Staff Software Engineer – Fintech

🕒 il y a 24 jours

🇺🇸 États-Unis – Télétravail

💵 $226 000 - $304 000 / an

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

🗣️🇺🇸🇬🇧 Anglais requis

D'où vient cette offre

Publiée sur la page carrières de Pax8, pas via un site d'emploi

Repérée par Remote Rocketship il y a 24 jours

Toujours ouverte sur le site de Pax8. Vérifiée il y a 2 heures.

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Pax8

1001 - 5000 employés

💼 Conseil

🏪 Place de marché

☁️ SaaS

💰 €185 000 000 Venture Round en 2022-04

Consulting • Marketplace • SaaS

Pax8 simplifie la manière dont les organisations achètent, vendent et gèrent les solutions cloud, permettant à nos partenaires de réaliser plus grâce à la technologie cloud.\n\nNotre plateforme conçue dans le cloud modernise le parcours des solutions cloud des entreprises avec une facturation consolidée, un approvisionnement automatisé et des intégrations PSA de pointe. Notre technologie est soutenue par l'expérience Wingman, qui offre un support réactif ainsi que les formations et ressources nécessaires pour développer votre activité cloud.\n\nClassée parmi les 5000 entreprises privées en plus forte croissance aux États-Unis pendant cinq années consécutives — #68 en 2018, #60 en 2019, #111 en 2020, #164 en 2021, et #552 en 2022 — et numéro 1 sur la liste Fast50 du Denver Business Journal comme la grande entreprise à la croissance la plus rapide de Denver, Pax8 a remplacé la distribution traditionnelle en connectant l'écosystème du canal à notre place de marché cloud primée.\n\nSi vous souhaitez réussir avec le cloud, vous voulez travailler avec Pax8.

Description

• Own, build, and operate a technically complex FinTech system with its own technical strategy • Drive specifications, architecture, implementation, and production operation • Apply domain expertise across product information, pricing, orders, subscriptions, fulfillment, usage, and financial transactions • Build subscription and usage-based commerce capabilities, including metering, token consumption, billing, and settlement • Make consequential decisions about what to build, scale, or retire on ambiguous problems • Optimize the revenue lifecycle end to end across ownership boundaries • Identify high-impact problems and build solutions using AI agents and enterprise-approved tools • Use spec-driven development to define business rules, system behavior, edge cases, and acceptance criteria • Design for financial correctness, data integrity, auditability, and resilient operation • Instrument systems for adoption, usage, reliability, and financial accuracy • Partner with Product, Finance, Compliance, Operations, Commercial, and engineering teams • Implement financial controls and traceability supporting auditability, revenue recognition, taxation, and compliance • Build platform capabilities for trusted financial experiences • Mentor engineers on architecture, domain tradeoffs, validation, and production risk • Identify and address financial errors, data loss, security vulnerabilities, and AI-specific risks before release • Lead discovery, spikes, prototypes, proofs of concept, and hardened production rollouts • Write precise documentation for consuming teams • Present technical direction to engineering and product audiences

🎯 Exigences

• Meaningful hands-on experience building and operating production systems across two or three FinTech areas: PIM, CPQ, O2C, FEM, FX, or reconciliation and settlement • Experience with payments, subscriptions, revenue recognition, and/or financial reconciliation • Experience with subscription lifecycle management, usage-based consumption, pricing structures, and billing operations • Ability to implement financial controls and auditable workflows with Finance and Compliance • Ability to translate domain rules into explicit specifications and testable system behavior, including failure scenarios and financial edge cases • Understanding of upstream and downstream effects across financial records, customer access, and operational workflows • Experience mentoring Software Engineers toward owning highly complex systems • Experience taking techniques from research or external sources through prototype, proof of concept, and hardened production rollout • Understanding of AI capabilities and limitations • Proficiency using enterprise-approved AI tools, including Claude • Knowledge of data classification and privacy principles for AI systems • Responsible AI knowledge, including bias mitigation, fairness, and transparency • Advanced prompting proficiency, including multi-turn context setting, chain-of-thought elicitation, structured output enforcement, and iterative refinement • Ability to build and own evaluation and validation infrastructure for AI-assisted or AI-native systems • Ability to scrutinize agent-produced code in highly complex systems • Ability to track AI-specific vulnerability classes and evolving state-of-the-art techniques • Must hold valid right to work in United States

🏖️ Avantages

• Competitive compensation package • Annual bonus opportunity • Employee stock options • Comprehensive medical, dental and vision coverage • 401(k) retirement plan with employer match • Flexible paid time off • Paid volunteer time • Wellness initiatives and employee assistance programs • Continuous learning and development opportunities • Dedicated professional development resources • Collaborative remote-first culture • Access to innovative technologies and AI-powered learning tools • Employer-Paid Life, AD&D, Short-Term Disability & Long-Term Disability Insurance • Flexible Open PTO • Paid Sick Leave • Paid Parental Leave • RTD EcoPass (eligible Colorado-based employees) • Employee Assistance Program (EAP)

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