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.

Requirements

Technical Foundations

• Trading Industry Pedigree: Strong professional background within traditional trading firms, market makers, proprietary trading shops, or institutional financial services.
• Orchestration & CI/CD: Expert-level proficiency with Kubernetes, including deployment best practices, cluster management, networking, and access control. Hands-on expertise with ArgoCD, GitHub Actions, and Docker is required.
• Infrastructure as Code: Proven experience as an IaC evangelist utilizing Terraform to manage complex multi-environment architectures.
• Backend Development: Strong proficiency in writing, optimizing, and maintaining backend systems and critical-path microservices using Golang.
• Data Architecture & Observability: Production experience managing high-throughput databases such as Postgres and Clickhouse. Comprehensive familiarity with Prometheus and Grafana for full-stack observability, alerting, and metrics collection.

Professional Characteristics

• Security-Minded: A proactive approach to zero-trust architecture, security configuration, and continuous system hardening.
• Advanced Tool Leverage: High proficiency in leveraging advanced AI and development tools effectively—possessing the technical depth to rigorously validate outputs, establish guardrails, and avoid passive code generation.
• Solution-Oriented & Autonomous: Ability to independently audit the existing stack, identify operational gaps, prioritize tasks based on commercial value, and execute solutions.
• Collaborative Rigor: Strong alignment with a "disagree and commit" philosophy; maintaining a team-first mindset that prioritizes collective execution and continuous cross-functional learning alongside quantitative researchers and operations teams.

Location & Availability

• Must be located within commuting distance of New York, NY , and prepared to work onsite in a hybrid structure that includes up to 5 days a week in the office based on business requirements.

Benefits

• Competitive Base Compensation: Highly attractive base salary ranging from $180,000 to $320,000 , commensurate with experience.
• Long-Term Incentives: Comprehensive equity ownership packages and token allocation structures.
• Cutting-Edge Tech Stack: Access to premier infrastructure, hardware, and modern automated tooling.
• Comprehensive Health & Wellness: Premium medical, dental, and vision insurance coverage options.
• Professional Growth: Direct exposure to institutional-grade trading platforms and collaborative environments alongside industry-leading technical and quantitative professionals.

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 ***email_hidden***.

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 View email address on workus.org.