Senior Engineer – Auth

Stelle nicht auf LinkedIn

🕒 vor 3 Monaten

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟠 Senior

🧑‍💻 Full-Stack-Entwickler

🦅 H1B-Visum-Sponsor

info

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of Datum

Datum

11 - 50 Mitarbeiter

Gegründet 2024

☁️ SaaS

🤖 Künstliche Intelligenz

🏢 Unternehmen

SaaS • Artificial Intelligence • Enterprise

Datum ist ein Unternehmen, das eine offene Netzwerk-Cloud-Plattform entwickelt, die Cloud- und KI-nativen Entwicklern die Kontrolle über die grundlegende Internetinfrastruktur ermöglicht, ohne dass ein dediziertes Netzwerkteam erforderlich ist. Sein Produkt bietet cloud-native Netzwerk- und Laufzeitdienste – DNS, Proxys, Gateways, VPCs/Tunnel, Metriken, Geheimnisse, Domains und Entwicklerwerkzeuge – verpackt als Open-Source-Plattform, die durch AGPLv3 unterstützt wird und von modernen Dienstanbietern und Unternehmen implementiert werden soll. Datum richtet sich an Entwickler und Plattformen, die private, deterministische Konnektivität und Überwachungsmöglichkeiten für KI-Agenten, Edge-Dienste und spezialisierte Clouds benötigen.

Beschreibung

• Design, implement, and run Datum's core authentication and authorization stack • Build customer-facing solutions to help our alt-cloud ecosystem thrive • Scale the management, monitoring, and metering of every actor in our system, human or not • Partner with leadership to advance projects with key customers, partners, and suppliers • Design distributed solutions that scale from startup to hyperscale usage patterns • Implement intelligent traffic routing, load balancing, and failover • Build observability, monitoring, and diagnostic tools for complex environments • Optimize control plane performance for AI workloads and high-bandwidth applications with our network team • Drive technical networking decisions in collaboration with our open-source community • Review and mentor contributions from external developers on networking components • Maintain high code quality standards and documentation for network APIs • Represent Datum at conferences and in technical working groups • Design networking solutions that integrate seamlessly with Kubernetes and AI patterns • Build network policies and security frameworks for multi-tenant cloud environments • Implement service mesh integration and east-west traffic optimization • Ensure compatibility with major cloud provider networking services (AWS, GCP, Azure)

🎯 Anforderungen

• Strong working knowledge of OAuth in complex production environments with multiple IdPs, including social and commercial (AWS IAM, Azure Entra, GCP, Auth0, Okta, etc.) • Strong working knowledge of authorization (ABAC, RBAC, PBAC) and its ecosystem (Zanzibar, SpiceDB, OpenFGA, Cedar) • Experience with Workload Identity Federation and/or SPIFFE and opinions about where the puck is going • 5+ years of running large-scale production systems on Kubernetes or similar, with security as a first principle • Strong experience with distributed systems design, security, auth, consensus algorithms, async reconciliation, and fault tolerance • Enough familiarity with Kubernetes patterns and APIs that you can speak custom resources and admission controllers • Strong experience with infrastructure as code (Flux, Terraform, Pulumi) for provisioning • Familiarity with SRv6, edge computing, or modern network routing would be a huge plus • Track record of contributing to or maintaining networking-focused open-source projects • Experience mentoring engineers and driving technical decision-making in teams • Understanding of open-source governance, community building, and public development • Passion for building networking tools that other developers and operators love to use

🏖️ Vorteile

• Open source leadership opportunities • Significant public development work • Engaging with community through GitHub issues, RFCs, and technical discussions • Speaking at networking conferences and writing technical blog posts • Collaborating with external contributors, cloud providers, and other partners • Maintaining high standards for code quality, performance, and documentation

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