Define and own the architectural vision for the SiS platform spanning the SPCS container runtime, the warehouse runtime, the embedding SDK, developer tooling, and the Snowsight integration layer.
Drive the platform's evolution toward its next-generation capabilities building on publicly shipping features like chromeless viewer URLs and IdP integration, and shaping the architectural direction for areas still in development.
Serve as the primary technical representative for SiS in company-wide architecture forums, shaping Snowflake's broader app platform strategy.
Establish engineering standards for performance, reliability, and scale ensuring SiS can handle many concurrent users with fast startup times and high availability.
Lead the technical design and review process for high-stakes, cross-functional initiatives: working closely with infrastructure, Snowsight, Cortex/AI, security, and the open-source Streamlit project.
Be a strong hands-on contributor by authoring specs, implementing changes, reviewing PRs, and setting a high bar for code quality, API design, and system architecture.
Mentor and grow senior engineers on the team; identify and incubate the next generation of technical leaders. Level up the team through your example and high standards and knowledge sharing.
Partner with Product and Design to drive the roadmap and translate customer needs (performance, scale, OSS parity) into robust engineering solutions.
Advocate for SiS developers and end users by balancing the developer experience of Python engineers with the scalability needs of enterprise customers embedding Streamlit.
Requirements
15+ years of software engineering experience, with a demonstrated track record of architecting and shipping production-grade developer platforms or application runtimes.
Strong expertise in Python application runtimes, server-side frameworks, and distributed execution environments with a deep understanding of performance, reliability, and lifecycle management at scale.
Strong understanding of container-based execution environments (Docker, Kubernetes, SPCS or similar) and the performance/reliability tradeoffs they introduce.
Hands-on experience designing and evolving developer-facing SDKs, embedding APIs, or component libraries including thoughtful API versioning and backward compatibility.
Demonstrated ability to lead technical programs that span multiple teams and organizational boundaries driving clarity, alignment, and accountability without direct authority.
Experience with enterprise SaaS reliability requirements: multi-tenancy, scale, security review processes, and graceful migrations.
Familiarity with the open-source Streamlit framework or similar Python-based app frameworks is a strong plus.
Experience working with IdP integrations, OAuth flows, or authentication systems for embedded/public-facing web applications is a plus.
(nice to have) Familiarity with the web platform (TypeScript/JavaScript, browser APIs, WebSockets, service workers, iframe/cross-origin security models) particularly as it relates to how Python-backed apps are served and embedded in the browser.
Tech Stack
Docker
JavaScript
Kubernetes
Python
TypeScript
Benefits
Shape the future of data app development
Solve genuinely hard problems at the intersection of distributed systems, web platform engineering, and developer experience from sub-second cold starts to embedding apps inside third-party products.
Work alongside the core Streamlit open-source contributors and influence the direction of one of the fastest-growing Python frameworks.
Join a tight-knit, high-ownership engineering team that has shipped SiS vNext from private preview to GA and is now building the features that will define the next chapter of the product.
Be part of a company that combines the resources and reach of a market leader with a decisive, ship-it-today engineering culture.