# Sr. Staff Software Engineer, Cribl AI at Cribl > Remote · United States · Staff · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Acribl%3A5992317004 (read 2026-11-13). ## Facts (observed) - Company: [Cribl](https://alderhq.app/companies/cribl) - Location text: Remote - United States; US - California - Where it can be done from (inferred): Remote · United States (evidence: "Remote role open worldwide") - Posted: 2026-06-07 (158 days ago) - First seen by alder: 2026-11-04 · last verified: 2026-11-13 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://cribl.io/job-detail/?gh_jid=5992317004 - Skills listed (inferred): LLMs, Distributed systems ## Pay and sponsorship - Posted pay: $250k–$300k per year (from the listing's pay field) - Market band for similar posted roles (United States, n 2927): p25 $184k, median $215k, p75 $252k ## Description (the employer's text) Join the company that’s building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world’s biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what’s next. We’re one of the fastest‑growing private companies and a leading player in a massive, fast‑moving market. With a global workforce, we’re remote‑first and grounded in a simple idea: software is a people business. Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd. ### Why You'll Love This Role Join Cribl's AI Systems team and help build the foundational infrastructure powering Generative and Agentic AI capabilities across Cribl's product suite. You'll work at the intersection of distributed systems, AI inference infrastructure, model routing, and agentic technologies, building scalable platforms that enable our Product and Research teams to develop, evaluate, and bring cutting edge AI capabilities into production. Our team is responsible for building and operating critical AI infrastructure, including multi provider model routing, inference services, Model Context Protocol (MCP) integrations, AI observability, and SecIT benchmarking and evaluation systems for IT and security workflows. You'll have the opportunity to solve challenging engineering problems spanning performance, scalability, reliability, and cost efficiency while shaping the architecture of AI systems used across Cribl's products. You'll collaborate closely with research, and product teams to turn emerging AI capabilities into production ready systems that deliver real customer value. On top of it all, you'll have fun. Cribl strives to be a great place to work for everyone. ### As An Active Member Of Our Team, You Will... - Work closely with Product and Research engineering teams to prototype, experiment with, evaluate, and productionize new AI capabilities. - Design, build, and operate scalable, highly available backend services and distributed systems supporting AI/ML workloads. - Develop and optimize model routing and inference infrastructure across multiple LLM and model providers, balancing latency, throughput, reliability, and cost. - Build infrastructure supporting agentic AI applications, including MCP integrations, tool connectivity, and secure interactions with enterprise systems. - Develop and maintain AI observability, evaluation, and benchmarking systems to measure model quality, inference performance, and production reliability. - Bridge research and production by building scalable AI/ML infrastructure, evaluation frameworks, and data pipelines. - Productionize, launch, and operate AI-based technologies integrated into Cribl's core products, solving real world customer problems. - Drive technical architecture and design decisions, identifying tradeoffs across scalability, performance, operational complexity, and maintainability. - Evaluate emerging AI models, inference technologies, and frameworks for production readiness and adoption. - Collaborate across engineering teams, contribute to technical design reviews, and help establish best practices for building reliable AI powered systems. - Mentor and coach junior engineers, providing technical guidance and support through design reviews, code reviews, and hands-on collaboration to help them grow their technical skills and engineering judgment. - Participate in oncall rotations and support the operational reliability of production AI services. ### If You've Got It – We Want It - Bachelor's degree in Computer Science, Engineering, or equivalent practical experience, with 7+ years of software engineering experience. - Strong experience designing, building, and operating distributed systems, scalable backend services, or cloud-native infrastructure. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Acribl%3A5992317004 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.