CLOUD ENGINEER (AWS AND GENAI)

<p style="text-align: start;"><strong>ABOUT THE COMPANY</strong></p><p style="text-align: start;">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.</p><p style="text-align: start;min-height: 1.7em;"></p><p style="text-align: start;"><strong>ABOUT THE CLIENT</strong></p><p style="text-align: start;">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.</p><p style="min-height: 1.7em;"></p><p style="text-align: start;">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.</p><p style="min-height: 1.7em;"></p><p style="text-align: start;"><strong>ABOUT THE ROLE</strong></p><p>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.</p><p style="min-height: 1.7em;"></p><p>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.</p><p style="text-align: start;min-height: 1.7em;"></p><p style="text-align: start;"><strong>RESPONSIBILITIES</strong></p><ul><li><p>Develop and maintain Python-based backend services and AWS Lambda functions.</p></li><li><p>Design, build, and deploy cloud infrastructure using AWS CDK.</p></li><li><p>Implement and manage AWS services including API Gateway, IAM, Secrets Manager, CloudWatch, S3, SageMaker, and Bedrock.</p></li><li><p>Build secure and scalable integrations between internal systems and external APIs (e.g., Jira and other enterprise tools).</p></li><li><p>Manage IAM roles, policies, and secure access patterns across services and environments.</p></li><li><p>Implement secure secret-handling and credential management practices.</p></li><li><p>Support GenAI/LLM integrations using Amazon Bedrock and related tooling.</p></li><li><p>Contribute to AI agent onboarding workflows and runtime execution frameworks (e.g., MCP/tool-based architectures).</p></li><li><p>Ensure secure usage of LLMs by preventing sensitive data exposure in prompts, logs, and shared environments.</p></li><li><p>Troubleshoot and resolve cloud infrastructure, deployment, and runtime issues.</p></li><li><p>Collaborate with platform and product teams to enable scalable internal AI and cloud capabilities.</p></li></ul><p style="text-align: start;min-height: 1.7em;"></p><p style="text-align: start;"><strong>REQUIREMENTS</strong></p><ul><li><p>Proficiency in <strong>Python</strong> for backend development.</p></li><li><p>Hands-on experience with <strong>AWS cloud services</strong>, especially:</p><ul><li><p>Lambda, API Gateway, IAM, Secrets Manager, CloudWatch, S3.</p></li><li><p>Experience with SageMaker and/or Bedrock is highly desirable.</p></li></ul></li><li><p>Experience with <strong>AWS CDK</strong> or other infrastructure-as-code tools.</p></li><li><p>Solid understanding of REST APIs and backend service design.</p></li><li><p>Experience integrating internal systems with external APIs.</p></li><li><p>Familiarity with secure cloud architecture patterns, including IAM and secrets management.</p></li><li><p>Exposure to <strong>GenAI/LLM systems</strong>, especially API-based LLM integration (e.g., Bedrock or similar).</p></li><li><p>Understanding of AI agent frameworks, tool-use patterns, or MCP-style architectures (preferred).</p></li><li><p>Debugging and troubleshooting skills in distributed/cloud environments.</p></li><li><p>Experience working with Git/GitLab in a collaborative development workflow.</p></li><li><p>Focus on security, scalability, and operational reliability.</p></li><li><p>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.</p></li></ul><p style="text-align: start;min-height: 1.7em;"></p><p style="text-align: start;"><strong>WHAT WE OFFER</strong></p><ul><li><p>Salary range: €3000 - €4000 (GROSS) / month.</p></li><li><p>Learning opportunities with compensated certificates, learning lunches, and language lessons.</p></li><li><p>Chance to switch projects after one year.</p></li><li><p>Team building twice a year.</p></li><li><p>Office in Vilnius, Lithuania that offers themed lunches and a pet-friendly environment.</p></li><li><p>Remote work opportunities.</p></li><li><p>Flexible time off depending on a project.</p></li><li><p>Seasonal activities with colleagues.</p></li><li><p>Additional health insurance and loyalty days for Lithuanian residents.</p></li><li><p>Referral bonuses.</p></li><li><p>Recognition of important occasions of your life.</p></li></ul><br><br>