AI SDLC Lead Engineer (m/f/d)

T-Systems Iberia; Comunidad Valenciana; Presencial; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Language classes (English & German)

Coursera training access

Life and accident insurance

Social fund

26+ vacation days

Descripción de la vacante

T-Systems Iberia is seeking a senior AI/Software engineering leader to shape AI-assisted SDLC patterns and oversee OpenStack-derived service analysis across multiple teams.

You will guide adoption of AI platforms and coding agents for secure enterprise use, and establish human-in-the-loop controls, artefact-driven decisions, and governance across complex codebases. Proven leadership in confidential programs is valued.

Formación

• 8+ years in software engineering or platform architecture roles.
• Strong Python skills and backend or systems languages (Go, Java, C, C++, or Rust).
• Deep practical experience with AI coding agents and LLM-enabled SDLC workflows.
• Solid understanding of OpenStack-derived cloud software architectures and Kubernetes-based delivery.
• Able to lead senior engineers in ambiguous environments and drive actionable decisions.
• Experience in confidential enterprise programs with auditability and sovereignty constraints.

Responsabilidades

• Define and lead AI-assisted SDLC patterns across repositories and teams.
• Guide analysis of OpenStack-derived services, APIs, dependencies, integration flows, and build structures across repositories.
• Evaluate AI development platforms and coding agents for secure enterprise use cases.
• Establish human-in-the-loop controls, quality gates, prompt libraries, and evidence standards for AI outputs.
• Coach engineers on safe, effective use of AI tools while coordinating with architecture, security, DevOps, and testing teams.
• Produce senior stakeholder-ready artefacts including transition risks and recommended actions.

Conocimientos

Python

Go

Java

C

C++

Rust

OpenStack

Kubernetes

CI/CD

AI coding agents

Herramientas

GitHub Enterprise

GitLab

Jenkins

ArgoCD

Docker

Kubernetes

Helm

OpenStack

Descripción del empleo

T‑Systems is part of the Deutsche Telekom Group, with around 30.000 employees worldwide. We create technology with purpose to generate a positive impact on society. We are looking for curious talent, eager to learn, take on challenges, and contribute ideas that transform our customers’ experience.

We trust people: we offer autonomy, continuous support, and a collaborative environment where you can grow without limits. We are one global team, guided by respect, integrity, and a passion for doing better every day.

Key responsibilities

• Define and lead AI-assisted SDLC patterns for repository intake, code exploration, service mapping, build diagnosis, documentation, and engineering evidence generation.
• Guide analysis of OpenStack-derived control-plane services, APIs, dependencies, integration flows, and build structures across multiple repositories and teams.
• Evaluate and operationalize AI development platforms, coding agents, and approved open-weight or Chinese coding model stacks for secure enterprise use cases.
• Establish human-in-the-loop controls, quality gates, prompt libraries, reusable review patterns, and evidence standards for AI-generated engineering outputs.
• Coach software engineers and platform specialists on safe, effective use of AI tools while coordinating with architecture, security, DevOps, and testing teams.
• Produce senior stakeholder-ready artefacts including transition risks, service decomposition views, codebase maturity observations, and recommended engineering actions.

Examples of market tools, models, and SDLC platforms expected

• AI development environments such as Cursor, Windsurf, Claude Code, Continue, Cline, or VS Code-based extensions connected to enterprise-approved model endpoints.
• Open-source, open-weight, or Chinese coding-capable models such as DeepSeek Coder, Qwen/Qwen-Coder, CodeGeeX, StarCoder, Code Llama, Mistral, or similar models operated through approved controls.
• Agentic and SDLC workflow components such as LangGraph, OpenAI Agents SDK, AutoGen, LlamaIndex, RAG pipelines, evaluation loops, and structured tool-calling patterns.
• Engineering environments including GitHub Enterprise, GitLab, Jenkins, ArgoCD, Helm, Docker, Kubernetes, private package registries, and terminal-native automation workflows.

Qualifications

• 8+ years in software engineering, platform engineering, or technical architecture roles, with proven ownership of complex engineering workstreams.
• Strong hands-on coding skills in Python plus at least one backend or systems language such as Go, Java, C, C++, or Rust.
• Deep practical experience using AI coding agents and LLM-enabled SDLC workflows for large codebases, technical documentation, and engineering acceleration.
• Good understanding of OpenStack-derived cloud software architectures, modular service decomposition, CI/CD, Kubernetes-based delivery, and platform operations.
• Able to lead senior engineers in ambiguous environments, challenge AI outputs, and convert incomplete evidence into structured, actionable engineering decisions.
• Comfortable working in high-accountability, confidentiality-sensitive enterprise programs where auditability, traceability, and sovereignty constraints are mandatory.

What do we offer you?

Work environment & flexibility

• International, dynamic and collaborative environment.
• T-Social: social initiatives (sports, community, health, ...).
• Customized training: access to Coursera to learn whatever you want, whenever you want.
• Weekly language classes (English & German).
• International Mentoring Sessions & Experience Days.
• Life and accident insurance.
• Social fund.

Wellbeing & time off

• 26+ working days of vacation per year.
• Free access to specialist services (medical, legal, wellness).
• 100% salary coverage during medical leave.

And many more advantages of being part of T-Systems!

If you are looking for a new challenge, do not hesitate to send us your CV! Please send CV in English. Join our team!

T-Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer.