Job Overview:
Experiencia, cualificaciones y habilidades interpersonales, ¿tiene todo lo necesario para triunfar en esta oportunidad? Descúbralo a continuación.
As an AI-Native Full Stack / Developer Experience Engineer, you will design and build next-generation developer experiences for the Global BaaS platform, including developer portals, SDKs, sandboxes, and AI-driven documentation and support. This growing team offers an exciting opportunity to develop your career within a professional Services organization.
Location: Madrid, Spain
Type of Employment- Permanent
Responsibilities
- Build and maintain API developer portals using Apigee Developer Portal, React, Next.js,
and TypeScript.
- Own sandbox and testing environments (Postman collections, contract tests) for external
partners and internal teams.
- Implement developer-facing features: SDK generation (multi-language), semantic API
discovery, usage analytics, and API monetization support (metering hooks).
- Automate documentation and changelog generation with LLM-assisted tools; own
versioning and validation of docs.
- Provide conversational developer support (ChatOps) via ChatGPT Enterprise-backed
agents, integrated into the portal and Slack.
- Implement front-end tools for SLA tracking, developer telemetry, and visualization of API
workflows.
- Collaborate with Platform (Global BaaS) for gateway integrations and Backend Leads for
sample apps and domain examples.
- Maintain CI/CD for DevEx services and ensure observability (Prometheus, Datadog).
Minimum Qualifications
- Experience with semantic search, vector stores, and conversational AI for developer support. - Familiarity with Camunda or Apache Camel for orchestrating developer tooling workflows. - Proficiency in English and Spanish (tested)
Preferred Qualifications/ Skills
- Strong proficiency in React, Next.js, TypeScript, and Node.js.
- Experience with Apigee Developer Portal and API SDK generation.
- Familiarity with OpenAPI 3.1, contract testing, and sandbox management.
- Experience integrating LLM-based documentation tooling and ChatOps assistants
Core Tech Stack
- Frontend: React, Next.js, TypeScript
- Backend: Node.js (NestJS/Express), Python (FastAPI) for tooling microservices
- API Management & Portal: Apigee Developer Portal
- Testing & Sandbox: Postman, Pact, JMeter, K6
- Observability: Prometheus, ELK, Datadog
- CI/CD & IaC: GitHub Actions, ArgoCD, Terraform
- AI Tools: ChatGPT Enterprise, GitHub Copilot, OpenAI/Azure AI for doc automation
- Security: OAuth 2.1, OIDC, mTLS where applicable
AI-Native & DX Practices
- Use LLM-based generation for docs, changelogs, SDKs, and example code; enforce review
gates. xqysrnh
- Provide semantic search (vector DB-backed) in the portal for API discovery.
- Offer a conversational assistant with governed LLMOps practices and audit logging