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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

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

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 now building a world class OLTP service on Postgres. We’re hiring Senior Postgres Engineers to help build the new Snowflake Postgres service. This is an exciting opportunity to help build a large scale, multi-cloud Postgres offering with access to an existing customer base. AS A SENIOR POSTGRES ENGINEER YOU WILL: Develop orchestration layer/ control-plane of large scale databases Work with AWS, Azure, and GCP APIs Build High Availability and Disaster Recovery solutions Tune Postgres to operate at scale for some of the largest datasets in the world Secure and ensure customer data is protected Work alongside some of the brightest minds in the industry and help redefine the space by inventing at various layers of the software stack — from broad distributed systems to low-level optimizations that fundamentally change the performance characteristics of the system to cater to our customer needs. OUR IDEAL SENIOR POSTGRES ENGINEER WILL HAVE: 7+ years industry experience designing, building and developing large scale systems in production Experience building and maintaining distributed, highly available, fault tolerant services Excellent understanding of low level operating systems concepts including multi-threading, memory management, networking, storage, performance, and scale Extremely strong fundamental computer science skills Experience with Java, Python/Ruby & Go Experience running & maintaining large Postgres servers Familiarity with cloud networking (VPCs, PrivateLink, Peering, etc) Experience working with remote, geographically distributed teams Excellent verbal and written communication skills THE FOLLOWING ARE CONSIDERED A PLUS: Bachelors, Masters, or PhD in Computer Science Deep, expert knowledge of Postgres (WAL, extensions, configuration, replication, etc) Experience designing and implementing large systems for public or private clouds FedRAMP and DoD deployment 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. Snowflake is now building a world class OLTP service on Postgres. We’re hiring Senior Postgres Engineers to help build the new Snowflake Postgres service. This is an exciting opportunity to help build a large scale, multi-cloud Postgres offering with access to an existing customer base. AS A SENIOR POSTGRES ENGINEER YOU WILL: Develop orchestration layer/ control-plane of large scale databases Work with AWS, Azure, and GCP APIs Build High Availability and Disaster Recovery solutions Tune Postgres to operate at scale for some of the largest datasets in the world Secure and ensure customer data is protected Work alongside some of the brightest minds in the industry and help redefine the space by inventing at various layers of the software stack — from broad distributed systems to low-level optimizations that fundamentally change the performance characteristics of the system to cater to our customer needs. OUR IDEAL SENIOR POSTGRES ENGINEER WILL HAVE: 7+ years industry experience designing, building and developing large scale systems in production Experience building and maintaining distributed, highly available, fault tolerant services Excellent understanding of low level operating systems concepts including multi-threading, memory management, networking, storage, performance, and scale Extremely strong fundamental computer science skills Experience with Java, Python/Ruby & Go Experience running & maintaining large Postgres servers Familiarity with cloud networking (VPCs, PrivateLink, Peering, etc) Experience working with remote, geographically distributed teams Excellent verbal and written communication skills THE FOLLOWING ARE CONSIDERED A PLUS: Bachelors, Masters, or PhD in Computer Science Deep, expert knowledge of Postgres (WAL, extensions, configuration, replication, etc) Experience designing and implementing large systems for public or private clouds FedRAMP and DoD deployment 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. The Snowflake Postgres team is building a managed Postgres experience inside Snowflake. This role is focused on the control plane, where you have the opportunity to work on both on distributed systems at scale and also to work on research grade optimizations at various layers of the software stack including but not limited to provisioning, managing, securing, and operating Postgres in Snowflake . You will work on core backend systems that sit at the intersection of distributed systems, database infrastructure, security, and operational excellence. In this role, you will: Design and build backend services that power provisioning, lifecycle management, and configuration of Snowflake Postgres instances. Develop features in the access and user model, including authorization, secure administration flows, and customer-facing management capabilities. Improve the reliability, observability, and operability of asynchronous workflows and background systems that keep the service healthy. Partner with product, security, and adjacent engineering teams to deliver simple customer experiences on top of complex infrastructure. Investigate production issues, participate in on-call, and drive fixes that improve resilience and reduce operational burden. Contribute to technical design, code review, and mentoring while helping raise the engineering bar across the team. Our ideal candidate will have: 2+ years of experience building production software in backend, infrastructure, or distributed systems environments. Strong programming skills in one or more of Java, Go, C++, or Python. Strong computer science fundamentals, including concurrency, networking, APIs, and data structures. Experience designing and operating reliable services in production, including debugging, monitoring, and incident response. Experience working across technical boundaries with product, security, and other engineering teams. BS/MS in Computer Science, Engineering, or a related field, or equivalent practical experience. Nice to have: Experience with PostgreSQL, database internals, or managed database platforms. Experience with identity, authorization, RBAC, or other security-sensitive systems. Experience with cloud infrastructure on AWS, Azure, or GCP. Experience with workflow orchestration, control plane systems, or highly asynchronous service architectures. Why join this team? Work on a strategic product area that expands Snowflake into transactional and operational database workloads Build systems that directly shape how customers create, manage, and secure Postgres inside Snowflake Tackle a mix of product engineering, infrastructure, reliability, and security problems. Join a collaborative team with meaningful ownership, strong technical challenges, and room to grow 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