• Design and deliver resilient backend systems and cloud infrastructure • Develop robust APIs and automate infrastructure • Orchestrate containerized workloads • Implement reliable real-time and batch data pipelines • Contribute to backend services developed with Python and FastAPI • Support infrastructure automation using Terraform and Kubernetes (AKS)

• Diseñar, desarrollar y mantener servicios backend y APIs escalables utilizando tecnologías Java y Spring Boot. • Participar en definiciones de arquitectura y diseño técnico de aplicaciones empresariales. • Construir y optimizar arquitecturas basadas en microservicios y sistemas distribuidos. • Desarrollar aplicaciones seguras, resilientes y de alta disponibilidad. • Colaborar con equipos de producto, QA, DevOps y negocio. • Realizar code reviews y promover buenas prácticas de desarrollo. • Analizar y resolver problemas complejos en producción. • Participar en iniciativas de mejora continua relacionadas con performance, seguridad y escalabilidad. • Trabajar sobre entornos cloud-native y aplicaciones containerizadas.

• Diseñar, desarrollar y mantener aplicaciones enterprise utilizando .NET y Azure. • Construir y optimizar APIs REST y microservicios escalables. • Participar en definiciones de arquitectura y decisiones técnicas. • Trabajar junto a equipos de producto, QA y DevOps asegurando entregas de calidad. • Implementar mejoras de performance, seguridad y escalabilidad. • Colaborar en iniciativas de automatización y CI/CD. • Realizar code reviews y promover buenas prácticas de desarrollo. • Resolver incidentes complejos y dar soporte a ambientes productivos.

• Assess and evolve Zipline's engineering practices: evaluate CI/CD pipelines, test coverage, and developer workflows to surface the highest-impact opportunities, establish DORA baselines, and co-develop a prioritized QE roadmap with engineering leads. • Strengthen CI/CD quality gates, including linting, security scanning (SAST/SCA), and test coverage checks, expanding coverage across pipelines while keeping builds fast and teams unblocked. • Build visibility into engineering health with quality dashboards that surface test coverage, failure rates, and deployment trends, paired with enhanced monitoring and alerting that helps teams catch issues before customers do. • Explore and embed AI-powered tooling across the engineering workflow, from intelligent test generation and AI-assisted code review to LLM-powered anomaly detection, making quality faster and smarter. • Streamline local development: faster environments, smoother onboarding, and automation that eliminates toil and keeps engineers moving. • Manage and optimize containerized infrastructure on Kubernetes and AWS using Terraform, improving reliability and reducing manual operational burden. • Partner with teams across engineering to embed good quality practices through influence and enablement. • Evolve the platform over time toward more structured tooling: policy-as-code for architectural standards, API contract testing, spec validation, and lightweight self-service patterns, paced by what the team and the tooling have earned the right to build. • Participate in on-call rotations and support critical platform and infrastructure issues.