Backend Engineer Mid

Solicitud De Empleo Para Backend Engineer Miden Encora

Santa Fe Capital

A distancia

ARS 136.732.000 - 197.502.000

Jornada completa

Hace 2 días
Sé de los primeros/as/es en solicitar esta vacante
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Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Laptop provided as standard equipment
Remote work Across LATAM
Generous PTO

Descripción de la vacante

Encora is seeking a Senior Backend Engineer to join our remote team and help design, build, and maintain scalable backend services using Java and Python. You will own distributed systems, APIs, data pipelines, and AI-driven features, collaborating with product and engineering teams to deliver reliable, high-performance solutions.

Ideal candidates have 8+ years in software engineering, strong Java and Python experience, and hands-on AI/LLM development in production.

Formación

  • 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

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

Java
Python
Distributed systems
AI/LLM
Docker
Kubernetes
English

Herramientas

Databases
Message Queues
Data pipelines

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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