AWS CLOUD ENGINEER

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.

For the development and continuous improvement of the Insurance Data Platform (IDP), we are looking for an experienced AWS Cloud Platform Engineer to design, build, and maintain enterprise-level cloud solutions. The role focuses on developing and operating a data-intensive platform on AWS, supporting data engineering, data mesh, and MLOps capabilities. You will work in close collaboration with architects, product owners, and engineering teams to ensure a scalable, secure, and high-performing platform.

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  Design, implement, and maintain cloud infrastructure and platform services on AWS

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  Build and evolve data platform infrastructure, including data pipelines, data mesh components, and MLOps foundations

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  Develop and manage infrastructure as code using Terraform

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  Ensure platform scalability, security, and reliability across environments

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  Collaborate closely with the Data Platform Architect and customer Product Owners to evolve the platform

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  Work with Data Engineers, supporting them with infrastructure and platform capabilities

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  Contribute to and refine Agile user stories together with the Proxy Product Owner

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  Work on a variety of topics including DevOps, data engineering infrastructure, and ML infrastructure

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  Provide guidance on software architecture and development best practices to the team and stakeholders

• Strong hands-on experience with AWS, including networking, security, and serverless services (e.g., Lambda, Glue)

• Proven experience building and operating cloud platforms or data-intensive systems

• Solid experience with Terraform for infrastructure as code

• Strong programming skills in Python

• Experience supporting or working with data platforms (data pipelines, data mesh, or similar architectures)

• Understanding of DevOps practices, CI/CD, and automated deployments

• Ability to work in an Agile environment and collaborate with cross-functional teams

• Good understanding of software architecture and development principles

• 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.

  Nice to have:

• Experience with MLOps infrastructure and machine learning platforms

• Familiarity with data engineering concepts and tools

• Experience working in enterprise environments with multiple stakeholders