• Own backend and data architecture across marketing data pipelines, connector systems, platform APIs, agent/tool runtimes, and downstream product surfaces, defining durable domain boundaries and data contracts between warehouse outputs, platform APIs, agent tools, and user-facing workflows. • Turn ambiguous platform needs into incremental technical plans that balance reliability, security, tenant isolation, developer experience, and long-term maintainability. • Lead the evolution of data pipelines following the medallion architecture, driving data quality, schema enforcement, lineage, and curated outputs for analytics and product use cases. • Harden ingestion from external marketing platforms and related APIs, including connector and reconciliation patterns. • Architect backend services across API paths and cloud infrastructure, shaping how platform capabilities are exposed through stable contracts, streaming workflows, and tool permissions. • Implement secure authentication, authorization, rate limiting, and multi-tenant access controls across services. • Write high-quality, production-ready code and integrate with external APIs, cloud services, and internal microservices. • Build and maintain deployment pipelines and infrastructure environments, implementing tracing, structured logging, metrics, and alerting to ensure reliability, latency, and operational standards. • Mentor engineers, contribute to internal libraries, backend frameworks, and drive consistency across the platform.

• Revisar el código existente (desarrollo muy reciente) • Analizarlo y desarrollar una aplicación que pueda ser puesta en producción ya que actualmente es sólo un prototipo. • Se trata de un cliente del sector aereo (100% remoto)

• Spearhead development of a greenfield product • Cross-functional collaboration • Mentor & lead by example • Set us up to maximize the pace of experimentation • Be a champion of Engineering Excellence

• Build and maintain the integrations that are core to our product, working across countries, providers, and complex payment rails in a fast-moving, global environment. • Actively use AI-assisted tools (e.g., Copilot, Claude, or similar) for coding, testing, debugging, and documentation. • Integrate AI into your daily workflow to improve speed, quality, and decision-making. • Build and evolve high-performance APIs and microservices in Go, designed for reliability, low latency, and scale. • Take end-to-end ownership of features and integrations — from discovery and design to production rollout and monitoring. • Develop and extend integration frameworks that support payment processing, fraud detection, and authentication flows (e.g., 3DS) across multiple regions. • Write clean, well-tested, production-ready code with a strong focus on quality, observability, and documentation. • Apply secure software development practices, including OWASP standards, data privacy, and compliance requirements. • Work closely with Product, Compliance, and Business teams to translate real payment problems into elegant technical solutions. • Deliver in an agile environment against a fast-moving roadmap, adapting to shifting priorities across markets and providers.