Scale Engineer

Staff Fullstack Engineer

Full Stack Engineer · Senior · Full Time

US-CA-Menlo ParkUSD 236k – 339k1mo ago
Apply for this role

Opens Snowflake's application page

Role

What you'll do.

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.

Responsibilities

  • 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.

Qualifications

What we look for.

Technical

  • Full-Stack Web Development

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

  • React and Modern JavaScript

    Expert-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 Databases

    Solid 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 Design

    Proven 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 Integration

    Practical 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 Field

    Formal computer science education or equivalent practical software engineering experience and demonstrated mastery of core computer science concepts.

Experience

  • Senior+ Level Full-Stack Engineering

    Minimum 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 Products

    Track 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 Development

    Successful 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 Contexts

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

  • Cross-Functional Technical Leadership

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

Skills

Required

  • React and JavaScript/TypeScript

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

  • Go or Java Backend Development

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

  • System Architecture and Design

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

  • Product Sense and User Experience

    Deep 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 Development

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

  • Technical Communication and Collaboration

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

Preferred

  • Data Warehousing and Analytics Fundamentals

    Nice to have

    Familiarity with data warehouse architecture, OLAP concepts, SQL optimization, and how modern analytics platforms process and serve data at scale.

  • AI and Machine Learning Integration

    Nice to have

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

  • Yegge Scale Proficiency (Higher Levels)

    Nice to have

    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 Tools

    Nice to have

    Hands-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)

    Nice to have

    Production experience building applications on major cloud platforms with expertise in containerization, microservices, serverless computing, and cloud-native design patterns.

  • Database Design and Optimization

    Nice to have

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

Tech stack

Languages

JavaScript/TypeScriptGoJava

Frameworks

ReactREST APIs and GraphQL

Databases

Snowflake Cloud Data PlatformRelational Databases (PostgreSQL, MySQL)NoSQL Databases

Tools

Git and Version ControlCI/CD PipelinesModern AI Tools and LLMsMonitoring and Observability

Other

Containerization and DockerCloud Platform ServicesData Visualization and Analytics

Compensation

Pay and benefits.

Base·USD 236,000 – 339,200

Equity·Stock options

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.

Process

Interview steps.

  1. 01

    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. 02

    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. 03

    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. 04

    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. 05

    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. 06

    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.

Full posting

Original listing.

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Snowflake is building AI BI: a new way for anyone in a company to ask questions and get accurate, auditable answers from their data, whether as visualizations or plain-language insights. We are looking for a senior+ level full-stack engineer to help build this experience end to end.

This is not about recreating every long-tail feature from legacy BI tools. We are building something lightweight, composable, and understandable by AI. The goal is to help business users, analysts, and data teams move from question to answer faster, while creating a product that is robust, scalable, and delightful to use.

You should be excited to work across the stack, move quickly, and make strong product and engineering tradeoffs. The ideal candidate has experience building durable systems at enterprise scale, but is also comfortable operating with startup speed and ambiguity.

In this role, you will

  • Build core product capabilities for AI-native dashboards and analytics experiences using JavaScript (React), Go, Java.

  • Drive projects end to end across frontend, backend, architecture, and product details.

  • Partner closely with product, design, and sister teams to deliver cohesive user experiences.

  • Make thoughtful tradeoffs between speed, quality, and long-term maintainability.

  • Help shape technical direction, raise the engineering bar, and mentor other engineers.

We’re looking for someone who

  • Has strong full-stack engineering skills and a track record of shipping customer-facing products.

  • Has operated at senior+ level.

  • Knows how to build robust, scalable systems in complex environments.

  • Can move fast, iterate quickly, and stay effective in ambiguous 0→1 spaces.

  • Has strong product sense and cares deeply about user experience.

  • Is highly fluent with modern AI tools and uses them to accelerate development.

  • Brings sound judgment, clear communication, and high ownership.

  • Bonus points if you’re familiar with and on the upper levels of the Yegge Scale

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s duty to keep customer information secure and confidential.

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

Interview prep

11 guides for Snowflake

Apply for this position

Redirects to Snowflake's application page.

Other roles

More at Snowflake.

View all 79 roles