CLOUD ENGINEER (AWS AND GENAI)

ABOUT THE COMPANY 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 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. ABOUT THE ROLE 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. RESPONSIBILITIES Develop and maintain Python-based backend services and AWS Lambda functions. Design, build, and deploy cloud infrastructure using AWS CDK. Implement and manage AWS services including API Gateway, IAM, Secrets Manager, CloudWatch, S3, SageMaker, and Bedrock. Build secure and scalable integrations between internal systems and external APIs (e.g., Jira and other enterprise tools). Manage IAM roles, policies, and secure access patterns across services and environments. Implement secure secret-handling and credential management practices. Support GenAI/LLM integrations using Amazon Bedrock and related tooling. Contribute to AI agent onboarding workflows and runtime execution frameworks (e.g., MCP/tool-based architectures). Ensure secure usage of LLMs by preventing sensitive data exposure in prompts, logs, and shared environments. Troubleshoot and resolve cloud infrastructure, deployment, and runtime issues. Collaborate with platform and product teams to enable scalable internal AI and cloud capabilities. REQUIREMENTS 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. WHAT WE OFFER Salary range: €3000 - €4000 (GROSS) / month. Learning opportunities with compensated certificates, learning lunches, and language lessons. Chance to switch projects after one year. Team building twice a year. Office in Vilnius, Lithuania that offers themed lunches and a pet-friendly environment. Remote work opportunities. Flexible time off depending on a project. Seasonal activities with colleagues. Additional health insurance and loyalty days for Lithuanian residents. Referral bonuses. Recognition of important occasions of your life.