MLabs
MLabs
MLabs is a technology consultancy that helps organizations define, build, manage, and maintain complex software projects. Its work spans Haskell, Rust, blockchain, and artificial intelligence, supported by capabilities in functional programming, compiler development, DevOps, and full-stack engineering. The company primarily serves clients in fintech and information technology, offering technical expertise across the project lifecycle.

Quant Developer Relations Engineer

Connect institutional prime broker APIs and SDKs with systematic trading teams. Support low-latency infrastructure, monitoring, and technical onboarding.

Description

  • Lead technical integrations for systematic trading teams, proprietary funds, and institutional builders.
  • Develop and maintain production-ready SDKs, API documentation, integration templates, and automated testing tools.
  • Provide first-line technical support and diagnose live issues through dedicated channels and community portals.
  • Create health checks and monitoring configurations to assess integration performance, reliability, and data stream integrity.
  • Relay institutional users’ technical issues, integration challenges, and operational needs to core engineering teams to guide system improvements.

Requirements

  • Experience with algorithmic trading architectures, quantitative developer tools, or exchange-style integration frameworks.
  • Proficiency in system and scripting languages, particularly Python, TypeScript, and Rust.
  • Practical experience integrating high-throughput REST and WebSocket APIs in low-latency environments.
  • Strong debugging skills across multi-tier applications and distributed systems.
  • Clear professional communication and the ability to work with advanced technical stakeholders and institutional clients.
  • A practical, delivery-focused approach to building scalable solutions on rapid deployment cycles.

Benefits

  • Institutional equity package of 0.2%–0.5%.
  • Opportunity to build infrastructure for global decentralized finance and systematic trading.
  • Remote-first work environment with substantial autonomy and ownership.
  • 20-minute introductory interview with the co-founder.
  • 30-minute technical interview with the lead engineer.
  • 30-minute technical deep dive with the co-founder.
  • Three-day work trial focused on collaboration and production execution.

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