Logo for MLabs

Staff Backend Engineer

Roles & Responsibilities

  • Hands-on crypto-native experience building or operating crypto wallets, tokens, trading platforms, or execution systems
  • Strong production experience with Golang, Node.js, and TypeScript
  • Deep understanding of distributed systems, performance, and reliability
  • Familiarity with trading APIs, execution flows, and transaction lifecycles

Requirements:

  • Own core systems inside the Agent Runtime to prevent autonomous agents from destroying capital
  • Develop the Hyperfeed data pipeline for enrichment (OI velocity, funding history, liquidation data, cross-asset flow detection) at scale
  • Implement the runtime execution layer with serial signal processing, atomic state management, idempotent order submission, and live risk enforcement against exchange state
  • Design and build the DSL exit engine, scanner subsystem, and learning agent infrastructure to observe trades, detect failure patterns, and drive autonomous experiments

Job description

Location: Remote (US preferred)

Level: Staff / Principal

Competitive base salary ($175K - $225K)

We are hiring on behalf of our client, a high-growth, venture-backed crypto company is hiring a Staff Backend Engineer to help build next-generation autonomous trading infrastructure.

This is a senior, ownership-heavy role working on real-time trading systems, wallets, and execution infrastructure operating under extreme market conditions. The client is highly responsive and only interviewing candidates who meet all criteria.

🚨 Non-Negotiable Hiring Criteria

Candidates must have all of the following:

  • Hands-on experience with crypto wallets, tokens, and/or trading systems
  • Deep production experience with Golang, Node.js, and TypeScript
  • Strong understanding of distributed systems, performance, and reliability
  • Deep familiarity with trading APIs, execution flows, and transaction lifecycles

If any of the above is missing, this role will not be a fit.

The Role

You’ll own core systems inside the Agent Runtime — the infrastructure that prevents autonomous agents from destroying capital. Specifically:

  • Hyperfeed data pipeline — executing the enrichment roadmap: OI velocity, funding history, liquidation data, cross-asset flow detection. Server-side computation at scale.
  • Runtime execution layer — serial signal processing, atomic state management, idempotent order submission, risk enforcement against live exchange state
  • DSL exit engine — the trailing stop-loss state machine that protects every open position. Two-phase architecture, exchange reconciliation, state recovery
  • Scanner subsystem — building new scanner types, optimizing the provider layer, wiring new Hyperfeed signals into the confluence scoring system
  • Learning agent infrastructure — building the systems that let agents observe every trade, identify failure patterns, propose runtime improvements, and launch new experiments autonomously
  • Scale — taking the runtime from hundreds of agents to tens of thousands

Requirements

What They Are Looking For

  • Seniority & Ownership
    • Staff-level engineer capable of owning large, complex systems
    • Proven ability to lead work end-to-end: problem definition → architecture → production
    • Comfortable making high-impact technical decisions in ambiguous environments

  • Crypto-Native Experience (Essential)
    • Direct experience building or operating crypto wallets, trading platforms, or execution systems
    • Deep understanding of real-world market behaviour, volatility, and scale
    • Strong intuition for how trading systems behave under stress
    • Crypto experience is essential. Product specifics can be learned - crypto fluency cannot.

  • Technical Skills
    • Strong production experience with:
    • Golang
    • Node.js
    • TypeScript
    • Deep understanding of distributed systems, performance, and reliability
    • Experience building high-throughput backend services
    • Python experience (scanners and DSL components) is a plus
    • Actively uses AI tools in development and iteration (must-have)

  • Operating Excellence
    • Experience running production systems: monitoring, on-call, incident response
    • Strong bias toward correctness and safety in financial systems
    • Pragmatic, outcome-focused approach to shipping

Benefits

    • Compensation & Upside
      • Competitive base salary ($175K - $225K)
      • Meaningful equity (~1%)
      • Performance-based bonuses tied to revenue and usage
      • Token participation aligned with future protocol launch

    • Interview Process
      1. Hiring Manager Interview
      2. CTO Intro Call
      3. Technical Interview
      4. Technical Interview
      5. Founder / CEO Interview

    • Location
      • Remote (US preferred)
      • Strong preference for Austin, TX (office planned)
      • Exceptional candidates in Europe will be considered

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility:

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.

MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

Back-End Engineer Related jobs

Other jobs at MLabs

We help you get seen. Not ignored.

We help you get seen faster — by the right people.

🚀

Auto-Apply

We apply for you — automatically and instantly.

Save time, skip forms, and stay on top of every opportunity. Because you can't get seen if you're not in the race.

✨

AI Match Feedback

Know your real match before you apply.

Get a detailed AI assessment of your profile against each job posting. Because getting seen starts with passing the filters.

Upgrade to Premium. Apply smarter and get noticed.

Upgrade to Premium

Join thousands of professionals who got noticed and hired faster.