Senior Software Engineer, Cortex Quality

Навыки

• Коммуникация
• Отладка и поиск ошибок
• Лидерство
• LLM
• Мониторинг и observability
• Python
• RAG

О компании и продукте

• 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.
• 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.

Требования

• 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
• Deep hands-on experience with agentic coding tools and real intuition for model strengths, failure modes, and prompting limits

Будет плюсом

• 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
• Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth
• We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake
• How do you want to make your impact?
• For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com

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