Lead Staff Engineer

Scale Army

Role Overview

• 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.

Qualifications

• 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.

What Success Looks Like

• 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.

Opportunity 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.