Role Description As a backend architect, you will play a crucial role in designing and developing scalable data pipelines and microservices within a cloud-native environment. Your expertise in Python and Google Cloud Platform (GCP) will be instrumental in creating robust and efficient systems. The position involves working closely with a dynamic team to build and maintain secure API integrations, ensuring seamless connectivity between internal and external platforms. Qualifications - Expertise in Python - Experience with Google Cloud Platform (GCP) - Strong understanding of scalable data pipelines - Proficiency in microservices architecture - Ability to work collaboratively in a team environment Requirements - Experience in designing and developing cloud-native applications - Knowledge of API integration and security best practices - Strong problem-solving skills - Ability to work in a fast-paced environment Benefits - Inclusive workplace culture - Opportunities for personal and professional growth - Commitment to employee well-being

• Desarrollar servicios backend robustos utilizando Java y Spring Boot. • Diseñar, definir y evolucionar APIs REST bajo especificaciones OpenAPI. • Integrar sistemas legacy mediante DB2 utilizando JDBC. • Implementar mecanismos de resiliencia (timeouts, retries, circuit breakers) en sistemas distribuidos. • Definir y ejecutar pruebas de contrato (consumer/provider) para garantizar la estabilidad de integraciones. • Asegurar la calidad del software mediante testing automatizado e integración continua, colaborando con equipos de arquitectura y negocio. • Colaborar con equipos de arquitectura y negocio para garantizar consistencia en las integraciones.

• Maintain and evolve the Omnibus GitLab package to support reliable, production-ready self-managed deployments, improving deployment stability, increasing upgrade success rates, and reducing escalation rates. • Develop and improve GitLab Helm Charts so core components integrate cleanly and scale across supported environments, reducing deployment friction, shortening time to deploy, and improving operational consistency at scale. • Enhance the GitLab Environment Toolkit (Get), validated reference architectures, and the GitLab Operator for secure, Kubernetes-native lifecycle management, improving reliability, strengthening security baselines, and accelerating adoption in customer environments. • Improve installation, upgrade, and operational workflows across deployment methods to create a consistent experience for self-managed customers, reducing operational overhead, lowering failure rates, and increasing consistency across deployment methods. • Partner with Security to address vulnerabilities and deliver secure defaults and configurations in the deployment stack, reducing exposure to vulnerabilities and improving baseline security across self-managed deployments. • Build and maintain automation and continuous integration and continuous delivery pipelines that validate and test Omnibus, Charts, Get, and the Operator, increasing release confidence, improving test coverage, and reducing regressions across deployment tooling. • Work closely with Distribution Engineers, Site Reliability Engineers, Release Managers, and Development teams to integrate new features into deployment methods and keep them reliable, scalable, and aligned with customer needs, improving delivery readiness and reducing operational issues after release. • Guide architectural direction, mentor backend engineers, and contribute to the roadmap for self-managed delivery, improving technical quality, accelerating delivery effectiveness, and strengthening team execution.

• Arquitectar aplicaciones empresariales confiables y escalables • Desarrollar y mantener aplicaciones basadas en Java utilizando Spring Framework y Spring Boot • Analizar y resolver incidentes de producción, identificando causas raíz e implementando soluciones sostenibles • Monitorear el rendimiento, disponibilidad y salud operacional de las aplicaciones en entornos empresariales • Colaborar con equipos de desarrollo, infraestructura, operaciones y negocios para mantener la fiabilidad del servicio • Participar en revisiones de código, promoviendo mejores prácticas, compartiendo conocimientos y mejorando continuamente • Documentar hallazgos técnicos, procedimientos operacionales e iniciativas de mejora