Lead Staff Engineer
5 days ago
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.
LocationFully Remote | 9 AM - 5 PM EST
Role OverviewThe 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.
Key ResponsibilitiesTechnical 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.
Application Process:To be considered for this role these steps need to be followed:Fill in the application form
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