# Senior Software Engineer, Cortex Quality **Company**: Snowflake **Location**: Menlo Park, CA **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Salary**: $200K – $270K **Category**: Engineering **Industry**: Technology **Apply**: https://jobs.ashbyhq.com/snowflake/c0b3a0bb-f3bd-4df2-863e-5abe846ba1c0?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_44251468-3a1 ## Description At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. **Cortex Code is Snowflake’s coding agent for building with data.** It ships inside the platform that thousands of the world’s largest enterprises , including a large share of the Forbes Global 2000 , run their data on, which means the quality of this agent is felt by the data teams behind a meaningful slice of the global economy. ## About the Role This is a measurement-first role that owns the quality and efficiency of Cortex Code end to end: how good the agent is, how much it costs to run, and how reliably it behaves in production. You will take agents from research capability to real, measurable user value , turning fuzzy “the agent feels worse” signals into hard metrics, running the experiments that move them, and shipping the changes that stick. You will work on a small, high-powered modeling and infrastructure team where your work reaches every developer building on Snowflake. ## What you will do in this role - Take agents from prototype to production: design and refine agent behaviors for real coding and data-engineering workflows, and make them reliable enough to depend on. - Own agent quality end to end: build eval harnesses, diagnose failure modes from real agent trajectories, and run experiments that hillclimb the metrics that matter. - Drive down cost and latency without regressing quality: prompt caching, context compaction, tool-result offloading, and cheaper model routing for sub-tasks. At Snowflake scale, efficiency is user value. - Debug production failures and systematically increase robustness: close the loop from a customer’s broken run back to a fix and a regression test. - Build the data pipelines that feed real-world task insights back into evals and modeling. - Onboard and bake off frontier models: measure their strengths and failure modes, and decide where each belongs in the product. - Partner with product and infra: shape user-facing agent behavior, and set the metrics and standards that define a successfully completed complex task. ## Requirements - Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field. Master’s or higher preferred but not a requirement. - 6+ years of experience shipping software in production, including AI/LLM features. - Fluency in at least one of Python, TypeScript, or Go, and willingness to work across all three. - A measurement-first, systems-thinking instinct: you optimize for user outcomes over isolated metrics, and you can design an eval that is not fooling you (sampling, ground-truth quality, leakage, noise). - Comfort debugging complex, unpredictable, real-world failures. - Strong communication skills: you can make a quality or cost result legible to engineers, product, and leadership, and collaborate effectively in a team environment. ## Nice to have - Deep hands-on experience with agentic coding tools and real intuition for model strengths, failure modes, and prompting limits. - Prior work on eval harnesses, LLM observability, or safety/guardrails in production. - Background in data engineering, data modeling, analytics, retrieval/RAG, or semantic layers, which is highly relevant for data-centric coding agents. - Experience working with large-scale datasets or production system logs. ## You may be a particularly good fit if you - Are a power user of modern coding agents and want to turn that intuition into systematic measurement and improvement. - Have built and owned complex systems , pipelines, orchestration, or software with substantial state, branching logic, and operational requirements. - Thrive in high-intensity environments with short feedback loops and high standards for rigor. - Take problems to completion independently: you don’t stop at a prototype; you care about production reliability and clear metrics. - Are genuinely bothered by numbers that do not reconcile. ## Skills ### Required - Python - TypeScript - Go - AI/LLM - measurement-first - systems-thinking ### Nice to have - agentic coding tools - eval harnesses - LLM observability - safety/guardrails - data engineering - data modeling - analytics - retrieval/RAG - semantic layers --- Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/snowflake/c0b3a0bb-f3bd-4df2-863e-5abe846ba1c0?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)