R
Rogo
Staff Software Engineer (Backend)
Skills
RustJavaAINotionFigma
2 months ago
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Important information
Contract type:
Permanent
Location:
New York, NY, USA
Work mode:
Onsite
Published on:
29 August 2026
What they need
- As a Staff Backend Engineer at Rogo, you’ll be at the cutting edge of AI research and application development, playing a crucial role in creating a category-defining product and scaling it to massive enterprises
- Architect REST and gRPC APIs that are backed by stable, scalable server side implementations and asynchronous code
- Design and build large-scale infrastructure to power crawling, ranking, and retrieval systems
- Ship secure and compliant code: implement security concepts to develop software dealing with sensitive data
- Write robust code that’s easy to read, maintain and test
- Raise the bar for code quality, reliability and product velocity. Collaboratively, you’ll push yourself and peers to develop technically and interpersonally- 6+ years of experience building and scaling distributed systems
- Bachelors in Computer Science or related degree
- You love writing highly performant and readable code that is well-tested
- Track record of shipping high-quality products
- Experience with a strongly typed language (e.g., Rust, C++, or Java)
- Strong programming skills and general Computer Science knowledge
- You are collaborative, organized, and thoughtful
- You are ambitious. You have fun solving problems that others think are impossible
- You thrive in fast-paced environments. You are high-intensity and care a lot about what you do, and you’re ecstatic to work at a start-up
- You are curious. You find joy in learning about AI, technology, and finance
- You are an owner. You are autonomous, self-directed, and comfortable working with ambiguity
- Experience with an interface definition language like protocol buffers and gRPC
- Financial services experience
- Experience in world-class product organizations (e.g., Notion, Figma)
- Early engineer at a hyper-growth startup
- Experience with Map Reduce or other massively distributed parallel computation frameworks
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