Job: Senior Data and Cloud Engineer (m/f/d) (AWS, AI Deployment and Data Integration)

• Design and optimize cloud infrastructure for AI & ML workloads (AWS Bedrock, SageMaker, ECS, Lambda)
• Develop and maintain ETL pipelines to integrate data from Salesforce, Windchill, Office 365 & Bloomreach
• Optimize AWS resource usage for cost efficiency and performance
• Build and maintain APIs & Microservices for AI-powered customer interactions
• Implement DevOps & MLOps best practices (CI/CD, Terraform, Kubernetes, Docker)
• Monitor AI applications for scalability, security, and high availability
• Provide technical leadership and mentorship to junior data engineers and scientists

• Requirements:
  • 5+ years of experience in Cloud Engineering & Data Integration (AWS focus)
  • Strong expertise in Terraform, Kubernetes, and Docker for cloud deployment
  • Proficiency in SQL, NoSQL databases, AWS Redshift, OpenSearch, DynamoDB
  • Experience in API development & microservices architecture (FastAPI, Flask, Node.js)
  • Knowledge of MLOps workflows & AI model deployment
  • Ability to collaborate with AI teams to optimize ML model performance
  • Strong analytical and problem-solving skills

• Secure Jobs
• Professional opportunities to grow
• Flexible working hours
• Sports
• Team events, parties & celebration
• Open culture policy
• Good working enviroment

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