Senior Fintech Platform Backend Engineer (Remote)

Felix

La Pampa

A distancia

ARS 136.732.000 - 197.502.000

Jornada completa

Hace 2 días
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Ventajas ofrecidas por este puesto de trabajo

Remote work
LATAM-friendly
Laptop provided
Generous PTO
High ownership

Descripción de la vacante

Felix is seeking a Senior Backend Engineer to join a startup-focused team building scalable systems from the ground up. You will own backend services, design distributed architectures, and collaborate with a highly technical crew to deliver robust solutions.

The ideal candidate has 8+ years in software, strong Python and Java experience, and hands-on AI/LLM-based development. This role offers 100% remote work from LATAM with strong ownership and growth opportunities.

Formación

  • 8+ years of experience in software engineering or backend development.
  • 5+ years with Python, building production-grade backend systems.
  • Strong experience with Java.
  • Hands-on experience with AI/LLM-based development (AI agents, agentic systems, or LLM-powered applications).
  • Experience building AI-driven features, LLM integrations, or agentic workflows in production environments.
  • Solid understanding of distributed systems, scalable architectures, and asynchronous processing.
  • Experience with databases, message queues, and data processing pipelines.
  • Hands-on experience with Docker and Kubernetes in production environments.
  • Proven experience building, maintaining, optimizing, and improving products after launch.
  • Strong ownership mindset, autonomy, and ability to thrive in startup or fast-paced environments.
  • Advanced English level

Responsabilidades

  • Design, build, and maintain scalable backend services using Java and Python.
  • Develop distributed systems involving databases, APIs, message queues, and data processing pipelines.
  • Take full ownership of features and services throughout their lifecycle, from design and implementation to monitoring and optimization.
  • Build production-ready systems with a strong focus on reliability, performance, and maintainability.
  • Collaborate closely with product and engineering teams to translate business requirements into technical solutions.
  • Improve system performance, scalability, and operational efficiency across the platform.
  • Leverage AI-assisted development tools to accelerate delivery while ensuring code quality and engineering best practices.
  • Participate in architectural discussions and contribute to key technical decisions as the company scales.
  • Continuously improve development processes, tooling, and engineering standards.

Conocimientos

Python
Java
AI/LLM
Distributed systems
Databases
Message queues
Ownership
English

Herramientas

Docker
Kubernetes

Descripción del empleo

The Opportunity

We are looking for a Senior Backend Engineer who thrives in startup environments and enjoys building scalable systems from the ground up.

This role is ideal for engineers who combine deep backend expertise with a strong ownership mindset. You will play a key role in designing, building, and maintaining distributed systems while collaborating with a highly technical and fast-moving team.

The ideal candidate has extensive experience with Java and Python , enjoys solving complex engineering problems, and embraces AI-assisted development workflows to increase productivity without compromising quality.

Responsibilities
  • Design, build, and maintain scalable backend services using Java and Python.

  • Develop distributed systems involving databases, APIs, message queues, and data processing pipelines.

  • Take full ownership of features and services throughout their lifecycle, from design and implementation to monitoring and optimization.

  • Build production-ready systems with a strong focus on reliability, performance, and maintainability.

  • Collaborate closely with product and engineering teams to translate business requirements into technical solutions.

  • Improve system performance, scalability, and operational efficiency across the platform.

  • Leverage AI-assisted development tools to accelerate delivery while ensuring code quality and engineering best practices.

  • Participate in architectural discussions and contribute to key technical decisions as the company scales.

  • Continuously improve development processes, tooling, and engineering standards.

Requirements
  • 8+ years of experience in software engineering or backend development.

  • 5+ professional experience with Python , building and maintaining production-grade backend systems.

  • Strong experience with Java .

  • Hands-on experience with AI/LLM-based application development (AI agents, agentic systems, or LLM-powered applications)

  • Experience building AI-driven features, LLM integrations, or agentic workflows in production environments is highly preferred.

  • Solid understanding of distributed systems, scalable architectures, and asynchronous processing.

  • Experience working with databases, message queues, and data processing pipelines .

  • Hands-on experience with Docker and Kubernetes in production environments.

  • Proven experience building, maintaining, optimizing, and improving products after launch.

  • Strong ownership mindset, autonomy, and ability to thrive in startup or fast-paced environments .

  • Advanced English level

Nice to have
  • Experience working in product-focused companies, owning products beyond the initial development phase.

  • Experience in cybersecurity products or security-focused platforms.

  • Experience with Kafka, RabbitMQ, or similar messaging systems.

  • Experience building large-scale distributed data processing systems.

  • Background in high-growth startups or scale-ups.

  • Previous experience in large technology companies

What’s in it for You

100% remote work with flexibility to work from LATAM.

Join an early-stage cybersecurity startup where your work will directly impact the product and company growth.

Be part of an engineering culture that embraces modern AI-assisted development workflows.

Company-provided laptop and equipment.

Generous PTO and regional holidays.

High ownership, autonomy, and direct influence on technical decisions.

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