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Backend Engineer (NYC) (A01)
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Location: New York, United States (Hybrid)

Hybrid | Full-time

Compensation: $180K - $320K



Our client is the largest decentralized perpetual exchange on Arbitrum, having processed over $20 billion in cumulative trading volume since its launch in late 2024. The platform enables leveraged trading of real-world assets, including commodities, forex, indices, and stocks—alongside cryptocurrency, bringing global markets on-chain with full self-custody.


A mid- to senior-level Backend Engineer is required to join an ambitious team focused on scaling a state-of-the-art infrastructure layer. This infrastructure is designed to allow engineering teams to self-serve 90% of their needs, enabling this role to focus entirely on high-level, high-impact projects. The successful candidate will collaborate closely with quants, infrastructure specialists, and data engineers to build a centralized pricing plane and an extremely dynamic pricing system that determines market competitiveness in real time.


Key Responsibilities

  • Develop the Entity Service API: Build and maintain a core central configuration plane used to manage assets, mappings, market hours, data providers, smart contract parameters, algorithm parameters, and more.
  • Build the Entity Service UI: Deliver an internal UI allowing team members to propose changes, review configurations, and leave comments, backed by robust Access Control Lists (ACL) and user management.
  • Architect a Low-Latency Pricing System: Assist in designing and implementing a highly reliable, dynamic pricing engine capable of pricing every incoming transaction in real time to optimize liquidity attraction.
  • Collaborate Across Teams: Partner with quants, infra, data, and backend engineers to establish a centralized pricing plane reflecting precise real-dollar values across every part of the system.
  • Propose and Own Initiatives: Take stock of system needs, evaluate what delivers the most value, and propose independent workflows and paths forward.


Requirements

Technical Experience

  • Golang Expertise: Strong experience as a Go engineer with a deep understanding of how to leverage AI tools effectively in the development process while maintaining rigorous validation criteria.
  • Data & Schema Design: Deep expertise with database schema design, evolution, and iteration.
  • Financial Domain Knowledge: Direct experience with trading systems and a strong understanding of financial concepts, instruments, and market mechanics.
  • Modern Tech Stack: Hands-on experience with Postgres, NATS, Redpanda, gRPC, REST APIs, and WebSockets.


Professional Attributes & Characteristics

  • Security-Minded: A proactive approach to identifying and decreasing security attack vectors across the backend ecosystem.
  • AI Power User: An engineer who utilizes AI effectively to accelerate workflows, validates all outputs critically, and implements strict technical guardrails rather than relying on unverified generation.
  • Solution-Oriented: Focused on enabling internal teams and engineers to move as fast as possible by addressing requests and unblocking technical dependencies.
  • Humble & Adaptive: A strong willingness to learn from quants, operations, and cross-functional engineering teams, maintaining flexibility without being attached to rigid legacy methods.
  • Mission-Driven & Collaborative: A team-first competitor focused on overall organizational success, execution, and collective goals.
  • Disagree and Commit: Open to voicing proposals and participating in rigorous debate, with a proven ability to fully commit to and execute decisions 100% once a path is finalized.



Benefits

  • Competitive base salary.
  • Equity ownership options.
  • Token incentives aligned with protocol growth.
  • Opportunity to work at the forefront of DeFi and decentralized real-world asset (RWA) trading.



Interview Process



1. Hiring Manager Interview

30-minute introductory call with the Backend Lead to discuss the role, team, and candidate background.

2. Technical Interview – System Design

A technical discussion focused on system architecture, scalability, and design decision-making.

3. Technical Interview – AI Coding Round

A coding assessment designed to evaluate problem-solving ability and experience with AI-related concepts and implementation.

4. Final Interview

Final conversation with the CTO focused on culture fit, team alignment, and any remaining questions before moving to the offer stage.


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