• Diseñar, desarrollar e integrar aplicaciones web y soluciones asistidas por modelos de lenguaje. • Colaborar con equipos multidisciplinarios para entregar software confiable, escalable y centrado en el usuario.

Role Description As a Senior Backend Software Engineer, you will design, build, and maintain distributed services that power Ahoy’s movement and logistics platform. You will work primarily in C#/.NET 5+ on Azure, leveraging event‑driven patterns, high‑performance SQL, and modern architectural approaches (Clean / Onion) to deliver reliable, scalable services. You’ll collaborate closely with product, DevOps, and front‑end engineers, but also have the autonomy to drive solutions end‑to‑end—from white‑boarding architecture to shipping code and monitoring it in production. Key Responsibilities - Design, implement, and maintain microservices and APIs with ASP.NET Core and Entity Framework Core - Model robust relational schemas and write high‑performance queries for SQL Server - Build and integrate messaging & event systems (e.g., Azure Service Bus, RabbitMQ, Kafka) to enable decoupled, event‑driven workflows - Apply Clean Architecture / Onion Architecture principles to keep codebases modular, testable, and maintainable - Own the full software‑delivery lifecycle: automated testing, CI/CD pipelines, containerization, logging, and telemetry on Azure - Conduct peer code‑reviews, mentor and guide junior as well as mid‑level developers, and uphold engineering best practices (SOLID, TDD, DDD) - Diagnose production issues, optimize performance, and drive continuous improvement of service reliability and scalability Core Tech Stack & Tooling - Languages & Frameworks: C#, .NET 5 – 8, ASP.NET Core, EF Core - Cloud: Microsoft Azure (App Service, Function Apps, Container Apps, Event Grid, Azure SQL, Azure DevOps) - Data & Messaging: SQL Server, PostgreSQL (optional), Azure Service Bus / RabbitMQ / Kafka, Redis - DevOps: Docker, Azure DevOps CI/CD pipelines, Git - Observability: Application Insights, OpenTelemetry Qualifications - 6+ years of professional backend experience with .NET 5+ and C# - Deep knowledge of ASP.NET Core, RESTful API design, and Entity Framework Core - Proven expertise with SQL databases (schema design, query optimisation, indexing)—preferably SQL Server - Hands‑on experience with messaging or event‑driven architectures in production - Solid grasp of Clean / Onion Architecture, SOLID principles, and automated unit/integration testing - Practical experience building and maintaining CI/CD pipelines (Azure DevOps, GitHub Actions, GitLab, etc.) - Excellent communication skills and a track record of mentoring or technical leadership within a team - Clear written & spoken English, proactive communication, ownership mindset Nice‑to‑Have Skills - AWS ecosystem familiarity (ECS/EKS, Lambda, SQS/SNS, etc.) - Previous logistics/mobility domain experience - Experience with MongoDB or other NoSQL data stores - Conversational Arabic speaker - Scripting or tooling in Python - Front‑end exposure with Angular - DevOps/SRE expertise: Docker, Kubernetes, Terraform, Helm, Pulumi, Observability stacks - Familiarity with CQRS, Event Sourcing, Domain‑Driven Design, or high‑throughput real‑time systems

• Unirte a nuestro equipo como Frontend React con experiencia con Backend. • Colaborar con uno de nuestros principales clientes, cliente automóvil muy conocido. • Desarrollar aplicaciones utilizando React y integrar con Backend en Node.js, Python o Kotlin. • Implementar pruebas automatizadas y asegurar calidad en el desarrollo. • Optimizar el rendimiento y configurar monitoreo de logs.

• Responsible for architecture, solution design, development, deployment, monitoring, and maintenance of a subset of 300+ RESTful microservices • Manage a team of ~5 developers, including 1:1s, performance reviews, monitoring, and improvement • Actively contribute code and complete tasks personally, not just delegate work • Conduct code reviews, enforce coding/architecture best practices, and provide actionable feedback • Mentor team members, support their development, conduct developer interviews, and set an example in using AI coding assistants to improve quality and efficiency.