
501 - 1000 employés
Fondée en 2017
☁️ SaaS
SaaS • Cloud
Cribl est une entreprise offrant un service basé sur le cloud, permettant aux utilisateurs de gérer et d'analyser leurs données via une application web. Le service inclut des fonctionnalités pour les comptes utilisateurs et une intégration avec Google pour l'authentification.
🕒 il y a 14 jours
🏄 California – Distant
💵 $185 000 - $215 000 / an
⏰ Temps Plein
🟠 Senior
🧑💻 Développeur Full-Stack
🦅 Parrain de Visa H1B
👻 Score fantôme 0%
🗣️🇺🇸🇬🇧 Anglais requis
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501 - 1000 employés
Fondée en 2017
☁️ SaaS
SaaS • Cloud
Cribl est une entreprise offrant un service basé sur le cloud, permettant aux utilisateurs de gérer et d'analyser leurs données via une application web. Le service inclut des fonctionnalités pour les comptes utilisateurs et une intégration avec Google pour l'authentification.
• Work closely with the founding team and highly skilled engineers to shape the future of search and analytics for observability data • Integrate cutting-edge Generative AI technologies with the Cribl Product suite to solve real customer problems • Productionize, launch, and operate AI-based technology integrations into Cribl’s core products • Partner with product and design leaders to prototype and experiment with new AI features • Stay up-to-date with the latest AI technologies and trends • Perform stand-by, on-call, or off-hours duties
• 5+ years of professional software engineering experience building AI features end to end in production across product, backend, and model integration layers • Fullstack experience designing and scaling React-based UIs and backend services or APIs, with strength in backend and systems thinking • Deep expertise in TypeScript or JavaScript • Experience with at least one backend language or runtime such as Node.js, Go, Java, or similar • Professional experience building AI agent-driven product experiences, including conversational interfaces, tool-calling patterns, RAG, prompt engineering, evaluation or guardrail techniques, and agent orchestration • Professional experience with Model Context Protocols (MCPs), agent frameworks, orchestration layers, and integrating external tools and data sources into LLM-based systems • Machine learning experience in applied settings where models or AI systems were shipped, integrated, evaluated, or operated in production • Familiarity with databases, APIs, observability, and production AI data and infrastructure patterns • Ability to problem-solve from first principles and make sound engineering trade-offs aligned with product and business goals • Ability to drive work independently through ambiguity • Excellent verbal and written communication skills • Ability to explain complex technical topics to cross-functional stakeholders in a remote or distributed environment
• Health insurance • Dental insurance • Vision insurance • Short-term disability insurance • Life insurance • Paid holidays • Paid time off • Fertility treatment benefit • 401(k) • Equity • Cribl Corporate Bonus Program
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