Senior Software Engineer, Cribl AI

🕒 August 12

🏄 California – Remote

🏄 California – Remote

💵 $185k - $215k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 21%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 91 days.
• Jobs at this company usually fill in 47 days.
• Reposted once.

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Cribl

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2017

☁️ SaaS

SaaS • Cloud

Cribl is a company providing a cloud-based service, allowing users to manage and analyze their data through a web application. The service includes features for user accounts and integration with Google for authentication.

📋 Description

• Work closely with the founding team and highly skilled engineers to shape the future of search and analytics of observability data • Integrate cutting-edge Generative AI technologies with the Cribl Product suite to solve real customer problems • Work with development partners and key stakeholders to iteratively design, develop, and deliver customer-facing products and surfaces • 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

🎯 Requirements

• 5+ years of professional software engineering experience building AI features end to end in production across product, backend, and model integration layers • Proven fullstack experience, including designing and scaling React-based UIs and backend services or APIs, with strength in backend and systems thinking • Deep expertise in TypeScript or JavaScript plus 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 connected to reliable backend and data systems • 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, ideally in applied settings where models or AI systems were shipped, integrated, evaluated, or operated in production • Familiarity with data and infrastructure patterns for AI systems, including databases, APIs, observability, and integrating external tools, services, and data sources in production environments • Ability to problem-solve from first principles, make sound engineering trade-offs aligned with product and business goals, and drive work independently through ambiguity • Excellent communication skills, both verbal and written, with the ability to explain complex technical topics to cross-functional stakeholders in a remote or distributed environment

🏖️ Benefits

• 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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