Ai Swe / Agentic Sdlc Workflow Engineer (M/F/D)

Deutsche Telekom; Granada; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

Deutsche Telekom in Granada, España, busca un profesional para diseñar y entregar flujos de trabajo asistidos por IA que automaticen actividades del SDLC, analizando repositorios, escaneando código y descubriendo la arquitectura.

Serás responsable de empaquetar prompts, herramientas y pasos de gobernanza en aceleradores repetibles, integrarlos con plataformas Git, CI/CD y herramientas de documentación, y entregar salidas auditable con trazabilidad completa.

Responsabilidades

• Develop reusable AI-powered workflows for repository analysis and code scanning.
• Package prompts, tools, routing, evaluation checks, and approvals into accelerators.
• Integrate AI workflows with Git platforms, CI/CD, documentation stores, and issue trackers.
• Produce auditable outputs with traceable sources, reviewer checkpoints, and explicit assumptions.
• Experiment with open-source and other models in approved environments for SDLC automation.
• Translate ambiguous engineering questions into structured AI-assisted deliverables.

Descripción del empleo

Descripción del trabajo

Experteer Overview In this role you design and deliver AI-assisted workflows to automate SDLC activities, enabling repo analysis, code scanning, and architecture discovery. You will build repeatable accelerators by packaging prompts, tools, routing, and governance steps for reliable, auditable outputs. You will integrate AI workflows with Git platforms, CI/CD, docs stores, issue trackers, and test artifacts, supporting transparent traceability. You will experiment with diverse models in approved environments to evaluate suitability for automation and handover tasks, and help translate ambiguous questions into validated deliverables.

Compensaciones / Beneficios

• Develop reusable AI-powered workflows for repository analysis, code scanning, service decomposition, dependency discovery, build diagnosis, and documentation generation
• Package prompts, tools, retrieval layers, model routing, evaluation checks, retries, and human approval steps into repeatable engineering accelerators
• Integrate AI workflows with Git platforms, CI/CD, documentation stores, issue trackers, test outputs, service catalogs, and architecture evidence repositories
• Produce auditable workflow outputs with traceable sources, confidence indicators, reviewer checkpoints, and explicit assumptions
• Experiment with open-source, open-weight, and Chinese coding models in approved environments to compare usefulness for SDLC automation and handover tasks
• Support work-package leads by translating ambiguous engineering questions into structured AI-assisted workflows and validated deliverables

Responsabilidades • Requisitos principales •