AI SDLC Lead Engineer (m/f/d)

Job Description

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 and LLM-enabled SDLC workflows for large codebases.

• Experience with AI coding agents for technical documentation.

• Experience with AI coding agents for engineering acceleration.

• Good understanding of OpenStack-derived cloud software architectures.

• Knowledge of modular service decomposition.

• Experience with CI/CD processes.

• Experience with Kubernetes-based delivery.

• Knowledge 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.

• Familiarity with AI development environments such as Cursor, Windsurf, Claude Code, Continue, Cline, or VS Code-based extensions.

• Knowledge of open-source, open-weight, or Chinese coding-capable models such as DeepSeek Coder, Qwen/Qwen-Coder, CodeGeeX, StarCoder, Code Llama, Mistral, or similar models.

• 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.

Additional Information

What do we offer you?

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.

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.