Lead Staff Engineer

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 ESTRole 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 & ArchitectureLead 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 EngineeringArchitect 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 DevelopmentWork with payment systems, risk scoring, and data compliance workflows.Architect systems related to onboarding, KYC/KYB processes, and fraud detection.DevOps CollaborationContribute to CI/CD pipelines, infrastructure automation, and cloud reliability.Support monitoring, logging, and deployment best practices.QualificationsExperience7–8+ 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.SkillsFintech, payments, risk, or compliance system experience.Experience with DevOps (Docker, CI/CD, microservices).Prior technical leadership in small, high-velocity engineering teams.What Success Looks LikeA 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.OpportunityThis 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 ProcessTo be considered for this role these steps need to be followed:Fill in the application formRecord a video showcasing your skill sets