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Описание вакансии
Текст:
TL;DR
Full-Stack Engineer (React/TypeScript/Go/AI): Building full-stack systems, platform infrastructure, and product experiences for user onboarding, product-led growth, and Cortex Code adoption with an accent on experimentation, intelligent engagement, and distributed services. Focus on designing frontend and backend variants, analyzing behavioral data and telemetry, scaling activation and provisioning services, and resolving complex production issues.
Location: Menlo Park, California, United States; hybrid
Salary: $200,000–$287,500 per year
Company
Snowflake develops the AI Data Cloud and platform capabilities that support data-driven product growth and developer adoption.
What you will do
- Design, build, and ship full-stack features and platform infrastructure for user onboarding, trial activation, product discovery, and engagement.
- Build React and TypeScript experiences, including onboarding flows, contextual prompts, starter workflows, and interactive components for Cortex Code.
- Develop and scale backend services for account provisioning, learning environments, trial activation, and anti-abuse safeguards.
- Drive product-led growth initiatives and experimentation from hypothesis development and test implementation through metric analysis.
- Analyze user behavior and platform telemetry to evaluate adoption, guide architecture, and improve product experiences.
- Participate in technical design, implementation, testing, deployment, operations, code reviews, and mentoring.
Requirements
- 6+ years of experience building large-scale distributed or user-facing production systems across frontend and backend.
- Experience with React and TypeScript, plus backend development in Go, Java, or Node.js/TypeScript.
- Experience with A/B testing, experimentation frameworks, or feature-flagging workflows.
- Experience with SQL, product telemetry, distributed systems, REST or gRPC APIs, relational databases, or data platforms.
- Strong coding, debugging, product thinking, collaboration, and communication skills.
- BS, MS, or PhD in Computer Science or a related field, or equivalent practical experience.
Nice to have
- Experience with AWS, Azure, or GCP.
Culture & Benefits
- AI-native, experimental approach to solving problems and improving how work gets done.
- Low-ego, fast-moving engineering environment focused on innovation and reliable product delivery.
- Close collaboration across engineering, product management, data science, and other functions.
- Emphasis on maintainability, observability, operational excellence, and continuous technical growth.
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