A cutting-edge Web3 and data-driven trading start-up is building a platform that lets users discover and trade real-time market trends. By combining social data signals, decentralized finance infrastructure, and a sleek consumer interface, the company enables users to measure and act on global attention turning sentiment into an investable asset class. The team is tackling complex engineering challenges at the intersection of financial markets, data modelling, and large-scale distributed systems.
Requirements
- Deep expertise in Java or Python (language flexibility).
- Strong experience building APIs, microservices, and distributed systems at scale.
- Proficiency with cloud infrastructure (AWS, GCP, or Azure).
- 2+ years of hands-on experience with Kubernetes.
- Strong background in system design, architecture, and infrastructure.
- Experience architecting backend systems for start-ups or zero-to-one products.
- Familiarity with Rust or other modern backend languages.
Responsibilities
- Design and implement reliable, performant backend services and APIs using Java or Python.
- Develop and maintain distributed systems capable of handling gigabyte-scale data and thousands of concurrent users.
- Collaborate with quant and smart contract teams to integrate backend systems with trading infrastructure.
- Apply best practices in security, reliability, and high-performance system design.
- Participate in architecture discussions, code reviews, and technical roadmap planning.
- Contribute to scaling infrastructure and optimizing application performance as the platform grows.
Other
- 4+ years of experience in backend engineering (mid-level; roughly equivalent to L4L5 at large tech companies).
- Comfort working in fast-paced, product-driven environments focused on reliability and scalability.
- Start-up or early-stage product experience.
- Background in payments, fintech, or crypto/Web3 systems.
- New York City (in-person, 5 days/week) relocation supported within the U.S. (up to $10K)
