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.<h2>Staff Software Engineer – File Ingestion (Customer-Facing Services)</h2><h3>Build the Future of the AI Data Cloud</h3>Snowflake’s File Ingestion team owns the core engines behind COPY INTO and Snowpipe — the primary arteries landing customer data into the AI Data Cloud at hundreds of petabytes per quarter.We are expanding our core mission to build next-generation, external-facing ingestion services that directly expose file-ingest capabilities to external platforms, partner ecosystems, and customer applications. As a Staff Software Engineer, you will lead the architectural vision and execution for these mission-critical, customer-facing services. You will operate at the intersection of high-throughput distributed systems, API platform design, and direct customer feature delivery, defining how enterprise data seamlessly flows into Snowflake at global scale.<h3>What You’ll Do</h3><ul><li>Drive Technical Vision &amp; Architecture: Define the multi-year architecture and technical strategy for high-throughput, external-facing ingestion services and APIs across multi-cloud environments (AWS, Azure, GCP).</li><li>Deliver Customer-Facing Innovations: Lead the end-to-end execution of enterprise-grade external features, ensuring low-latency data landing, high availability, and seamless ecosystem integration (e.g., Snowpark Connect, partner connectors).</li><li>Set Technical Direction: Author foundational design documents, establish technical standards for reliability, security, and scalability, and lead high-stakes architectural reviews across engineering orgs.</li><li>Lead Cross-Functional Alignment: Partner closely with Principal Architects, Product Management, Security, and external developer platforms to translate customer requirements into resilient system architecture.</li><li>Elevate Engineering Excellence: Mentor and sponsor Senior, Mid-level, and Junior engineers; raise the bar for system design, code quality, testing methodologies, and operational maturity.</li><li>Direct Customer &amp; Strategic Impact: Engage with enterprise customer engineering teams to solve complex integration challenges, debug production edge cases at scale, and turn direct customer feedback into core platform capabilities.</li></ul><h3>What We’re Looking For</h3><ul><li>10+ years of experience designing, building, and operating large-scale distributed systems or cloud-native infrastructure in production.</li><li>Proven track record of architectural leadership, having successfully taken complex, customer-facing services or external APIs from initial concept to General Availability (GA) and global scale.</li><li>Expert proficiency in Java or C++ (strong preference for engineers comfortable working across both systems-level C++ and managed service Java frameworks).</li><li>Deep expertise in external API design, cloud service orchestration, and building resilient, multi-tenant customer-facing endpoints.</li><li>Deep domain knowledge in at least one of the following: high-throughput ingestion pipelines, distributed query execution engines, messaging/streaming systems (e.g., Kafka, Pulsar), or database internals.</li><li>Exceptional written and verbal communication skills with a demonstrated ability to drive technical consensus across cross-functional leadership, product partners, and external technical stakeholders.</li><li>BS, MS, or PhD in Computer Science, Computer Engineering, or equivalent practical experience.</li></ul><h3>Bonus Points</h3><ul><li>Experience building and scaling external developer platforms, SDKs, or public SaaS APIs serving external consumers.</li><li>Deep expertise with open table formats (Apache Iceberg, Delta Lake) and integration with ecosystems like Apache Spark or Ray.</li><li>Advanced performance engineering expertise: memory management, SIMD, vectorization, lock-free data structures, or I/O optimization at PB-scale.</li><li>Strong background in metadata management, transactional state machines, or consensus protocols (e.g., Raft, Paxos).</li><li>Active contributor to open-source data infrastructure, cloud-native compute systems, or query engines.</li></ul><h3>Why This Team</h3><ul><li>Massive Strategic Impact: You will lead the expansion of Snowflake's most critical data-path surface into direct, customer-facing integrations that unlock new platform ecosystems and drive platform volume.</li><li>Broad Architectural Scope: Your work will bridge edge API layers, control-plane orchestrators, file scanners/parsers, query planners, and underlying storage engines.</li><li>High Customer Visibility: Work directly on features that power the external integrations for Fortune 500 enterprises, seeing the immediate revenue and performance impact of your architecture.</li><li>Culture of Technical Leadership: Partner directly with Snowflake’s top architects and leads in an environment that values deep technical autonomy, rigorous engineering, and long-term architectural stewardship.</li></ul>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: <a target="_blank" rel="noopener noreferrer ugc" href="http://careers.snowflake.com">careers.snowflake.com</a>

Staff Software Engineer - Ingestion

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 the most powerful AI Data Cloud in the world — and Canada is a critical part of that mission. Our AI/ML engineering teams are delivering the intelligence layer that powers Cortex AI, large language model inference, AI functions, intelligent search, and the next generation of AI-powered experiences on the Snowflake platform.We're looking for a Software Engineer — AI to join our growing Toronto engineering team. You'll design, build, and ship AI-powered systems and services that are used by thousands of organizations worldwide. If you're passionate about building production AI infrastructure at scale and want to work alongside world-class engineers on problems that matter, this is the role.<h2>AS A SOFTWARE ENGINEER — AI, YOU WILL:</h2><ul><li>Design, develop, and ship AI-powered features and services — working across model inference, AI functions, retrieval systems, and intelligent application experiences on the Snowflake platform</li><li>Build production-quality infrastructure for AI workloads — including model serving, embedding pipelines, retrieval-augmented generation (RAG), and AI-driven automation</li><li>Write clean, performant, and well-tested code in languages like Python, Java, C++, or Go — contributing to systems that operate at enterprise scale across Snowflake's multi-cloud infrastructure</li><li>Collaborate with ML researchers, senior engineers, and product managers to translate AI research and product requirements into robust, scalable engineering solutions</li><li>Contribute to system design — participate in design reviews, propose architectural improvements, and help shape the technical direction of AI services</li><li>Own your work end-to-end — from design and implementation through testing, deployment, monitoring, and operational health</li><li>Stay current on AI/ML advancements — evaluate new techniques, models, and tools and assess their applicability to Snowflake's platform and customer needs</li><li>Contribute to a strong engineering culture — through code reviews, documentation, knowledge sharing, and continuous improvement of team practices</li></ul><h2>OUR IDEAL SOFTWARE ENGINEER — AI WILL HAVE:</h2>Required:<ul><li>3+ years of software engineering experience building production systems, with a strong foundation in computer science fundamentals (data structures, algorithms, distributed systems)</li><li>Experience with AI/ML systems — you've worked on model serving, inference pipelines, LLM integration, embedding systems, or AI-powered application features in a production environment</li><li>Proficiency in one or more of: Python, Java, C++, or Go</li><li>Experience building distributed systems or cloud-native services — you understand the challenges of scale, reliability, and performance in a multi-cloud environment</li><li>Strong problem-solving skills and the ability to break down ambiguous problems into clear engineering tasks</li><li>Collaborative mindset — you work effectively with engineers, researchers, and product managers and communicate your ideas clearly</li><li>Ownership mentality — you take responsibility for your work from design through production and care about quality, reliability, and operational excellence</li></ul>Preferred:<ul><li>Experience with LLM inference, fine-tuning, RAG architectures, or vector search at production scale</li><li>Familiarity with ML frameworks such as PyTorch, TensorFlow, or similar</li><li>Experience with cloud infrastructure (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)</li><li>Background in data platforms, data warehousing, or SQL-based systems</li><li>Experience with CI/CD pipelines, automated testing, and production monitoring/observability</li><li>Contributions to open-source AI/ML projects or published research in AI/ML</li></ul><h2>SNOWFLAKE VALUES WE'RE LOOKING FOR:</h2><ul><li>Get It Done — You ship working software. You move fast, iterate, and deliver results — not just prototypes.</li><li>Own It — You take end-to-end responsibility for your code, your systems, and your outcomes. If something breaks, you fix it.</li><li>Make Each Other the Best — You contribute to a culture of learning through thoughtful code reviews, knowledge sharing, and helping teammates grow.</li><li>Think Big — You don't just solve today's problem. You think about how AI at Snowflake should work at 10x scale and build with that future in mind.</li></ul><h2>COMPENSATION</h2>Snowflake is committed to pay equity and transparency. The compensation ranges below are for the Canada market. Actual compensation will be determined based on factors including relevant experience, skills, and internal equity.ComponentRangeBase Salary$146,000 – $219,000 CADAnnual Bonus Target10% of base salaryTotal Target Compensation$160,600 – $240,900 CADEquity (RSUs)$170,000 – $500,000 USDIn addition, this role is eligible for a comprehensive benefits package including extended health, dental, vision, RRSP, ESPP, generous paid time off, parental leave, and more.<h2>WHY SNOWFLAKE TORONTO?</h2><ul><li>AI at enterprise scale — Cortex AI powers intelligent features for thousands of organizations; your code ships to production and impacts real customers</li><li>Work at the frontier — LLM inference, AI functions, intelligent search, agentic workflows — this team is building the AI platform layer of the data cloud</li><li>Toronto's growing engineering hub — join a rapidly expanding office with strong local engineering leadership and team culture</li><li>Unmatched data advantage — Snowflake sits on one of the largest concentrations of enterprise data in the world, giving AI products a unique moat</li><li>World-class colleagues — work alongside engineers from Google, Meta, Amazon, Microsoft, and leading AI research labs</li><li>Competitive compensation and meaningful equity — including RSUs that give you real ownership in Snowflake's growth</li></ul>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: <a target="_blank" rel="noopener noreferrer ugc" href="http://careers.snowflake.com">careers.snowflake.com</a>

AI Software Engineer

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.Job Location: 135 Constitution Drive, Menlo Park, CA 94025.ELT: Data Analytics and AIREQ ID: ASHREQ-8304Joining this team means architecting the performance, scalability, and service infrastructure that will empower the world's largest enterprises to seamlessly govern their transactional and analytical data in one place. If you are passionate about building industry-leading technologies that solve real-world scale and performance problems, this is the place to be. In this role, you will be a key contributor to the evolution of our core product: an elastic, large-scale, high-performance data processing system. We are looking for smart, enthusiastic engineers who can quickly master complex technical areas and are passionate about building new, industry-leading technologies.AS A BUSINESS INTELLIGENCE ANALYST, PRODUCT FINANCE (MULTIPLE POSITIONS AVAILABLE) AT SNOWFLAKE, YOU WILL:Serve on the Finance BI team and partner with Product Finance to deliver business intelligence reporting that supports Engineering and Finance teams. Product Finance analyzes costs associated with the development of Snowflake’s product, in particular, cloud spend. Develop applications and manage data pipelines that power financial reporting, streamline QBR workflows, and surface actionable insights that will optimize spending at Snowflake. Collaborate with analysts across Finance on quarterly ad-hoc analyses utilizing SQL, Python, and BI tools, as well as data best practices and stakeholder engagement. Design and develop AI-driven solutions to automate financial workflows, analyses, and insight generation. Responsible for building machine learning and generative AI models to identify cost anomalies, forecast cloud spend, and recommend optimization strategies. Develop scalable data models and agentic automation frameworks that autonomously gather data, execute multi-step analyses, and generate executive-ready insights, while integrating Python-based analytical and ML workflows into production BI environments. Collaborate cross-functionally with Finance, Engineering, and Data teams to deploy AI-enabled applications that improve operational efficiency, reduce manual analysis, and enhance strategic planning. Telecommuting permitted.Minimum Requirements for Position:<ul><li>Master’s degree or foreign equivalent in Business Analytics, Business Intelligence or related field, and 1 year of experience in the job offered or related occupation.</li></ul>Education or experience must include:<ul><li>Utilizing SQL, including analyzing data, standardizing queries, and building large-scale relational datasets.</li><li>Utilizing Python and application development, with an emphasis on scalability and user experience.</li><li>Developing and deploying enterprise-grade Business Intelligence (BI) tools, such as Streamlit, Tableau or Looker</li><li>Utilizing AI and AI prompt development</li></ul>The base salary range for this role is $142,438 - $150,150Snowflake 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: <a target="_blank" rel="noopener noreferrer ugc" href="http://careers.snowflake.com">careers.snowflake.com</a>

Business Intelligence Analyst

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’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.We're looking for a talented and motivated Software Engineer to join the <a target="_blank" rel="noopener noreferrer ugc" href="https://docs.snowflake.com/en/user-guide/snowflake-cortex/aisql">Cortex AI Functions</a> Platform team. AI functions are how Snowflake customers call AI directly from SQL, running models over their own tables without moving data out of the platform. Our team builds the platform that makes this work at data warehouse scale, where a single statement can expand into a large volume of inference requests that must complete predictably, within expected cost, and without compromising the query when a dependency degrades or fails.Current projects include a new architecture for multi-modal inference, quality gates that let us ship new functions and models with confidence at batch scale, and support for input data beyond plain text. Alongside these, we work continuously on throughput, cost and reliability as customer usage grows, and on making failures in the inference path easier to detect, diagnose and recover from.For this role, you don’t need to have a research background, including pre-training or fine-tuning models.<div> </div><h2>Your journey as a Software Engineer</h2>Working in our team you will:<ul><li>Think creatively to find optimal solutions to our complex, often ambiguous problems</li><li>Participate in all stages of building and running the platform behind Snowflake’s AI functions, from design and implementation through rollout and production support</li><li>Work closely with research teams, as well as product and engineering partners, to understand and shape the short and long-term product development strategy</li><li>Serve as a mentor to less experienced engineers</li></ul><h2>Ideal candidate</h2><ul><li>4+ years of experience building production backend or distributed systems in C++, Java, Go, Python, or a comparable language</li><li>BSc in a technical field (CS, EE, Physics, Math, etc), MSc/PhD is a plus</li><li>Experience designing and operating high-throughput services, including handling concurrency, backpressure, partial failures, and observability</li><li>Experience designing service or RPC APIs, such as REST or gRPC</li><li>Experience with software engineering best practices (programming, testing, version control, CI/CD, containers, agile development, etc)</li><li>Experience with building distributed systems that guarantee high throughput without compromising on reliability</li><li>High levels of curiosity and eager enthusiasm for open-ended problems, and the ability to turn a loosely defined problem into a scoped, testable design</li><li>Ability to articulate results and complex concepts to leadership</li><li>Must be able to produce solutions independently in an organized manner, as well as work in a team</li><li>Experience with SQL engines, query execution, or other large-scale data systems is a strong asset</li><li>Hands-on experience in the MLOps field (e.g., deploying ML models) is a plus</li></ul>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: <a target="_blank" rel="noopener noreferrer ugc" href="http://careers.snowflake.com">careers.snowflake.com</a>

Software Engineer AI Team

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 Staff Software Engineer for our Frontier Security AI team. Snowflake's Frontier Security AI teams develop production-grade LLM applications, intelligent agents, AI infrastructure, and evaluation systems for enterprise customers — products that must meet a high bar for quality, security, reliability, and efficiency while operating over sensitive data at large scale. In this role, you will lead the design and development of our Agentic Harness and agent evaluation platform, working across product, infrastructure, applied AI, security, and modeling teams to take new capabilities from prototype to dependable customer value.<div> </div><h2>AS A STAFF SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL:</h2><ul><li>Architect and build the Agentic Harness that executes complex, multi-step AI workflows across models, tools, data, and services.</li><li>Design stable interfaces for tool execution, context construction, state management, memory, permissions, retries, fallbacks, and human review.</li><li>Own agent quality end to end by building evaluation harnesses, representative datasets, automated graders, experiment pipelines, and release gates.</li><li>Convert ambiguous reports such as "the agent feels worse" into measurable failure modes, reproducible tests, and durable fixes.</li><li>Analyze production agent trajectories to identify failures in reasoning, retrieval, tool use, context, orchestration, and application code.</li><li>Close the loop between production incidents, root-cause analysis, evaluation coverage, and regression prevention.</li><li>Develop offline and online measurements for task completion, correctness, groundedness, safety, latency, reliability, and cost.</li><li>Build simulation and replay infrastructure for golden-set tests, adversarial scenarios, model comparisons, and large-scale experiments.</li><li>Improve agent efficiency through model routing, prompt and semantic caching, context compaction, tool-result management, and token optimization.</li><li>Productionize new model capabilities as secure, observable, multi-tenant services with clear operational controls.</li><li>Establish standards for evaluation design, including sampling, ground-truth quality, grader calibration, leakage prevention, and statistical significance.</li><li>Define technical direction across multiple teams and lead projects whose scope extends beyond a single service.</li><li>Mentor engineers, raise the quality of architecture reviews, and remain directly involved in implementation and debugging.</li></ul><div> </div><h2>OUR IDEAL STAFF SOFTWARE ENGINEER WILL HAVE:</h2><ul><li>9+ years of software engineering experience, including technical leadership of complex production systems.</li><li>Direct experience shipping and operating LLM applications, AI agents, or model-backed workflows in production.</li><li>Strong background in distributed systems, service architecture, high-throughput APIs, concurrency, and failure handling.</li><li>Experience building an agent runtime, workflow engine, developer platform, evaluation system, or similar infrastructure.</li><li>Demonstrated ability to evaluate nondeterministic systems without relying on a single aggregate score.</li><li>Fluency in Python and strong proficiency in at least one systems or application language such as Java, Go, Rust, or TypeScript.</li><li>Hands-on knowledge of tool calling, structured generation, retrieval, context engineering, prompt management, and model APIs.</li><li>Experience with production observability, including structured traces, replay, metrics, logs, and incident diagnosis.</li><li>Ability to balance agent quality with latency, reliability, security, and inference cost.</li><li>Track record of setting technical direction and delivering results across organizational boundaries.</li><li>Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</li><li>Clear written and verbal communication with engineering, product, and leadership audiences.</li></ul><div> </div><h2>BONUS POINTS FOR THE FOLLOWING:</h2><ul><li>Building evaluation or observability infrastructure for agentic coding, data engineering, or analytics systems.</li><li>Designing human-evaluation programs, scoring rubrics, annotation workflows, or grader-calibration methods.</li><li>Working with multi-agent orchestration, long-running agents, asynchronous workflows, or durable execution.</li><li>Developing synthetic tasks, simulations, adversarial tests, red-team exercises, or safety guardrails.</li><li>Building retrieval systems that use vector search, hybrid search, semantic indexing, ranking, or caching.</li><li>Operating multi-tenant systems that process sensitive enterprise data.</li><li>Working with model training, fine-tuning, reinforcement learning, or feedback-driven optimization.</li><li>Evaluating and onboarding frontier models based on measured product outcomes.</li><li>Experience with databases, SQL engines, data platforms, Kubernetes, or cloud-native infrastructure.</li></ul><div> </div><h2>YOU MAY BE A PARTICULARLY GOOD FIT IF YOU:</h2><ul><li>Treat evaluation as part of product engineering rather than a final validation step.</li><li>Can move between agent behavior, distributed infrastructure, data analysis, and production debugging.</li><li>Question metrics that do not reconcile and design tests that can expose misleading results.</li><li>Take ownership from early architecture through deployment, operations, and measurable customer outcomes.</li><li>Prefer evidence from representative tasks and production behavior over isolated benchmark results.</li><li>Work effectively in fast-moving environments where requirements develop through experimentation.</li></ul>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: <a target="_blank" rel="noopener noreferrer ugc" href="http://careers.snowflake.com">careers.snowflake.com</a>

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Staff Software Engineer - Ingestion

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