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Infrastructure​/Data Engineer

Job in New York City, Richmond County, New York, USA
Listing for: MLabs
Full Time position
Listed on 2026-07-12
Job specializations:
  • Software Development
Salary/Wage Range or Industry Benchmark: 180000 - 320000 USD Yearly USD 180000.00 320000.00 YEAR
Job Description & How to Apply Below

Infrastructure/Backend Engineer

Location:

New York, United States (Hybrid)

Hybrid | Full-time

Compensation: $180K - $320K

We are hiring on behalf of our client, a leading firm operating at the intersection of advanced financial markets and digital asset infrastructure who is seeking a skilled Infrastructure/Backend Engineer to join its growing technical team in New York City. Operating in a hybrid capacity with a heavy emphasis on collaborative, in-office presence, the employer provides a state-of-the-art trading and data ecosystem that processes tens of billions in cumulative volume.

In this pivotal role, the successful candidate will spearhead the modernization and scalability of a high-performance infrastructure layer. This individual will focus on migrating systems to a robust, ultra-low-latency infrastructure stack built entirely on Infrastructure as Code (IaC) principles. The primary objective is to build an advanced, reliable, and secure self-service infrastructure platform that empowers developers to manage deployments, monitoring, and provisioning independently.

This position requires an engineering mindset rooted in institutional financial systems, elite operational excellence, and high-velocity problem-solving.

Key Responsibilities
  • Infrastructure Migration & Optimization:
    Drive the comprehensive migration of applications and core services from legacy systems to a highly resilient, modern infrastructure stack.
  • Platform Self-Service & Orchestration:
    Mature and scale internal testing and validation tools, including local stack orchestration frameworks, allowing developers to execute applications flexibly and coordinate multiple automated agents simultaneously.
  • Latency Reduction:
    Collaborate closely with application engineering teams to optimize critical-path applications, identifying and resolving software and infrastructure bottlenecks to minimize latency and maximize financial edge.
  • Infrastructure as Code (IaC):
    Maintain, deploy, and manage 100% of the production environment utilizing IaC methodologies, ensuring absolute consistency, visibility, and automation across all layers.
  • Security & Reliability Engineering:
    Actively identify, mitigate, and minimize security attack vectors; coordinate contained chaos-engineering tests and system stress-tests using automated testing suites and advanced technical tools to guarantee maximum uptime.
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