CLOUD ENGINEER (AWS AND GENAI)
$38,880–$51,840 year
Remote · Lithuania or Vilnius, Vilnius, Lithuania
Job Summary
Develop and maintain Python-based backend services and AWS Lambda functions; design, build, and deploy cloud infrastructure using AWS CDK; implement secure secret handling and credential management; support GenAI/LLM integrations using Amazon Bedrock and related tooling; contribute to AI agent onboarding workflows and runtime execution frameworks; ensure secure usage of LLMs by preventing data exposure in prompts, logs, and shared environments; troubleshoot cloud infrastructure, deployment, and runtime issues; collaborate with platform and product teams to enable scalable internal AI and cloud capabilities; focus on security, scalability, and operational reliability; travel as required.
Required Qualifications
- Proficiency in Python for backend development
- Hands-on experience with AWS cloud services (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
- Willingness and readiness to travel as required by project or client needs
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