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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. Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Snowflake is reimagining what a modern Postgres experience can be. The Snowflake Postgres team is building a fully managed, cloud-native Postgres service that delivers the reliability, performance, and scale developers expect that is paired with a data experience that seamlessly ties into Snowflake. As an Engineer Manager, you'll help define the architecture, push the boundaries of Postgres in the cloud, and shape one of Snowflake's most strategic new products AS AN ENGINEERING MANAGER AT SNOWFLAKE YOU WILL: Provide strong technical leadership across both the Postgres dataplane and the orchestration/control plane required to deliver a managed service (HA, upgrades, backups, scaling, automation, and operational safety). Break problems down and build consensus across multiple parties to reach solutions that are scalable, tractable, and timely. Function as both a problem solver and a problem finder by building the roadmap while delivering it. Leverage your experience to balance long-term thinking with more immediate business needs. Understand trade-offs between consistency, performance, scaling limits, 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 durability, availability, performance, and security. Solve real business needs at large scale by applying your software engineering and analytical problem solving skills. OUR IDEAL ENGINEERING MANAGER WILL HAVE: 10+ years of experience building and operating large-scale systems (distributed systems, databases, or cloud services). 3+ years of experience building, managing, and leading high-performing engineering teams (and experience leading managers is a strong plus). Strong track record of delivering large-scale, resilient systems and services in production. Significant experience in cloud environments (AWS, Azure, and/or GCP) and building services with high availability and operational rigor. Strong communication and collaboration skills, with the ability to drive cross-functional alignment and influence across org boundaries. Strong hands-on technical ability; comfortable navigating complex codebases and diving deep into system design and implementation. BS/MS in Computer Science or related majors, or equivalent experience. Postgres depth: experience with Postgres as an end user, operator, or administrator; strong understanding of database fundamentals and tradeoffs (consistency, performance, scaling limits, cost). OR Love of Postgres. You have worked with Postgres as an end user or administrator. You have a solid understanding of database fundamentals. WHY JOIN THE ENGINEERING TEAM AT SNOWFLAKE? Build an industry-leading Cloud Data and AI 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. 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. 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 the Snowflake Semantic Views team. We build the semantic layer at the core of the Snowflake platform — the system that lets customers define logical data models (tables, dimensions, metrics, and the relationships between them) once, and then query them consistently across BI tools, SQL, and AI agents. Semantic Views turn raw physical schemas into governed, reusable business definitions, so that "revenue," "active customer," or "gross margin" mean the same thing no matter who or what is asking. We own the semantic model itself, compiler elements and query rewriter that expand semantic queries into optimized SQL over petabyte-scale data, and the surfaces that expose this layer to Cortex Analyst and the broader agent ecosystem. Our work sits at the intersection of query language, metadata, and AI-driven analytics, and it is foundational to how Snowflake customers get trustworthy answers from their data. As a Principal Software Engineer at Snowflake you will: Solve real business needs at large scale by applying your software engineering and analytical problem-solving skills. Design, develop, and support the semantic modeling layer that translates semantic queries into correct, high-performance SQL. Create architecture and design, influence the semantic layer roadmap, and take ownership over new capabilities spanning metrics, dimensions, relationships, and governance. Ensure semantic queries produce correct results while meeting the performance and scale demands of interactive analytics over petabyte-scale data. Partner with the Cortex and AI teams to make the semantic layer the reliable grounding source for natural-language and agent-driven analytics. Understand the trade-offs between expressiveness, correctness, performance, and cost, and build solutions that hold up as usage grows. Mentor and grow engineers, and raise the technical bar across the team. Ensure operational readiness of the features we ship and meet our commitments to customers on correctness, availability, and performance. Our ideal Principal Software Engineer will have: 15+ years of industry experience designing, building, and supporting large-scale data or systems software. Strong computer science fundamentals including data structures, algorithms, and complexity analysis. Deep experience with at least one of: query compilation and optimization, database or query engine internals, semantic/metrics layers, or BI and analytics infrastructure. A strong grasp of SQL semantics and relational modeling, and an appreciation for why correctness of results is non-negotiable. Fluency in Java or another similar object-oriented language is preferred. A track record of identifying and implementing creative solutions to complex, ambiguous problems. Ability to work effectively across engineering teams in multiple locations. BS in Computer Science; Masters or PhD preferred. Why join the engineering team at Snowflake? Build an industry-leading Cloud Data and AI Platform. Work on one of the most strategically important layers for both traditional BI and the emerging world of AI agents that query enterprise data. Solve challenging technical problems in query compilation, semantics, performance at scale, and correctness. Work closely with our customers and partners, understand their use cases and needs, and think strategically about the right problem to solve at the right time. 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. 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. Senior Solution Engineering Manager - UKI Global Accounts Our organization is seeking a Senior Solution Engineering Manager to lead a highly skilled and diverse team of Global Account Sales Engineers within the UKI Global Accounts function. This is a multi-vertical position spanning Financial Services, Telecommunications, and Healthcare & Life Sciences. While this is a front-line leadership role, the strategic importance of the businesses supported means the position will report directly to [reporting line]. The role extends beyond tactical account support to help shape the go-to-market and technical strategy for the entire UKI Global Accounts organization — building a foundation that will define our major account motion for years to come. You will serve as an executive peer to customer leadership, drive operational excellence across enterprise pursuits, and direct specialized technical resources across organizational boundaries. In this role, you will: Build and coach your team on team operations, account strategy, performance management, and career development — instilling a disciplined operating rhythm anchored in MEDDPICC methodology to ensure deal qualification, pipeline governance, and repeatable execution. Orchestrate specialized technical talent — including domain experts, solution architects, and post-sales teams — to align the proper capabilities at key lifecycle moments with clear accountability. Cultivate trusted relationships with C-level executives (CIO, CDO, CTO) across major accounts, driving strategic alignment between Snowflake's platform vision and customer business transformations. Partner with Sales and HR leadership to define the ideal SE team structure, coverage model, and capacity plan across rapidly expanding global accounts. Instill a culture of technical rigor, customer obsession, and collaboration across the UK and EMEA, ensuring SEs uphold Snowflake's high standards for technical excellence and solution design while remaining closely aligned to customer outcomes and value. Partner with Industry Sales Leaders, Product Management, Engineering, FCTO and Industry/Field Marketing to define the technical vision and solution roadmap for all accounts within your remit — including identifying repeatable technical patterns, customer use cases, and strategic industry partnerships. Work closely with our partner community to implement scale and velocity initiatives that amplify our technical go-to-market motion especially within our key GSI and CSP engagements. Participate in executive-level customer Quarterly Business Reviews (QBRs) and technical steering committees to ensure the Snowflake platform remains aligned with customers' multi-year strategies. Partner with your senior sales leadership counterpart to jointly own the business — achieving quota targets, forecasting growth, and taking full accountability for building the organization. On day one, we will expect you to have: 8+ years of industry experience in a pre-sales capacity, navigating complex enterprise sales cycles. 3+ years of direct people-management experience, including hiring, developing, and retaining top talent across distributed organizations. Proven capability establishing strategic influence at the Board, CIO, CDO, and CTO levels within major enterprise environments. Practical mastery of MEDDPICC principles, applying them as a core operational discipline to drive predictable performance. Demonstrated expertise organizing cross-functional specialists and partner resources across multi-faceted sales engagements. A demonstrated ability to build and drive industry-verticalized go-to-market efforts within a relevant industry. A strong understanding of, and experience with, data architecture, data analytics, and cloud technology. Extensive experience supporting a diverse range of account verticals, spanning both acquisition and expansion motions. Exceptional customer-facing communication skills — written and verbal — enabling you to establish credibility and build a network of senior technical and business stakeholders. A composed, positive outlook that anchors the team through the volatility of global sales and the fast-paced change synonymous with Snowflake's growth trajectory. —----------------------------- People want to buy from people who understand them and their businesses. Our Sales Engineers build connections, relationships, and trust with our customers that last. We love to learn, are open to giving and receiving feedback, and are passionate about making our customers — and each other — successful. This is something that must be cherished and cultivated as leaders of the SE organisation. If you think you have what it takes, we look forward to hearing 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 Snowflake Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. We are now a global, world-class organization with offices in more than a dozen countries and serving many more. This role requires in-person attendance in our Pune office at least 3 days per week. Job Description We are looking for an Analytics Engineer to join our growing Finance Analytics Engineering team. In this role, you will drive value and empower decision-making by developing and maintaining the data infrastructure which fuels reporting and analysis for the Finance organization and has a direct impact on Snowflake’s success as a company. As an Analytics Engineer, you will be responsible for the following: Use SQL, Python, Snowflake, dbt, Airflow, and other systems while working within an agile development model to build and maintain data infrastructure for use in reporting, analysis, and automation Perform data QA and develop automated testing procedures for use with Snowflake data models Translate reporting, analysis, and automation requirements into data model requirements and specifications Work with IT and other technical stakeholders to source data from key business systems and Snowflake databases Architect flexible, performant data models that will support a wide range of use cases while driving the organization towards single sources of truth Provide input into data governance strategies and frameworks including permissions and security models, data lineage systems, and data definitions Meet regularly with Finance BI and technical leads to define requirements, formulate project plans, provide status updates, and perform user testing and QA Build and maintain user friendly documentation for data models and key metrics Identify weaknesses in processes, data, and systems, and drive organizational improvements within the Analytics Engineering team What You Will Need Required skills: 3+ years of experience working as an analytics, data, or BI engineer Advanced SQL skills with experience standardizing queries and building data infrastructure involving large-scale relational datasets Experience using Python to parse, structure, and transform data Experience with MPP databases such as Snowflake, Redshift, BigQuery, or other relevant technologies Ability to communicate in an effective and efficient manner while working with a wide range of stakeholders Ability to prioritize and execute tasks in a high-pressure, constantly changing environment Ability to think creatively to solve problems An impulse for introducing structure and simplicity into vague, complex problems An obsession for detail and quality An ability to identify weaknesses in data and process, and a willingness to drive improvement A bias for action Preferred skills: Experience with ERP and Financial Planning tools Experience using Python to parse, structure, and transform data Experience working with CI/CD pipelines Experience leading or working within a scrum, sprint, or other agile framework Past experience supporting product or product finance stakeholders Experience working with cost attribution models for SaaS products and tying products out to CSP cost reports Familiarity with cloud cost management and understanding of cost structures in cloud environments (e.g. FOCUS Framework) Demonstrated experience in cloud computing platforms (e.g., AWS, Azure, Google Cloud) 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? 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 runs large scale cloud infrastructure to deliver its own service — production and internal deployments, Kubernetes fleets, CI/CD, etc. Our cloud spend is in billions of dollars per year. The Cloud Efficiency team builds a unified, self-serve cloud efficiency platform along with AI skills and agents that makes spend observable, attributable, governable while driving insights and optimization of our cloud spend. AS A SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL: Design, develop, and maintain scalable platform for resource ownership registry, usage attribution, utilization measurement, and cost modeling. Build AI agents, tools and automation to enhance system monitoring, alerting, and root cause analysis. Improve and optimize data ingestion, storage, and query efficiency for cloud utilization, cost and efficiency data at scale. Collaborate with teams across Snowflake to understand attribution and observability needs and implement solutions that improve operational visibility. Contribute to open-source and industry best practices in monitoring and distributed systems monitoring. Ensure high availability, reliability, and performance of team-managed platforms by participating in on-call rotations and incident management. Partner with Finance, Product and Engineering teams to turn usage, cost and utilization insights into landed operational change. WHAT WE LOOK FOR: 7+ years of industry experience designing, building and supporting large scale systems in production. Experience with cost optimization and efficiency work on systems built on large private clouds or public cloud providers Deep system and architectural analysis experience to identify actionable performance and efficiency insights History of delivering large cross functional projects with measurable impact Proficiency in programming languages such as Go, Python or Java. Excellent problem-solving skills and ability to troubleshoot complex issues in a production environment. Strong communication skills and ability to collaborate effectively in a team environment. BS / MS in Computer Science, Engineering or related fields Prior background building AI agents and working with LLMs NICE TO HAVE Experience developing or using observability infrastructure such as OpenTelemetry, Prometheus etc Working knowledge of cloud infrastructure and its billing models — AWS, Azure, or GCP: compute instance families, storage tiers, networking and data-transfer charges, reserved vs. on-demand, and how billing/CUR exports are structured. FinOps experience: cost attribution, chargeback, showback, or unit-economics programs. 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 Senior Software Engineer for our Cloud Security team. This team reduces risk to Snowflake at scale through software-defined controls rather than one-off fixes, building the platforms and pipelines that make entire classes of problems go away. You won't just find problems; you'll ship the systems that improve and verify the security posture of Snowflake products across 600+ million assets and three cloud providers (AWS, Azure, and GCP), with a growing focus on using AI to reason over posture data at a scale humans can't. AS A SENIOR SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL: Build solutions and services that operate, protect, and govern our security posture across 600+ million assets and three clouds (AWS, Azure, GCP). Automate security controls across cloud environments, including core primitives: IAM, detection and monitoring, configuration management, and data protection. Build real-time security monitoring, logging, and alerting, using Snowflake technologies to make Snowflake more secure. Define and maintain security baselines, policies, and standards for public cloud platforms. Design and operate continuous, AI-augmented pipelines that ingest posture and telemetry across hundreds of millions of assets, score risk, and automatically surface the highest-impact issues. Own security workstreams end to end and raise the engineering bar through design reviews, mentorship, and technical guidance for the team. Bring software engineering best practices to security work: documentation, testing, and observability, because a control you can't test, monitor, or reason about isn't a control. OUR IDEAL SENIOR SOFTWARE ENGINEER WILL HAVE: 5+ years of software engineering experience preferred, or equivalent experience. Experience designing and owning secure, large-scale systems, with working knowledge of secure architecture principles and threat modeling. A passion for developer experience: making security the default rather than a restriction. Experience building software in one or more languages such as Java, C++, Go, or Python. Familiarity with distributed architectures and building scalable APIs (e.g., gRPC, REST). Strong collaboration and communication skills across engineering and cross-functional stakeholders. A commitment to data-driven, scalable decision-making that holds up over time. BONUS POINTS FOR THE FOLLOWING: Experience applying AI/ML to security problems (detection, risk scoring, prioritization) and building the data pipelines that feed them. Proficiency writing, debugging, and optimizing SQL for data-driven security operations, as a supporting capability. A strong grasp of algorithms and data structures applied to complex problems. Hands-on experience with Kubernetes and IaC (Terraform, Pulumi). Experience designing scalable, concurrent, resilient services for high-demand, multi-cloud environments. WHY JOIN OUR CLOUD SECURITY TEAM AT SNOWFLAKE? Our work centers on a platform that makes security easy to deploy and maintain: unifying the developer security experience, increasing developer autonomy, detecting vulnerabilities before they ship, and delivering secure-by-default solutions. A growing part of that is using AI to turn raw posture signal into prioritized action at a scale humans can't match. If you want to build the systems that make entire classes of security problems disappear, and deliver a world-class security experience for developers at Snowflake, this is the team. 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 Senior Software Engineer for our Cloud Security team. This team reduces risk to Snowflake at scale through software-defined controls rather than one-off fixes, building the platforms and pipelines that make entire classes of problems go away. You won't just find problems; you'll ship the systems that improve and verify the security posture of Snowflake products across 600+ million assets and three cloud providers (AWS, Azure, and GCP), with a growing focus on using AI to reason over posture data at a scale humans can't. AS A SENIOR SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL: Build solutions and services that operate, protect, and govern our security posture across 600+ million assets and three clouds (AWS, Azure, GCP). Automate security controls across cloud environments, including core primitives: IAM, detection and monitoring, configuration management, and data protection. Build real-time security monitoring, logging, and alerting, using Snowflake technologies to make Snowflake more secure. Define and maintain security baselines, policies, and standards for public cloud platforms. Design and operate continuous, AI-augmented pipelines that ingest posture and telemetry across hundreds of millions of assets, score risk, and automatically surface the highest-impact issues. Own security workstreams end to end and raise the engineering bar through design reviews, mentorship, and technical guidance for the team. Bring software engineering best practices to security work: documentation, testing, and observability, because a control you can't test, monitor, or reason about isn't a control. OUR IDEAL SENIOR SOFTWARE ENGINEER WILL HAVE: 5+ years of software engineering experience preferred, or equivalent experience. Experience designing and owning secure, large-scale systems, with working knowledge of secure architecture principles and threat modeling. A passion for developer experience: making security the default rather than a restriction. Experience building software in one or more languages such as Java, C++, Go, or Python. Familiarity with distributed architectures and building scalable APIs (e.g., gRPC, REST). Strong collaboration and communication skills across engineering and cross-functional stakeholders. A commitment to data-driven, scalable decision-making that holds up over time. BONUS POINTS FOR THE FOLLOWING: Experience applying AI/ML to security problems (detection, risk scoring, prioritization) and building the data pipelines that feed them. Proficiency writing, debugging, and optimizing SQL for data-driven security operations, as a supporting capability. A strong grasp of algorithms and data structures applied to complex problems. Hands-on experience with Kubernetes and IaC (Terraform, Pulumi). Experience designing scalable, concurrent, resilient services for high-demand, multi-cloud environments. WHY JOIN OUR CLOUD SECURITY TEAM AT SNOWFLAKE? Our work centers on a platform that makes security easy to deploy and maintain: unifying the developer security experience, increasing developer autonomy, detecting vulnerabilities before they ship, and delivering secure-by-default solutions. A growing part of that is using AI to turn raw posture signal into prioritized action at a scale humans can't match. If you want to build the systems that make entire classes of security problems disappear, and deliver a world-class security experience for developers at Snowflake, this is the team. 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 a high-growth, cloud-native data platform company committed to empowering enterprises to achieve their full potential. With a culture built on impact, innovation, and collaboration, we offer an environment where you can build large-scale systems, move fast, and take your technology career to the next level. As a Staff Software Engineer on the Snowtrail team, you will help Snowflake realize its mission and vision by accelerating the delivery of high quality software to production. You will have the opportunity to design and build software systems to help engineering teams increase their development velocity and provide quality validation, optimized for cost and performance. You will ensure that the team is executing towards serving the current needs of its customers, while also ensuring that we stay ahead of technological trends and future demands. OUR IDEAL STAFF SOFTWARE ENGINEER WILL HAVE: Experience with SQL or other database technologies including internal design and implementation Experience with query optimization, query execution, compiler design and implementation Experience with MySQL, PostgreSQL internals Experience designing, building, and operating large-scale distributed systems infrastructure Excellent problem solving skills, and strong CS fundamentals including data structures, algorithms, and distributed systems Ability to work in a team environment, collaborate well, and mentor junior engineers Ability to work on-site at our Bellevue, WA or Menlo Park, CA offices. BONUS POINTS FOR EXPERIENCE WITH ONE OR MORE OF THE FOLLOWING: Experience with Release Validation Pipelines, Test infrastructure in Production. 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