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Senior Cloud Software Engineer, Backend – AI at tekkminds | JobVerse
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Senior Cloud Software Engineer, Backend – AI
tekkminds
Website
LinkedIn
Senior Cloud Software Engineer, Backend – AI
Germany
Full Time
1 hour ago
Apply Now
Key skills
AWS
Azure
Cloud
Docker
Flux
Google Cloud Platform
Java
Jenkins
Kotlin
Kubernetes
OpenShift
Python
Spring
Spring Boot
SpringBoot
AI
ML
RAG
LangChain
LlamaIndex
MLOps
Qdrant
Pinecone
Weaviate
GCP
Google Cloud
GitHub Actions
ArgoCD
GitHub
GitLab
GitOps
Agile
CI/CD
Communication
Collaboration
Negotiation
About this role
Role Overview
Backend development (50%)
Design and develop cloud-native applications using Java/Kotlin and Spring Boot
Design and implement REST APIs for enterprise systems
Containerization and orchestration with Docker and Kubernetes/OpenShift
Build and optimize CI/CD pipelines
Migration and modernization of existing backend systems
AI integration (50%)
Develop RAG systems (Retrieval-Augmented Generation) with LangChain/LangChain4J
Implement MCP servers for integrating LLMs with existing APIs
Build agent-based architectures and enable agent-to-agent communication
Integrate vector databases and embedding technologies
MLOps: deployment and monitoring of AI components in the cloud
Technical consulting for enterprise customers on AI integration projects
Make architecture decisions at the backend/AI interface
Further develop our internal standards and best practices
Requirements
5+ years of experience in backend development with Java/Kotlin
Strong knowledge of Spring Boot or Jakarta EE
Practical experience with Kubernetes and at least one cloud platform (AWS/Azure/GCP)
Hands-on experience with Docker and CI/CD tools (GitLab, Jenkins, GitHub Actions)
Practical experience with LLMs — whether a personal project, proof of concept, or production deployment
Understanding of RAG concepts or the motivation to learn them quickly
German: business fluent (negotiation level)
English: fluent
Nice-to-have: Python skills for ML/AI components
Experience with LangChain, LlamaIndex, LangChain4J
Knowledge of vector databases (Pinecone, Weaviate, Qdrant, ChromaDB)
Familiarity with Model Context Protocol (MCP) or agent frameworks
Experience with prompt engineering or model fine-tuning
GitOps experience with ArgoCD or Flux
Tech Stack
AWS
Azure
Cloud
Docker
Flux
Google Cloud Platform
Java
Jenkins
Kotlin
Kubernetes
OpenShift
Python
Spring
Spring Boot
SpringBoot
Benefits
Paid certifications – AWS, Azure, GCP, Kubernetes: we cover the costs
Generous learning & development budget for courses and conferences in the AI field
Access to leading AI communities and meetups (speakers welcome)
Freedom to choose tools and hardware – laptop and phone of your choice
Innovation Lab for proofs-of-concept
Modern, well-equipped office with excellent transport connections
Agile teams with short decision-making paths
Freedom to shape your own technical initiatives
Regular internal tech talks on AI trends
Time allocated during work hours for blogs and technical articles
Close collaboration within the team – we learn from each other
Apply Now
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