Senior Staff Software Engineer – Identity & Trust

🔥 il y a 8 heures

🇺🇸 États-Unis – Télétravail

💵 $238 660 - $341 000 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🗣️🇺🇸🇬🇧 Anglais requis

D'où vient cette offre

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

Repérée par Remote Rocketship il y a 8 heures

Toujours ouverte sur le site de EarnIn. Vérifiée il y a 1 heure.

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EarnIn

201 - 500 employés

Fondée en 2013

💼 Conseil

💳 Fintech

☁️ SaaS

💰 €125 000 000 Series C en 2018-12

Consulting • Fintech • SaaS

EarnIn est une entreprise de technologie financière qui propose des solutions innovantes pour accéder plus rapidement à vos revenus sans frais élevés ni vérifications de crédit. L'entreprise propose des services tels que Cash Out, qui permet aux utilisateurs de transférer jusqu'à 150 $/jour ou 750 $/période de paie vers un compte bancaire lié, et Early Pay, qui permet aux utilisateurs de recevoir leur chèque de paie jusqu'à deux jours à l'avance. Balance Shield aide à éviter les frais de découvert avec des notifications en temps réel et des transferts automatiques optionnels, tandis que Credit Monitoring offre un accès gratuit au score Vantage 3. 0 par Experian. De plus, la fonctionnalité Tip Yourself encourage les économies à chaque paie. EarnIn fonctionne sur un modèle basé sur des pourboires optionnels au lieu de frais obligatoires, aidant les utilisateurs à gérer leurs finances avec facilité et sécurité. Les services bancaires sont fournis en collaboration avec Evolve Bank & Trust, Membre FDIC.

Description

• Define the technical vision, architecture, and multi-year roadmap for the Identity & Trust platform • Drive complex, ambiguous initiatives across multiple services and teams from problem definition through long-term operation • Design highly available distributed systems and APIs using microservices, event-driven architectures, Kubernetes, Kafka, DynamoDB, and MySQL • Architect authentication, authorization, KYC, PII protection, secure document processing, deduplication, and related trust capabilities • Establish reusable architecture patterns, technical standards, APIs, documentation, and platform primitives • Drive reliability, observability, SLOs, incident response, capacity planning, disaster recovery, and production readiness • Lead responsible adoption of agentic workflows and multi-agent systems with security, evaluation, and human-in-the-loop guardrails • Mentor Staff and Senior engineers and lead architecture reviews, technical RFCs, and design reviews • Partner with Product, Security, Risk, Data Science, Design, Analytics, Infrastructure, Compliance, and executive stakeholders • Establish a cohesive Identity & Trust platform enabling secure customer experiences across EarnIn

🎯 Exigences

• 8+ years of software engineering experience, with demonstrated progression into Staff/Senior Staff-level technical leadership • Proven track record defining and executing technical strategy for large-scale distributed systems or platform infrastructure • Demonstrated ability to lead architecture and delivery across multiple engineering teams and organizational boundaries, without relying on direct authority • Deep hands-on experience designing and operating secure, highly available distributed backend systems at scale • Strong expertise across identity, trust, security, privacy, or regulated-data systems, ideally spanning both consumer and enterprise experiences • Deep understanding of OAuth 2.0, OpenID Connect, SAML, RBAC/ABAC, MFA, identity federation, and token management • Experience with KYC/identity verification, fraud or risk systems, PII tokenization, data vaults, encryption, secure document/file processing, identity resolution, or user deduplication • Production experience with Okta, Auth0, Keycloak, or comparable identity infrastructure • Strong proficiency in at least one modern programming language such as Java, C#, Go, Kotlin, Python, or JavaScript/TypeScript • Deep experience with REST APIs, SQL/NoSQL data stores, Kafka or equivalent streaming platforms, Kubernetes, microservices, and event-driven architectures • Experience with SLOs, observability, incident response, capacity planning, disaster recovery, and production reliability • Hands-on experience building AI-assisted or agentic engineering workflows, including orchestration, tool use, evaluation, security boundaries, and guardrails • Exceptional architectural judgment balancing security, privacy, reliability, scalability, developer experience, regulatory requirements, and execution speed • Experience using AI-assisted development tools such as GitHub Copilot, Cursor, ChatGPT, or similar tools

🏖️ Avantages

• Equity • Benefits • Diverse and inclusive workplace culture • AI hiring-process opt-out without negative impact on candidacy or evaluation

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