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Backend Engineer (NYC)

MLabs
CompanyMLabs
CategoryEngineering
LocationNew York
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted22 Jun 2026
Last verified30 Jul 2026
SourceEmployer career page (workable)
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Description
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 wi
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