Cloud Native Engineer (Aws And Python) With Gen Ai Knowhow

ABOUT LITIT

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.

ABOUT THE CLIENT

Our client is a renowned leader in the automotive industry, known for its commitment to innovation, quality, and sustainability. With a strong emphasis on advanced technology and digital transformation, the company is at the forefront of developing cutting-edge solutions that enhance the driving experience. They foster a collaborative and dynamic work environment, where creativity and forward-thinking ideas are encouraged. This is an exciting opportunity to be part of a team that is shaping the future of mobility.

ABOUT THE ROLE

As a Cloud Native Engineer with a focus on AWS and Python, you will be at the forefront of developing innovative solutions that leverage cloud technologies and generative AI. Your expertise in AWS serverless architectures, particularly with services like Lambda, S3, and DynamoDB, will be essential in building scalable back-end systems. You will also work with generative AI technologies such as AWS Bedrock and Azure OpenAI to create intelligent applications. This role offers an exciting opportunity to collaborate with cross-functional teams and contribute to cutting-edge projects that integrate advanced AI capabilities.

RESPONSIBILITIES

• Design and develop serverless applications using AWS services, including Lambda, S3, and DynamoDB.
• Implement generative AI solutions utilizing AWS Bedrock and Azure OpenAI, enhancing application functionality and user experience.
• Collaborate with teams to define and manage APIs in Google Cloud Platform using Apigee-X for efficient API management.
• Ensure seamless integration of back-end systems with front-end applications and third-party services.
• Utilize Infrastructure as Code (IaC) tools to automate the deployment and management of cloud resources.
• Monitor and troubleshoot applications and infrastructure to ensure optimal performance and reliability.
• Stay current with emerging technologies in cloud computing and generative AI, contributing to continuous improvement initiatives.

REQUIREMENTS

• Proven experience as a Cloud Engineer or in a similar role, with a strong focus on AWS and Python.
• Proficiency in AWS serverless technologies, particularly Lambda, S3, and DynamoDB.
• Experience with generative AI technologies, including AWS Bedrock and Azure OpenAI.
• Familiarity with API management, …