
501 - 1000 Mitarbeiter
Gegründet 2017
☁️ SaaS
SaaS • Cloud
Cribl ist ein Unternehmen, das einen Cloud-basierten Dienst anbietet, mit dem Benutzer ihre Daten über eine Webanwendung verwalten und analysieren können. Der Dienst umfasst Funktionen für Benutzerkonten und die Integration mit Google zur Authentifizierung.
🕒 vor 2 Monaten
🏄 California – Remote
💵 $185.000 - $215.000 / Jahr
⏰ Vollzeit
🟠 Senior
🧑💻 Full-Stack-Entwickler
🦅 H1B-Visum-Sponsor
👻 Geisterscore 6%
🗣️🇺🇸🇬🇧 Englisch erforderlich
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501 - 1000 Mitarbeiter
Gegründet 2017
☁️ SaaS
SaaS • Cloud
Cribl ist ein Unternehmen, das einen Cloud-basierten Dienst anbietet, mit dem Benutzer ihre Daten über eine Webanwendung verwalten und analysieren können. Der Dienst umfasst Funktionen für Benutzerkonten und die Integration mit Google zur Authentifizierung.
• 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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