DevOps Engineer - Data and AI

Autosecinnovations — Germany · Posted ~3 hours ago

Senior Contract Hybrid

Skills

Python AWS CI/CD Data Pipelines Cloud Infrastructure DevOps LLM

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Summary ✨ AI‑Generated

DevOps role focused on building reliable data platforms, cloud environments, deployment pipelines, and AI-enabled applications. The position requires strong automation, monitoring, and infrastructure skills.

Highlights

Long-term engineering project combining cloud infrastructure, data platforms, and emerging AI technologies with flexible work arrangements.

Description

🚀 We’re Hiring: DevOps Engineer – Data & AI Location: Frankfurt, Germany | Mainly Remote Onsite: 2 days in Frankfurt Duration: 24 months, with potential extension Workload: 100% Start: As soon as possible We are looking for an experienced DevOps Engineer – Data & AI to join a long-term project in the Transport & Logistics sector, focusing on Data Migration and AI/LLM applications. 🔑 Key Responsibilities - Build and maintain data pipelines for structured and unstructured data in AWS. - Implement testing, validation, monitoring, and observability for data pipelines and applications. - Develop and operate CI/CD pipelines and manage deployments, releases, and versioning. - Configure and optimize AWS cloud and platform resources. - Implement logging, monitoring, traceability, and operational security requirements. - Develop and maintain technical documentation. - Work with LLMs, AI agents, and agentic frameworks to implement project requirements. 🛠️ Must-Have Skills - 5+ years: Python, FastAPI, and database development. - 5+ years: Amazon Bedrock and Amazon Textract. - 3+ years: AI/LLM application development, MLOps and Observability. - Practical production experience with Amazon Bedrock, LangChain & Strands Agents. - 3+ years: AWS, Docker, CI/CD and Terraform. - Experience with LLM-based feature extraction from text and structured data processing. - Experience working with Python & SQL for large-scale data processing. ⭐ Nice to Have - Experience in Railway, Transport, Mobility, or Logistics projects. - Experience implementing IT security standards in enterprise environments. 🇩🇪 Important Requirements - German language proficiency is mandatory. - Valid authorization to work in Germany is mandatory. - Willingness/ability to work 2 days onsite in Frankfurt. - Availability for 100% project allocation.