Senior Backend Engineer

How You'll Have Impact

• Architect Core Services:
  Design and evolve high-performance backend services using Java and Spring (Boot, Security, Batch) within a hexagonal architecture.
• Drive Platform Evolution:
  Contribute to architectural decisions around scalability, multi-tenancy, observability, and distributed communication (REST, queues, gRPC, batch, integrations).
• Build AI-Ready Systems:
  Design services and data models that enable AI-driven workflows, automation, and intelligent decision layers.
• Own the Lifecycle:
  From domain modeling and API design to deployment, monitoring, and production performance optimization.
• Collaborate Cross-Functionally:
  Work closely with product, frontend engineers (Angular/Type Script), and Dev Ops to deliver production-ready features continuously.

• Design and implement scalable backend services using Java, Spring Boot, Spring Security, Spring Batch, Hibernate.
• Architect RESTful APIs and event-driven integrations with partners (REST, SOAP, gRPC, messaging systems).
• Optimize relational data models (SQL Server, Postgre
  
  SQL) for performance and maintainability.
• Deploy and operate services in Dockerized environments on AWS, ensuring resilience and observability (ELK, monitoring tools).
• Implement secure, high-performance, multi-tenant solutions.
• Participate in code reviews, technical discussions, and architectural design sessions.
• Use AI-assisted development tools (Copilot, Cursor, LLM-based workflows) to increase productivity and share best practices with the team.
• Take full responsibility for your code: you build it, you manage it.

• 5+ years of experience building production-grade backend systems.
• Deep expertise in Java and Spring Boot.
• Strong experience with relational databases and performance tuning.
• Proven experience designing RESTful APIs and distributed systems.
• Solid understanding of cloud-native architectures and containerized workloads.
• Experience working in high-availability, high-throughput environments.
• Strong ownership mindset: you care about reliability, performance, and maintainability.
• Comfortable participating in architectural discussions and challenging decisions.
• Professional Spanish and English level.

• Experience with Kubernetes and advanced CI/CD pipelines.
• Test-Driven Development (JUnit, Mockito).
• Experience integrating AI-driven workflows or designing systems that enable ML/AI consumption.
• Familiarity with frontend frameworks (Angular, React).
• Experience with observability platforms and performance monitoring.
• Exposure to Domain-Driven Design (DDD) and event-driven architectures.

• High-impact role with real architectural ownership.
• Opportunity to evolve a mature cloud platform toward AI-native capabilities.
• Collaborative, product-focused engineering culture.
• Continuous learning and technical growth.
• International and cross-functional environment.