Verified Tech Jobs & Hiring Companies, Updated Every 24 Hours

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. We are hiring a Product Engineer for our Mobile Team. This team owns Snowflake's most visible AI products — Snowflake CoWork, our agentic AI workspace for enterprise knowledge workers, and Snowflake CoCo (Cortex Code), our AI coding agent. In this role, you will build the mobile experiences that bring agentic AI to users wherever they work, spanning the full product lifecycle from conception through deployment. AS AN ENGINEER AT SNOWFLAKE, YOU WILL: Build and ship polished, production-quality mobile features for Snowflake's agentic AI products, taking ideas from design concepts through App Store / Play Store releases. Write clean, performant, and maintainable TypeScript and React Native code while adhering to engineering best practices. Actively participate in mobile and frontend architecture discussions, design reviews, and peer code reviews to ensure code quality and system scalability. Collaborate closely with product managers and UX/UI designers to convert user requirements into detailed technical tasks and robust mobile UI components. Partner with backend and cross-functional teams to integrate APIs and support backend services that power AI inference and data retrieval. Contribute to the web frontend where needed — this team works across mobile, web, and the broader agentic ecosystem. Use AI coding assistants (such as Claude Code, Cursor, Codex, or similar tools) as an integral component of your day-to-day software development workflow. OUR IDEAL ENGINEER WILL HAVE: 2+ years of professional experience designing and building production mobile applications with React Native. Strong product mindset — you care deeply about user experience and can be trusted to own features end-to-end, from ambiguous problem to shipped outcome. Strong hands-on proficiency in JavaScript/TypeScript and the modern React ecosystem. Solid understanding of core computer science fundamentals, including algorithms, data structures, UI design patterns, and state management. Proven ability to turn design mocks and product specs into production-quality code. Experience with mobile app fundamentals: navigation, gesture handling, offline behavior, push notifications, and app store release processes. Strong verbal and written communication skills for cross-functional collaboration across engineering, product, and design. BS/MS/PhD in Computer Science, Engineering, or a related field (or equivalent practical experience). 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

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. There is only one Data Cloud. Snowflake's founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn't stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow. Our product offering runs on multiple cloud providers including Amazon Web Services, Microsoft Azure and Google Cloud. Our infrastructure self-optimizes, provides high availability and data protection across cloud providers so our users can focus on using their data, not managing it. Our team is called the Cloud Provisioning team, the core underpinning of what makes Snowflake work across multiple cloud providers. We are creating an abstraction layer between each of our cloud providers and the rest of Snowflake that is optimized for Snowflake's unique needs. We balance usability, cognitive load, performance, and cost for the rest of Snowflake. We are actively hiring talented distributed systems developers. This role is a unique opportunity to make a significant impact in shaping the vision, architecture and approach for the core services that the rest of Snowflake operates on. As a Senior Distributed Systems Engineer at Snowflake you will: Solve real business needs at large scale by applying your software engineering and analytical problem solving skills. Design and implement scalable distributed systems for our services layer. Analyze fault-tolerance and high availability issues, performance and scale challenges, and solve them. Lead cross-functional initiatives, and collaborate with engineers, product managers and Technical Program Managers across teams. Understand trade-offs between consistency, durability and costs to build solutions which can meet the demands of rapidly growing services. Ensure operational readiness of the services and meet the commitments to our customers regarding availability and performance. Our ideal Distributed Systems Engineer will have: 7+ years industry experience designing, building and supporting large scale systems in production. 2+ years experience in leading a group of junior and senior engineers. Experience building large scale distributed fault tolerant services and control planes including components of compute, storage and networking configuration and monitoring. Excellent understanding of low level operating systems concepts including multi-threading, memory management, networking and storage, performance and scale. Strong CS fundamentals including data structures, algorithms, and distributed systems. Systems programming skills including multi-threading, concurrency, etc. Fluency in C++ or Java preferred. Track record of identifying and implementing creative solutions. Experience with cloud infrastructure: AWS, Azure or Google Cloud. BS in Computer Science; Masters or PhD preferred. Why join the Engineering team at Snowflake? Build an industry-leading Cloud Data Platform. Solve challenging technical problems related to security, parallel and distributed systems, programming, resource management, large-scale system maintenance, and more! Work closely with our customers & partners, understand their use cases & needs, think strategically to seek the right problem to solve at the right time, and innovate with rigor. Learn about and contribute to: Super-robust and secure enterprise SaaS platform that services thousands of customers and hundreds of millions of complex queries daily. Highly-scalable and reliable cloud platform that runs on hundreds and thousands of machines. Optimizing performance and resource management in Java systems. Join a world-class team of both industry veterans and rising stars. 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. 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

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. About the Team The Apps & Experiences (AppEx) organization powers the unified web user experience (Snowsight) for Snowflake. Every major Snowflake customer interacts with our platform through these surfaces, making AppEx central to both customer satisfaction and revenue growth. Within Appex, our team sits at the intersection of AI, platform, and user experience. We are on a mission to create an AI‑first, scalable, maintainable, and extensible UI platform from which all Snowflake user experiences can be built. The team owns: The serving layer that powers Snowsight, Snowflake CoWork, and UX features Developer tooling that enable our engineers to move fast and deliver Frontend infrastructure and shared services for product teams CI pipelines that ensure fast and reliable builds Testing and validation platform that maintains code and product quality The monitoring and logging stack that ensures observability and trust What You Will Do Snowsight is a large, complex single-page application serving interactive analytics, data engineering, and AI workloads. As our user base and feature surface grow, we must treat performance as a first-class citizen. You will own the strategy, build the tooling, and drive the culture needed to keep Snowsight fast, and you'll partner across our platform and product teams to make performance a default rather than an afterthought. This is a high-leverage role: the systems and practices you build will affect every page load, interaction, and data-rendering path in Snowsight. You will: Define and drive the web performance strategy for Snowsight, setting goals grounded in real user metrics (Core Web Vitals, custom interaction metrics, time-to-visually-complete for data-heavy views). Build and maintain performance infrastructure: RUM/synthetic monitoring pipelines, regression detection in CI, bundle analysis, performance dashboards, and alerting, making performance visible and actionable for every product team. Identify and fix systemic performance bottlenecks across the application lifecycle: initial load, code splitting and lazy loading, rendering (React), data fetching and caching, large dataset rendering (virtualization, streaming), and runtime memory/CPU efficiency. Optimize build and delivery: work with the team on bundle size, tree-shaking, chunk splitting strategies, CDN caching, and resource prioritization (preload, prefetch, HTTP/2+ multiplexing). Establish performance budgets and guardrails integrated into CI/CD so regressions are caught before they ship. Partner with product teams to design performance-aware architectures for new features, providing guidance on data-fetching patterns, rendering strategies, and progressive loading. Mentor engineers across the org on performance best practices, conduct reviews of critical performance paths, and build a culture where teams own performance as a quality attribute. Represent Snowflake's frontend performance perspective in cross-org architectural decisions (e.g., API design, service infrastructure, caching layers) where frontend impact is significant. What We’re Looking For Our ideal Staff Software Engineer will have: 8+ years of software engineering experience , with deep expertise in web performance for large-scale, complex web applications. Expert-level JavaScript/TypeScript and React knowledge , including React rendering internals and experience diagnosing and resolving performance issues in large React codebases. Strong understanding of browser performance fundamentals : the critical rendering path, layout/paint/composite pipeline, main-thread scheduling, Web Workers, browser DevTools/Performance panel profiling, etc. Experience designing and operating RUM and synthetic performance monitoring at scale (e.g., custom metrics collection, percentile-based alerting, anomaly detection for regressions). Deep knowledge of build tooling and delivery optimization : Webpack/Vite/Bazel, code splitting, tree-shaking, chunk strategies, lazy loading, CDN behavior, caching headers, resource hints, and their measurable impact on load performance. Experience with large dataset rendering: virtualization (windowing), canvas/WebGL rendering for grids or charts, streaming/incremental rendering, and efficient DOM management. Strong communication and influence skills: able to set technical direction, build consensus across teams, and explain performance trade-offs to both engineers and product stakeholders. Experience working in a platform or infrastructure role where your customers are other engineering teams. Ability to work on-site at our Bellevue, WA or Menlo Park, CA offices. Preferred Qualifications Familiarity with server-side rendering, streaming SSR, or edge rendering patterns and their performance implications. Familiarity with browser engines or internals (V8, Chromium, Webkit). Contributions to web performance standards, browser APIs, or open-source performance tooling. Experience with observability platforms (Datadog, Grafana, etc) and building internal performance tooling. Background in data-intensive UIs: query editors, result grids, dashboards, notebooks, or similar products where rendering performance under large data volumes is critical. If you’re excited about building the platform and systems that power how the world’s largest companies experience Snowflake, we’d love to hear from you. 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

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. About the Team The Apps & Experiences (AppEx) organization powers the unified web user experience (Snowsight) for Snowflake. Every major Snowflake customer interacts with our platform through these surfaces, making AppEx central to both customer satisfaction and revenue growth. Within Appex, our team sits at the intersection of AI, platform, and user experience. We are on a mission to create an AI‑first, scalable, maintainable, and extensible UI platform from which all Snowflake user experiences can be built. The team owns: The serving layer that powers Snowsight, Snowflake CoWork, and UX features Developer tooling that enable our engineers to move fast and deliver Frontend infrastructure and shared services for product teams CI pipelines that ensure fast and reliable builds Testing and validation platform that maintains code and product quality The monitoring and logging stack that ensures observability and trust What You Will Do Snowsight is a large, complex single-page application serving interactive analytics, data engineering, and AI workloads. As our user base and feature surface grow, we must treat performance as a first-class citizen. You will own the strategy, build the tooling, and drive the culture needed to keep Snowsight fast, and you'll partner across our platform and product teams to make performance a default rather than an afterthought. This is a high-leverage role: the systems and practices you build will affect every page load, interaction, and data-rendering path in Snowsight. You will: Define and drive the web performance strategy for Snowsight, setting goals grounded in real user metrics (Core Web Vitals, custom interaction metrics, time-to-visually-complete for data-heavy views). Build and maintain performance infrastructure: RUM/synthetic monitoring pipelines, regression detection in CI, bundle analysis, performance dashboards, and alerting, making performance visible and actionable for every product team. Identify and fix systemic performance bottlenecks across the application lifecycle: initial load, code splitting and lazy loading, rendering (React), data fetching and caching, large dataset rendering (virtualization, streaming), and runtime memory/CPU efficiency. Optimize build and delivery: work with the team on bundle size, tree-shaking, chunk splitting strategies, CDN caching, and resource prioritization (preload, prefetch, HTTP/2+ multiplexing). Establish performance budgets and guardrails integrated into CI/CD so regressions are caught before they ship. Partner with product teams to design performance-aware architectures for new features, providing guidance on data-fetching patterns, rendering strategies, and progressive loading. Mentor engineers across the org on performance best practices, conduct reviews of critical performance paths, and build a culture where teams own performance as a quality attribute. Represent Snowflake's frontend performance perspective in cross-org architectural decisions (e.g., API design, service infrastructure, caching layers) where frontend impact is significant. What We’re Looking For Our ideal Staff Software Engineer will have: 8+ years of software engineering experience , with deep expertise in web performance for large-scale, complex web applications. Expert-level JavaScript/TypeScript and React knowledge , including React rendering internals and experience diagnosing and resolving performance issues in large React codebases. Strong understanding of browser performance fundamentals : the critical rendering path, layout/paint/composite pipeline, main-thread scheduling, Web Workers, browser DevTools/Performance panel profiling, etc. Experience designing and operating RUM and synthetic performance monitoring at scale (e.g., custom metrics collection, percentile-based alerting, anomaly detection for regressions). Deep knowledge of build tooling and delivery optimization : Webpack/Vite/Bazel, code splitting, tree-shaking, chunk strategies, lazy loading, CDN behavior, caching headers, resource hints, and their measurable impact on load performance. Experience with large dataset rendering: virtualization (windowing), canvas/WebGL rendering for grids or charts, streaming/incremental rendering, and efficient DOM management. Strong communication and influence skills: able to set technical direction, build consensus across teams, and explain performance trade-offs to both engineers and product stakeholders. Experience working in a platform or infrastructure role where your customers are other engineering teams. Ability to work on-site at our Bellevue, WA or Menlo Park, CA offices. Preferred Qualifications Familiarity with server-side rendering, streaming SSR, or edge rendering patterns and their performance implications. Familiarity with browser engines or internals (V8, Chromium, Webkit). Contributions to web performance standards, browser APIs, or open-source performance tooling. Experience with observability platforms (Datadog, Grafana, etc) and building internal performance tooling. Background in data-intensive UIs: query editors, result grids, dashboards, notebooks, or similar products where rendering performance under large data volumes is critical. If you’re excited about building the platform and systems that power how the world’s largest companies experience Snowflake, we’d love to hear from you. 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

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. We are hiring a Intermediate Software Engineer for our Cortex AI Applications team. This team builds the AI/ML-powered user experiences that enable enterprises to converse with their structured data and extract insights in unprecedented ways — spanning the full product lifecycle from conception through deployment. In this role, you will build scalable, responsive, and intuitive user interfaces at the intersection of AI, data, and enterprise UX. AS A SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL: Contribute to the technical execution and delivery of user-facing frontend features, taking ideas from design concepts to production-ready deployments. Write clean, performant, and maintainable TypeScript/React code while adhering to engineering best practices. Actively participate in frontend architecture discussions, design reviews, and peer code reviews to ensure code quality and system scalability. Collaborate closely with product managers and UX/UI designers to convert user requirements into detailed technical tasks and robust UI components. Monitor, maintain, and optimize the frontend platform’s responsiveness, availability, and user experience. Partner with backend and cross-functional teams to integrate APIs and support backend services that power AI inference and data retrieval. Use AI coding assistants (such as Claude Code, Cursor, Codex, or similar tools) as an integral component of your day-to-day software development workflow. OUR IDEAL SOFTWARE ENGINEER WILL HAVE: 3+ years of professional experience designing and building production web applications. Actively use AI coding assistants in daily engineering workflows Strong hands-on proficiency in JavaScript/TypeScript and the modern React ecosystem. Solid understanding of core computer science fundamentals, including algorithms, data structures, UI design patterns, and state management. Proven ability to turn design mocks and product specs into production-quality code. Strong verbal and written communication skills for cross-functional collaboration across engineering, product, and design. BS/MS/PhD in Computer Science, Engineering, or a related field (or equivalent practical experience). BONUS POINTS FOR THE FOLLOWING: Experience building or shipping LLM-powered applications or conversational user interfaces. Familiarity with major cloud environments such as AWS, Azure, or GCP. Prior exposure to data analytics, BI tools, or data visualization frameworks. Basic understanding of backend services, REST/GraphQL APIs, or systems that serve AI/ML models. 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

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 redefined the data landscape over a decade ago by building the AI Data Cloud—delivering industry-leading performance and price at scale across data engineering, analytics, and AI/ML workloads. Every day, new customers begin their journey to Snowflake, but migrating existing data and applications from legacy platforms remains a complex, high-effort challenge. Customers must adapt their entire ecosystem—data, database code, ETL pipelines, and consuming applications—to fully realize Snowflake’s value. The Migrations organization serves as the catalyst for this modernization, building solutions that enable customers and partners to migrate efficiently and with less risk. Within this charter, the SnowConvert AI team delivers an AI-driven migration product that moves data-centric applications to Snowflake an order of magnitude faster than industry norms. SnowConvert goes beyond schema and SQL translation, seamlessly migrating data, code, ETL pipelines, and BI tools by combining AI-based conversion with rigorous execution-level validation, ensuring that migrated systems are not only syntactically correct, but semantically equivalent to their source and production-ready on the Snowflake AI Data Cloud RESPONSIBILITIES: The team develops fundamental code conversion techniques, robust data migration and validation pipelines, and automatic testing components. These capabilities are then leveraged by automated AI agents that process a complete application migration to Snowflake. Develop the foundations that AI agents rely on for fast, consistent code conversion This development team sits at the center of the original SnowConvert team, AI team, FDE to deliver the architecture below. Careful API design is a must for an ever-changing landscape of AI capabilities. Iterating with the FDE team enables quick feedback to prototypes, early products. OUR IDEAL SOFTWARE ENGINEER WILL HAVE: Strong software engineering experience in Python, with a focus on performance, reliability, and distributed systems. Hands-on experience building agentic AI applications, especially in domains such as computer control or code gen. Track record of contributions to open-source agentic frameworks such as LangChain, AutoGen, etc. Deep understanding of distributed systems, API design, and backend architectures. High agency—ability to take ownership, navigate ambiguity, and independently push projects forward. STRONGLY DESIRED: Experience with GoLang for high-performance backend services. Strong understanding of big data transformation, ETL, and ELT pipelines. Proficiency in Spark, Airflow, dbt, Kafka or other data engineering tools. Familiarity with streaming architectures, event-driven systems, and async processing. Experience optimizing large-scale data pipelines for performance and cost efficiency. Former founding engineers who have built and owned significant technical projects are highly valued. 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

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. Why Join Us? What We Offer We cultivate an inclusive, welcoming, and empowering environment where every intern is set up for success from day one: Dedicated Mentorship & Support: High level of access to your manager and a personal mentor who provide guidance, constructive feedback, and continuous support without micromanagement. Real Impact & Ownership: Work alongside world-class experts on meaningful, real-world projects that contribute directly to systems used by global customers. Inclusive Culture & Flexibility: Work in a vibrant team with flexible working hours, work-from-home options, casual dress code, and an inclusive, community-focused startup culture. Career Growth: Clear pathways for post-internship career opportunities, including full-time roles and additional internship options. Perks & Community: Paid full-time internship, catered lunches, team outings, happy hours, access to gaming consoles, recreational games, employee resource groups, and great swag. What You Will Learn & Gain How to build enterprise-grade, reliable, and secure cloud software and services. Hands-on experience with cutting-edge database internals, large-scale distributed systems, and cloud infrastructure (AWS, Azure, Google Cloud). Practical knowledge in compiler design, query execution, streaming pipelines, and advanced SQL features. Colleague mentorship and collaborative problem-solving experience in a modern tech stack (C++, Java). What We Are Looking For Qualifications & Skills: Education: Must be actively enrolled in an accredited college or university program during the time of the internship (from 3rd year Bachelor up to Master’s or PhD levels) in Computer Science, Computer Engineering, Physics, Math, or a related technical field. Duration: 4 month minimum, 6 months recommended, up to 12 months supported, start date flexible Target start dates: February 2027 and onward Foundational knowledge of algorithms, data structures, and operating systems. Programming experience in C++ or Java, and familiarity with systems programming concepts (e.g., multi-threading, concurrency). Ability to collaborate effectively in a team environment and solve problems creatively. Fluent written and spoken English skills. Bonus Skills (Nice to Have, Not Required): Coursework or familiarity with database systems, distributed systems, cloud computing, or compilers. Experience or interest in big data engineering, data processing, or geospatial features. Contributions to open-source projects, research experience, or publications in databases/distributed systems. 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

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's rise as a revolutionary cloud data warehouse was fueled by a key architectural tenet: separating compute from storage through a world-class metadata engine. Now, as we transition to the “Interoperable Data + AI Cloud”, metadata and open standards are the keys to unlocking the agentic enterprise at scale. AI agents cannot reason over raw data; they require deep context, strict governance, and instant interoperability. To usher in this new era, we are seeking AI-native systems thinkers to architect the foundational substrate that allows autonomous AI to query, understand, and act upon exabyte-scale datasets regardless of whether that data is stored directly within Snowflake or resides externally in a customer managed lakehouse. The Mission: Interoperability and Metadata as the Engine for AI As part of the Snowflake Interoperable Foundations organization, you will lead a 0->1 ground-up redesign of our core metadata and storage architecture. Metadata engineering and open standards (like Apache Iceberg) are the linchpins of Snowflake's future. They are what allow us to bring Snowflake's industry-leading performance and governance to data sitting anywhere in the world. Your mission is to evolve this architecture so that open, multi-format data lakes are not just searchable by humans, but inherently AI-ready by transforming interoperable metadata into the contextual engine that powers agentic innovation. Your Impact: Architecting the Data + AI Cloud 0->1 Metadata Redesign: Lead the ground-up re-architecture of our core metadata systems. You will build the highly concurrent transaction frameworks that power query, DML, and AI-driven data interactions, ensuring our metadata layer scales to support the massive contextual demands of agentic AI. Championing the Open Standard (Apache Iceberg): Drive industry-defining innovations on Apache Iceberg. You will ensure open table formats are no longer just storage abstractions, but first-class citizens that deliver native-level performance and governance for analytics, data engineering, and AI workloads without vendor lock-in. Building the Agentic Foundation: AI needs context to act safely and accurately. You will build the rich metadata structures that provide AI agents with the semantic understanding and governance required to navigate and manipulate massive global datasets. Scale & Systems Resilience: Solve non-negotiable challenges in fault tolerance, high availability, and extreme performance for a global ecosystem that treats multi-cloud resiliency as a baseline requirement. Strategic Influence: Own the end-to-end platform architecture, set and shape the future roadmap for how metadata interfaces with AI, and mentor the next generation of engineers in a low-ego, high-impact environment. What You Bring: 15+ Years Systems Experience: A proven track record of designing, building, and operating large-scale distributed systems and solving difficult multi-cloud interoperability challenges. Database Internals Builder: Deep expertise in “building” database, metadata management, query optimization, data catalog, compaction, or large-scale state management systems. 0->1 Technical Leadership: A history of implementing greenfield, cloud-scale solutions and migrating massive, high-throughput distributed systems to next-generation architectures. Core Systems Fundamentals: Strong grasp of storage performance, distributed consistency trade-offs, and algorithms. 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