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About the Role

As an AI SWE / OpenStack Service Engineer, you will support the technical due diligence and transition readiness of OpenStack-derived cloud services. You will analyze modular cloud software at the service level, reconstruct service boundaries and dependencies, and create a reliable basis for the technical handover to receiving teams. Your focus will be on analyzing control-plane components, API interfaces, integration dependencies, configuration models, and runtime requirements. Using AI-assisted software engineering methods, you will accelerate navigation through large codebases, reconstruct call flows, analyze interfaces, and create high-quality technical documentation. You will also support the diagnosis of build and test issues, including dependency resolution, container builds, runtime configuration, and reproducibility challenges. You will transform your findings into structured handover artifacts and collaborate with experts to validate AI-assisted findings and translate them into engineering backlog items.

Responsibilities

Analyze modular cloud software at service level
Reconstruct service boundaries and dependencies
Create a reliable basis for technical handover
Analyze control-plane components, API interfaces, integration dependencies, configuration models, and runtime requirements
Use AI-assisted software engineering methods to accelerate navigation through large codebases
Reconstruct call flows
Analyze interfaces
Create high-quality technical documentation
Support the diagnosis of build and test issues
Resolve dependencies
Address container build issues
Handle runtime configuration challenges
Solve reproducibility challenges
Transform findings into structured handover artifacts
Collaborate with experts from DevOps, testing, security, and architecture
Validate AI-assisted findings
Translate findings into concrete engineering backlog items
Identify technical debt, maintainability risks, hidden coupling, and missing documentation
Distinguish AI-generated suggestions from evidence-based technical findings
Document all results in a traceable manner

Requirements

At least five years of professional experience in software engineering, cloud platform engineering, DevOps-oriented development, or technical software handover roles
Very good knowledge of Python
Experience with at least one additional backend or systems programming language (e.g., Go, Java, C, C++, or Rust)
Sound practical experience with OpenStack-derived architectures, cloud control planes, distributed services, and API interfaces
Experience using AI-assisted development tools for codebase exploration, technical documentation generation, refactoring support, or build issue analysis
Good knowledge of CI/CD, container technologies, and Linux-based development and runtime environments
Experience working with Git and large multi-repository environments
Understanding of service dependencies, configuration models, database usage, and operational runtime requirements
Strong analytical skills, particularly the ability to distinguish between AI-generated suggestions and evidence-based technical findings
Ability to produce concise, structured, and traceable technical outputs for engineering stakeholders
Willingness to collaborate with DevOps, testing, security, and architecture teams in a confidential enterprise environment

Skills

Python
Go
Java
C
C++
Rust
OpenStack
Cloud control planes
Distributed services
API interfaces
AI-assisted development tools
CI/CD
Container technologies
Linux
Git
Service dependencies
Configuration models
Database usage
Operational runtime requirements
Analytical skills
Technical documentation
OpenStack components (Nova, Neutron, Cinder, Keystone, Glance, Horizon, Heat, Placement)
Message bus technologies
Kubernetes
Docker
Helm
ArgoCD
GitLab
Jenkins
API clients
Log analysis tools
Dependency scanners
AI coding agents
Cursor
Windsurf
Claude Code
Cline
Continue
AI extensions for VS Code
DeepSeek Coder
Qwen/Qwen-Coder
CodeGeeX
StarCoder
Code Llama
Mistral
Service maps
Risk analyses
Handover documents
Onboarding documents
Infrastructure as Code
Build and test automation
Reproducible development and deployment processes
Agile methods

Location

Remote

Work Type

Remote
Full-time

Experience Level

At least five years of professional experience

Benefits

Flexible working hours
Opportunity to work remotely
Individual training
Conferences
Certifications in cloud, OpenStack, DevOps, and AI
Competitive salary package
Additional benefits
State-of-the-art equipment
Health programmes
Retirement benefits

About the Company

At T-Systems, we provide our business customers with the right system solutions for their digital business.
With our portfolio, we ensure that digital transformation reduces complexity, saves costs, and makes everyday work easier.
Our areas of focus are connectivity, digital solutions, cloud & infrastructure, and security – Let's power higher performance!

Equal Opportunity

People with severe disabilities will be given preference in the event of equal suitability.