Назад
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5 дней назад

Senior Backend Engineer (AI)

60 000 - 100 000€
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Backend Engineer (AI): Building reliable backend services, APIs, integrations, automation, and AI Agent capabilities for technology asset and configuration management with an accent on scalable architecture, data integration, resilience, and intelligent automation. Focus on designing distributed services, developing practical AI solutions, operating cloud-native software, and mentoring engineers across a complex enterprise technology landscape.

Location: Madrid, Spain; hybrid setup

Base salary: EUR 60,000–100,000 per year, plus potential performance-based rewards and benefits.

Company

hirify.global provides reinsurance, insurance, and insurance-based risk transfer solutions, helping organizations manage risks such as natural catastrophes, climate change, and cybercrime.

What you will do

  • Design and develop reliable backend services, APIs, integrations, and automation.
  • Work across multiple languages, platforms, and technologies while selecting solutions based on business and engineering needs.
  • Strengthen engineering resilience, contingency capabilities, data integration, and transformation workloads.
  • Build practical AI Agent and intelligent automation capabilities from experimentation through implementation.
  • Develop and operate software using automated testing, CI/CD, containerization, observability, and cloud deployment.
  • Provide technical design input, mentor junior engineers, and contribute to reusable engineering standards and patterns.

Requirements

  • 6+ years of professional software engineering experience at Senior Engineer level.
  • Professional development experience with Python and Go, plus the ability to learn unfamiliar technologies.
  • Strong knowledge of SQL, relational databases, data models, queries, transformations, and data integration or ETL-style workloads.
  • Experience with Azure, AWS, or GCP and modern engineering practices including automated testing, CI/CD, source control, and production support.
  • Strong system and solution design, communication, problem-solving, and mentoring skills.
  • Interest in developing practical AI and intelligent automation capabilities.

Nice to have

  • Docker, Kubernetes, or similar container platforms.
  • Data pipelines, integrations, or large-scale data processing.
  • Monitoring and observability platforms such as Datadog, Grafana, or Prometheus.
  • Frontend or server-side JavaScript technologies such as Angular, React, or Node.
  • Generative AI, LLMs, AI Agents, MCP, RAG, embeddings, vector search, or automation implementation experience.

Culture & Benefits

  • Collaborative and curious engineering environment focused on continuous learning and strong technical standards.
  • Opportunity to contribute to technology resilience and informed decision-making across the organization.
  • Inclusive workplace with equal opportunities for professional development.
  • Potential performance-based bonus and additional employee benefits.

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