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 maintain cloud solutions using AWS services and infrastructure-as-code practices. Work with AWS services including API Gateway, IAM, Secrets Manager, CloudWatch, S3, SageMaker, and Amazon 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 across AWS environments. Implement secure secrets and credential management practices. Support the integration of Generative AI and LLM capabilities using Amazon Bedrock and related AWS services. Contribute to AI agent onboarding workflows and tool-based architectures where applicable. Ensure secure use 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 deliver scalable cloud and AI solutions. REQUIREMENTS 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. WHAT WE OFFER Salary range: €3000 - €4500 (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.