AI SDLC Lead Engineer (m/f/d)

T-Systems International; Granada; Híbrido; EUR 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work

Health insurance

Meal vouchers

Childcare support

Transport allowance

Telemedicine

Life insurance

Descripción de la vacante

T-Systems International in Granada seeks a senior software engineering leader to define and lead AI-assisted SDLC patterns across large codebases. You will guide OpenStack-derived services, APIs, and builds, shaping engineering evidence and artefacts for senior stakeholders.

The role requires 8+ years in engineering or architecture, strong Python and backend language skills, and hands-on experience with AI coding agents, CI/CD, Kubernetes.

Formación

• 8+ years in software engineering or architecture roles.
• Proficient in Python and at least one backend language (Go/Java/C/C++/Rust).
• Deep experience with AI coding agents and LLM-enabled SDLC workflows.
• Strong knowledge of OpenStack-derived cloud architectures and CI/CD.
• Able to lead engineers in ambiguous environments and translate evidence into decisions.
• Experience in high-accountability enterprise programs with auditability.

Responsabilidades

• Define and lead AI-assisted SDLC patterns across repos and docs.
• Analyze OpenStack-derived control planes, APIs, and dependencies.
• Operationalize AI development platforms and coding agents.
• Establish human-in-the-loop controls and evidence standards.
• Coach engineers on safe AI tool usage across teams.
• Produce senior stakeholder artefacts on risks and actions.

Conocimientos

Python

Go

Java

C

C++

Rust

AI coding agents

LLM SDLC workflows

OpenStack

CI/CD

Kubernetes

Herramientas

GitHub Enterprise

GitLab

Jenkins

ArgoCD

Helm

Docker

Kubernetes

Private package registries

Descripción del empleo

Company Description

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.

Job Description

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.

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!