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Sr Backend Engineer

Spain, Valencia · Job Posted December 10, 2025
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Job Description

We're seeking a Senior Backend Engineer to join our core engineering team and play a pivotal role in building and scaling our AI-driven Knowledge Processing Unit (KPU). You'll work on cutting-edge distributed systems that power enterprise AI applications, contributing to a platform that enables reliable AI agents with deterministic outcomes.

Job Responsibility

  • Develop and maintain scalable APIs and backend services using Go (primary) or Python
  • Build and optimize event-driven architectures handling real-time data processing
  • Work with Apache Kafka as our communication backbone between microservices
  • Design and optimize database queries across MySQL or Postgres
  • Ensure scalability, performance, and security of backend services in containerized environments
  • Contribute to our Docker containerized and Kubernetes orchestrated microservices ecosystem
  • Implement GRPC, HTTP, and WebSocket communication protocols
  • Build resilient systems with proper error handling and monitoring
  • Collaborate with AI teams to integrate LLM capabilities and AI reasoning engines
  • Work with CI/CD pipelines and Git version control
  • Implement monitoring and logging using tools like Prometheus, Grafana, and Sentry
  • Optimize performance for high-concurrency environments
  • Ensure proper resource management and auto-scaling

Requirements

  • 5+ years of backend development experience
  • Strong experience with Go (preferred) or Python (and willingness to learn Go)
  • Experience with event-driven architectures and message brokers (Kafka, RabbitMQ, EventBridge)
  • Solid understanding of RESTful APIs and GraphQL
  • Experience with MySQL or Postgres databases and data consistency patterns
  • Knowledge of Docker and Kubernetes for container orchestration
  • Experience with microservices architecture and distributed systems
  • Proficiency in CI/CD pipelines and Git

Nice to have

  • Experience with AWS services (EventBridge, S3, DocumentDB)
  • Knowledge of Python for AI/ML integrations
  • Experience with GRPC and WebSocket protocols
  • Familiarity with monitoring tools (Prometheus, Grafana, Sentry)
  • Understanding of AI/ML concepts and enterprise software patterns
  • Experience with Redis for caching and temporary storage

What we offer

  • Opportunity to shape the future of accountable enterprise AI agents
  • Competitive compensation package
  • Flat organization focused on impact rather than hierarchy
  • Work with cutting-edge computational AI technology
  • Dynamic, experienced team of technical experts
  • Continuous learning in the rapidly evolving field of Agentic AI

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