About the Role
About the Company
We are an early-stage Fintech + AI startup backed by seasoned investors from the financial and technology sectors. Our mission is to reinvent how users interact with modern financial tools by combining AI-driven intelligence with high-performance trading and investment infrastructure.
Role Overview
As a Founding Engineer with a focus on Backend and Data, you will be the core architect of our financial engine. You will design, build, and scale the robust server-side systems that power our trading infrastructure and data processing pipelines, ensuring high availability, latency, and security for our AI-driven financial tools.
What You’ll Do
- Backend Architecture: Design and implement scalable backend services, APIs, and data infrastructure to support complex trading and investment workflows.
- Data Engineering: Build high-performance data pipelines for real-time financial market data.
- Infrastructure: Architect and manage cloud infrastructure on AWS and GCP, ensuring reliability, security, and scalability.
- Engineering Excellence: Act as an "AI-native" engineer, leveraging AI coding agents to accelerate development while maintaining rigorous code quality standards.
Ideal Candidate
Proficient in backend and data processing programming languages (Python, TypeScript, C++, or Rust). Strong experience architecting and managing cloud infrastructure and microservices. Deep understanding of distributed systems, database design, and high-concurrency environments. Bias for action, autonomy, and a track record of delivering "zero-to-one" products.
Nice to Have
- Experience training, evaluating, and deploying AI/ML models.
- Deep familiarity with trading systems and financial data architecture.
- Hands-on experience with Kubernetes, Terraform, or modern DevOps stacks.
Location
Based in or open to relocating to San Francisco.
Requirements
Backend Programming
Proficient in backend and data processing programming languages such as Python, TypeScript, C++, or Rust.
Cloud Infrastructure
Strong experience architecting and managing cloud infrastructure and microservices.
Distributed Systems
Deep understanding of distributed systems, database design, and high-concurrency environments.
Product Development
A bias for action and a track record of delivering 'zero-to-one' products.
Nice to Have
Experience training, evaluating, and deploying AI/ML models.
Deep familiarity with trading systems and financial data architecture.
Hands-on experience with Kubernetes, Terraform, or modern DevOps stacks.