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Высокая зарплатаСовременный стекЧеткое определение ролиПродуктовая компания
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Fullstack Engineer (AI): Building and optimizing the App Runtime platform for Snowflake users with an accent on AI-assisted development and scalable infrastructure. Focus on designing end-to-end web application experiences, integrating complex backend systems, and ensuring high performance and security for developer-facing tools.
Location: Must be based in Toronto, Canada
Salary: CA$245,250 – CA$295,250
Company
Snowflake is a cloud-based data platform company powering the era of the agentic enterprise.
What you will do
Build AI-assisted, agentic development experiences spanning the full tech stack including React, Go, Python, and Java.
Author technical and design specifications for holistic system architecture and implement critical code.
Partner directly with developers building Snowflake Apps to translate needs into features and improvements.
Raise the bar for quality, reliability, and performance through code reviews and mentorship.
Coordinate closely with sister teams such as Cortex AI, Container Platform, and Security.
Requirements
Must be based in Toronto, Canada
Bachelor’s degree in Computer Science, Engineering, or a related field.
5+ years of experience in frontend or full-stack software development with a track record of shipping high-scale systems.
Deep understanding of modern web application architecture, API design, security, and performance.
Proficiency in TypeScript/JavaScript, with additional experience in Go, Python, or Java.
Strong communication skills with the ability to drive consensus across engineering, design, and product teams.
Nice to have
Experience shipping 0-1 products balancing feature completeness and time-to-market.
Experience with multi-tenant systems and developer tooling with a security-first posture.
Technical leadership experience as an architect or tech lead for customer-facing products.
Culture & Benefits
Opportunity to work on an early-stage, high-impact product.
Collaborative environment focused on innovation and AI-native problem solving.
Emphasis on low-ego, experimental mindset and rapid testing of emerging capabilities.
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