Job ID: 744000153445190

AI SDLC Lead Engineer (m/f/d)

A Coruña, Bilbao, Gijón, Granada, Madrid, Reus, Seville, Valencia

Professional

Regular

T-Systems Iberia

Your Task

This role focuses on defining and leading AI-assisted software development lifecycle patterns for enterprise engineering teams working with complex control-plane services and OpenStack-derived architectures.

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

- Work with AI development environments such as Cursor, Windsurf, Claude Code, Continue, Cline, or VS Code-based extensions connected to enterprise-approved model endpoints
- Utilize 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
- Implement agentic and SDLC workflow components such as LangGraph, OpenAI Agents SDK, AutoGen, LlamaIndex, RAG pipelines, evaluation loops, and structured tool-calling patterns
- Operate within engineering environments including GitHub Enterprise, GitLab, Jenkins, ArgoCD, Helm, Docker, Kubernetes, private package registries, and terminal-native automation workflows

Your Profile

We are seeking a highly experienced AI-Assisted Engineering Lead with deep expertise in software engineering, AI coding tools, and platform architecture. The ideal candidate will have extensive hands-on experience with AI development platforms,



coding agents, and LLM-enabled workflows, combined with strong technical skills in multiple programming languages and cloud architectures.

Must Have Skills

- 8+ years in software engineering, platform engineering, or technical architecture roles
- Proven ownership of complex engineering workstreams
- Strong hands-on coding skills in Python
- Proficiency in at least one backend or systems language such as Go, Java, C, C++, or Rust
- Deep practical experience using AI coding agents for large codebases
- Deep practical experience with LLM-enabled SDLC workflows for technical documentation and engineering acceleration
- Experience with AI development environments such as Cursor, Windsurf, Claude Code, Continue, Cline, or VS Code-based extensions connected to enterprise-approved model endpoints
- Experience with 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
- Experience with agentic and SDLC workflow components such as LangGraph, OpenAI Agents SDK, AutoGen, LlamaIndex, RAG pipelines, evaluation loops, and structured tool-calling patterns
- Experience with engineering environments including GitHub Enterprise, GitLab, Jenkins, ArgoCD, Helm, Docker, Kubernetes, private package registries, and terminal-native automation workflows
- Good understanding of OpenStack-derived cloud software architectures
- Good understanding of modular service decomposition
- Good understanding of CI/CD processes
- Good understanding of Kubernetes-based delivery
- Good understanding of platform operations
- Ability to lead senior engineers in ambiguous environments
- Ability to challenge AI outputs
- Ability to convert incomplete evidence into structured, actionable engineering decisions
- Comfortable working in high-accountability, confidentiality-sensitive enterprise programs
- Experience working with auditability, traceability, and sovereignty constraints

About Us





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 general team, guided by respect, integrity, and a passion for doing better every day.

Benefits

Work environment & flexibility

- International, dynamic and collaborative environment
- T-Social: social initiatives (sports, community, health, ...)
- Hybrid work model (remote/on-site)
- Flexible working hours

Growth & development

- Customized training: access to Coursera to learn whatever you want, whenever you want
- Weekly language classes (English & German)
- International Mentoring Sessions & Experience Days

Compensation & benefits

- Flexible compensation plan (health insurance, meal vouchers, childcare, transport)
- Telemedicine
- 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

Application Information

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

Company Policies

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

Job Benefits

Work-Life Balance

- Hybrid work model (remote/on-site)
- Flexible working hours
- 26+ working days of vacation per year

Health & Insurance

- Health insurance (flexible compensation plan)
- Telemedicine
- Life and accident insurance
- 100% salary coverage during medical leave

Professional Development

- Customized training: access to Coursera to learn whatever you want, whenever you want
- Weekly language classes (English & German)
- International Mentoring Sessions & Experience Days

Office Perks

- Meal vouchers (flexible compensation plan)
- Childcare (flexible compensation plan)
- Transport (flexible compensation plan)

Lifestyle & Wellness

- T-Social: social initiatives (sports, community, health, ...)
- Free access to specialist services (medical, legal, wellness)
- Social fund

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