Staff Fullstack Engineer

Snowflake2 days ago

Location

US-CA-Menlo Park

Type

Full Time

Salary

USD 236,000 – 339,200

Level

Senior

Role

Full Stack Engineer

Posted

Jul 7, 2026

Full TimeSenior

The role

Summary

Staff Full Stack Engineer at Snowflake building AI-native business intelligence and analytics experiences. You'll architect and develop end-to-end products using React, Go, and Java, working with cross-functional teams to deliver scalable, customer-facing solutions at enterprise scale. This role requires senior+ level full-stack expertise, strong product sense, and proficiency with modern AI tools in a fast-paced, startup-like environment within an established cloud computing leader.

What you'll do

Full-Stack Product Development: Build and ship core AI-native dashboard and analytics capabilities across the entire technology stack, spanning React frontend interfaces, Go and Java backend systems, and cloud infrastructure components. Drive feature delivery from conception through production, ensuring alignment with product roadmap and user requirements.

End-to-End Project Ownership: Take ownership of complete project lifecycles spanning frontend architecture, backend system design, database optimization, and product specifications. Make deliberate engineering tradeoffs between development velocity, code quality, system reliability, and long-term maintainability in complex enterprise environments.

Cross-Functional Collaboration: Partner closely with product managers, UX/UI designers, data scientists, and peer engineering teams to design cohesive user experiences and establish shared technical vision. Communicate technical constraints and opportunities to non-technical stakeholders while advocating for sound architecture decisions.

Technical Leadership and Mentorship: Shape the technical direction of the AI BI platform, establish engineering best practices, elevate code quality standards across teams, and mentor junior and mid-level engineers. Participate in architectural reviews, code quality initiatives, and knowledge-sharing sessions to strengthen overall engineering capability.

AI-Augmented Development: Leverage modern AI tools and assistants as high-trust collaborators to accelerate development velocity, improve code quality, and explore emerging capabilities. Use AI-driven development practices to rapidly iterate on features, generate insights, and solve complex technical challenges in ambiguous product spaces.

Scalable Systems Architecture: Design and implement robust, scalable systems capable of supporting enterprise-scale data workloads and analytics operations. Ensure systems are designed for high availability, performance optimization, security compliance, and operational observability across distributed cloud infrastructure.

What we look for

Technical

Full-Stack Web DevelopmentProduction-level proficiency across frontend and backend development, with ability to architect complete systems and make informed technology choices across multiple layers.

React and Modern JavaScriptExpert-level experience building complex, performant user interfaces with React, including component architecture, state management, performance optimization, and responsive design patterns.

Backend Systems (Go and/or Java)Strong experience building scalable backend services in Go, Java, or similar languages, with expertise in API design, database optimization, and distributed systems concepts.

Cloud Infrastructure and DatabasesSolid understanding of cloud computing architectures, relational and NoSQL databases, data warehousing concepts, and the ability to design systems that leverage cloud-native services.

Enterprise-Scale System DesignProven ability to architect systems handling significant scale, data volume, and user concurrency while maintaining performance, reliability, and security standards required in enterprise environments.

AI Tools and LLM IntegrationPractical fluency with modern AI tools, large language models, and AI-assisted development workflows. Experience integrating AI capabilities into products or using AI to enhance development processes.

Education

Bachelor's Degree in Computer Science or Related FieldFormal computer science education or equivalent practical software engineering experience and demonstrated mastery of core computer science concepts.

Experience

Senior+ Level Full-Stack EngineeringMinimum 7-10 years of software engineering experience with at least 3-4 years at senior level or equivalent, demonstrating progression from individual contributor to technical leadership roles.

Shipping Customer-Facing ProductsTrack record of designing, building, and launching multiple consumer or enterprise-facing products from concept through production, with demonstrated impact on user adoption and product success metrics.

0-to-1 Product DevelopmentSuccessful experience in early-stage product development where ambiguity is high, requirements evolve rapidly, and the ability to move quickly and iterate is essential to success.

Complex Systems in Enterprise ContextsHands-on experience building and maintaining robust systems in complex, large-scale enterprise environments with demanding reliability, security, and compliance requirements.

Cross-Functional Technical LeadershipDemonstrated ability to lead technical initiatives across multiple teams, influence architecture decisions, and mentor other engineers while balancing product velocity with engineering excellence.

Skills

Required skills

React and JavaScript/TypeScriptAdvanced proficiency in building modern, scalable frontend applications with React, including hooks, context API, state management patterns, and performance optimization.

Go or Java Backend DevelopmentProduction experience with Go and/or Java for building backend services, APIs, and distributed systems with emphasis on performance and scalability.

System Architecture and DesignAbility to design scalable, maintainable systems with consideration for performance, reliability, security, and operational concerns in complex environments.

Product Sense and User ExperienceDeep understanding of user-centered design principles, strong opinions on what makes products delightful and intuitive, and ability to advocate for user needs in technical decisions.

Rapid Iteration and Agile DevelopmentDemonstrated ability to move quickly, ship incrementally, adapt to changing requirements, and make strong technical tradeoffs in fast-paced startup-like environments.

Technical Communication and CollaborationClear communication of complex technical concepts to both technical and non-technical stakeholders, strong collaborative skills, and high ownership of outcomes.

Nice to have

Data Warehousing and Analytics FundamentalsFamiliarity with data warehouse architecture, OLAP concepts, SQL optimization, and how modern analytics platforms process and serve data at scale.

AI and Machine Learning IntegrationExperience integrating AI/ML capabilities into products, working with LLMs, prompt engineering, or building AI-augmented development workflows.

Yegge Scale Proficiency (Higher Levels)Familiarity with the Yegge Scale of software engineering levels, demonstrating deep expertise in system design, architecture, and ability to operate effectively at senior+ levels of technical contribution.

BI and Data Visualization ToolsHands-on experience with business intelligence platforms, data visualization libraries, or analytics dashboarding tools that provide context for building next-generation BI experiences.

Cloud-Native Architecture (AWS, Azure, GCP)Production experience building applications on major cloud platforms with expertise in containerization, microservices, serverless computing, and cloud-native design patterns.

Database Design and OptimizationStrong expertise in database architecture decisions, query optimization, indexing strategies, and selecting appropriate database technologies for different use cases.

Compensation & benefits

Salary

USD 236,000 – 339,200 (annual)

Stock options

Available

Benefits

Comprehensive Health Insurance

Medical, dental, and vision coverage with competitive rates and flexible plan options to accommodate diverse healthcare needs.

Equity and Stock Options

Significant equity grants as part of total compensation package, enabling participation in company success and long-term wealth building aligned with company growth.

401(k) Retirement Plan

Company-matched 401(k) retirement savings plan with competitive matching percentages to support long-term financial planning and security.

Paid Time Off and Flexibility

Generous paid vacation, sick leave, and flexible work arrangements supporting work-life balance and wellbeing in a high-performance environment.

Professional Development and Learning

Investment in continuous learning through conference attendance, training programs, mentorship opportunities, and time allocation for skill development and technical growth.

Remote Work Flexibility

Options for remote work arrangements enabling geographic flexibility and work-life integration while collaborating with distributed teams.

Parental Leave

Comprehensive parental leave policies supporting family planning and the wellbeing of new parents across diverse family structures.

Mental Health and Wellness Programs

Access to mental health resources, wellness programs, fitness benefits, and employee assistance programs supporting holistic wellbeing.

Interview process

1
Initial Recruiter Screen — Screening call with a Snowflake recruiter (20-30 minutes) to discuss background, motivation for the role, and assess alignment with senior+ level requirements and AI-native product development philosophy.
2
Technical Coding Interview — Collaborative engineering conversation (60 minutes) focusing on full-stack problem-solving, system design tradeoffs, and practical coding ability. Expect questions spanning frontend architecture, backend scalability, database optimization, and real-world technical decisions.
3
System Architecture Design — Technical interview (60 minutes) diving deep into complex system design, architectural decisions, scalability considerations, and how you approach building robust enterprise-grade solutions. May include designing analytics systems or data query pipelines.
4
Product and Collaboration Round — Conversation with product manager or cross-functional team members (45-60 minutes) exploring product sense, user experience thinking, collaboration style, and ability to balance engineering tradeoffs with product requirements.
5
Leadership and Mentorship Discussion — Interview with senior engineering leader (45-60 minutes) focused on technical leadership philosophy, mentorship approach, experience raising the engineering bar, and vision for shaping team and platform direction.
6
Executive Alignment Meeting — Final discussion with engineering leadership or executive stakeholder (30-45 minutes) to ensure cultural fit, discuss career growth opportunities at Snowflake, and answer questions about the team's vision for AI BI platform.