Senior Backend Engineer - LATAM - 100% Remote

Prometeo TalentQuito, Latam
Remote

About The Position

At Prometeo Talent, we connect top-tier tech and engineering professionals with companies that are shaping the future. With a strong presence across America and Europe, we’re proud to be one of the highest-rated recruitment agencies in the market. We're currently partnering with a fast-growing US-based cybersecurity startup. The company is building innovative security solutions that help organizations strengthen their cybersecurity posture through intelligent, scalable, and modern technology. As an early-stage startup, you'll have the opportunity to work on complex technical challenges, contribute to product evolution, and make a direct impact on the growth and success of the platform. 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.

Requirements

  • 8+ years of experience in software engineering or backend development.
  • Strong professional experience with Java and Python, building and maintaining production-grade backend systems.
  • 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.
  • Experience using AI-assisted development tools and the ability to review, validate, and improve AI-generated code.

Nice To Haves

  • 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.
  • Experience integrating LLMs, AI services, or AI-powered products.
  • Previous experience in large technology companies

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.

Benefits

  • 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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