Senior Software Engineer, Docs Product

About Stripe

Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet.

What you'll do

Responsibilities

• Lead the technical design and architecture of major platform initiatives, author design documents and build consensus across engineering teams.
• Define technical roadmaps for complex, multi-quarter projects that span multiple teams.
• Make critical architectural decisions for company documentation infrastructure, balancing scalability, reliability, and developer experience.
• Evaluate and set direction for integrating emerging technologies, including AI/LLM capabilities, into company documentation platforms and authoring tools.
• Establish and evolve engineering standards, best practices and technical guidelines for the team and broader organization.
• Partner with engineering teams across the company to understand documentation needs and design integrated solutions.
• Design, build and maintain scalable, reliable and performant services and systems.
• Contribute high-quality code across the full stack and navigate codebases with different languages and tools.
• Debug and resolve complex production issues and improve system reliability.
• Take ownership of system health and incident response.

Minimum Requirements

• Bachelor's degree or foreign equivalent in Computer Science, Software Engineering, Engineering, or a related field, plus four (4) years of experience in Software Engineering.
• 4 years of experience working in a full stack environment with a focus on Ruby, Java, TypeScript, or Bazel.
• 4 years of experience working as a technical lead for large projects; defining roadmaps for projects that span >6 months and across several teams.
• 2 years of experience authoring and reviewing technical design documents and driving architectural decisions for complex systems while collaborating with junior colleagues.
• 2 years of experience building and scaling automated testing and validation frameworks.
• 2 years of experience designing and implementing persistent data models using MongoDB.
• 2 years of experience implementing emerging technical standards for AI/LLMs.