Remote Senior Backend & AI Engineer for Secure Platforms

Fullstack; Santa Fe Capital; Remote; ARS 136,430,000 - 227,383,000; Full time

Benefits offered by this job

Remote work from LATAM

Company-provided equipment

Ownership in a fast-growing startup

Job summary

Prometeo Talent is partnering with a fast-growing US cybersecurity startup to place a Senior Backend Engineer. You will design and build scalable backend services using Java and Python, owning features end-to-end and ensuring reliability and performance.

Work in a distributed environment with Docker, Kubernetes, and AI/LLM-based tooling. The role emphasizes ownership, collaboration with product teams, and shaping the platform as the company scales.

Qualifications

• 8+ years in software engineering or backend development.
• 5+ years with Python, building production-grade backend systems.
• Strong experience with Java.
• Hands-on AI/LLM-based development in production environments.

Responsibilities

• Design, build, and maintain scalable backend services using Java and Python.
• Develop distributed systems involving databases, APIs, message queues, and data processing pipelines.
• Own features and services from design to monitoring and optimization.
• Build production-ready systems with reliability and performance focus.
• Collaborate with product and engineering teams to translate requirements into solutions.
• Improve system performance, scalability, and operational efficiency.
• Leverage AI-assisted development tools to accelerate delivery with quality practices.
• Participate in architectural discussions and contribute to key technical decisions.
• Continuously improve development processes, tooling, and standards.

Skills

Advanced English

Ownership mindset

Startup experience

Tools

Java

Python

Docker

Kubernetes

AI/LLM

Job description

Prometeo Talent is partnering with a fast-growing US cybersecurity startup to place a Senior Backend Engineer. You will design and build scalable backend services using Java and Python, owning features end-to-end and ensuring reliability and performance.

Work in a distributed environment with Docker, Kubernetes, and AI/LLM-based tooling. The role emphasizes ownership, collaboration with product teams, and shaping the platform as the company scales.