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 maintain cloud solutions using AWS services and infrastructure-as-code practices.

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  Work with AWS services including API Gateway, IAM, Secrets Manager, CloudWatch, S3, SageMaker, and Amazon 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 across AWS environments.

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  Implement secure secrets and credential management practices.

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  Support the integration of Generative AI and LLM capabilities using Amazon Bedrock and related AWS services.

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  Contribute to AI agent onboarding workflows and tool-based architectures where applicable.

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  Ensure secure use 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 deliver scalable cloud and AI solutions.
  

• Basic to intermediate Python programming skills.

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

  • AWS Lambda

  • API Gateway

  • IAM

  • Secrets Manager

  • CloudWatch

  • Amazon S3

• Experience with infrastructure-as-code tools such as Terraform, AWS CDK, or CloudFormation is an advantage.

• Experience with Amazon Bedrock, SageMaker, or other Generative AI/LLM platforms is considered a strong advantage.

• Good understanding of REST APIs and backend service development.

• Experience integrating applications with internal and external APIs.

• Familiarity with AWS security best practices, including IAM and secrets management.

• Exposure to Generative AI or LLM integrations (e.g., Amazon Bedrock, OpenAI, Azure OpenAI, Anthropic, or similar) is preferred.

• Interest in AI agent frameworks, tool orchestration, or MCP-style architectures is an advantage.

• Strong troubleshooting and debugging skills in cloud environments.

• Experience using Git/GitLab within collaborative development teams.

• Understanding of security, scalability, and operational best practices.

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