Remote Lead Staff Engineer: Backend, AI/ML & Data Systems

Scale Army Careers; Remote; ZAR 300 000 - 400 000; Full time

Job summary

A leading technology firm is seeking a skilled Lead Staff Engineer to oversee backend architecture and AI/ML integrations. This fully remote role demands 7-8+ years of technical experience, preferably in fintech and data infrastructure. The position involves mentoring team members, designing scalable systems, and ensuring high engineering standards. Applicants should possess expertise in Python and strong proficiency in data engineering. If you are passionate about driving architecture decisions in a fast-scaling environment, this opportunity is for you.

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.

Responsibilities

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

Skills

Fintech

Payments

Risk scoring

Compliance system experience

DevOps

Python

Data engineering

ML-powered systems

Tools

Docker

CI/CD

Microservices

Job description

A leading technology firm is seeking a skilled Lead Staff Engineer to oversee backend architecture and AI/ML integrations. This fully remote role demands 7-8+ years of technical experience, preferably in fintech and data infrastructure. The position involves mentoring team members, designing scalable systems, and ensuring high engineering standards. Applicants should possess expertise in Python and strong proficiency in data engineering. If you are passionate about driving architecture decisions in a fast-scaling environment, this opportunity is for you.