Software Engineering Intern Winter Salary India in Bellevue

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 Software Engineer - External Observability Platform Location: Bellevue, WA (Hybrid: 3 days/week in-office) Team: Infrastructure & Observability Platform Engineering About the Role Snowflake’s Data Cloud processes exabytes of data across multi-cloud global environments every day. Delivering seamless reliability and real-time visibility to thousands of global enterprise customers requires an Observability Platform built on hyper-scalable backend distributed systems. We are seeking a Senior Software Engineer to own key components of our AI native External Observability Platform . In this role, you will contribute to the technical road map for customer-facing telemetry, system metrics, audit logs, distributed tracing, and actionable operational insights. You will build high-throughput, low-latency infrastructure capable of ingesting, processing, and serving petabytes of telemetry data with strict SLA guarantees. You will join a team of world-class engineers in our Bellevue, WA office. To be successful, you must be deeply technical, capable of leading complex technical projects, and skilled at collaborating with the brightest technical minds in the industry. Key Responsibilities Develop and Scale Distributed Infrastructure: Design and implement key components of Snowf

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. Build Core Data Engineering Primitives at Cloud Scale Data pipelines are foundational infrastructure — when they're fast, correct, and maintainable, customers build on them with confidence. If you've spent the bulk of your career building large-scale data infrastructure — designing streaming or transformation primitives, reasoning hard about consistency and fault tolerance, and owning the systems that run under millions of customer workloads — this role might be for you. You'll be working on the streaming and transformation layer at Snowflake: the constructs that define how customers move, shape, and maintain data. AI has a real presence in this work — in how customers use these pipelines and in how we think about building them — but the core job is hard distributed systems engineering, and that's what we're hiring for. About the Team We build the core data engineering primitives that power Snowflake's streaming and transformation capabilities. From the constructs customers use to define real-time pipelines to the execution fabric that makes those pipelines reliable and cost-efficient at cloud scale, our team owns the full stack of declarative data engineering. We're a small, high-ownership team operating close to the product — which means your decisions ship, your architec

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 across our Identity, Data Security and Trust organization. These teams builds the security backbone of Snowflake — enabling customers to confidently bring their most sensitive data and workloads to the Data Cloud, empowering every Snowflake engineer to deliver the most secure platform at scale, and giving customers the tools to monitor, achieve, and maintain a strong security, governance, privacy, and compliance posture. As the agentic era accelerates, these teams are at the forefront of building AI-native security capabilities that protect the world's data. AS A SENIOR SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL: Design and implement critical AI security capabilities — including controlled, audited agent workflows, MCP server and client security, agent identity frameworks, and admin guardrails — that form the foundation for secure agentic enterprise adoption Build and evolve foundational identity and access management systems, including authentication protocols, SSO integrations, multi-factor authentication, OAuth/OIDC, SAML, SCIM, and fine-grained RBAC that scales to millions of objects and users Design and develop core security infrastructure spanning secret management, key management, service identity, and end-to-end encryption acro

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 looking for a talented and passionate Senior Software Engineer for our Snowpark Container Service , part of our Snowflake Compute Platform - to build our elastic, high-scale, high-performance, cloud native compute platform to enable bringing Compute to Data effortless and simple. Snowpark Container Services is a fully managed container offering that helps our customers easily deploy, manage, and scale containerized applications without having to move data out of Snowflake. As a fully managed service, it comes with Snowflake security, configuration, and operational best practices built in. You will be part of this highly productive, fast moving, and growing team that is critical to realizing Snowflake’s Data Cloud Mission. AS A SENIOR SOFTWARE ENGINEER, YOU WILL: ● Design and develop features, understand customer requirements and meet business goals. ● Lead a team of engineers, including mentoring and guiding them, and build technical direction and strategy for large and critical parts of the product surface area. ● Manage all aspects of the Project, including Design, Coding, Reviews, Testing, Observability, Tooling and On-Call support. ● Build highly reliable and fault-tolerant software to meet the needs of the largest customers. ● Ensure operational readiness and ma

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 Identity & Access management (IAM) team’s charter is to enable our customers to confidently bring their most sensitive data and workloads to Snowflake. We provides the authentication and authorization capabilities for customers to secure their Snowflake accounts. We are heavily focused on critical AI adoption and security capabilities like Snowflake Intelligence access control, MCP server and clients, Agent identity, Admin guardrails for agents etc. Our feature set includes capabilities like user management, secret-less authentication for both human and service users, SSO integration with numerous IdPs, MFA, OAuth and OIDC support for 3P applications, and RBAC for granular access control. Our systems are critical to customer trust and maintaining Snowflake’s security, reliability and performance. The team culture is very collaborative with ample opportunities for growth and mentorship from Principal engineers. AS A SENIOR SOFTWARE ENGINEER - IDENTITY & ACCESS MANAGEMENT, YOU WILL: Design and implement critical AI security capabilities for controlled, audited, restricted agent workflows, both inbound and outbound. Design and implement features that provide critical identity and access management capabilities, including integration with the next generation identit

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 Dynamic Tables Dynamic Tables (DTs) are Snowflake's declarative streaming transformation primitive. Customers define a SQL query and a freshness target; Snowflake handles the rest: orchestrating refreshes, maintaining snapshot consistency across a DAG of dependencies, and automatically incrementalizing the computation so that cost scales with what changed. Dynamic Tables is one of the fastest growing products at Snowflake and is a core part of Snowflake’s Data Engineering strategy. The Dynamic Tables performance team is responsible for making incremental refresh fast, predictable, and cost-efficient across increasingly complex query shapes. As a Staff Engineer on this team, you will own the technical direction for critical performance initiatives and be a force multiplier for the engineers around you. What You'll Do Lead the design and implementation of performance improvements to the incremental view maintenance engine, including multi-join incrementalization, novel incrementalization semantics, incremental window functions, and stacked operations. Help define the roadmap for the incremental view maintenance engine, identifying key performance, scalability, and correctness milestones, prioritizing high-impact enhancements, and aligning technical investments with prod

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 looking for a talented and passionate Senior Software Engineer for our Snowpark Container Service , part of our Snowflake Compute Platform - to build our elastic, high-scale, high-performance, cloud native compute platform to enable bringing Compute to Data effortless and simple. Snowpark Container Services is a fully managed container offering that helps our customers easily deploy, manage, and scale containerized applications without having to move data out of Snowflake. As a fully managed service, it comes with Snowflake security, configuration, and operational best practices built in. You will be part of this highly productive, fast moving, and growing team that is critical to realizing Snowflake’s Data Cloud Mission. AS A SENIOR SOFTWARE ENGINEER, YOU WILL: ● Design and develop features, understand customer requirements and meet business goals. ● Lead a team of engineers, including mentoring and guiding them, and build technical direction and strategy for large and critical parts of the product surface area. ● Manage all aspects of the Project, including Design, Coding, Reviews, Testing, Observability, Tooling and On-Call support. ● Build highly reliable and fault-tolerant software to meet the needs of the largest customers. ● Ensure operational readiness and ma

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 Principal Engineer II to architect the core data processing engine of the Snowflake Data & AI Cloud. At Snowflake, we believe that high-performance, unified compute fabrics are the indispensable building blocks for Agentic AI. Autonomous agents require more than just models; they require a high-fidelity, low-latency state layer to reason, act, and persist context. This role is not about building traditional data processing pipelines or legacy ETL/ELT workflows; it is about building the core distributed systems and atomic primitives that make those agentic workflows possible. In this role, you will be a lead architect of the Snowflake Data Transformation Engine. You will design and implement the fundamental transformations infrastructure—Stateful Stream Processing Engines, Incremental View Maintenance Engine, Materialization Internals, and the Distributed Orchestration Fabric. Our solid foundation supporting the seamless transition for enterprises between batch and streaming through Dynamic Tables, Streams & Tasks, and DBT Projects is the starting point. Your architectural work will extend the reach of the core engine to accelerate and support the massive scale of the Snowpark and Spark ecosystems. You are building the systems that allow both data eng

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. There is only one Data Cloud. Snowflake’s founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn’t stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. Easily analyze your unstructured data, build data agents and create ML workflows using a comprehensive suite of AI services, all within the same secure and governed environment as your data. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow. The identity & access management (IAM) team’s charter is to enable our customers to confidently bring their most sensitive data and workloads to Snowflake. We provide the authentication and authorization capabilities for customers to secure their Snowflake accounts. We are heavily focused on critical AI adoption and security capabilities like Snowflake Intelligence access control, MCP server and clients, Agent identity, Admin guardrails for agents etc. Our feature set includes capabilities like user management, secret-less authentication for both human and service

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. Come join us in this super high impact role as we build the future of Snowflake! Snowsight is the perfect place for data professionals to do their best work, and in this role you'll be making it even better. You'll join a wildly talented, multi-disciplinary team to not only reimagine existing Snowsight experiences, but also to extend it to exciting new surfaces and unlock high value business opportunities. Acting as a startup within Snowflake, together we'll iterate quickly, ship daily, and experiment continuously. This is a phenomenal opportunity to revolutionize how people across the world turn data into knowledge, and knowledge into opportunities. As a senior technical leader on this team, you'll have exceptional impact, both shaping and shipping amazing experiences — and helping the engineers around you do the very best work of their careers. YOU WILL: Act as a technical leader and deep domain expert across the stack, owning an area of the product end-to-end with an eye toward service health, quality, and customer experience. Lead large, cross-team projects from architecture through delivery — identifying opportunities, making the right trade-offs in the context of overall company goals, and driving them to completion. Leverage agentic AI to accelerate your work (and th

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the team The Apps & Experiences Platform team powers the systems and services behind all of our user-facing applications, including Snowsight, Snowflake Intelligence, and new mobile experiences. Our mission is to build innovative backend services, developer tooling, platform infrastructure, and AI-powered capabilities that enable exceptional product experiences at scale. As part of our team, you’ll work across feature development, platform engineering, infrastructure, and internal tooling to support both end users and developers. We care deeply about building systems that are reliable, scalable, maintainable, and performant. Snowflake is a high-growth AI Data Cloud company, and we’re looking for exceptional engineers to help us scale the next generation of our platform. A key part of this is our work on our internal AI developer agent, which is designed to democratize end-to-end app development across all engineering teams by translating product specs and designs into fully functional, production-ready features. AS A SENIOR SOFTWARE ENGINEER FOR THE APPS & EXPERIENCES PLATFORM TEAM, YOU WILL: Design, build, and operate scalable backend services and platform infrastructure that power Snowflake’s user-facing applications. Contribute across the full development l

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 Mission: Building the Data Foundations for AI We are the Snowflake Interoperable Foundations organization - the foundational layer that powers Snowflake’s AI, Analytics and Data Engineering capabilities. We lead innovations across open table formats such as Apache Iceberg, helping customers build peta-byte scale multi-cloud data lakes on Snowflake. We deliver core Metadata capabilities that power Snowflake’s industry-leading performance, AI, governance and platform features. We are embarking on a 0->1 redesign of our core systems across Interoperable Foundations. While we already manage exabyte-scale data supporting Snowflake’s AI capabilities, the next frontier is providing the foundational data layer that accelerates agentic innovation in an open, multi-format data world, You will be setting the technical vision across our investments in metadata platforms, Apache Iceberg and AI-ready storage. Your Impact: From Redesign to Reality 0->1 Architectural Leadership: Lead the ground-up redesign of our core Metadata systems, influencing the transaction frameworks that power query, DML, and AI-driven data interactions in addition to extending our lead on platform capabilities such as Zero Copy Cloning and Cross-Region / Cross-Cloud Replication. Iceberg Innovation: Drive

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 Software Engineer — Cortex Training The Snowflake ML Platform team's mission is to let customers run their most demanding ML/AI workloads inside Snowflake. Cortex Training is our LLM post-training platform: it turns scarce, expensive GPU capacity into a simple, composable service, so customers can adapt open-weight foundation models to their own business problems while we handle the hard distributed-systems parts, including scheduling, orchestration, multi-node training and inference, fault tolerance, and throughput. The platform already runs post-training at scale. Under the hood, it decouples GPU computation from the training loop and exposes it as primitive APIs that compose into everything from SFT to full RL workflows. You'll work alongside a team that ships fast & sweats reliability and the researchers behind DeepSpeed. We're looking for an engineer who thrives in the ML infrastructure layer and brings a solid understanding of LLMs and post-training to help us scale and grow it. YOU WILL: Design and build across the full stack — from the public training APIs and SDK through the control plane to the GPU data plane. Scale the distributed systems that make GPU compute serverless — multi-tenant scheduling, placement, and capacity-aware routing across regional G

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 Software Engineer — Cortex Training The Snowflake ML Platform team's mission is to let customers run their most demanding ML/AI workloads inside Snowflake. Cortex Training is our LLM post-training platform: it turns scarce, expensive GPU capacity into a simple, composable service, so customers can adapt open-weight foundation models to their own business problems while we handle the hard distributed-systems parts, including scheduling, orchestration, multi-node training and inference, fault tolerance, and throughput. The platform already runs post-training at scale. Under the hood, it decouples GPU computation from the training loop and exposes it as primitive APIs that compose into everything from SFT to full RL workflows. You'll work alongside a team that ships fast & sweats reliability and the researchers behind DeepSpeed. We're looking for an engineer who thrives in the ML infrastructure layer and brings a solid understanding of LLMs and post-training to help us scale and grow it. YOU WILL: Design and build across the full stack — from the public training APIs and SDK through the control plane to the GPU data plane. Scale the distributed systems that make GPU compute serverless — multi-tenant scheduling, placement, and capacity-aware routing across regional G

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. Engineering Manager, Cloud Efficiency 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. We are looking for an experienced Engineering Manager to lead the Cloud Efficiency engineering team. In this role, you will own the technical vision and execution for building a unified, self-serve cloud efficiency platform along with AI skills and agents that makes resource usage and spend attributable and governable while driving insights and optimization of our cloud spend. AS AN ENGINEERING MANAGER IN CLOUD EFFICIENCY, YOU WILL: Lead and grow our talented team of software engineers, fostering a culture of technical excellence, ownership, and continuous learning. Drive the roadmap for Cloud Efficiency — translating company-level spend objectives into engineering systems: authoritative cost data, resource ownership registry, attribution pipelines, cost and unit economics modeling, observability, governance policies, and optimization workflows — in partnership with Product, Engineering, Finance, and Data Science. Set technical strategy for backend systems, data pipelines, and APIs that measure, attribute and surface cost and usage insights at