Own the design and development of core platform components such as event pipelines, rule engines, risk decision APIs, and signal ingestion layers.
  • Implement and maintain infrastructure to support real-time fraud monitoring, including workflow orchestration, alerting, and rule evaluation systems.
  • Drive the integration of third-party data providers and internal services into a unified fraud decisioning platform.
  • Ensure systems are well-instrumented, observable, and resilient, with clear SLAs and robust monitoring.
  • Collaborate with platform, infrastructure, and security teams to uphold compliance, scalability, and deployment best practices.

System Design & Leadership

  • Design for scale, latency, resilience, and privacy in high-volume financial transaction environments.
  • Evaluate and evolve risk decisioning frameworks, supporting both manual review and automated responses.
  • Actively participate in incident resolution, RCAs, and on-call rotations for Fraud / Risk platforms.
  • Raise engineering standards through thoughtful code reviews, architectural discussions, and mentorship.
  • Cross-functional Collaboration

  • Partner with Product, Risk, Compliance, and Operations to define technical solutions that meet evolving fraud scenarios and regulatory requirements.
  • Translate risk policy requirements into engineering deliverables.
  • Collaborate across squads to ensure fraud systems integrate cleanly with onboarding, payments, and identity systems.
  • Own, create and improve Fraud Metrics
  • Requirements

  • 8+ years of professional software engineering experience, with at least 3+ years working on fraud, risk, or financial crime prevention platforms.
  • Proficiency in backend languages such as Python, Kotlin, Java, Golang, or similar.
  • Experience building or working with platform systems, event-driven architectures and real-time processing systems (Kafka, Pub / Sub, Flink, or equivalent).
  • Deep understanding of fraud detection concepts, including :
  • Risk scoring and rule engines
  • Fraud signals and feature engineering
  • Velocity limits, anomaly detection
  • Transaction monitoring
  • False positive / negative tuning
  • Strong knowledge of databases, caching, and system performance optimization.
  • Hands-on experience with observability and alerting in high-sensitivity systems.
  • Proficiency in English at an Upper-Intermediate level or higher is required.
  • These are the applicable requisites, although equivalent competencies in any of the above will also be considered.

    Nice to have

  • Experience working in or closely with Fintech, Payments, Lending, or Banking platforms.
  • Exposure to regulatory concerns around KYC, AML, PSD2, 3DSecure, CCPA, GDPR, LGPD.
  • Familiarity with integrating third-party providers like Seon, Sardine, Sift, Feedzai, or Socure.
  • Previous experience mentoring engineers and influencing technical direction at team or domain level.
  • What We Offer

  • Competitive salary
  • Initial stock options grant
  • Annual performance bonus
  • Health, dental, and vision plans
  • Remote work environment, although we have offices in Miami and México City and would love to work in hybrid model if you are up to it.
  • Continuous learning opportunities
  • Unlimited PTO
  • Paid parental leave
  • Empowering opportunities for growth in a dynamic entrepreneurial environment
  • Equal Opportunity Employer

    At Félix, we are committed to providing equal employment opportunities to all qualified employees and applicants without regard to race, religion, nationality, sex, sexual orientation, gender identity, age, or disability. This policy applies to all terms and conditions of employment, including recruitment, hiring, placement, promotion, training, compensation, benefits, and termination.

    Want to learn more about our privacy practices? Check out our Privacy Policy.

    Seniority level

    Mid-Senior level

    Employment type

    Full-time

    Job function

    Engineering and Information Technology

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