CLOUD ENGINEER (AWS AND GENAI)

LITIT, a joint venture between NTT DATA and Reiz Tech, is a company with deep-rooted industry know-how, dedicated to innovation within the IT sector. Its primary focus is delivering high-quality solutions in the DACH region. With a commitment to excellence, LITIT combines the best of German precision, Japanese work ethics, and Lithuanian talent to provide unparalleled IT service and support to its clients.

Our client is a renowned global enterprise in the automotive industry, widely recognized for its innovation, engineering excellence, and premium-quality products. With operations spanning multiple markets, the company is driving forward its digital transformation by investing heavily in data-driven technologies and cloud-based solutions.

They are committed to building a modern, scalable, and secure data ecosystem that empowers business units worldwide to leverage data for decision-making, product innovation, and operational efficiency. Joining this project means contributing to one of the most exciting digital transformations in the automotive sector today.

We are looking for a Cloud Engineer with strong experience in AWS cloud-native development and modern GenAI integration patterns. The role focuses on building secure, scalable backend services and infrastructure automation, with a strong emphasis on enabling AI-driven capabilities through LLM and agent-based architectures.

You will work primarily in Python, designing and implementing backend systems, cloud infrastructure, and integrations across internal and external platforms, while ensuring strong security and operational reliability.

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  Develop and maintain Python-based backend services and AWS Lambda functions.

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  Design, build, and deploy cloud infrastructure using AWS CDK.

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  Implement and manage AWS services including API Gateway, IAM, Secrets Manager, CloudWatch, S3, SageMaker, and Bedrock.

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  Build secure and scalable integrations between internal systems and external APIs (e.g., Jira and other enterprise tools).

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  Manage IAM roles, policies, and secure access patterns across services and environments.

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  Implement secure secret-handling and credential management practices.

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  Support GenAI/LLM integrations using Amazon Bedrock and related tooling.

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  Contribute to AI agent onboarding workflows and runtime execution frameworks (e.g., MCP/tool-based architectures).

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  Ensure secure usage of LLMs by preventing sensitive data exposure in prompts, logs, and shared environments.

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  Troubleshoot and resolve cloud infrastructure, deployment, and runtime issues.

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  Collaborate with platform and product teams to enable scalable internal AI and cloud capabilities.

• Proficiency in Python for backend development.

• Hands-on experience with AWS cloud services, especially:

  • Lambda, API Gateway, IAM, Secrets Manager, CloudWatch, S3.

  • Experience with SageMaker and/or Bedrock is highly desirable.

• Experience with AWS CDK or other infrastructure-as-code tools.

• Solid understanding of REST APIs and backend service design.

• Experience integrating internal systems with external APIs.

• Familiarity with secure cloud architecture patterns, including IAM and secrets management.

• Exposure to GenAI/LLM systems, especially API-based LLM integration (e.g., Bedrock or similar).

• Understanding of AI agent frameworks, tool-use patterns, or MCP-style architectures (preferred).

• Debugging and troubleshooting skills in distributed/cloud environments.

• Experience working with Git/GitLab in a collaborative development workflow.

• Focus on security, scalability, and operational reliability.

• Willingness and readiness to travel as required by project or client needs is expected. This may include occasional domestic or international travel, sometimes on short notice.