Staff Software Engineer – Fintech

🕒 vor 10 Tagen

🇺🇸 Vereinigte Staaten – Remote

💵 $226.000 - $304.000 / Jahr

⏰ Vollzeit

🔴 Experte

🧑‍💻 Full-Stack-Entwickler

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

👻 Geisterscore 0%

Was es bedeutet: wie wahrscheinlich diese Stelle offen bleibt, ohne dass aktiv eingestellt wird.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Pax8

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

🏪 Marktplatz

🤝 B2B

☁️ SaaS

💰 €50.000.000 Debt Financing - Pax8 im 2023-09

Marketplace • B2B • SaaS

Pax8 ist ein Cloud-Handelsmarktplatz und eine Plattform, die Managed Service Providern (MSPs) und kleinen Unternehmen hilft, Cloud-Lösungen zu entdecken, zu kaufen, bereitzustellen und zu verwalten. Sie kombiniert einen Anbietermarktplatz, Abonnement- und Abrechnungsmanagement, Sicherheitsangebote, Schulungen (Academy) und professionelle Dienstleistungen, um Partner in die Lage zu versetzen, zu skalieren, intelligenter zu verkaufen und ihre Kunden zu schützen.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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)