Our client is a global technology company operating a data-intensive, AI-driven commerce platform. They build advanced systems for payments, fraud detection, onboarding, and operational automation. Their work spans large-scale data pipelines, ML-powered tools, and high-reliability infrastructure supporting fast-growing international markets.

Fully Remote | 9 AM - 5 PM EST

The Lead Staff Engineer will act as the senior technical leader responsible for backend architecture, AI/ML integrations, data infrastructure, and engineering standards. This role requires 7–8+ years of experience, ideally with exposure to fintech, large datasets, ETL pipelines, and DevOps. You will guide engineering direction, mentor junior team members, and design systems that power a data- and AI-driven global commerce platform.

Technical Leadership & Architecture

• Lead architecture for backend systems, data pipelines, and AI-powered tools.

  
  

• Make high-level decisions on infrastructure, scalability, and system design.

  
  

• Oversee engineering projects and mentor junior and mid-level engineers.

  
  

• Ensure code quality, system reliability, and best-practice engineering standards.

  
  

AI/ML & Data Engineering

• Architect pipelines for LLM models, fraud detection models, and predictive analytics.

  
  

• Work closely with data scientists and ML engineers to integrate models into production.

  
  

Fintech & Compliance-Driven System Development

• Work with payment systems, risk scoring, and data compliance workflows.

  
  

• Architect systems related to onboarding, KYC/KYB processes, and fraud detection.

  
  

DevOps Collaboration

• Contribute to CI/CD pipelines, infrastructure automation, and cloud reliability.

  
  

• Support monitoring, logging, and deployment best practices.

  
  

Experience

• 7–8+ years of engineering experience with progressively senior responsibilities.

  
  

• Strong background in Python, data engineering, and ML-powered systems.

  
  

• Experience with large datasets, ETL pipelines, and high-scale services.

  
  

• Ability to lead engineering planning, mentor team members, and drive architectural decisions.

  
  

Skills

• Fintech, payments, risk, or compliance system experience.

  
  

• Experience with DevOps (Docker, CI/CD, microservices).

  
  

• Prior technical leadership in small, high-velocity engineering teams.

  
  

• A scalable, well-architected system powering global data and AI workflows.

  
  

• Strong engineering culture and improved team velocity.

  
  

• Well-designed, reliable pipelines that support real-time analytics and automation.

  
  

This is a high-impact leadership role shaping the technical direction of a fast-scaling, data-intensive platform. You’ll own architecture decisions and drive the engineering function toward world-class reliability and innovation.

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