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Описание вакансии
Текст:
TL;DR
Senior Software Engineer (AI): Building and scaling Snowsight data experiences with an accent on full-stack development, modern web architecture, and agentic AI across Go, React, and Java. Focus on leading cross-team architecture and delivery, solving reliability and customer-experience challenges, and mentoring engineers through complex product development.
Location: Bellevue, Washington, United States
Salary: $236K–$339.2K annually
Company
Snowflake provides a cloud data platform and is building AI-powered experiences for data professionals through Snowsight.
What you will do
- Own a product area end to end, including service health, quality, reliability, and customer experience.
- Lead large cross-team projects from architecture through delivery and make principled technical trade-offs.
- Build and scale full-stack experiences using Go, React, and Java, including agentic AI-enabled development.
- Partner with product management and design to define and deliver effective customer experiences.
- Shape product vision, multi-quarter planning, and systemic solutions for future customer needs.
- Mentor engineers and raise engineering standards through code and design reviews.
Requirements
- 10+ years of hands-on software development experience, including significant full-stack development and responsive design.
- Experience leading large or highly complex projects spanning multiple teams.
- Strong understanding of modern web application architecture, API design, security, performance, and scale.
- Technical leadership skills, including decision-making under ambiguity and proactive problem solving.
- Experience mentoring senior and junior engineers and developing technical expertise in others.
- Strong written, verbal, and technical communication across engineering, product, and design.
Nice to have
- Experience shipping mobile experiences leveraging AI.
- Knowledge of data development tools, data infrastructure, or machine learning.
Culture & Benefits
- Fast-moving environment with an experimental, AI-native working style.
- Opportunity to work in a startup-like team within Snowflake, iterating quickly and shipping frequently.
- Responsibility for maintaining confidentiality and following data security standards.
- Opportunity to shape high-impact data products used to turn data into knowledge and opportunities.
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