Staff Software Engineer – Fraud

Emploi pas sur LinkedIn

🕒 il y a 4 mois

🌐 États-Unis, Canada – Distant

🇺🇸 États-Unis – Télétravail 🇨🇦 Canada – Télétravail

🏄 California, New York, +1 états de plus – Distant

🏄 California – Remote 🗽 New York – Remote 🌲 Oregon – Remote

💵 $239 000 - $298 800 / an

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Configurer une alerte email pour les nouveaux emplois

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

Mercury

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2019

💳 Fintech

💸 Finance

☁️ SaaS

Fintech • Finance • SaaS

Mercury est une entreprise de technologie financière qui propose des services bancaires en ligne pour les entreprises, bien qu'elle ne soit pas elle-même une banque. Elle collabore avec des banques assurées par la FDIC telles que Choice Financial Group, Column N. A. , et Evolve Bank & Trust pour offrir des services bancaires. Mercury a pour objectif de simplifier les opérations financières des startups et entreprises en proposant une gamme de services incluant comptes courants et d'épargne, gestion de trésorerie, cartes corporate, gestion des dépenses, facturation, et automatisation comptable. La plateforme est conçue pour rationaliser diverses tâches bancaires et améliorer les flux financiers avec des fonctionnalités telles que la surveillance des fraudes et la sécurité des comptes. Elle propose également des opportunités d'investissement via son produit Mercury Treasury et un soutien aux startups grâce à sa plateforme Mercury Raise.

Description

• Lead the architecture, implementation, and long-term roadmap for core systems which support multiple fraud prevention use cases. • Own the end-to-end delivery of large cross-function projects, translating ambiguous high impact problems into strategy and execution, make pragmatic tradeoffs, and drive teams to measurable outcomes. • Design, build, and operate highly available, low-latency, backend systems that enable real-time scoring and decisioning for fraud prevention. • Partner with Data Science and ML teams to productionize models, build reliable ML data pipelines, and enable real-time model serving. • Establish and elevate department level best practices, review designs, drive engineering quality, and act as a trusted advisor on architectural tradeoffs. • Mentor and grow engineers, documenting learnings and sharing technical direction through writing, 1:1s, and team meetings. • Navigate and influence multiple stakeholders, help align teams, communicate tradeoffs to technical and non-technical partners, and independently resolve cross team issues.

🎯 Exigences

• Has 7-10+ years of software development experience, with a strong focus on the backend, with a knowledge of or excitement to learn Haskell. • Has been an experienced technical lead making architectural decisions in the past and seen the impact of those decisions over time. You should be able to clearly articulate your technical opinions and lay out tradeoffs. • Is passionately product-minded and has experience building and shipping new products balancing reliability and velocity. • Is someone comfortable driving discussions in areas with ambiguous ownership, approaches them with empathy, and delights in getting outcomes. Our work touches many other teams and areas of the product; you’ll have a lot of autonomy and the expectation is you’ll use that to seek out ways to have an impact. • Is ridiculously helpful, taking initiative to make your coworkers’ lives easier by investing time to mentor and proactively share your knowledge and learnings through writings, 1:1s, and team meetings. • Experience in fintech, fraud systems, or the broader risk domain is a strong plus.

🏖️ Avantages

• base salary • equity (stock options)