We are building the next generation of cloud-native software for the hospitality industry. Our platform powers complex, multi-tenant environments across multiple companies and product lines, serving high-demand operational workflows at scale.
We operate in a high-availability, high-performance context where reliability and scalability are non-negotiable. Now, we are evolving the platform toward AI-native capabilities, integrating intelligent automation, AI-assisted workflows, and data-driven decision layers directly into our core services.
We are a product-driven, engineering-first organization. We value architectural thinking, ownership, continuous delivery, and pragmatic innovation.
If you enjoy designing resilient distributed systems and want to help evolve a mature platform into an AI-native ecosystem, you’ll feel at home here.
We are building the next generation of cloud-native software for the hospitality industry. Our platform powers complex, multi-tenant environments across multiple companies and product lines, serving high-demand operational workflows at scale.
We operate in a high-availability, high-performance context where reliability and scalability are non-negotiable. Now, we are evolving the platform toward AI-native capabilities, integrating intelligent automation, AI-assisted workflows, and data-driven decision layers directly into our core services.
We are a product-driven, engineering-first organization. We value architectural thinking, ownership, continuous delivery, and pragmatic innovation.
If you enjoy designing resilient distributed systems and want to help evolve a mature platform into an AI-native ecosystem, you’ll feel at home here.
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/TypeScript), and DevOps to deliver production-ready features continuously.
What You’ll Do
•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, PostgreSQL) 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.
What You Bring
•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.
Nice-to-Have Superpowers
•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.
