AI SDLC Lead Engineer (m/f/d)
T-Systems Iberia26 days ago
Valencia, SpainStaff+
Responsibilities
- Define and lead AI-assisted SDLC patterns for repository intake, code exploration, service mapping, build diagnosis, documentation, and engineering evidence generation.
- Analyze OpenStack-derived control-plane services, APIs, dependencies, integration flows, and build structures across 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 the safe and effective use of AI tools while coordinating with architecture, security, DevOps, and testing teams.
- Produce senior stakeholder-ready artefacts covering transition risks, service decomposition, codebase maturity, and recommended engineering actions.
Requirements
- At least 8 years of experience in software engineering, platform engineering, or technical architecture roles, with ownership of complex engineering workstreams.
- Strong hands-on Python coding skills 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.
- Strong understanding of OpenStack-derived cloud software architectures, modular service decomposition, CI/CD, Kubernetes-based delivery, and platform operations.
- Ability to lead senior engineers in ambiguous environments, challenge AI outputs, and convert incomplete evidence into structured engineering decisions.
- Experience working in high-accountability, confidentiality-sensitive enterprise programs where auditability, traceability, and sovereignty constraints are mandatory.
Benefits
- Hybrid remote/on-site work model with flexible working hours.
- International, dynamic, and collaborative work environment with social initiatives through T-Social.
- Customized training access through Coursera, weekly English and German language classes, international mentoring sessions, and Experience Days.
- Flexible compensation plan including health insurance, meal vouchers, childcare, and transport, plus telemedicine, life and accident insurance, and a social fund.
- 26+ working days of vacation per year and free access to specialist medical, legal, and wellness services.
- 100% salary coverage during medical leave.
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