Snowflake

Principal Software Engineer for Snowflake's AI team, focusing on building and scaling customer-facing AI Functions product, a key Cortex Platform feature. The role involves designing and implementing highly scalable distributed platforms for AI ETL pipelines, ensuring operational readiness, and collaborating across teams to deliver AI services reliably at scale within the Snowflake ecosystem.

Software Engineer role focused on building and deploying LLM and agent-based architectures for customer support and sales, including fine-tuning models, developing agents, and implementing scalable evaluations. The role involves working with ML and LLM solutions to automate processes and augment technical staff capabilities.

Senior Software Engineer role focused on building internal and external technologies for customer experience using ML and LLM-based solutions, including agent-based architectures for troubleshooting, process automation, and incident discovery. The role involves developing and refining ML models, designing metrics, implementing projects across the stack (Java, Python), and collaborating with cross-functional teams. Experience with LLMs, agents, embeddings, clustering, and production systems is required.

Software Engineering Intern role at Snowflake, contributing to an AI-focused R&D team building AI-powered products like Snowflake Intelligence. The role involves designing, implementing, and maintaining AI systems, ML pipelines, and optimizing model serving and inference infrastructure.

Snowflake is seeking a Senior Data Engineer to join their Product and Data Science team. The role involves designing, building, and maintaining scalable data pipelines using Snowflake and cloud technologies, with a focus on cost optimization, performance, and data quality. The engineer will also build dashboards, implement data governance, and collaborate with data scientists and product teams. While the role mentions using AI tools like Cursor and working in an 'agentic enterprise' context, the core responsibilities are centered around traditional data engineering tasks.

Snowflake is seeking a Data Engineer to join their Product and Data Science team. The role involves designing, building, and maintaining scalable data pipelines using Snowflake and cloud technologies, with a focus on cost optimization, performance, and data quality. The engineer will also build dashboards, implement data governance, and collaborate with data scientists and product teams, utilizing modern AI tools like Cursor to accelerate development.

Staff Software Engineer on the Production Engineering Team at Snowflake, focusing on reliability, SLOs, incident response, and scaling distributed systems to support the company's growth and the era of the agentic enterprise.

Software Engineer for Production Engineering at Snowflake, focusing on reliability tools and processes for large distributed systems. The role involves improving service lifecycles, scaling systems through automation, incident response, debugging, and collaborating on SLOs. While the company emphasizes an 'agentic enterprise' and AI as a collaborator, this specific role is in Production Engineering, not directly building AI models or systems.

Software Engineer for Platform Infrastructure Engineering at Snowflake, focusing on building and operating highly scalable, resilient, and performant infrastructure for the Data Cloud Platform. The role involves simplifying large-scale infrastructure, improving reliability, enabling global operations, managing complex infrastructure changes, and maintaining high SLOs. It requires strong software engineering fundamentals, cloud computing experience, and proficiency in areas like container platforms, automation, networking, and infrastructure as code.

Snowflake is looking for Software Engineers to develop in-house connectors for their data platform, focusing on exposing APIs and frameworks for other developers to create their own connectors. The role involves designing and developing data integration and processing applications, extending a connector platform, optimizing performance, and collaborating with PMs and customers to translate business requirements into solutions. The ideal candidate has 3+ years of experience in Java, building large-scale distributed cloud systems, and SQL.

Senior Software Engineer at Snowflake focused on developing in-house connectors to external systems and data warehouses, exposing APIs, blueprints, and frameworks for other developers to create their own connectors. The role involves designing and developing data integration and processing applications, extending a connector platform, optimizing performance, and collaborating with various teams and customers.

This role is for a Senior (Staff) Penetration Tester at Snowflake. While the company emphasizes an 'AI-native' approach and mentions 'AI Agents and Systems' as a target for testing, the core function of the role is penetration testing and security assessment, not the development or direct application of AI/ML models. The role focuses on finding vulnerabilities in software, systems, and networks across various technologies and cloud environments.

Snowflake is looking for a Senior Security Engineer to join their Product Security team. The role involves designing, building, and scaling security solutions to protect Snowflake's products and customers. This includes leading threat modeling, secure design reviews, and building security tooling and automation. The ideal candidate will have expertise in security or software engineering, experience with distributed systems, and proficiency in programming languages like Python or Go.

This is an internship role for a Software Engineer (Backend) at Snowflake, focusing on building enterprise-grade software and integrations. While the company mentions powering the 'era of the agentic enterprise' and using AI as a collaborator, the core responsibilities of this specific internship are traditional software engineering tasks, not directly building or deploying AI models or systems. The role emphasizes learning about building reliable software, working with cloud infrastructure, and contributing to customer-facing features.

Senior Engineering Manager to lead and grow Developer Platform teams in Warsaw, Poland, owning the Drivers, SDKs, APIs, and Clients pillar. Focus on delivering a unified driver stack and impacting developer experience on the Snowflake platform.