Staff Fullstack Engineer

Staff Software Engineer - Applied Performance Group

Snowflake

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 Applied Performance Group (APG) Engineering team provides a highly strategic function at Snowflake, with direct impact to our product direction, as well as to our bottom line. APG engineers are a key bridge between Engineering and our Sales organization, support organization, and other engineering organizations at Snowflake. They are called on to help with our most challenging customer performance issues, and help deliver some of our biggest deals. In addition, APG plays a strategic role in competitive benchmarking, defining and/or utilizing industry benchmarks to compare Snowflake performance against our competitors. APG Engineers are at the cutting edge of innovation at Snowflake, pioneering Snowflake deployments with the newest technology and working with Engineering and Product Management to continuously improve the product and ensure we continue building the best Cloud Data Platform in the industry. A successful Applied Performance Engineer will have a broad range of skills and experience ranging from strong SQL skills, data warehousing, data architecture, data engineering, transaction processing, security, performance analysis, analytics, etc. He/she will have the insight to make the connection between a customer’s specific business problems and Snowflake’s solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build and execute proof-of-concepts and benchmarks, but also to provide consultative assistance in areas of product direction. The person we’re looking for shares our passion about reinventing the data platform and thrives in the dynamic environment. That means having the flexibility and willingness to jump in and get done what needs to be done to make Snowflake and our customers successful. It means keeping up to date on the ever-evolving technologies for data and analytics in order to be an authoritative resource for both Snowflake and customers. And it means working collaboratively with a broad range of people both inside and outside the company. RESPONSIBILITIES: * Be an expert on the topics of Snowflake architecture, query processing, workload profiling, data engineering, and Snowflake tools * Be an expert in competitor solutions/products for analytics and data engineering * Define, automate, execute, and publish competitive benchmarks * Partner closely with other engineering teams to deliver both results and guidance on performance gaps, challenges, advantages, and disadvantages * Collaborate with Product Management and Engineering to continuously improve Snowflake’s products and eco-system roadmaps. OUR IDEAL APPLIED PERFORMANCE ENGINEER WILL HAVE: * Minimum 5 years of experience in technical role delivering Database, Data Warehouse, or Data Engineering implementations and/or benchmark initiatives * Experience and ability to work directly with other engineering teams, product managers, and various levels of management * Strong communication skills, able to effectively communicate ideas and technical concepts to both technical and executive audiences * Broad understanding of cloud platforms and solutions, including experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, OpenStack) * Proven track record of experience with Snowflake competitors * Deep understanding of complete data engineering and analytics stack and workflow, from data ingestion and load to transformation to data platform design to BI and analytics tools * Deep technical expertise in databases, data warehouses, data processing, and applications * Coding/programming experience in process automation * Strong SQL performance analysis experience, Python and/or Java expertise, and the ability to use tools to identify and articulate performance issues STRONGLY DESIRED: * Extensive knowledge of and experience with large-scale databases and distributed data processing technology (e.g. Databricks, Spark, Netezza, Oracle, Teradata, Greenplum, Google BigQuery, Amazon Redshift, Microsoft Synapse, Postgres, Apache Spark, Ray, Dask, Apache Kafka, Apache Flink, etc.) * Software development experience with C/C++, Java, Scala, Spark * Scripting experience with Python, Ruby, Perl, Bash * Knowledge of and experience with AI and Machine Learning technologies either in use (eg. using a coding assistant), or in development (eg. using technologies like PyTorch for training and inference). * University degree in computer science, engineering, mathematics or related fields, or equivalent experience. 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

Staff Software Engineer - AI Products

Snowflake

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 AI PRODUCTS TEAM The AI Products team is part of the broader Marketplace & Collaboration organization and is focused on bringing AI products on top of Snowflake’s data and application platform to help customers discover, share, monetize, and act on data assets & applications more easily. This team is building the connective tissue of the agentic enterprise: the infrastructure and product surfaces that allow Snowflake customers to seamlessly share datasets, semantic views, and applications, and make them discoverable and executable through Cortex Code, CoWork, and other agentic harnesses. Our strategy is centered on evolving Snowflake Marketplace for the AI era, including packaging data and intelligence into ready-to-use agentic experiences, and enabling governed access patterns that let AI systems safely operate on enterprise data and applications. AS A STAFF SOFTWARE ENGINEER ON AI PRODUCTS, YOU WILL * Lead the design and delivery of large, complex initiatives spanning multiple teams, turning ambiguous product and platform opportunities into durable technical solutions. * Shape the architecture for how datasets, applications, semantic assets, and agentic capabilities are shared, discovered, governed, and invoked across Snowflake surfaces and third-party agentic environments. * Define and evolve the APIs, metadata models, runtime discovery systems, and sharing protocols that make enterprise assets usable by AI agents and developer workflows. * Partner closely with product managers, designers, and platform teams to deliver high-impact customer experiences that raise the bar for AI-native collaboration on Snowflake. * Act as a technical owner for critical product areas with a strong focus on service health, quality, customer impact, reliability, and long-term maintainability. * Identify systemic issues affecting customer experience or engineering velocity and drive cross-team solutions that endure beyond a single launch or component. * Use sound engineering judgment to make trade-offs across product value, technical complexity, scalability, and strategic importance, with an eye toward Snowflake’s broader company goals. * Mentor other engineers, raise the quality bar in code and design reviews, and help develop technical expertise across the team. * Contribute hands-on across the stack as needed, from backend systems and APIs to user-facing product experiences, in service of shipping meaningful customer value. OUR IDEAL STAFF SOFTWARE ENGINEER WILL HAVE * 9+ years of professional software engineering experience, including ownership of large-scale production systems. * A track record of leading large projects or very complex cross-team efforts from problem definition through architecture, execution, and rollout. * Deep expertise in at least one core area such as distributed systems, data/application sharing, or AI-powered product surfaces, along with the ability to contribute outside their primary domain when the problem demands it. * Strong backend engineering skills in one or more of Java, Go, Python, or similar languages, plus enough product or frontend fluency to help shape end-to-end user experiences. * Experience designing APIs, service architectures, and platform abstractions that scale reliably and are easy for other teams to build on. * Demonstrated ability to work effectively in ambiguity, use data and analysis to drive decisions, and build alignment across engineering and cross-functional stakeholders. * Strong product and customer instincts, including the ability to anticipate future needs and translate them into technical plans. * Excellent written and verbal communication skills, including experience authoring technical roadmaps, design docs and driving technical discussions across teams. * BS/MS in Computer Science or a related field, or equivalent practical experience. BONUS POINTS FOR * Experience with agentic workflows, MCP servers, LLM integrations, semantic search, or AI-assisted product experiences. * Familiarity with marketplace, data-sharing, application platform, or ecosystem-style products. * Experience building governance, metadata, discovery, or catalog systems for enterprise platforms. WHY JOIN THIS TEAM This is a chance to shape how Snowflake customers expose data and applications to AI systems in a secure, governed, and highly usable way. The work sits at the intersection of platform engineering, product innovation, and AI transformation, and it directly influences how the Data Cloud evolves for the next generation of customers and builders. 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

Staff Software Engineer, Cortex AI Infrastructure

Snowflake

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 Cortex Apps team is building the future of AI for enterprise data. This role focuses on the backend infrastructure that powers our flagship products like Snowflake Intelligence, Cortex Agents and Search making agentic AI fast, reliable, scalable and secure at the enterprise level. You won’t just be using AI tools; you will be building the high-performance systems that orchestrate them. You’ll own and influence the architecture for agent execution environments, high-throughput context retrieval, or the ecosystem that allows our customers to iterate and launch agents in production. WHAT YOU WILL DO IN THIS ROLE: * Architect Agentic Runtimes: Build and scale the orchestration engines that execute complex agentic workflows, ensuring low-latency tool execution and robust state management. * Scale Context Engineering Infra: Design high-performance systems for RAG (Retrieval-Augmented Generation), including vector database integration, scalable and efficient search indexing, query processing, and result ranking, semantic caching, and automated metadata extraction. * Build the "Evals Engine": Develop the automated infrastructure required to run massive-scale golden set simulations, error analysis pipelines, and "hillclimbing" experiments. * Productionize AI Workflows: Collaborate with the modeling team to take raw LLM capabilities and turn them into hardened, multi-tenant microservices with strict guardrails and observability. * Optimize Performance & Cost: Direct the infra strategy for model routing, prompt caching, and token optimization to ensure Snowflake’s AI features are the most efficient in the industry. REQUIREMENTS: * Education: Bachelor’s degree in Computer Science or a related technical field. * Experience: 5+ years of experience building distributed systems, high-throughput APIs, or backend infrastructure for AI/ML products. * Technical Stack: Deep proficiency in Go or Java (for systems) and Python (for AI orchestration). * Systems Thinking: Strong understanding of database internals, distributed state management, and cloud-native architecture (Kubernetes, FoundationDB, etc.). * Domain Expertise: Familiarity with the "plumbing" of AI: vector indices, agent platforms, and building scalable data pipelines. (BONUS) EXPERIENCE WITH: * Query optimization and SQL engine internals. * Designing multi-tenant systems that handle sensitive enterprise data at scale. * Developing search infrastructure for large-scale applications. * Direct experience with any of the subsystems outlined above. 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