Ingeniero/ingeniera De Presales/preventas Cloud Con Sólida Experiencia En Arquitecturas De Desarrollo, Integraciones Empresariales Y Tecnologías Modernas

Oracle Oracle · Enterprise · BOGOTA, DISTRITO CAPITAL, Colombia

This role is for a Cloud Presales Engineer with strong experience in development architectures, enterprise integrations, and modern technologies. The primary responsibility is to design, present, and position technological solutions that integrate microservices, iPaaS, streaming, no-code development, and AI agents to meet client business and technical needs. The role involves developing and executing Proofs of Concept (PoCs) and technical demonstrations using AI agent frameworks like CrewAI, LangChain, and LangGraph for enterprise use cases, and supporting the sales cycle from requirement gathering to closing.

What you'd actually do

  1. Understand the technical and business needs of clients to design solutions based on modern architectures, cloud integrations (Oracle Integration Cloud, Oracle APEX, API Management), and scalable development.
  2. Master and present microservices, containerization (Kubernetes, Docker), and orchestration technologies in native cloud environments.
  3. Develop and execute proof of concept (PoC), technical demonstrations, and value presentations demonstrating the use of AI agent frameworks (CrewAI, LangChain, LangGraph) in enterprise use cases.
  4. Accompany the sales team throughout the entire presales cycle: gathering technical requirements, designing the architectural proposal, validating through PoC, and supporting negotiation and closing.
  5. Translate business requirements into reference architectures, technological roadmaps, and multi-cloud integration strategies.

Skills

Required

  • 5+ years of experience in technical roles (Software Engineer, Solutions Architect, DevOps Engineer, Cloud Engineer) and at least 2 years in presales, technical consulting, or solution engineering functions.
  • Solid command of modern programming languages (Java, Python, Node.js, .NET/C#) with the ability to write clean, scalable code.
  • Demonstrated experience in designing and implementing microservices, distributed architectures, and cloud-native patterns.
  • Deep knowledge of container orchestration (Kubernetes) and automated deployment platforms (Docker, Podman).
  • Experience in streaming platforms and event-driven architecture (Apache Kafka, message queues, event processors).
  • Familiarity with iPaaS/no-code platforms (Oracle Integration Cloud, Oracle APEX, Zapier, Make, n8n) for enterprise system integration.
  • Practical knowledge in at least one of these AI agent frameworks: CrewAI, LangChain, LangGraph, or similar, with the ability to explain use cases in an enterprise context.
  • Experience in cloud environments (Oracle Cloud Infrastructure, AWS, Azure, or GCP) focusing on compute, networking, databases, and APIs.
  • Exceptional ability to communicate complex technical concepts clearly and convincingly to both technical and business audiences.
  • Competencies in negotiation, architectural thinking, technical leadership, and solution-based storytelling.

Nice to have

  • Certification in Oracle Cloud Infrastructure (OCI), Kubernetes (CKA), or equivalents from other cloud providers.
  • Experience with Oracle APEX, Oracle Integration Cloud, or Oracle enterprise integration platforms.
  • Knowledge of advanced DevOps practices, CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions), and production observability.
  • Experience with API-first integrations, API Management, and building enterprise API ecosystems.
  • Participation in open-source communities or publication of technical contributions on GitHub.
  • Previous experience in technical roles within sales or consulting.

What the JD emphasized

  • AI agents
  • CrewAI, LangChain, LangGraph

Other signals

  • design, present, and position technological solutions
  • integrate microservices, iPaaS platforms, streaming, no-code development, and AI agents
  • develop and execute proof of concepts (PoC), technical demonstrations, and value presentations
  • demonstrate the use of AI agent frameworks (CrewAI, LangChain, LangGraph) in enterprise use cases
  • translate business requirements into reference architectures, technological roadmaps, and multi-cloud integration strategies